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Kaustubh Kulkarni

@krkulkarni.bsky.social
106 followers 314 following 1 posts

Research track psychiatry resident @ Yale Computational psychiatry, addiction, neuroimaging, neuromodulation

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Reposted by Kaustubh Kulkarni
Tal Golan @talgolanneuro.bsky.social · 28/08/2026
How can we design experiments that make computational models disagree? One section of our new @natrevneuro.nature.com Review with @kriegeskorte.bsky.social and @heikoschuett.bsky.social examines studies that used stimulus sets designed to elicit distinct predictions from competing models. 1/16
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Ben Hayden @benhayden.bsky.social · 13/08/2026
New paper from the BCM Neurosurgery research team! "Neural basis of compositional control" led by @assiachericoni.bsky.social and @justfineneuro.bsky.social ! 🧵 www.nature.com/articles/s41...
nature.com
Neural basis of compositional control - Nature
Behaviour of human participants in a prey-pursuit task reflects dynamic blending of goal-specific control policies, with hippocampus estimating latent states, anterior cingulate cortex orchestrating p...
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Shawn Rhoads @shawnrhoadsphd.com · 13/07/2026
1/ I am thrilled to begin sharing the latest release of pyEM, a Python package I built for fitting cognitive computational models to behavioral data using hierarchical expectation maximization (EM) with maximum a posteriori estimation (MAP). github.com/shawnrhoads/...
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Michael Fox @foxmdphd.bsky.social · 25/06/2026
Is brain circuit targeted TMS better than standard clinical TMS for treating depression? New study led by Joe Taylor @braincircuits.bsky.social out today in @jamapsychiatry.com says yes! Connectivity- vs Scalp-Based Targeting of Accelerated TMS for Depression jamanetwork.com/journals/jam...
jamanetwork.com
Connectivity- vs Scalp-Based Targeting of Accelerated TMS for Depression
This randomized clinical trial estimates the effect size of connectivity- vs scalp-based targeting of accelerated transcranial magnetic stimulation for treatment-resistant depression.
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Erica Busch @elbusch.bsky.social · 11/06/2026
Our new paper is out this week in Nature Neuroscience! www.nature.com/articles/s41... We built a BCI that works with the brain's natural geometry — and we found that people could learn to play a video game with their brains in <1 hr of training. This efficiency is groundbreaking & here's why:
nature.com
Human learning of noninvasive brain–computer interfaces via manifold geometry - Nature Neuroscience
Busch et al. use nonlinear neural manifolds to help humans gain rapid control over a noninvasive brain–computer interface, allowing them to learn how to play a video game with real-time fMRI neurofeed...
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Sam Verschooren @samversc.bsky.social · 04/06/2026
🎉New paper out today in Nature Reviews Psychology🎉 with @mjdahl.bsky.social, @mariamaly.bsky.social, and @thiasmittner.bsky.social. We've been working on a unified framework for attentional states and the dynamics of transitions between them. 🧵
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Kevin J Miller @kevinjmiller.bsky.social · 03/06/2026
Computational models are a key part of science but discovering new ones is hard! DataDIVER discovers concise models from data, which surface new mechanistic ideas and clear predictions for future experiments From Google Deepmind Neuroscience Lab + collaborators www.biorxiv.org/content/10.6...
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Stefano Palminteri @stepalminteri.bsky.social · 05/06/2026
New article out in @natcomms.nature.com Reference-point dependent reinforcement learning in humans and rats By Lachlan Ferguson, Magda Soukupova (co-first), Seb Bouret, me and Shauna Parkes. www.nature.com/articles/s41...
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Earl K. Miller @earlkmiller.bsky.social · 26/05/2026
OFC encodes option values while LPFC tracks spatial locations during both overt (eye movements) and covert (internal) attention. Effects of overt and covert attention on decision-making dynamics in prefrontal cortex doi.org/10.64898/202... #neuroscience
doi.org
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Rui Xu @rui-xu.bsky.social · 20/05/2026
New preprint as my first post! "Monosynaptic connections link functionally similar regions in human cortex." We use electrical stimulation + fMRI in epilepsy patients to map whole-brain monosynaptic connectivity at 42 cortical sites. doi.org/10.64898/202... 1/n
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Earl K. Miller @earlkmiller.bsky.social · 18/05/2026
Our brains don’t think in a steady stream. They rhythmically “scan” different alternatives, using attention cycles to sample and compare choices. Rhythmic sampling of multiple decision alternatives in the human brain www.nature.com/articles/s41... #neuroscience
nature.com
Rhythmic sampling of multiple decision alternatives in the human brain - Nature Communications
How humans process competing information when making multi-alternative decisions remains unclear. Here, the authors show that the brain resolves the trade-off between “evaluating within” and “comparin...
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Robb Rutledge @robbrutledge.bsky.social · 14/05/2026
🎉New positions!🎉 Postdoc and Research technician openings in our lab @yale for computational psychiatry research. Technician position a great stepping stone to grad school. More info: rutledgelab.org/positions Work w/big data from our smartphone apps and large clinical samples happinessquest.app
rutledgelab.org
Postdoc and Research Technician Positions — Rutledge Lab
Now hiring a postdoc and a research technician with an interest in neuroeconomics or computational psychiatry.
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Hugo Spiers @hugospiers.bsky.social · 12/05/2026
Coordinated human prefrontal dynamics sustain task-state representations during learning www.biorxiv.org/content/10.6...
biorxiv.org
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Tom Donoghue @tomdonoghue.bsky.social · 11/05/2026
Delighted to share our new publication in @apertureohbm.bsky.social - the "Human Single-Neuron Pipeline" for managing human single-neuron research projects! It's an open-source resource of new & existing tools & resources curated for HSN projects: hsnpipeline.github.io
hsnpipeline.github.io
HSNPipeline
A pipeline for processing and analyzing human single-neuron data.
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Yaniv Abir @yanivabir.bsky.social · 27/04/2026
👋 Happy to see this paper published in PNAS www.pnas.org/doi/10.1073/pnas.2529176123 Asking: is curiosity a homeostatic drive, or a policy learned through reinforcement? How can we tell, and why does it matter? 🧵👇 With Jane Mok, @chrisbaldassano.bsky.social, Caroline Marvin, and Daphna Shohamy 🙏
pnas.org
Learning reinforces curiosity for related information | PNAS
Human curiosity is dynamic, however the principles governing its fluctuations remain debated. Here, we test two competing hypotheses about how past...
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Ned Block @neddo.bsky.social · 20/03/2026
www.nature.com/articles/s41...
nature.com
Clarifying the conceptual dimensions of representation in neuroscience
Nature Reviews Neuroscience - Appeals to representation are widespread, despite neuroscientists’ uncertainty about what kind of findings count as evidence for such claims. In this...
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yuzhu194.bsky.social @yuzhu194.bsky.social · 01/12/2025
Excited to share our new Nature Methods paper on DeepCor, a contrastive autoencoder for denoising fMRI. DeepCor separates neural signal from noise at the voxel level, works for single participants, and outperforms CompCor by up to 215% on real data. 1/7 doi.org/10.1038/s415...
doi.org
DeepCor: denoising fMRI data with contrastive autoencoders - Nature Methods
DeepCor is a deep-learning-based denoising approach for task-based and resting-state fMRI data that can be used even for single participants.
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Shawn Rhoads @shawnrhoadsphd.com · 22/04/2026
📢 New preprint out now! In three samples (N=594), including a U.S.-representative cohort and a test-retest cohort, we formalize social motivation, learning, and homeostatic control within a single computational framework and identify a phenotype linked to chronic loneliness doi.org/10.31234/osf...
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Marcelo Mattar @marcelomattar.bsky.social · 21/04/2026
New Annual Review with @nathanieldaw.bsky.social: “Planning in the Brain: It's Not What You Think It Is.” We argue that the brain's 'planning' machinery is mostly used for learning from simulated experience, and that thinking prospectively at decision time is just one special case of this process.
annualreviews.org
Planning in the Brain: It&apos;s Not What You Think It Is
The neuroscience of planning has long been analogized to search algorithms in artificial intelligence (AI), which simulate future actions to guide immediate choices. We argue that advances in both neu...
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Rahul Bhui @rbhui.bsky.social · 17/04/2026
What makes adaptive decision-making possible? New preprint connecting cognitive, social, biological, and computational views! w/ Dorst, FeldmanHall, @smfleming.bsky.social, @catehartley.bsky.social, Gottlieb, Lejarraga, Müller-Trede, @angelaradulescu.bsky.social, and Rosati osf.io/preprints/ps...
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Stephanie Noble @sneuroble.bsky.social · 17/04/2026
Posting on behalf of Brendan: Common feature selection practices may capture only the “tip of the iceberg” of distributed brain–behavior relationships Specifically, typically discarded features can predict behavior just as well as top-ranked ones, yet produce diverging interpretations
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Grace Lindsay @neurograce.bsky.social · 12/04/2026
New preprint from my lab! We study how reinforcement learning & selective attention interact. To do so, we built a set of models describing different ways that value & reward prediction error can modulate top-down attention. We compare model outcomes to monkey data from a color value learning task
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Robb Rutledge @robbrutledge.bsky.social · 09/04/2026
📣🔥 Early bird registration now open for 2026 Computational Psychiatry Conference cpconf.org at Yale July 14-16. Late-breaking abstracts now open (deadline: May 8) Trainee pre-conference (July 13) registration open (free!) See you in New Haven! #CPConf2026
cpconf.org
Computational Psychiatry Conference
New Haven, USA (July 14-16, 2026)
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Robb Rutledge @robbrutledge.bsky.social · 09/04/2026
New this year: free trainee pre-conference on July 13 organized by @cehaeffner.bsky.social @adanyajohnson.bsky.social Pre-conference tickets are free for main conference attendees but space is limited to 75 people so register early! www.cpconf.org/faq-cpconf20...
cpconf.org
FAQ — #cpconf2026
The Computational Psychiatry Pre-Conference is a one-day workshop and symposium (approximately 10:00 AM–6:30 PM) designed to prepare early-career researchers for the main conference while fostering collaboration and skill-building.
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Stefano Palminteri @stepalminteri.bsky.social · 02/04/2026
🧵 I gave Claude two things: a short paper (doi.org/10.1073/pnas...) and a raw behavioural dataset with 3 lines of variable descriptions. Then I asked it to fit three computational RL models described only by equations in the manuscript. No code, no toolbox, no guidance on the fitting procedure. 1/3
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Xiaosi Gu @xiaosigu.bsky.social · 26/03/2026
Excited to share our new paper proposing a new computational model accounting for the dynamic interaction btw drug #craving and #decision-making, led by Kaustubh Kulkarni, MD/PhD rdcu.be/fab6B #AddictionScience #Neuroscience #ComputationalPsychiatry #BehavioralScience
nature.com
A computational mechanism linking momentary craving and decision-making in alcohol drinkers and cannabis users - Nature Mental Health
This study investigated the computational mechanisms linking momentary craving and decision-making in people with moderate to high addiction risk levels for alcohol or cannabis use, uncovering differe...
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Eiko Fried @eikofried.bsky.social · 18/03/2026
Hey friends, my new paper was just published in JAMA Psychiatry. I draw on biological species classification to sketch a new framework for psychiatric nosology. Brief summary follows below. Full text link: jamanetwork.com/journals/jam... 🧪 #PsychSciSky #MentalHealth
jamanetwork.com
Mental Disorders as Homeostatic Property Clusters
This narrative review explores the idea of understanding mental disorders according to homeostatic property clusters rather than through typical classification systems.
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Caroline Nettekoven @carobellum.bsky.social · 10/03/2026
🧠 Resting-state fMRI is often treated as the gold standard for studying the brain’s intrinsic organization. But is it actually the best way to estimate functional architecture? We tested this directly. 🧵1/8
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PessoaBrain @pessoabrain.bsky.social · 08/03/2026
𝗪𝗵𝗮𝘁'𝘀 𝘁𝗵𝗲 𝗿𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀𝗵𝗶𝗽 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗺𝗮𝗻𝗶𝗳𝗼𝗹𝗱𝘀 𝗮𝗻𝗱 𝗿𝗲𝗰𝘂𝗿𝗿𝗲𝗻𝘁 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀 𝗶𝗻 𝘁𝗵𝗲 𝗯𝗿𝗮𝗶𝗻? This looks like a must read (suppl material bursting with goodies). #neuroskeyence doi.org/10.1016/j.ne...
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Sarah Yip @yiplab.bsky.social · 05/03/2026
Excited to share our latest paper in which we discuss merging theory-and data- driven computational psychiatry in a large transdiagnostic cohort study (N=2400) www.biologicalpsychiatrycnni.org/article/S245... Christopher Pittenger, Godfrey Pearlson @annierhcheng.bsky.social @sobp-org.bsky.social
biologicalpsychiatrycnni.org
Threading the needle: Practical considerations for merging theory-driven computational psychiatry with data-driven analytics to enhance precision health at scale
The rapidly evolving field of computational psychiatry enables quantification of specific cognitive processes, and their underlying mechanisms, in a translational and potentially scalable manner, usin...
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David G. Clark @david-g-clark.bsky.social · 04/03/2026
I am totally pumped about this new work . "Task-trained RNNs" are a powerful and influential framework in neuroscience, but have lacked a firm theoretical footing. This work provides one, and makes direct contact with the classical theory of random RNNs: www.biorxiv.org/content/10.6...
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Kate Wassum @katewassum.bsky.social · 25/02/2026
🚨📃New Wassum Lab Paper 📃🚨 Out today, Melissa Malvaez, Nick Griffin, Andrea Suarez & team discovered that dopamine can enable reward predictions to shape how we pursue reward. Surprisingly, we find that dopamine can constrain instrumental reward seeking. www.jneurosci.org/content/46/8... 🧵👇🏻
jneurosci.org
Dopamine Supports Reward Prediction to Shape Reward-Pursuit Strategy
Reward predictions not only promote reward pursuit, they also shape how reward is pursed. Such predictions are supported by environmental cues that signal reward availability and probability. Such cue...
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Vijay Mohan K Namboodiri @vijay-mkn.bsky.social · 15/02/2026
Very excited to post our paper led by @daburke.bsky.social www.nature.com/articles/s41... where we uncover a simple mathematical rule underlying how brains learn that a cue predicts a reward. 1/26
nature.com
Duration between rewards controls the rate of behavioral and dopaminergic learning - Nature Neuroscience
Cue–reward learning rate scales proportionally with the time between rewards. Consequently, learning over a fixed duration is independent of the number of trials. This challenges trial-based dopamine ...
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Aldo Battista @aldobattista.bsky.social · 06/02/2026
Thrilled to share that our work on neural circuits and economic decision-making is now published in @cp-neuron.bsky.social . Huge thanks to @camillopadoasch.bsky.social and @xjwanglab for this journey. www.sciencedirect.com/science/arti...
sciencedirect.com
A neural circuit framework for economic choice: From building blocks of valuation to compositionality in multitasking
Value-guided decisions are a cornerstone of cognition, yet the underlying circuit-level mechanisms remain elusive. We used reinforcement learning to t…
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tafazolisina.bsky.social @tafazolisina.bsky.social · 11/02/2026
Thrilled that my paper is out in the @nature.com. We explored how the brain builds complex tasks by compositionally combining simpler sub-task representations. The brain flexibly performs multiple tasks by dynamically reusing neural subspaces for sensory inputs and motor actions rdcu.be/eRVUk
rdcu.be
Building compositional tasks with shared neural subspaces
Nature - The brain can flexibly perform multiple tasks by compositionally combining task-relevant neural representations.
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Yang Teoh @yyangteoh.bsky.social · 04/02/2026
Check out @orielf.bsky.social & I's chapter "Emotion and Choice: The Integral Role of Emotion in Constructing Value" in the new volume, Neuroeconomics: Core Topics and Current Directions, edited by @dvsmith.bsky.social @thepsychologist.bsky.social & @dfareri.bsky.social doi.org/10.1007/978-...
doi.org
Emotion and Choice: The Integral Role of Emotion in Constructing Value
In the centuries-long history of decision-making research, emotion&#8217;s role in choice has only been investigated relatively recently. Early theories of decision-making, which conceived of emotions...
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Edvard I Moser @edvardmoser.bsky.social · 28/01/2026
The hippocampal map has its own attentional control signal! Our new study reveals that theta #sweeps can be instantly biased towards behaviourally relevant locations. See 📹 in post 4/6 and preprint here 👉 www.biorxiv.org/content/10.6... 🧵(1/6)
biorxiv.org
Attention-like regulation of theta sweeps in the brain's spatial navigation circuit
Spatial attention supports navigation by prioritizing information from selected locations. A candidate neural mechanism is provided by theta-paced sweeps in grid- and place-cell population activity, which sample nearby space in a left-right-alternating pattern coordinated by parasubicular direction signals. During exploration, this alternation promotes uniform spatial coverage, but whether sweeps can be flexibly tuned to locations of particular interest remains unclear. Using large-scale Neuropixels recordings in freely-behaving rats, we show that sweeps and direction signals are rapidly and dynamically modulated: they track moving targets during pursuit, precede orienting responses during immobility, and reverse during backward locomotion — without prior spatial learning. Similar modulation occurs during REM sleep. Canonical head-direction signals remain head-aligned. These findings identify sweeps as a flexible, attention-like mechanism for selectively sampling allocentric cognitive maps. ### Competing Interest Statement The authors have declared no competing interest. European Research Council, Synergy Grant 951319 (EIM) The Research Council of Norway, Centre of Neural Computation 223262 (EIM, MBM), Centre for Algorithms in the Cortex 332640 (EIM, MBM), National Infrastructure grant (NORBRAIN, 295721 and 350201) The Kavli Foundation, https://ror.org/00kztt736 Ministry of Science and Education, Norway (EIM, MBM) Faculty of Medicine and Health Sciences; NTNU, Norway (AZV)
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Mark Histed @markhisted.org · 30/01/2026
From @patrickmineault.bsky.social, on how scientists can use Claude Code to help with all the heavy data analysis coding that is a big part of our lives. use a make system, set up folder structures, write tests, use git, use package managers. Notes on notebooks and visualizations too. 🧪
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Xiaosi Gu @xiaosigu.bsky.social · 29/01/2026
🌟 Job alert! We are looking for a postdoc to join a multidisciplinary research team working on the Individually Measured Phenotypes to Advance Computational Translation at Yale (IMPACT-Y) study. postdocs.yale.edu/posts/2026-0...
impact-mh.org
IMPACT-MH: Clinical and behavioral fingerprints of psychopathology – IMPACT-MH
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Prof. Vladimir Litvak @vlitvak.bsky.social · 28/01/2026
Preprint alert!!! We recorded directly from the human ventral tegmental area (VTA), the principal source of cortical dopaminergic innervation, while patients performed an instrumental learning task. 🧵👇 www.biorxiv.org/content/10.6...
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Serge Ahmed @sergeahmed.bsky.social · 27/01/2026
Reward as drive reduction, the return! This opinion piece on the explanatory and unifying power of the homeostatic reinforcement learning framework is amazingly accessible, despite its technical nature, and extremely insightful 👏 www.sciencedirect.com/science/arti... 1/2
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Sarah Yip @yiplab.bsky.social · 26/01/2026
Looking for a postdoc in #computationalpsychiatry? Apply here to join an interdisciplinary team and work with a large longitudinal transdiagnostic dataset postdocs.yale.edu/posts/2026-0... @RobbRutledge @xiaosigu @DrChrisPitt @PearlsonGodfrey @ACNPorg @YaleMed
postdocs.yale.edu
Computational Psychiatry Postdoctoral Associate Opening at Yale School of Medicine, Department of Psychiatry
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Jack Gallant @gallantlab.org · 23/12/2025
‪Voxelwise Encoding Models (VEMs) are a great framework for modeling fMRI data, but it can be difficult to implement. We've made VEM accessible by providing software, tutorials and reviews that guide its use an implementation. Get it here: gallantlab.org/blog/2025-12... #neuroscience, #neuroimaging
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Kaustubh Kulkarni @krkulkarni.bsky.social · 16/01/2026
www.nature.com/articles/s41...
nature.com
Predictive coding of reward in the hippocampus - Nature
Calcium imaging of mouse hippocampal neurons while mice learn a reward-based task over several weeks provides insight into the evolution of the hippocampal reward representation during extended period...
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Xiaosi Gu @xiaosigu.bsky.social · 13/01/2026
I'm looking to hire a postgraduate research associate in Computational Psychiatry for my new lab at Yale. Please see link below for details & help RT 🙏 postdocs.yale.edu/posts/2026-0...
postdocs.yale.edu
Postgraduate Associate Position in Computational Psychiatry — Department of Psychiatry, School of Medicine
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Sam Gershman @gershbrain.bsky.social · 09/01/2026
With some trepidation, I'm putting this out into the world: gershmanlab.com/textbook.html It's a textbook called Computational Foundations of Cognitive Neuroscience, which I wrote for my class. My hope is that this will be a living document, continuously improved as I get feedback.
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Ben Hayden @benhayden.bsky.social · 23/12/2025
New Perspective from myself, Sarah Heilbronner and @myoo.bsky.social . “Rethinking the centrality of brain areas in understanding functional organization” in Nature Neuroscience. 🧵 rdcu.be/eVZ1A
rdcu.be
Rethinking the centrality of brain areas in understanding functional organization
Nature Neuroscience - Parcellation of the cortex into functionally modular brain areas is foundational to neuroscience. Here, Hayden, Heilbronner and Yoo question the central status of brain areas...
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Benjamin Kay @benjaminkay.bsky.social · 24/12/2025
This is your brain on Ritalin. Got your attention? Stimulant medications like Ritalin (methylphenidate) do, but not in the way you might think. They don't act directly on the brain’s attention systems! Find out what's really happening in @cellpress.bsky.social. doi.org/10.1016/j.ce...
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Ben Hayden @benhayden.bsky.social · 04/12/2025
Thoughtful review with some good recent historical perspective on the ongoing paradigm shift that is radically changing the way we think about what brain areas do. www.nature.com/articles/s41...
nature.com
How distributed is the brain-wide network that is recruited for cognition? - Nature Reviews Neuroscience
Both localized and distributed views on the functional organization of the brain have been put forward. In this Perspective, Rosen and Freedman examine the degree to which these two views account for ...
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Rick Betzel @richardfbetzel.bsky.social · 02/12/2025
Exciting new work from @lindenmp.bsky.social and friends! Inferring intrinsic neural timescales using optimal control theory www.nature.com/articles/s41...
nature.com
Inferring intrinsic neural timescales using optimal control theory - Nature Communications
Here, the authors develop novel dynamical methods to model brain regions’ intrinsic neural timescales (INTs) from data, and find that they couple whole-brain structural connectivity to dynamic switchi...
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