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BehavEcolPapers

@behavecolpapers.bsky.social
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#BehavioralEcology #Ethology #HumanBehavior #AnimalBehavior #LifeHistory #AnimalPhysiology papers from #PubMed & journal rss-feeds | -- MF

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BehavEcolPapers @behavecolpapers.bsky.social · 29m
Thyroid Dysfunction and Cognitive Impairment: Neural Mechanisms and Neurofeedback‐Based Interventions Br&Beh
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Thyroid Dysfunction and Cognitive Impairment: Neural Mechanisms and Neurofeedback‐Based Interventions
Brain and Behavior, Volume 16, Issue 10, October 2026.
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BehavEcolPapers @behavecolpapers.bsky.social · 29m
Behavioral Sciences, Vol. 16, Pages 1729: Art Therapy in the Treatment of Traumatic Stress: A Narrative Review BehSciMDPI
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Behavioral Sciences, Vol. 16, Pages 1729: Art Therapy in the Treatment of Traumatic Stress: A Narrative Review
Art therapy is a nonverbal form of therapy that can provide individuals with a safe and supportive environment for expression and processing, particularly of trauma-related emotions and memories. For individuals who have experienced trauma, this nonverbal, creative, and tactile modality may serve as a beneficial complement, integrative aspect, or alternative to current gold-standard forms of care, including exposure-based cognitive behavioral therapy, cognitive processing therapy, and pharmacotherapy. In this narrative review, findings across the hierarchy of evidence, from theory and case studies to controlled trials and meta-analyses, in both adults and youth, are summarized to explore the benefits and limitations of art therapy to address trauma and related psychopathology. Findings are contextualized within the Expressive Therapies Continuum (ETC). The majority of available evidence comes from case and cohort studies conducted with small samples of one to 30 individuals per study. Systematic reviews and meta-analyses were largely limited by inconsistencies in providers, protocols, and assessments, as well as a lack of long-term follow-up data to understand the persistent effects of art therapy. While a singular narrative review cannot fully reflect the diversity and richness of art therapy or types of traumatic stress in different societies and situations, this article aims to guide future research, with specific design recommendations, prioritization of randomized-controlled trials, and a call for manualized treatment protocols.
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BehavEcolPapers @behavecolpapers.bsky.social · 1h
Mechanosensory feedback circuits for copulation control in Drosophila males CurrentBiology
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Mechanosensory feedback circuits for copulation control in Drosophila males
Wang et al. demonstrate that sensory feedback from the genitalia is critical for successful copulation. This study identifies three classes of male genital mechanosensory neurons with distinct response properties and defines downstream premotor and motor pathways that differentially contribute to copulation initiation, maintenance, and termination.
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BehavEcolPapers @behavecolpapers.bsky.social · 1h
A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization @PLOSBiology.org
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A developmental single-cell atlas of the Drosophila visual system glia reveals cell type diversification and subcellular mRNA compartmentalization
by Amanda A. G. Ferreira, Sergio Córdoba, Raghuvanshi Rajesh, Ben Jiwon Choi, Claude Desplan Glial cells are essential for proper nervous system development and function. To understand glial development and function, we comprehensively annotated the glial cells from two large single-cell mRNA-sequencing (scRNA-seq) atlases of the developing Drosophila visual system. This allowed us to identify all glial cell types from larval to adult stages and follow their developmental trajectories to understand how the diversity of glial types is generated during development. We show that whereas most glial types, such as chiasm glia, gradually change their transcriptome as they mature during development, neuropil glia that transcriptionally appear as a single-cell class in larvae, splits into ensheathing (EG) and astrocyte-like (ALG) glia types during pupal stages. We have experimentally validated these developmental trajectories and identified the genetic markers expressed through the differentiation between EG and ALG classes. Unexpectedly, our analysis of scRNA-seq datasets allowed us to discover that the transcriptome of glial cell bodies can be distinguished from that of their processes. We have identified that processes are enriched for distinct mRNAs that were validated in vivo. This work provides the most detailed transcriptomic analysis of optic lobe glia during development and helps explain the expansion of glial diversity observed in the adult visual system. We also present an innovative computational approach to identify mRNA species that are differentially localized to cell bodies or cellular processes.
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BehavEcolPapers @behavecolpapers.bsky.social · 3h
Developing an accessible judgement bias task for non-human primates bioRxivpreprint
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Developing an accessible judgement bias task for non-human primates
Objective and efficient methods for investigating animal's mental states are important for advancing animal welfare research. Behavioural observations and physiological measures provide valuable information but may not fully capture affective states. Judgment Bias Tasks (JBTs) offer a promising method to infer affective states from animals' responses to ambiguous stimuli, as distressed individuals show more pessimistic tendencies. However, the application of JBTs outside research settings may be limited due to time-consuming training and methodological or infrastructural requirements. With the present study, we aimed to test the feasibility of a simple and accessible JBT for non-human primates and to investigate its sensitivity to affective states. Eight brown capuchins (Sapajus apella) and eleven Tonkean macaques (Macaca tonkeana) were tested under positive and negative affective conditions. Individuals were trained to discriminate between never rewarded conditioned stimuli and always rewarded ones. They were then presented with ambiguous probes they had never seen before to analyse their responses to ambiguity. The discrimination training required, on average, about 12 sessions lasting a few minutes each to successfully train every individual animal. Both species significantly discriminated between conditioned stimuli and ambiguous probes. Additionally, macaques showed a greater tendency to interact with the never rewarded condition stimuli and the probes under positive conditions during early sessions. In capuchins, however, the affective conditions presented had no significant effect, although the descriptive analysis tended to show that the latency to investigate the probes was greater in the negative condition. This study also highlights key methodological considerations, such as a decrease in ambiguity across sessions. Overall, the present results suggest that, with a few improvements, this method could be effectively implemented to assess affective states of primates under human care, supporting this tool as a valuable candidate for welfare assessment.
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BehavEcolPapers @behavecolpapers.bsky.social · 4h
ICYMI: Fear learning–induced #brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation @natcomms.nature.com
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Fear learning–induced #brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation
Nature Communications, Published online: 05 October 2026; doi:10.1038/s41467-026-78345-8Zhang et al. show that fear learning reshapes spontaneous brain activity and that these changes can predict individual differences in how extinction memories are later expressed following TMS-modulated extinction.
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BehavEcolPapers @behavecolpapers.bsky.social · 5h
Search party flock formations in migrating #birds bioRxivpreprint
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Search party flock formations in migrating #birds
From the iconic V-formations of geese to the spectacular murmurations of starlings and communal roosting of millions of bramblings, bird flocks keep sparking wonder and scientific curiosity. In science, common themes include how flocking formation impacts the energy expenditure during migration, how it affects risks of predation, how it relates to information spread on food abundance, and how birds manoeuvre in dense flocks. Here, we report on observations of a very different type of flock formation: migrating terns over open sea flying side by side in a search party manner -- strikingly orthogonal to their heading -- with interbird distances up towards 300 m and flocks of around ten birds covering widths up to one kilometer. Such sparse formations of migrating birds stand in great contrast to the classes of bird flocks previously described in the literature. We present simultaneous field observations and ship-based radar measurements of flock characteristics and argue that this is a form of fly-and-forage migration that may be a common, but overlooked, network foraging strategy of surface feeding birds: while most migrants cannot combine migration and foraging, the situation is different for surface feeders like terns.
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BehavEcolPapers @behavecolpapers.bsky.social · 5h
Neonatal overfeeding accelerates age-related sarcopenia and metabolic disorders through lifelong gut mucosa and microbiota programming in #mice @natcomms.nature.com
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Neonatal overfeeding accelerates age-related sarcopenia and metabolic disorders through lifelong gut mucosa and microbiota programming in #mice
Nature Communications, Published online: 07 October 2026; doi:10.1038/s41467-026-78216-2Here, the authors demonstrate that neonatal overfeeding in mice shortens lifespan and accelerates late-life muscle loss. This originates from persistent gut mucus defects and depleted Akkermansia muciniphila, revealing a targetable developmental origin for sarcopenia.
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BehavEcolPapers @behavecolpapers.bsky.social · 5h
Compression as a neural mechanism of mnemonic chunking in prefrontal cortex CurrentBiology
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Compression as a neural mechanism of mnemonic chunking in prefrontal cortex
Chiang and Rich show that macaques spontaneously chunk spatial targets in a self-ordered working memory task. dlPFC neurons compress chunked targets into lower-dimensional representations that are shifted toward chunk centers. Memory-guided behavior reveals similar biases, which suggests a lossy mechanism that sacrifices detail within a chunk to improve overall memory performance.
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BehavEcolPapers @behavecolpapers.bsky.social · 7h
Measuring #bird Morphology From Field Photographs Ecol&Evol
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Measuring #bird Morphology From Field Photographs
Ecology and Evolution, Volume 16, Issue 10, October 2026.
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BehavEcolPapers @behavecolpapers.bsky.social · 7h
Distinct oscillatory neural rhythms support representational precision and confidence in working memory CurrentBiology
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Distinct oscillatory neural rhythms support representational precision and confidence in working memory
Di et al. show that two distinct oscillatory neural rhythms encode different aspects of working memory uncertainty. Alpha-band activity carries probabilistic memory representations whose precision predicts behaviorally reported uncertainty, whereas beta-band activity carries a scalar confidence signal that persists across task epochs and trials.
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BehavEcolPapers @behavecolpapers.bsky.social · 8h
Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood @PLOSBiology.org
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Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood
by Golia Shafiei, Joëlle Bagautdinova, Valerie J. Sydnor, Dani S. Bassett, Deanna M. Barch, Matthew Cieslak, Yong Fan, Elizabeth Flook, Alexandre R. Franco, Gregory Kiar, Audrey C. Luo, Michael P. Milham, Linden Parkes, Taylor Salo, Leah H. Somerville, Tien T. Tong, Russell T. Shinohara, Theodore D. Satterthwaite Intrinsic timescale is a commonly used measure of spontaneous neural dynamics that quantifies the temporal window of processing of neuronal populations. Intrinsic timescale displays a hierarchical cortical organization across multiple species and imaging modalities, with shorter timescales in sensorimotor cortex compared to association cortex. However, less is known about how intrinsic timescale evolves during human brain development and whether its cortical maturation patterns generalize to independent developmental samples. Here we estimate the intrinsic timescale in two independent cross-sectional datasets of youth (HCPD: n = 565; HBN: n = 729; age range 8–22 years) and investigate its neurodevelopmental patterns. We find that developmental patterns in the intrinsic timescale follow a hierarchical pattern that recapitulates an axis spanning sensorimotor to association cortices (S–A axis). Our analysis of an independent healthy young adult dataset (HCPYA: n = 973, age range 22–37 years) underscores the specificity of these developmental findings, suggesting that the intrinsic timescale develops along the S–A axis in youth and stabilizes in adulthood. Together, these results reveal convergence between major axes of cortical organization and development, highlighting intrinsic timescale as a principled marker of hierarchical brain maturation in youth.
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BehavEcolPapers @behavecolpapers.bsky.social · 9h
Mechanistic regulation of begging #behavior due to experimental food supplementation across an urbanization gradient HormBehav
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Mechanistic regulation of begging #behavior due to experimental food supplementation across an urbanization gradient
Publication date: November 2026 Source: Hormones and Behavior, Volume 186 Author(s): Ivan C.C. Provinciato, Amy M. Yanagitsuru, Ava Ciaccia, Olivia Oldham, Jenny Q. Ouyang
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BehavEcolPapers @behavecolpapers.bsky.social · 9h
AICO: Feature significance tests for supervised learning @PNAS.org
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AICO: Feature significance tests for supervised learning
Proceedings of the National Academy of Sciences, Volume 123, Issue 39, September 2026. SignificanceMachine-learning models now inform scientific discovery, industrial decision-making, and public policy, yet their inner workings often remain opaque. Understanding which features drive a model’s predictions is essential for transparency and ...
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BehavEcolPapers @behavecolpapers.bsky.social · 9h
Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods bioRxivpreprint
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Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods
The mechanisms by which organisms extract relevant information from complex sensory signals and use it for decision-making constitute a fundamental issue in biological and cognitive sciences. In social animal societies, individual decision-making is profoundly shaped by information provided by conspecifics. Collective patch-foraging experiments in the laboratory provide a controlled setting in which social information use can be quantified. Here, we consider a go/no-go task in which groups choose between two patches differing in food reward probability. We use agent-based simulations, underpinned by an augmented collective drift-diffusion model, to investigate alternative mechanisms for representing and integrating social information. We consider two representations, continuous (counting representation) and discrete (pulsatile representation), and two integration mechanisms, biasing the decision threshold (threshold modulation) and modifying the accumulated belief (belief modulation), yielding four distinct social models, in addition to a non-interacting model. We first characterize the collective dynamics generated by these models across cognitive parameters and experimental conditions. The temporal dynamics of group accuracy provide informative signatures of the underlying mechanisms. We then assess model selection and parameter identifiability using Bayesian inference and Wasserstein distance minimization, applied to group-accuracy and departure-time distributions. Bayesian inference using distributions of group accuracy provides the most reliable identification across the conditions considered. Importantly, model selection and parameter identifiability are associated with different aspects of collective behavior: model selection is closely linked to the presence of oscillations in the temporal dynamics, whereas parameter identifiability is more closely related to the global accuracy value. Thus, the information available for distinguishing the underlying cognitive mechanisms is not necessarily the same as that required to recover their parameters. Our results further show that identification depends not only on model structure but also on the experimental conditions. Overall, this study provides practical guidelines for identifying socio-cognitive mechanisms in collective foraging experiments.
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BehavEcolPapers @behavecolpapers.bsky.social · 10h
Comparison of sodium azide- and cooling-based immobilization methods for Caenorhabditis elegans chemotaxis assays bioRxivpreprint
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Comparison of sodium azide- and cooling-based immobilization methods for Caenorhabditis elegans chemotaxis assays
Chemotaxis assays are widely used to quantify sensory-driven behavioral responses in Caenorhabditis elegans. Sodium azide is commonly used to immobilize animals at assay endpoints, although concerns have been raised that diffusion beyond the endpoint region could affect behavior before a choice is completed. We compared sodium azide-mediated immobilization with post-assay cooling using the repellent 1-octanol and attractant diacetyl. Wild-type animals showed robust avoidance of 30% 1-octanol and attraction to 0.5% diacetyl with either method, across multiple assay durations, and with or without worm food Escherichia coli OP50. These results support post-assay cooling as an alternative endpoint-scoring method.
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BehavEcolPapers @behavecolpapers.bsky.social · 11h
Correction: Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images SciReports
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Correction: Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images
Scientific Reports, Published online: 06 October 2026; doi:10.1038/s41598-026-71803-9Correction: Deep learning-based detection of retinal detachment with vitreous hemorrhage in ocular ultrasound images
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BehavEcolPapers @behavecolpapers.bsky.social · 12h
Behavioral Sciences, Vol. 16, Pages 1730: Childhood Maltreatment Is Associated with Fire-Related Attitudes: The Role of Environmental Identity in a Portuguese Community Sample BehSciMDPI
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Behavioral Sciences, Vol. 16, Pages 1730: Childhood Maltreatment Is Associated with Fire-Related Attitudes: The Role of Environmental Identity in a Portuguese Community Sample
Deliberate fire-setting represents a significant environmental and public safety concern, yet research has primarily focused on identified firesetters and forensic or clinical populations. This study examined associations between childhood maltreatment and self-reported fire-related attitudes and tendencies in a Portuguese community sample, considering environmental identity as a potential indirect pathway and residential context in these associations. A cross-sectional online survey was conducted among 5077 Portuguese adults using self-report measures of childhood maltreatment, environmental identity, and fire-related attitudes and tendencies. Structural equation modeling and bootstrapped indirect-effect analyses were complemented by multigroup path analyses across rural, suburban, and urban settings. Physical abuse, sexual abuse, emotional neglect, and physical neglect were directly associated with higher levels of fire-related attitudes and tendencies. Significant indirect associations through connectedness with nature were observed for emotional abuse, sexual abuse, emotional neglect, and physical neglect, whereas protection of nature was involved in a specific indirect association with emotional neglect. Structural associations were largely comparable across residential contexts, despite modest group differences in construct levels. These findings suggest that developmental adversity and psychological relationships with nature are relevant correlates of fire-related attitudes and tendencies, while causal interpretations and inferences about actual fire-setting behavior remain unwarranted.
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BehavEcolPapers @behavecolpapers.bsky.social · 12h
The C‐Reactive Protein–Triglyceride–Glucose Index and Functional Outcomes in Acute Ischemic Stroke Patients Following Endovascular Thrombectomy Br&Beh
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The C‐Reactive Protein–Triglyceride–Glucose Index and Functional Outcomes in Acute Ischemic Stroke Patients Following Endovascular Thrombectomy
Brain and Behavior, Volume 16, Issue 10, October 2026.
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BehavEcolPapers @behavecolpapers.bsky.social · 13h
Adult zebrafish favor vision over flow sensing in increasingly complex hydrodynamic environments CurrentBiology
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Adult zebrafish favor vision over flow sensing in increasingly complex hydrodynamic environments
Dave et al. use an augmented reality flow tank to demonstrate that freely swimming adult zebrafish respond to optic-flow perturbations differently depending on the hydrodynamic environment. During natural behaviors such as station-holding and escape, fish increase their reliance on vision when the flow sensing becomes less predictable.
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BehavEcolPapers @behavecolpapers.bsky.social · 14h
Temporal dynamics of association patterns in Geoffroy's spider monkeys, Ateles geoffroyi: a multiscale approach using temporal multiplex networks AnimBeh
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Temporal dynamics of association patterns in Geoffroy's spider monkeys, Ateles geoffroyi: a multiscale approach using temporal multiplex networks
Publication date: November 2026 Source: Animal Behaviour, Volume 241 Author(s): Sandra E. Smith Aguilar, Cristina Jasso-del Toro, Filippo Aureli, Edoardo Pietrangeli, Gabriel Ramos-Fernández
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BehavEcolPapers @behavecolpapers.bsky.social · 16h
Nightjars trade off cruising speed efficiency for hovering capabilities and link upstroke thrust production with restricted wing folding @PLOSBiology.org
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Nightjars trade off cruising speed efficiency for hovering capabilities and link upstroke thrust production with restricted wing folding
by L. Christoffer Johansson, Gabriel Norevik, Sonja Friman, Anders Hedenström The European nightjar (Caprimulgus europaeus) is a long-distance migrant that also uses slow, hovering, flight as part of its feeding ecology. This reflects complex tradeoffs in aerodynamic mechanisms and makes studies of their flight performance, in relation to their wing shape, particularly interesting. Here we reveal, using wake visualization and aerodynamic measurements of nightjars flying in a wind tunnel, a unique double tip vortex phenomenon at cruising speeds. This correlates with reduced span efficiency at these flight speeds, suggesting relatively high costs of generating lift. Our interpretation is that the nightjar’s broad, slotted wing tip shape promotes lift during slow flight while incurring reduced aerodynamic efficiency at faster speeds. In addition, we found outer wing upstroke thrust generation during cruising flight—a characteristic previously attributed to bats and hummingbirds—in nightjars. This challenges an existing paradigm that considers an active upstroke to primarily add weight support in birds. Our kinematic analysis suggests this phenomenon may stem from constraints on wing folding during the upstroke, something that may apply generally to flapping flight. Our results highlight the tradeoffs seen in animals engaged in multiple costly behaviors with different aerodynamics optimization criteria based on ecological demands and offer potential solutions applicable in bioinspired engineering.
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BehavEcolPapers @behavecolpapers.bsky.social · 16h
ICYMI: Ghd7‑triggered transcriptional regulation for synergistically improving rice eating quality and yield @natcomms.nature.com
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Ghd7‑triggered transcriptional regulation for synergistically improving rice eating quality and yield
Nature Communications, Published online: 05 October 2026; doi:10.1038/s41467-026-78253-xRice breeders struggle to boost yield and eating quality simultaneously as the two traits often work against each other. Here, the authors identify a CCT domain transcription regulator encoding gene Ghd7 in determining rice grain amylose content and functioning in balancing starch and protein to coordinate yield and quality.
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BehavEcolPapers @behavecolpapers.bsky.social · 16h
Preoptic transcriptomes during courtship reveal the molecular basis of behavioral coordination in a highly social cichlid bioRxivpreprint
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Preoptic transcriptomes during courtship reveal the molecular basis of behavioral coordination in a highly social cichlid
Human and non-human animals often coordinate their behavior, a phenomenon thought to strengthen relationships by enabling sequential assessment of an interaction partners quality as a mate or rival, a process that directly affects evolutionary fitness. There is increasing evidence that behavioral coordination is reflected by synchronized neural activity of the on interacting partners, though few studies have examined synchronization at the level of gene expression. Here, we use Burtons Mouthbrooder cichlid, Astatotilapia burtoni, to examine how neural transcriptomes are synchronized while male-female pairs engaged in variable amounts of reproductive behavior. A. burtoni females naturally display highly coordinated reproductive behavior with a male partner only directly prior to spawning, yet this behavior can be experimentally induced with exogenous prostaglandin F2 alpha (PGF2a), which also acts by releasing pheromones to promote male courtship behavior. We quantified reproductive behavior and circulating sex steroid hormones of PGF2a-treated pairs. We then used transcriptome analysis of the preoptic area - a key node in the regulation of reproductive behavior across vertebrates - and identified gene co-expression modules that showed sex-specific activity in modulating reproductive behavior. Our results, which implement a novel approach to measure transcriptome synchronization, demonstrate a remarkable degree of male-female POA transcriptome synchronization that depends largely on the reproductive responsiveness of the female, mirroring how natural reproduction is driven by female behavior. Together, our work advances our understanding of the molecular mechanisms by which interacting individuals align their actions and how they experience social interaction.
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BehavEcolPapers @behavecolpapers.bsky.social · 17h
Failure-risk classification in water distribution networks using hydraulic modelling and machine learning SciReports
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Failure-risk classification in water distribution networks using hydraulic modelling and machine learning
Scientific Reports, Published online: 06 October 2026; doi:10.1038/s41598-026-74913-6Failure-risk classification in water distribution networks using hydraulic modelling and machine learning
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BehavEcolPapers @behavecolpapers.bsky.social · 17h
Experimental reduction of male wing length reveals benefits of pairing with good fathers AnimBeh
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Experimental reduction of male wing length reveals benefits of pairing with good fathers
Publication date: Available online 5 October 2026 Source: Animal Behaviour Author(s): Kelly D. Miller, Kelly L. O'Neil, Alexander J. Mueller, Ashley J. Atkins Coleman, J. Dylan Maddox, E. Keith Bowers
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BehavEcolPapers @behavecolpapers.bsky.social · 18h
The petting diaries: investigating owner-#cat petting styles, responses and preferences AAnimBehS
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The petting diaries: investigating owner-#cat petting styles, responses and preferences
Publication date: Available online 5 October 2026 Source: Applied Animal Behaviour Science Author(s): Kristina O’Hanley, David L. Pearl, Mary Klinck, Lee Niel
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BehavEcolPapers @behavecolpapers.bsky.social · 19h
Viral community structure in New Zealand’s aquatic #birds is associated with scavenging #behavior CurrentBiology
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Viral community structure in New Zealand’s aquatic #birds is associated with scavenging #behavior
Waller et al. show that scavenging behavior is associated with viral community composition in wild New Zealand birds. Scavengers harbor more diverse viromes and more mammalian-associated viruses, thus highlighting host ecology as an important consideration for understanding viral diversity and surveillance.
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BehavEcolPapers @behavecolpapers.bsky.social · 21h
#brain organoids grafted into cortex-free #mice will advance human #brain research @Nature.com
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#brain organoids grafted into cortex-free #mice will advance human #brain research
Nature, Published online: 06 October 2026; doi:10.1038/d41586-026-02967-7Cell-based models of the human cortex transplanted into mice produce neurons that are inaccessible in vitro, and could enable scientists to link brain injury to behaviour.
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BehavEcolPapers @behavecolpapers.bsky.social · 21h
Liquid-state orientational precursors bias crystal polymorph nucleation @PNAS.org
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Liquid-state orientational precursors bias crystal polymorph nucleation
Proceedings of the National Academy of Sciences, Volume 123, Issue 39, September 2026. SignificanceUpon nucleation, supercooled liquids often form crystal nuclei that differ from the thermodynamically most stable crystal structure, presenting a long-standing puzzle in crystallization theory. Our results show that this behavior is rooted in ...
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BehavEcolPapers @behavecolpapers.bsky.social · 22h
Context and Identity Cues Mediate Individual Recognition in a Highly Social Cichlid Fish bioRxivpreprint
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Context and Identity Cues Mediate Individual Recognition in a Highly Social Cichlid Fish
Social animals must identify, evaluate, and appropriately respond to other individuals, often relying on multiple sources of information to guide context-dependent behavior. While individual recognition is thought to be widespread and critical for many social interactions (e.g. territoriality, dominance hierarchies), convincing demonstrations across animals beyond class-level recognition remain rare. Further, the cues animals use to recognize individuals remains poorly understood, especially in natural environments where they are exposed to numerous cues which may require cue integration. Here, we examine how socially dominant males of the African cichlid fish, Astatotilapia burtoni, use individual recognition to modulate aggression and whether this process depends on the spatial context. Using naturalistic experimental setups, we exposed males to familiar and unfamiliar neighbors while systematically manipulating spatial location and presenting a neighbor either singly or simultaneously to simulate competing social cues. Additionally, we measured circulating testosterone to assess endocrine correlates of recognition and aggression. We found that focal males habituated to familiar neighbors only when they remained in a consistent territorial location, demonstrating that spatial context is important for recognition. Further, when familiar and unfamiliar neighbors were presented simultaneously, males preferentially aggressed toward unfamiliar rival and adjust their aggressive response to the perceived threat of their neighbors, indicating that identity-based threat assessment is maintained under competing social demands. Together, our results show that recognition is a flexible, multi-faceted process that depends on the integration of identity and contextual information to guide territorial decision-making under dynamic social conditions.
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BehavEcolPapers @behavecolpapers.bsky.social · 23h
Structural topology optimization of railway vehicle wheel damping plates considering acoustic-vibration interaction SciReports
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Structural topology optimization of railway vehicle wheel damping plates considering acoustic-vibration interaction
Scientific Reports, Published online: 06 October 2026; doi:10.1038/s41598-026-74060-yStructural topology optimization of railway vehicle wheel damping plates considering acoustic-vibration interaction
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Behavioral Sciences, Vol. 16, Pages 1725: The Neurotypical Assumption in Consumer Research: Rethinking Consumer Heterogeneity Through Neurocognitive Diversity BehSciMDPI
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Behavioral Sciences, Vol. 16, Pages 1725: The Neurotypical Assumption in Consumer Research: Rethinking Consumer Heterogeneity Through Neurocognitive Diversity
Understanding why individuals perceive, interpret, and respond differently to the same environmental stimuli represents one of the central questions in the behavioral sciences. Across the psychology, cognitive science, neuroscience, and behavioral decision research, substantial effort has been devoted to explaining the mechanisms underlying human attention, perception, learning, judgment, and decision making. Although these disciplines increasingly acknowledge considerable individual variability in cognitive functioning, theoretical models have often emphasized generalizable cognitive mechanisms, raising questions about the conditions under which behavioral theories generalize across populations. This article introduces the neurotypical assumption as a heuristic concept for identifying an under-specified scope condition in consumer research: the extent to which established theoretical mechanisms and empirical regularities generalize across neurocognitive variation. Rather than presuming that consumer theories are inherently neurotypical, the concept directs attention to whether neurocognitive characteristics constitute theoretically meaningful sources of heterogeneity that may qualify particular consumer-theory mechanisms and predictions under particular conditions. Building on insights from consumer research, cognitive neuroscience, developmental psychology, and neurodiversity scholarship, we develop a conceptual framework that examines how neurocognitive variation may interact with marketplace environments and potentially qualify processes of attention, information processing, learning, judgment and decision making, and marketplace interaction. The framework therefore positions neurocognitive variation as a potential source of mechanism-relevant consumer heterogeneity whose theoretical significance requires empirical examination. This article makes three contributions. First, it introduces the neurotypical assumption as a heuristic for identifying potentially under-specified neurocognitive scope conditions in consumer theory. Second, it integrates interdisciplinary evidence to examine whether documented neurocognitive variation provides a theoretically plausible basis for specifying additional sources of consumer heterogeneity. Third, it develops an integrative framework that positions neurocognitive variation within person–environment interactions and identifies testable research directions for examining when and how neurocognitive characteristics may qualify established consumer-theory mechanisms and predictions.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Association of Sarcopenia With Global, Motor, Cognitive, and Swallowing Function Prognosis in Stroke Patients: A Systematic Review and Meta‐Analysis Br&Beh
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Association of Sarcopenia With Global, Motor, Cognitive, and Swallowing Function Prognosis in Stroke Patients: A Systematic Review and Meta‐Analysis
Brain and Behavior, Volume 16, Issue 10, October 2026.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Free-ranging Manx shearwaters do not rely on magnetic maps or compasses CurrentBiology
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Free-ranging Manx shearwaters do not rely on magnetic maps or compasses
There is well-supported scientific consensus and widespread public knowledge that birds can use the earth’s magnetic field to orient. However, Lewin et al. show that long-distance foraging seabirds do not require geomagnetic cues to navigate, which suggests that diurnal non-passerines might have markedly different navigational mechanisms from night-migratory songbirds.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Whole-organ single-cell mapping defines growth dynamics and clonal organization in developing and adult zebrafish livers @PLOSBiology.org
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Whole-organ single-cell mapping defines growth dynamics and clonal organization in developing and adult zebrafish livers
by Hsiao-Yuh Roan, Xuejiao Tian, Wei-Chen Chu, Chia-Ming Lee, Hsin Chen, Fiorency Santoso, Chung-Han Wang, Yu-Hsiu Liu, Uday Kumar, He-Yun Hsiao, Chiou-Hwa Yuh, Bi-Chang Chen, Chen-Hui Chen Vertebrate organs undergo massive growth during the post-embryonic period. Yet, our understanding of how this organ-wide process is organized at single-cell resolution has been limited by an inability to monitor individual cells of different types throughout intact adult organs. Here we establish an integrated workflow of whole adult-organ expansion microscopy (WAO-ExM) that enables in toto single-cell-resolved visualization of every hepatocyte within a complete adult vertebrate liver. Using transgenic reporters to label hepatocyte nuclei, we quantified cell expansion dynamics across the entire post-embryonic growth period, finding that an intact adult liver spanning ~5 mm thickness had an average of 1,265,206 hepatocytes. The data further revealed a non-linear growth regimen in which cell number increased by 538-fold, with a temporally concentrated burst that was not reflective of overall body growth. Integration of lineage tracing with WAO-ExM revealed that cell number increases were driven by a few hepatocytes undergoing drastic clonal expansion at the whole-organ scale. Disruption of extracellular matrix laminins decoupled liver shaping from total cell number increases, suggesting independent regulatory control of tissue architecture and cell proliferation. We also utilized WAO-ExM to monitor diseased livers and other adult organs, including heart and pancreas. Altogether, these findings bridge micrometer-scale cell behaviors with centimeter-scale organ growth, and establish a generalizable platform for adult vertebrate organs to be fully resolved at bona fide single-cell resolution.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Light-independent and pulsing-sensitive magnetic compass responses in planarians bioRxivpreprint
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Light-independent and pulsing-sensitive magnetic compass responses in planarians
Many animals can sense the Earth's magnetic field and use it for orientation. However, the mechanism underlying magnetoreception has not been identified, partially due to the lack of reproducible and genetically tractable model systems. Here, we establish a directional assay for planaria to test their responses to different magnetic fields. Girardia dorotocephala showed a preferred magnetic directionality in the horizontal plane in an Earth-strength magnetic field in the absence of visible light, which shifted if the azimuth was rotated and was absent when the magnetic field was cancelled. This directional preference differed between labs. Furthermore, the directional response was affected by a short but strong magnetic pulse, resulting in a random distribution. The effect of the pulse was temporary, with directional preferences recovering over several days. Taken together, these data are consistent with a magnetoreception mechanism in planarians that functions independently of light and relies on permanently magnetised material, such as single-domain magnetite. As planarians are genetically tractable and well-established, they are a promising invertebrate model organism that might offer insights into the mechanisms underlying magnetoreception in animals.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
A hybrid deep learning and cryptographic framework using signcryption for robust biometric template protection SciReports
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A hybrid deep learning and cryptographic framework using signcryption for robust biometric template protection
Scientific Reports, Published online: 06 October 2026; doi:10.1038/s41598-026-74048-8A hybrid deep learning and cryptographic framework using signcryption for robust biometric template protection
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Central amygdala CRF+ neurons tune defensive state stability during threat CurrentBiology
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Central amygdala CRF+ neurons tune defensive state stability during threat
Demaestri et al. show that defensive behavior to threat is shaped by how strongly immobility persists. In males, chronic unpredictable stress produces rigidity by overly stabilizing immobility during trace threat. Central amygdala CRF+ neurons and CRFR1 signaling limit this immobility persistence, thus identifying a circuit mechanism that supports adaptive threat responding.
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BehavEcolPapers @behavecolpapers.bsky.social · 06/10/2026
Intestinal lipid metabolism controls molecular and #behavioral immunity through NHR-68 and gut–#brain signaling in Caenorhabditis elegans @PLOSBiology.org
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Intestinal lipid metabolism controls molecular and #behavioral immunity through NHR-68 and gut–#brain signaling in Caenorhabditis elegans
by Jie Ren, Yu Sang, Young-Mo Kim, Ernesto S. Nakayasu, Alejandro Aballay Animals must allocate limited energetic resources across competing defense programs in response to infection. Here, we show that the conserved nuclear hormone receptor NHR-68 integrates fatty acid metabolism with the neural control of molecular and behavioral immunity in Caenorhabditis elegans. Acting in parallel with NHR-10, NHR-68 controls genes involved in polyunsaturated fatty acid (PUFA) metabolism. Loss of NHR-68 disrupts linoleic acid (LA) homeostasis, impairing pathogen avoidance behavior. Supplementation with LA restores avoidance, and fat-3 inhibition, which elevates LA, enhances pathogen avoidance, whereas loss of LA synthesis by fat-2 inhibition diminishes this behavior, indicating that LA promotes behavioral immunity. We further show that NHR-68 acts in the intestine to regulate linoleic acid homeostasis, and that changes in intestinal lipid metabolism influence an AWC-dependent pathogen-avoidance circuit through intestine-to-neuron communication. NHR-68 suppresses activation of the PMK-1/p38 MAPK and DAF-16/FOXO pathways, which mediate molecular immune responses. These findings identify a gut-brain transcriptional circuit that connects intestinal lipid metabolism to neural and immune outputs, revealing a mechanism by which the metabolic state coordinates behavioral and molecular defenses to optimize host protection.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Developing an accessible judgement bias task for non-human primates bioRxivpreprint
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Developing an accessible judgement bias task for non-human primates
Objective and efficient methods for investigating animal's mental states are important for advancing animal welfare research. Behavioural observations and physiological measures provide valuable information but may not fully capture affective states. Judgment Bias Tasks (JBTs) offer a promising method to infer affective states from animals' responses to ambiguous stimuli, as distressed individuals show more pessimistic tendencies. However, the application of JBTs outside research settings may be limited due to time-consuming training and methodological or infrastructural requirements. With the present study, we aimed to test the feasibility of a simple and accessible JBT for non-human primates and to investigate its sensitivity to affective states. Eight brown capuchins (Sapajus apella) and eleven Tonkean macaques (Macaca tonkeana) were tested under positive and negative affective conditions. Individuals were trained to discriminate between never rewarded conditioned stimuli and always rewarded ones. They were then presented with ambiguous probes they had never seen before to analyse their responses to ambiguity. The discrimination training required, on average, about 12 sessions lasting a few minutes each to successfully train every individual animal. Both species significantly discriminated between conditioned stimuli and ambiguous probes. Additionally, macaques showed a greater tendency to interact with the never rewarded condition stimuli and the probes under positive conditions during early sessions. In capuchins, however, the affective conditions presented had no significant effect, although the descriptive analysis tended to show that the latency to investigate the probes was greater in the negative condition. This study also highlights key methodological considerations, such as a decrease in ambiguity across sessions. Overall, the present results suggest that, with a few improvements, this method could be effectively implemented to assess affective states of primates under human care, supporting this tool as a valuable candidate for welfare assessment.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Retraction Note: Research on plug-and-play correlation enhancement modules in deep multi-label learning SciReports
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Retraction Note: Research on plug-and-play correlation enhancement modules in deep multi-label learning
Scientific Reports, Published online: 05 October 2026; doi:10.1038/s41598-026-73638-wRetraction Note: Research on plug-and-play correlation enhancement modules in deep multi-label learning
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Fear learning–induced #brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation @natcomms.nature.com
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Fear learning–induced #brain dynamics predict individual extinction memory expression following transcranial magnetic stimulation
Nature Communications, Published online: 05 October 2026; doi:10.1038/s41467-026-78345-8Zhang et al. show that fear learning reshapes spontaneous brain activity and that these changes can predict individual differences in how extinction memories are later expressed following TMS-modulated extinction.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Behavioral Sciences, Vol. 16, Pages 1724: Short Video Addiction Risk Transitions Among University Students: A Three-Wave Latent Transition Analysis of Unintentional Procrastination and Self-Concept Clarity BehSciMDPI
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Behavioral Sciences, Vol. 16, Pages 1724: Short Video Addiction Risk Transitions Among University Students: A Three-Wave Latent Transition Analysis of Unintentional Procrastination and Self-Concept Clarity
This study examined changes in short video addiction (SVA) among university students. Three-wave longitudinal data were used to identify relative SVA profiles, estimate transitions among these profiles, and examine the prospective associations of unintentional procrastination and self-concept clarity with subsequent profile membership. A total of 2145 students completed at least one assessment. The primary latent transition analysis included 1135 students with valid SVA data at two or more waves, and the predictor analyses included 679 three-wave completers. Three ordered profiles characterized by lower, moderate, and higher SVA were identified. These profiles represent relative latent classes within the present sample and are not diagnostic categories. Profile membership showed both stability and movement across adjacent waves. In the classification error-adjusted predictor analyses, higher unintentional procrastination was associated with lower odds of membership in the lower profile relative to the higher profile among students initially in the moderate profile. Higher self-concept clarity was associated with greater odds of maintaining lower or moderate profile membership relative to membership in the higher profile. These findings indicate that relative SVA profile membership can change over time and that unintentional procrastination and self-concept clarity show different prospective associations with subsequent profile membership.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Glymphatic System Dysfunction and its Associated Factors in Wilson's Disease: A DTI–ALPS Study Br&Beh
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Glymphatic System Dysfunction and its Associated Factors in Wilson's Disease: A DTI–ALPS Study
Brain and Behavior, Volume 16, Issue 10, October 2026.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
A root-cap-specific transcriptional network controls root hair elongation and nutrient foraging CurrentBiology
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A root-cap-specific transcriptional network controls root hair elongation and nutrient foraging
Wang et al. reveal that the lateral root cap (LRC) remotely controls epidermal root hair growth. The LRC-specific transcription factor SOMBRERO triggers epidermal auxin accumulation by promoting AUX1-mediated auxin influx and suppressing ECH2-dependent auxin biosynthesis. This inter-tissue communication links LRC turnover to root hair elongation and nutrient foraging.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Daily briefing: The sky as you’ve never seen it — the month’s best science images @Nature.com
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Daily briefing: The sky as you’ve never seen it — the month’s best science images
Nature, Published online: 01 October 2026; doi:10.1038/d41586-026-03141-9Coloured stripes across the sky and a crab caught in jellyfish tentacles are among this month’s sharpest science shots. Plus, a ‘speech clock’ could determine how fast you’re ageing and how invasive plant species are displacing farmers in Africa.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood @PLOSBiology.org
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Intrinsic timescale develops hierarchically from sensorimotor to association cortex in youth and stabilizes in adulthood
by Golia Shafiei, Joëlle Bagautdinova, Valerie J. Sydnor, Dani S. Bassett, Deanna M. Barch, Matthew Cieslak, Yong Fan, Elizabeth Flook, Alexandre R. Franco, Gregory Kiar, Audrey C. Luo, Michael P. Milham, Linden Parkes, Taylor Salo, Leah H. Somerville, Tien T. Tong, Russell T. Shinohara, Theodore D. Satterthwaite Intrinsic timescale is a commonly used measure of spontaneous neural dynamics that quantifies the temporal window of processing of neuronal populations. Intrinsic timescale displays a hierarchical cortical organization across multiple species and imaging modalities, with shorter timescales in sensorimotor cortex compared to association cortex. However, less is known about how intrinsic timescale evolves during human brain development and whether its cortical maturation patterns generalize to independent developmental samples. Here we estimate the intrinsic timescale in two independent cross-sectional datasets of youth (HCPD: n = 565; HBN: n = 729; age range 8–22 years) and investigate its neurodevelopmental patterns. We find that developmental patterns in the intrinsic timescale follow a hierarchical pattern that recapitulates an axis spanning sensorimotor to association cortices (S–A axis). Our analysis of an independent healthy young adult dataset (HCPYA: n = 973, age range 22–37 years) underscores the specificity of these developmental findings, suggesting that the intrinsic timescale develops along the S–A axis in youth and stabilizes in adulthood. Together, these results reveal convergence between major axes of cortical organization and development, highlighting intrinsic timescale as a principled marker of hierarchical brain maturation in youth.
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Mechanistic regulation of begging #behavior due to experimental food supplementation across an urbanization gradient HormBehav
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Mechanistic regulation of begging #behavior due to experimental food supplementation across an urbanization gradient
Publication date: November 2026 Source: Hormones and Behavior, Volume 186 Author(s): Ivan C.C. Provinciato, Amy M. Yanagitsuru, Ava Ciaccia, Olivia Oldham, Jenny Q. Ouyang
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BehavEcolPapers @behavecolpapers.bsky.social · 05/10/2026
Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods bioRxivpreprint
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Socio-cognitive models in a patch foraging setting: a case study for model selection and parameter identifiability methods
The mechanisms by which organisms extract relevant information from complex sensory signals and use it for decision-making constitute a fundamental issue in biological and cognitive sciences. In social animal societies, individual decision-making is profoundly shaped by information provided by conspecifics. Collective patch-foraging experiments in the laboratory provide a controlled setting in which social information use can be quantified. Here, we consider a go/no-go task in which groups choose between two patches differing in food reward probability. We use agent-based simulations, underpinned by an augmented collective drift-diffusion model, to investigate alternative mechanisms for representing and integrating social information. We consider two representations, continuous (counting representation) and discrete (pulsatile representation), and two integration mechanisms, biasing the decision threshold (threshold modulation) and modifying the accumulated belief (belief modulation), yielding four distinct social models, in addition to a non-interacting model. We first characterize the collective dynamics generated by these models across cognitive parameters and experimental conditions. The temporal dynamics of group accuracy provide informative signatures of the underlying mechanisms. We then assess model selection and parameter identifiability using Bayesian inference and Wasserstein distance minimization, applied to group-accuracy and departure-time distributions. Bayesian inference using distributions of group accuracy provides the most reliable identification across the conditions considered. Importantly, model selection and parameter identifiability are associated with different aspects of collective behavior: model selection is closely linked to the presence of oscillations in the temporal dynamics, whereas parameter identifiability is more closely related to the global accuracy value. Thus, the information available for distinguishing the underlying cognitive mechanisms is not necessarily the same as that required to recover their parameters. Our results further show that identification depends not only on model structure but also on the experimental conditions. Overall, this study provides practical guidelines for identifying socio-cognitive mechanisms in collective foraging experiments.
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