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Bobby Stojanoski

@bstojanoski.bsky.social
565 followers 579 following 27 posts

Assistant Professor of Psychology. Ontario Tech University. Interested in neural mechanisms underlying social and cognitive development. Also basketball and tennis.

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Reposted by Bobby Stojanoski
Prof Sarah-Jayne Blakemore @sjblakemore.bsky.social · 15/09/2026
Last year, I was honoured to give the Huttenlocher Lecture at the @fluxsociety.bsky.social conference. Over the past year, I’ve been writing it into a paper: The developing adolescent brain: Implications for youth justice and children in criminal proceedings www.sciencedirect.com/science/arti...
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Arielle Keller @ariellekeller.bsky.social · 25/07/2026
Thrilled to share our new paper deriving an ”Exposome Network” of functional connectivity capturing multidimensional env. exposures in youth, now out in DCN! 🌟🧠 doi.org/10.1016/j.dc... Huge thank you Sarah Lichenstein, @yiplab.bsky.social & our amazing Connecticut Collab! ❤️ #devpsy #neuroimaging
doi.org
Redirecting
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Scott Marek @smarek0502.bsky.social · 11/06/2026
What matters most for childhood brain organization? We analyzed 649 variables. The answer: Socioeconomics (SES); with brain patterns pointing at sleep & stress as drivers. Even brain-IQ associations were better explained by SES. In Science today: www.science.org/doi/10.1126/...
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Jin Ke @jinke.bsky.social · 18/05/2026
Preprint alert! 🧠 Using movie-watching fMRI and NLP, we show that prior social impressions shape how new social information is processed and updated over time, while moments of sudden insight ("aha"!) accompany transient shifts in brain activity that predict impression updates. (1/10)
biorxiv.org
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Arielle Keller @ariellekeller.bsky.social · 10/05/2026
Excited to share our latest paper from the lab now out in BP:CNNI! 🌟Superstar postdoc @amarojha.bsky.social and I discuss individual differences in neurodevelopmental trajectories, highlight new work & share ideas for where we might go next! #neuroskyence #neuroimaging #PsychSciSky #CogDev #DevPsy
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PsyArXivBot @psyarxivbot.bsky.social · 22/09/2025
Identifying ADHD Subtypes Based on Subclinical Autistic Traits, Behavioral and Emotional Symptoms, and Executive Function: osf.io/m7d4j
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John Anderson 🇨🇦 @janderz8.bsky.social · 18/09/2025
Hi #canadian researchers - please sign this petition to help ensure funding isn’t cut to tri council agencies (NSERC, SSHRC, and CIHR). We’re looking at potential 15% cuts to ALL federal spending including grants win.newmode.net/canadianasso...
win.newmode.net
New/Mode | Make your voice impossible to ignore
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Dr Lena Matyjek @lmatyjek.bsky.social · 17/09/2025
I'm so excited to finally share work that’s been a couple of years in the making! See our new paper on *social interactions in #autism*, co-authored with Isabel Dziobek, @antoniahamilton.bsky.social & @thaliawheatley.bsky.social in @autisminadulthood.bsky.social 🎉 www.liebertpub.com/doi/10.1177/...
liebertpub.com
Social Interaction Style in Autism: A Narrative Review of Social Behaviors and Outcomes in Autistic and Neurotypical Interactions | Autism in Adulthood
Social interaction difficulties are a defining feature of autism. Historically, research has concentrated on comparing the social behaviors of autistic and neurotypical individuals in cross-neurotype ...
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Jessica Sommerville @jessicas.bsky.social · 11/09/2025
📣📣📣 Hi Everyone! I'm accepting PhD students for the Fall 2026 cycle! Our lab topics include the developmental origins and elaboration of moral cognition/prosocial behavior, persistence, and optimism. More info below!!
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Ellen Roche @ellroche.bsky.social · 06/09/2025
Looking fwd to our neural synchrony symposium today - & especially learning more from @pvrticka.bsky.social on synchrony in #fNIRS. For a preview check out an excellent 2025 review led by @saradefelice.bsky.social - join us 3pm in Hyde 1. 🧠 ⚡️ 🧠 #flux2025 www.sciencedirect.com/science/arti...
De Felice et al 2025: relational neuroscience, insights from hyperscanningFlux 2025 symposium - is neural synchrony a developmental mechanism?
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Flux Society @fluxsociety.bsky.social · 03/09/2025
Welcome to Dublin! From winding cobblestone lanes to literary pubs and centuries of innovation, Dublin blends rich history with vibrant culture. We can’t wait for you to experience it all during Flux 2025 – excellent lineup of speakers, and our 2025 Pre-Conference Workshops, and more! #Flux2025
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Tomer Ullman @tomerullman.bsky.social · 18/08/2025
Now officially out: "Re-evaluating Theory of Mind evaluation in large language models" royalsocietypublishing.org/doi/10.1098/... (by Hu, Sosa, & me)
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Mark Rubin @markrubin.bsky.social · 20/07/2025
Socioeconomic Status in Social Interactions "Low-SES individuals exhibited greater attunement to others and elicited greater comfort in others than high-SES individuals, but impressions were formed in line with homophily effects." doi.org/10.1177/0956... #SocialPsyc #Sociology
With more opportunities for diverse interactions, little is known about how social interactions involving people of different socioeconomic status (SES) may unfold. We investigated social-attunement patterns in dyadic interactions involving SES. Unacquainted adults recruited from a community in the United States interacted with similar-or-different-SES partners in the lab ( N = 130 dyads). Attunement was assessed throughout the interaction by examining physiological linkage —how much a person’s physiological change is predicted by another’s physiological change over time. Overall, low-SES participants showed stronger physiological linkage—indicating greater attunement—to partners across SES. Participants also appeared more comfortable when interacting with low-SES partners. There were no SES differences in dominance during the conversation. After the interaction, participants reported liking similar-SES partners more than different-SES partners. These patterns suggest that during interactions, lower-SES individuals are more other-focused than high-SES individuals, and in-group preference prevails. We note limitations in the racial representation of our sample.
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DrBreaky @drbreaky.bsky.social · 18/07/2025
New paper in Imaging Neuroscience, Generation of surrogate brain maps preserving spatial autocorrelation through random rotation of geometric eigenmodes direct.mit.edu/imag/article... Produces surrogates for null hypothesis testing of nonlinear effects within and correlations between brain maps
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Jonny Smallwood @themindwanders.bsky.social · 17/07/2025
Hi world - its been a hard year with #cancer meaning I missed out lots of fun things. It would mean a lot if you checked out my new album of tracks. Out on all platforms including #Soundcloud (free). Let me know which tracks you like and a special prize if you work out the two levels to the project
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Chris Frith @cdfrith.bsky.social · 09/07/2025
Here is is! direct.mit.edu/opmi/article...
direct.mit.edu
Sharing the World—A Social Aspect of Consciousness
Abstract. Moving through our environment generates multiple changes in my sensations. But I do not experience the environment as changing. My conscious perceptual experience is of a stable environment...
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Elisa Baek @elisabaek.bsky.social · 03/07/2025
Excited to ✨share✨ that our paper on ✨sharing✨ is published! Across 3 studies that build on one another, we show that perceived alignment with one's peers increases the likelihood of information sharing. www.nature.com/articles/s41...
nature.com
Perceived community alignment increases information sharing - Nature Communications
Information sharing is a ubiquitous and consequential behavior. Here, the authors use neuroimaging and behavioral studies to show that people are driven to share information that they believe will be ...
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Laurel Joy Gabard-Durnam @laurelgd.bsky.social · 30/06/2025
We're excited to share this multi-cohort, multi-continental longitudinal effort to characterize early largescale brain network dynamics over the first 2 years of life with EEG microstates out now at @imagingneurosci.bsky.social! direct.mit.edu/imag/article...
direct.mit.edu
Spatiotemporal dynamics of EEG microstate networks over the first two years of life: A multi-cohort longitudinal study
Abstract. Microstates, brief instances of distinct spatial topographies measured with electroencephalography (EEG), offer a novel approach to studying whole-brain network dynamics at a sub-second scal...
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Damien Fair @drdamienfair.bsky.social · 29/06/2025
Alert! ... for the child development world! @fluxsociety.bsky.social @fitngin.bsky.social ‪ The Healthy Brain and Child Development (HBCD) Study has released its first data wave - it’s massive. Check here: docs.hbcdstudy.org and here: nbdc-datahub.org Here’s why it matters 🧠🍼
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Bobby Stojanoski @bstojanoski.bsky.social · 23/05/2025
Very cool work!
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Nikola Stikov @stikov.bsky.social · 20/05/2025
Thrilled to announce that we received a $2.8M grant from @braincanada.bsky.social to continue our work on NeuroLibre through the Canadian Open Neuroscience Platform (‪@conp-pcno.bsky.social‬) 1/2
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Karen Campbell @karampbell.bsky.social · 20/05/2025
Updated version of this paper now published in Cerebral Cortex 🥳 doi.org/10.1093/cerc... @sarahhenderson.bsky.social is on a roll 🙌🏻 #PsychSciSky #neuroskyence #memory #aging
doi.org
Neural state changes during movie watching relate to episodic memory in younger and older adults
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Taylor Bolt @tsbolt.bsky.social · 07/05/2025
First post on an exciting new manuscript online today @natneuro.nature.com - in collab with @lucinauddin.bsky.social and Catie Chang. We take a fresh look at the physiological dynamics associated with the global signal 🧠 ... www.nature.com/articles/s41... Read here: rdcu.be/ek01F
rdcu.be
Autonomic physiological coupling of the global fMRI signal
Nature Neuroscience - The brain and body are necessarily connected. Here the authors show that brain blood flow and electrical activity are coupled with systemic physiological changes in the body.
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Charley Wu @thecharleywu.bsky.social · 25/04/2025
🙌 Hot off the presses @natcomms.nature.com! We created a custom #Minecraft environment to study a long-standing puzzle in cognitive science: How do humans flexibly adapt their individual and social learning strategies in dynamic, realistic situations? Check it out 👉 www.nature.com/articles/s41... 🧵👇
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Uta Frith @utafrith.bsky.social · 10/04/2025
What autism taught us about our social nature. Frith & Frith, Current Directions in Psychology journals.sagepub.com/doi/epub/10....
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Bobby Stojanoski @bstojanoski.bsky.social · 10/04/2025
Very cool. We've been thinking a lot about adversity and social cognition lately. Can't wait to dive into this.
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Tamara Vanderwal @vanderlab.bsky.social · 07/04/2025
Grad student applicants from the US: University of British Columbia (Vancouver, Canada) has re-opened applications for Master's and PhD programs (e.g., biomed engineering, genetics). Info sessions Apr. 15th w/ current US students: www.grad.ubc.ca/us-applicant... Stable, awesome environment!!
grad.ubc.ca
US Applicant Week
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Bobby Stojanoski @bstojanoski.bsky.social · 27/03/2025
Very cool!
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Thomas Yeo @bttyeo.bsky.social · 26/03/2025
It's finally here! Use the Network Correspondence Toolbox to help contextualize your neuroimaging findings 🧠
nature.com
A network correspondence toolbox for quantitative evaluation of novel neuroimaging results - Nature Communications
Here, the authors present the Network Correspondence Toolbox, which enables researchers to examine and report spatial correspondence between their neuroimaging results and widely used brain atlases.
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UCL Faculty of Brain Sciences @uclbrainscience.bsky.social · 17/03/2025
Our brains use basic ‘building blocks’ of information to keep track of how people interact, enabling us to navigate complex social interactions, finds a new study led by @uclpals.bsky.social researchers.
buff.ly
How the brain uses ‘building blocks’ to navigate social interactions
Our brains use basic ‘building blocks’ of information to keep track of how people interact, enabling us to navigate complex social interactions, finds a new study led by UCL researchers.
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Mark Thornton @markthornton.bsky.social · 13/03/2025
New paper out at @naturehumbehav.bsky.social! This is the most comprehensive investigation ever conducted into how people think about relationships: a true tour de force! We identify 5 dimensions and 3 categories that organize relationship concepts. Proud to have made a (small) contribution to it!
a, Three behavioural tasks and their corresponding categories (via UMAP and k-means clustering). The dimensional survey indicated three high-order categories (hostile, private and public, abbreviated as HPP), whereas both cognitive tasks identified six canonical relationship types. b, Text analysis on categorical labels in the free sorting task revealed the label hierarchy: the hierarchical clustering algorithm first derived three HPP categories; next, the ‘public’ cluster was further split into ‘transactional’ and ‘power’, and the ‘private’ cluster was subdivided into ‘family’, ‘romantic’ and ‘affiliative’. The word clouds in the treemap display label names in each cluster. The radar plots illustrate the average scores on the FAVEE dimensions across relationships in each category. c, A dimension–category hybrid model was evaluated by applying k-means clustering to the 5D FAVEE embedding space. Three HPP clusters were found, suggesting that HPP could emerge from the FAVEE space. d, The three building blocks of the relationship concept system and their internal associations. The flow chart illustrates how people represent relationships via the joint framework of dimensions and categories. Five FAVEE dimensions can be understood as filters (for example, all relationships can be filtered into hostile and solidarity relationships via the valence dimension), and relationship categories are formed by uneven distributions projected on dimensions (see the details in Supplementary Fig. 14). Our data suggest that six canonical relationship types (in the grey circles) originate from three HPP categories (in the dashed circles), which inherently emerge from the 5D FAVEE space (arrows).a, Three representational geometries were derived from the full-feature model (all evaluative features), the dimensional model (FAVEE) and the categorical model (HPP). Using leave-one-region-out cross-validation, high similarities of representational geometries (all r > 0.687) were observed across 19 global regions (black areas on the world map), suggesting that FAVEE dimensions and HPP categories are commonly shared across the world. The box plots show the median (horizontal line) and the interquartile range (IQR) ± 1.5 × IQR. Here the full-feature model represents the noise ceiling of cross-region representational similarity. b, Computational modelling of representational geometries using RSA multiple regression. A set of ecological, biological and sociocultural RDMs were fit to predict the cross-regional relationship RDM, and religion and modernization level were the only two factors that could significantly predict the cross-regional variability of representational geometries. The asterisks indicate significant regression coefficients according to the Mantel test, and the dashed lines indicate noise ceilings (Methods). c, Significant correlations between cross-region pairwise dissimilarity of representational geometry and cross-region pairwise dissimilarity in religion and modernization level. The shaded area represents the 95% confidence interval. *P < 0.05; **P < 0.01; ***P < 0.001; one-sided permutation tests.a, Pipeline for generating PLM embeddings. The query (dashed box) was formulated as ‘[DESC] The most salient feature of the relationship [TERM] is [MASK]’, where the [DESC] component was generated by GPT-4 and the [TERM] component was replaced with one of the 258 relationships. The [MASK] component was filled by the PLM with words that are most likely to occur there, given the context. The last layer vector was extracted on the position of [MASK] for each of 258 relationships, resulting in a 258 × 768 matrix. The resemblance of human representations and PLM representations (pretrained on a modern Chinese corpus) was 0.553. b, PCA on modern PLM embeddings. By correlating human ratings on 33 dimensional features with the first seven principal components of PLM embeddings, we found that PLM representations had captured corresponding features of FAVEE structures. c, Correspondence between PCA on human ratings and PCA on modern PLM embeddings (in purple) and ancient PLM embeddings (in green). d, Generalizability of the FAVEE-HPP model in ancient and modern times. RSA correlation on RDMs suggested that the FAVEE dimensions and HPP categories can significantly predict relationship representations in historical and modern times. The box plots indicate RSA correlation distributions at chance level by permutation, and the dashed lines indicate noise ceilings. e, Model comparison analysis suggested that the FAVEE model outperformed 15 other existing theories in predicting ancient and modern PLM embeddings. Broadly, FAVEE was significantly better than any random combination of theoretical features, Ancient–modern differences. Using linear combinations of the five FAVEE components as regressors to predict ancient and modern PLM embeddings, we found substantial changes on ‘formality’ and ‘equality’ for their explained variance in ancient and modern PLM representations, suggesting that these two dimensions may contribute differently to relationship conceptualization across time.PCA loadings on 30 theoretical features derived from multidisciplinary literature. Dark colours on the colour bar represent larger values, with blue indicating negative values and red indicating positive values. b, 159 relationships were plotted in the 5D space on the basis of their scores on each dimension. PCA loadings and relationship scores jointly suggested that RC1 corresponded to formality (formal versus informal), RC2 to activeness (close versus distant), RC3 to valence (harmony versus conflict), RC4 to exchange (concrete versus symbolic) and RC5 to equality (unequal versus equal). Each axis is labelled with the variance explained for the corresponding dimension.
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Richard Sever @richardsever.bsky.social · 11/03/2025
Big news: we are setting up a new non-profit organization to run bioRxiv and medRxiv. It's called openRxiv [no it's not a new preprint server; it's dedicated organization to oversee the servers] openrxiv.org 1/n
openrxiv.org
Homepage - openRxiv
openRxiv is an independent non-profit, the new organizational home for bioRxiv and medRxiv, enabling researchers to instantly share groundbreaking findings with the global scientific community.
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Tomer Ullman @tomerullman.bsky.social · 06/03/2025
new preprint on Theory of Mind in LLMs, a topic I know a lot of people care about (I care. I'm part of people): "Re-evaluating Theory of Mind evaluation in large language models" (by Hu* @jennhu.bsky.social , Sosa, and me) link: arxiv.org/pdf/2502.21098
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Eduardo Garza-Villarreal @egarza.bsky.social · 03/02/2025
We are organizing a Neuroimaging Summer School with the @cervo-ulaval.bsky.social in Quebec and @ibroorg.bsky.social. LATAM graduate students will have all expenses paid. More info at the site and here q2summerschool@inb.unam.mx Calls will close April 20. q2summerschool.com ibro.org/training-opp...
q2summerschool.com
Q2 SUMMER SCHOOL – Microscopy TopicsAdvanced Topics
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Harrison Ritz @hritz.bsky.social · 11/02/2025
Making my OPM-MEG preproc pipeline open-source github.com/harrisonritz... - built on MNE & osl-ephys - python port of AMM - OPM-friendly ICA GUI - flexible yaml configuration - BIDS converter 🧪🧠📈
github.com
GitHub - harrisonritz/opm-preproc: OPM preprocessing using mne-python & osl-ephys
OPM preprocessing using mne-python & osl-ephys. Contribute to harrisonritz/opm-preproc development by creating an account on GitHub.
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Thomas Yeo @bttyeo.bsky.social · 24/01/2025
Thanks to everyone's feedback, we have updated our calculator to optimize sample size N & scan time T for fMRI studies: leonoqr.github.io/ORSP_Calcula... The first new feature is that users can explore how different N & T leads to different accuracy, e.g., N=1000 & T=30min => 81% max accuracy. 🧵
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Corey Horien @coreyhorien.bsky.social · 22/01/2025
Take a look at some of our latest results, diving into task-fMRI data, autism, and predictive modelling: "What is the best brain state to predict autistic traits?" www.medrxiv.org/content/10.1... 1/2
medrxiv.org
What is the best brain state to predict autistic traits?
Autism is a heterogeneous condition, and functional magnetic resonance imaging-based studies have advanced understanding of neurobiological correlates of autistic features. Nevertheless, little work h...
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Kevin Mitchell @wiringthebrain.bsky.social · 18/01/2025
Rethinking Brain Mechanisms in the Light of Evolution with Paul Cisek youtu.be/CnT7jaQX4X8?... - if you want to understand what brains are for (and their functional organisation), this is the way... 👍👏
youtu.be
Rethinking Brain Mechanisms in the Light of Evolution with Paul Cisek
YouTube video by Kempner Institute at Harvard University
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Russ Poldrack @russpoldrack.org · 15/01/2025
Unintended bias in the pursuit of collinearity solutions in fMRI analysis - Amazing work by @jeanette-mumford.bsky.social and @demidenko.bsky.social and many thanks to all of our collaborators! If you are using the monetary incentive delay (MID) task you should definitely read this.
biorxiv.org
Unintended bias in the pursuit of collinearity solutions in fMRI analysis
In task functional magnetic resonance imaging (fMRI), collinearity between task regressors in a design matrix may impact power. Researchers often optimize task designs by assessing collinearity betwee...
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Imaging Neuroscience @imagingneurosci.bsky.social · 02/01/2025
New paper in Imaging Neuroscience by Hallee Shearer, Tamara Vanderwal, et al: Comparing reliability-based measures of functional connectivity between movie and rest: An ROI-based approach direct.mit.edu/imag/article...
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Andrew Pruszynski @andpru.bsky.social · 23/12/2024
📢📢📢 I am very excited to share this new study from the lab! Leveraging large-scale neuropixel recordings across cortex and thalamus, we show how motor circuits do sensory planning and how this improves reaching.
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Akira Miyake @amiyake.bsky.social · 18/12/2024
I'll be teaching a grad-level intro course on executive function (EF) in the spring. This time, I want to spend 3-4 wks covering newer approaches to/conceptions of EF. I know some candidate articles, but I thought I'd ask for your help. It'd be great if you reply w/ links to your suggested papers.
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Science News @scinews.bsky.social · 18/12/2024
The unbearable slowness of being: Why do we live at 10 bits/s? What neural substrate sets this speed limit on the pace of our existence? Why does the brain need billions of neurons to process 10 bits/s? Why can we only think about one thing at a time? www.cell.com/neuron/abstr...
cell.com
The unbearable slowness of being: Why do we live at 10 bits/s?
Zheng and Meister write about the paradoxical slowness of human behavior. Although our senses gather data at 109 bits/s, our overall information throughput is only 10 bits/s. This stark contrast touches on many fundamental aspects of brain function.
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M. Natasha Rajah @mnrajah.bsky.social · 07/12/2024
It is unfortunate how little we know about women’s brain and cognitive aging and the effects of menopause. Help us understand: 🧠 why some 🚺 experience memory difficulties during menopause 🧠 why 2/3 of Alzheimer’s cases are diagnosed in 🚺 Participate in the BHAMM study! Please share this post.
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Jonny Smallwood @themindwanders.bsky.social · 04/12/2024
Excited about this new paper using Multi-dimensional Experience Sampling to identify differences in thoughts between autistic and non-autistic individuals. This study was led by the awesome Will Strawson (not here yet) www.nature.com/articles/s41...
nature.com
Differences in ongoing thought between autistic and non-autistic adults - Scientific Reports
Scientific Reports - Differences in ongoing thought between autistic and non-autistic adults
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Tallie Z Baram @talliezee.bsky.social · 02/12/2024
Just online 🧪🧠Why does a brain projection mediate #earlylifeadversity effects on adult reward behaviors in males but not females? whole-brain mapping & Laura Denardo & #AI pipeline shows crucial #Sex-difference in its innervation! www.biorxiv.org/content/10.1... #Neuroscience @superkash.bsky.social
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hakwan lau @hakwan.bsky.social · 28/11/2024
www.nature.com/articles/s41... "LLMs trained on the vast scientific literature could ... forecast novel results better than human experts. ... Like human experts, when LLMs indicated high confidence in their predictions, their responses were more likely to be correct"
nature.com
Large language models surpass human experts in predicting neuroscience results - Nature Human Behaviour
Large language models (LLMs) can synthesize vast amounts of information. Luo et al. show that LLMs—especially BrainGPT, an LLM the authors tuned on the neuroscience literature—outperform experts in pr...
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Jonny Smallwood @themindwanders.bsky.social · 26/11/2024
Excited about this new paper in Elife where we show for the first time resting state patterns contain information about a participants states (e.g. their thoughts) as well as traits (e.g. personality). Led by the awesome @hardigirl.bsky.social postdoc in THINC Lab elifesciences.org/articles/93689
elifesciences.org
Macro-scale patterns in functional connectivity associated with ongoing thought patterns and dispositional traits
Interactions between attention systems and the default mode network are linked to individual differences in trait and state-level experience and cognition.
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Bobby Stojanoski @bstojanoski.bsky.social · 26/11/2024
A well deserved tribute for a wonderful scientist and person. Congrats, @action-brain.bsky.social
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