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Clara Sava-Segal

@csavasegal.bsky.social
262 followers 410 following 4 posts

PhD Student in the FINN Lab at Dartmouth csavasegal.github.io

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Reposted by Clara Sava-Segal
Hayoung Song @hayoungsong.bsky.social · 30/09/2026
Medial PFC interacts with the hippocampus to retrieve context-congruent memories.. but HOW?? was what started this. Simulating mPFC-HIP🧠, we designed an RNN🤖 that retrieves memories similar in context, on top of self-attention. It learns to retrieve like humans faster! arxiv.org/abs/2609.37791
arxiv.org
A neural network that maintains and retrieves memories based on context
Every day, people continuously infer situational context and adjust the way they understand and remember the world. Context, signaled by the prefrontal cortex, is known to modulate working memory and ...
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Reposted by Clara Sava-Segal
Mark Thornton @markthornton.bsky.social · 08/09/2026
Excited to share this new preprint from @lindseytepfer.bsky.social, @chujunlin.bsky.social, and me, in which we investigate the different ways our brains allow us to change our minds about people! "The neurocomputational mechanisms of naturalistic trait impression updating" osf.io/preprints/ps...
Schematics of scanner and online experimental designs. A) Scanner participants first completed individual difference surveys regarding their demographics, attitudes towards social groups, mood, and personality. In the MRI scanner, they then watched short autobiographical narrative videos. After the scan, they made ratings about the traits of the individuals in the videos they viewed. B) Online participants first made ratings about the traits of the individuals in the videos based on still frame images. They then made continuous ratings of the traits of these individuals over the course of the videos.Analysis schematic. A) Spatiotemporal representational similarity analysis was used to relate patterns of brain activity over the course of SEND videos to i) continuous ratings of the traits of the individuals in those videos, ii) multimodal annotations (face, voice, and speech semantics), and iii) representations learned by neural networks to support computational operations (compression, multimodal fusion, temporal integration, and prediction). B) Intersubject representational similarity analysis was used to relate intersubject correlations in brain activity to individual differences in trait impression updating, demographics, social group attitudes, mood, and personality. Computational operations of trait impression updating. The left column illustrates brain regions within which pattern similarity is uniquely associated with representations learned by neural networks trained to engage in the corresponding computational operation: compression, multimodal fusion, temporal integration, or prediction. The right column illustrates where these effects uniquely statistically mediate the association between brain activity and trait ratings. All results control for the raw annotations of face, voice quality, and speech semantics. Results are significant (p < .05) corrected for multiple comparisons across parcels via maximal statistic permutation testing.Individual differences in trait impression updating. IS-RSA results reflecting where individual differences were associated with ISC while watching SEND videos. A) Reflects where idiosyncratic trait impression updating was correlated with ISC. B) Likewise illustrates where four categories of potentially explanatory individual differences – social group attitudes, participant demographics, participant personality (Big 5), and participant mood (PANAS) predict ISC during SEND video viewing. C) Shows where social group attitudes statistically mediate the association between idiosyncratic trait impressions and ISC. Results are significant (p < .05) corrected for multiple comparisons across parcels via maximal statistic permutation testing.
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Reposted by Clara Sava-Segal
Jim Heys @jim-heys.bsky.social · 03/09/2026
I’m very excited to share our new paper, led by the very talented Jack Bowler, a postdoc in the lab! www.nature.com/articles/s41... We all know that the way we learn something matters. But how does a training curriculum actually shape how the brain learns to solve a problem? a 🧵 1/N
nature.com
Structured experience shapes strategy learning and neural dynamics in the medial entorhinal cortex - Nature Neuroscience
The authors use recurrent neural networks to predict how structured prior experience shapes neural dynamics as mice learn flexible timing strategies during complex context-dependent behavior.
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Paul Taylor @afni-pt.bsky.social · 31/08/2026
Have you ever felt like something was missing from your #fmri results? Have you been worried about potential reproducibility issues? Well, this new @natmethods.nature.com article with 40+ coauthors shows how the simple change to transparent thresholding helps both. Go Figure! rdcu.be/B4tikBETdQZa
A comparison of old and new thresholding approaches for fMRI data. The newer, transparent thresholding allows for interpreting context, more complete modeling, a reduction of biases and an increase in meaningful content. This all leads to more accurate interpretations and improved reproducibility evaluations.
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Sam Nastase @samnastase.bsky.social · 21/08/2026
We’re recruiting a full-time lab manager to join the Shared Minds Lab at USC! This will be a great opportunity for someone who wants to get hands-on experience with research before starting a PhD program in psychology or neuroscience. More below:
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Reposted by Clara Sava-Segal
Taylor Chamberlain @tchamberlain.bsky.social · 19/08/2026
Sometimes we know an experience is important in the moment. Other times, its importance only becomes clear after the fact. Do these two cases have different consequences for memory? In our new paper we found that both kinds of prioritization impact memory in different ways! doi.org/10.1162/OPMI...
doi.org
Prioritizing Detailed Item Memories Through Post-Encoding Motivation Requires Consolidation
Abstract. Prioritizing memories that are motivationally salient is adaptive for goal-directed behavior, ensuring that information being retained is the most relevant to future goals. Past research dem...
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Wu Tsai Institute | Yale University @wutsaiyale.bsky.social · 10/08/2026
Applications are open for WTI Postdoctoral Fellowships! Calling experimental, computational + theoretical researchers working across disciplines to explore human cognition. Apply: apply.interfolio.com/189775 Learn more: wti.yale.edu/initiatives/postdoctoral #KnowTogether #ScienceAtYale
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Adi Upadhyayula @adibuoy23.bsky.social · 11/08/2026
(1/9) Preprint Alert! 🚨 New work on how the brain comprehends narratives. 🧠🎥 Are "Key Moments" - our recent line of research - truly distinct from "Event Boundaries"? We put them to the test to see if these two constructs differ from each other. doi.org/10.31234/osf...
doi.org
OSF
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Marc Coutanche @marccoutanche.bsky.social · 11/08/2026
🧠🧵 New paper accepted at @jocn.bsky.social! Led by @amyqixx.bsky.social We found that memory traces carry an "echo" of how they were last accessed: the way you retrieve a concept leaves a measurable signature in the brain the next time you recognize it. doi.org/10.1162/JOCN... 1/9
doi.org
Memory Traces Reflect How They Were Last Accessed
Abstract. Episodic memories are known to change with each act of retrieval. We hypothesize that accessing semantic knowledge in different ways during episodic retrieval—from unique perceptual features...
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Reposted by Clara Sava-Segal
Anyi Liu @anyiliu.bsky.social · 29/07/2026
Pyramidal cells in the cortex send a long apical dendrite to layer 1. What is its role? What happens when it's gone? ✂️ A causal spatial role for apical dendrites in the cortex Out today with @kenneth-harris.bsky.social, @carandinilab.net and @fedrossi.bsky.social www.biorxiv.org/content/10.6...
biorxiv.org
A causal spatial role for apical dendrites in the cortex
Cortical pyramidal neurons project a long apical dendrite to layer 1 (L1), to receive synaptic inputs that are thought to provide contextual and possibly suppressive modulation. In visual cortex, thes...
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Reposted by Clara Sava-Segal
Erica Busch @elbusch.bsky.social · 27/07/2026
🧠 New preprint! How does the brain build specialized, efficient representations as we grow up? We used manifold learning to track the "intrinsic dimensionality" (ID) of brain activity in ~800 participants (aged 3mo–53yrs), as they performed naturalistic tasks and rested/slept.
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Rebecca Boehme @rebeccaboehme.bsky.social · 02/07/2026
It's been almost 10 years since we had the idea: TMS to the EBA to improve anorexia patients' body perception. We got the ethics in 2017, collected the data from 2019 to 2024, and now it is finally published in Translational Psychiatry 🎉 ! #neuroskyence #PsychSciSky www.nature.com/articles/s41...
nature.com
Theta burst stimulation of extrastriate body area for body perception in anorexia nervosa: a randomized controlled trial - Translational Psychiatry
Translational Psychiatry - Theta burst stimulation of extrastriate body area for body perception in anorexia nervosa: a randomized controlled trial
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Marc Coutanche @marccoutanche.bsky.social · 01/07/2026
New paper 🧵! There's a lot of interest in how brain regions represent information in fMRI. One popular approach uses searchlights that roam across the brain to decode conditions. We built a method to uncover the sub-networks within searchlight maps.
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Erica Busch @elbusch.bsky.social · 15/06/2026
Excited to be at #ohbm2026 @ohbmofficial.bsky.social presenting our real-time fMRI paper just published in @natneuro.nature.com ! come learn more at my talk on Wed at 9am in the symposium on “Closed-loop fMRI Neurofeedback” in Room E
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Clara Sava-Segal @csavasegal.bsky.social · 11/06/2026
Check out this brilliant set of results from @elbusch.bsky.social !!
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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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Angela Radulescu @angelaradulescu.bsky.social · 01/06/2026
In 2011, my interests in cognitive neuroscience converged on one stubborn intuition: it made no sense that how the brain learns and how it pays attention should be two fundamentally different processes.
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eLife @elife.bsky.social · 30/05/2026
Canonical neurodevelopmental trajectories of structural and functional manifolds elifesciences.org/articles/103...
elifesciences.org
Canonical neurodevelopmental trajectories of structural and functional manifolds
Contrary to prior work, principal axes of structural and functional connectivity are established early in life, remaining stable and undergoing refinement throughout development.
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Reposted by Clara Sava-Segal
Association for Psychological Science @psychscience.bsky.social · 26/05/2026
Meet @esfinn.bsky.social, Assistant Professor of Psychological & Brain Sciences @dartmouthpbs.bsky.social. Finn is a 2026 APS Spence Award recipient whose research focuses on individual variability in brain activity and behavior. www.psychologicalscience.org/publications...
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tal boger @talboger.bsky.social · 26/05/2026
Complexity is ubiquitous in the world around us. But different stimuli are complex for different reasons. Does the mind nevertheless represent a ‘unified’ notion of complexity across domains? In @nathumbehav.nature.com, @chazfirestone.bsky.social & I show the answer is: yes! osf.io/preprints/ps...
Complex and simple stimuli across a variety of domains. Even though these stimuli are complex for different reasons, we suggest the mind unifies them by their complexity. https://osf.io/preprints/psyarxiv/p9xe3_v1
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Hayoung Song @hayoungsong.bsky.social · 22/05/2026
🎊New Lab Alert! I'll be starting at the 🧡University of Texas at Austin🧡 this August! More info to come. thesonglab.github.io I send my deep gratitude to my mentors, Monica @monicarosenb.bsky.social, YC @ycleong.bsky.social, ShiNung @shinung.bsky.social & Zach @zreagh.bsky.social, for everything.
thesonglab.github.io
Song Lab
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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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Zach Ladwig @zachladwig.bsky.social · 19/05/2026
(1/5) Our paper is out now in Neuron! bsky.app/profile/cp-n... The LPFC has fine-scale organization that gets missed in group-averaged data because of inter-individual variability. It is visible in individuals in both resting-state and task data.
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Caterina Gratton @caterinagratton.bsky.social · 18/05/2026
Very excited about this project, led by @zachladwig.bsky.social We show that an individual’s lateral prefrontal cortex has reliable and highly detailed network organization missed in past group approaches. Full🧵 coming soon!
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Jeff Zacks @jzacks.bsky.social · 13/05/2026
New preprint from Ashwin Srinivasan! TL;DR: Giving people control over transitions in a TikTok-like interface improved subsequent memory; predictability of transitions did not. Segmentation and control: Control over transitions differentially impacts within-event memory osf.io/preprints/ps...
osf.io
OSF
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David Clewett @davidclewett.bsky.social · 08/05/2026
Can you make your life feel “longer” in retrospect? Add a dose of change and novelty in the present to later expand memories of your past. Excited to share our work on how dopamine-related processing bends memory to reflect the passage of distinct events. newsroom.ucla.edu/releases/can...
newsroom.ucla.edu
Can dopamine bend time to shape memory?
The brain may use dopamine to expand time between distinct events, enabling us to remember unique episodes.
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Deepu Murty @vpmurty.bsky.social · 01/05/2026
Our first foray into horror movies was recently published. Former grad student David Gregory used them as a means to study temporal memory for threatening events. pubmed.ncbi.nlm.nih.gov/41965942/
pubmed.ncbi.nlm.nih.gov
Arousal and valence differentially shape temporal memory for naturalistic events - PubMed
While emotional arousal and negative valence both alter episodic memory, their contributions to different facets of temporal memory remain unclear. Here, we examined two components of temporal memory ...
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Erica Busch @elbusch.bsky.social · 13/04/2026
New Perspective out in @natmentalhealth.nature.com! We consider why neuroimaging analyses struggles to predict adolescent mental health, discuss approaches for improving prediction, and provide open-source implementations and tutorials: www.nature.com/articles/s44...
nature.com
Revamping neuroimaging analysis to reveal biomarkers of adolescent mental health - Nature Mental Health
Neuroscience research struggles to link neurobiological phenotypes with real-world mental health experiences, especially in youth. Here the authors challenge assumptions in functional neuroimaging stu...
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Carina Heller, Ph.D. @carinaheller.bsky.social · 21/04/2026
🚨Preprint Alert 🧠 Our new preprint „Menarche onset is an inflection point for mental health and brain development“ is now online! 👉 Preprint available here: www.biorxiv.org/content/10.6...
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megan peters 🧠 @meganakpeters.bsky.social · 22/04/2026
🚨🚨JOB ALERT🚨🚨 I'm hiring a cogsci/philosophy/compneuro postdoc at @ucl.ac.uk @uclbrainscience.bsky.social @uclpals.bsky.social! www.jobs.ac.uk/job/DRH486/p... Come to London & work on frameworks for "testing" for consciousness using Bayesian belief updating & latent variable modeling. Pls share!
jobs.ac.uk
Postdoctoral Research Fellow at UCL
Discover Postdoctoral Research Fellow jobs and more in higher education on jobs.ac.uk. Apply for further details on the top job board.
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Yang Teoh @yyangteoh.bsky.social · 14/04/2026
Now out in PNAS with @jaeyoungson.bsky.social, Alice Xia, @apaxon.bsky.social & @orielf.bsky.social. Medial temporal lobe encodes predictive representations of people's real-world social networks which afford them key advantages in social navigation. www.pnas.org/doi/10.1073/... 🧵
pnas.org
Medial temporal lobe encodes cognitive maps of real-world social networks | PNAS
Humans routinely solve social problems by navigating densely interconnected networks&mdash;gossiping strategically, brokering across cliques, and coordin...
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Mariko Bennett @nachoriko.bsky.social · 24/03/2026
I defended my PhD 10 years ago today. That was the least remarkable thing that happened that day. Sharing something I wrote about it last year. Since then "the horrors persist but so do we." And with dignity.
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Karin Roelofs @epanlab.bsky.social · 22/03/2026
Join us for a postdoc @ the Donders Institute; application deadline March 24. www.ru.nl/en/working-a...
ru.nl
Postdoc Position: Affective Neuroscience and Computational Psychiatry at the Donders Centre for Cognitive Neuroimaging | Radboud University
Do you want to work as a Postdoc at the Faculty of Social Sciences? Check our vacancy!
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Clara Sava-Segal @csavasegal.bsky.social · 16/03/2026
So glad to *finally* have this out!! Major thanks to both Clare and Emily
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eLife @elife.bsky.social · 16/03/2026
Movie reconstruction from mouse visual cortex activity
buff.ly
Movie reconstruction from mouse visual cortex activity
Naturalistic movie reconstruction from mouse visual cortex activity achieves high spatial and temporal fidelity.
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Hugo Spiers @hugospiers.bsky.social · 16/03/2026
New lab preprint! Human Navigation Behaviour and Brain Dynamics in Real-world Contexts with co-authors: @pfvelasco.bsky.social and @antoinecoutrot.bsky.social arxiv.org/pdf/2603.11347
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Mark Thornton @markthornton.bsky.social · 11/02/2026
New preprint from Lindsey Tepfer (@ltjaql.bsky.social) and me! We silenced portions of internal monologues in two films to manipulate participants' access to characters' thoughts. Using ISC and RSA, we found that this aligned later neural processing of the narrative & encoding of trait impressions.
Figure 1. Experimental stimuli and paradigm. 1A. Manipulation timeline. Each video features a total of 12 IM moments, half of which were silenced in version 1, and the other half silenced in version 2. This produces two versions of each video where only half of the IMs are audible to the participant. 1B. Voice removal. Background sounds were preserved in both versions, regardless of IM presence. 1C. fMRI paradigm. Participants were randomly assigned a version and watched both videos in a counter-balanced order. 1D. Afterwards, they made trait ratings on each video’s main character in random order before rating them on subsequent traits. Figure 2. Scanner and online participant trait rating results. A. Scanner participants arrive at similar conclusions about characters across versions by the end of each video. B. Trait ratings at the end of the videos are correlated between online and scanner participants. C. The IM manipulation had a significant effect on the trait ratings across the duration of the videos, such that different versions led to different trait impressions. D. Participants who saw different versions changed their ratings for both clip types but changed to a greater degree after seeing the IM segments relative to the NIM.  Figure 3. ISC results. Gaining access to the same mental state knowledge in earlier IM clips led to significantly (p < .05, corrected) more aligned neural activity in subsequent NIM clips across a wide swath of the temporal lobe, as well as the frontal pole and SPL. Figure 4. Representational similarity analysis results. 4A. RSA pipeline.  Clip-specific patterns of brain activity were correlated across movies within segment type (NIM or IM) to create a correlation distance matrix for each participant. Corresponding trait ratings were partitioned into components specific to each of the two versions of each film or shared across both versions. RDMs based on those traits were used to predict the neural RDMs. The resulting coefficients were sorted into matched (version), unmatched (version), and shared across version, and inference was performed via t-tests across participants. See methods section for further details of this analysis. 4B. Prior trait rating results. 1. While watching IM clips of the same version, the prior trait ratings predict activity in the bilateral A1, STS, STG, and right VLPFC. 2. Prior trait rating predicts activity in these regions again in the same-version NIM clips. 3. Across the two versions, while watching the NIM clips, the prior trait ratings predicted activity in the right occipitotemporal cortex. 4C. Trait updating results. 1. While watching NIM clips, the right STS & MTG predict version-matched trait updating. 2. In the unmatched NIM clips, STS & MTG again predict trait updating. 3. Across the two versions, the precuneus and LOC show pattern similarity for trait updating in participants.
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Clara Sava-Segal @csavasegal.bsky.social · 03/02/2026
Major congrats to @peterakirk.bsky.social for getting this out! It's an absolutely great read :)
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Rodrigo Braga @rodbraga.bsky.social · 22/01/2026
My review with @caterinagratton.bsky.social is (apparently) open access for those who couldn't see it before: www.annualreviews.org/content/jour... We discuss individual differences in brain network organization and how to home in on and talk about commonalities in the face of such differences
annualreviews.org
Dense Phenotyping of Human Brain Network Organization Using Precision fMRI
The advent of noninvasive imaging methods like functional magnetic resonance imaging (fMRI) transformed cognitive neuroscience, providing insights into large-scale brain networks and their link to cog...
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Peder Larson @pezlarson.bsky.social · 10/01/2026
For 15(!) years I’ve been teaching introductory #MRI to grad students, and struggled to find a textbook for a wide variety of backgrounds. I'm happy to share an online textbook I created, fully open source (including code for generating figures and plots shown): larsonlab.github.io/MRI-educatio...
larsonlab.github.io
Introduction to Principles of MRI — Principles of MRI
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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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Elizabeth Goldfarb @evgoldfarb.bsky.social · 11/12/2025
How does cortisol tune brain networks to form strong emotional memories? Excited to share new work led by amazing former RA Flory Huang w collabs Rajita Sinha and @toddc.bsky.social #neuroskyence www.science.org/doi/10.1126/...
science.org
Dynamic brain mechanisms supporting salient memories under cortisol
The stress-related hormone cortisol alters dynamic brain networks predicting memory and arousal to promote emotional memories.
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Susan Wardle @susanwardle.bsky.social · 11/12/2025
Now out in #JNeurosci -- we found changes in medial parietal cortex after manual exploration of everyday real-world objects doi.org/10.1523/JNEU... with Beth Rispoli, Vinai Roopchansingh & @cibaker.bsky.social
photo of a human hand holding a tiny gold analog clock, two brain pictures showing fMRI results in medial parietal cortex on the inflated cortical surface (one brain map is thresholded, the other is not)
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PessoaBrain @pessoabrain.bsky.social · 10/12/2025
𝗕𝗿𝗮𝗶𝗻 𝗻𝗲𝘁𝘄𝗼𝗿𝗸𝘀, 𝘄𝗵𝗮𝘁 𝗮𝗿𝗲 𝘁𝗵𝗲𝘆? @lucinauddin.bsky.social explains many of the challenges and controversies! Great discussion too. Check out the latest Neuroscience & Philosophy Salon. youtu.be/pP5swFPR0Ns
youtu.be
Prof. Lucina Uddin from UCLA discusses her views on brain networks as studied with functional MRI
YouTube video by Neuroscience & Philosophy Salon
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Cameron Ellis @camerontellis.bsky.social · 21/11/2025
We are recruiting a lab manager/research assistant to start in early 2026! The successful candidate will conduct awake infant fMRI, meet cute babies, and join a fun team! More details (e.g. responsibilities): soc.stanford.edu/people/#join... Apply here: careersearch.stanford.edu/jobs/social-...
soc.stanford.edu
People – Scaffolding of Cognition Team
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Oded Bein @odedbein.bsky.social · 20/11/2025
A new preprint "Anxiety Modulates Event Segmentation" with @yaelniv.bsky.social and colleagues! osf.io/preprints/ps...
osf.io
OSF
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Yuan Chang Leong @ycleong.bsky.social · 13/10/2025
One of the papers I've been most excited about since starting the lab! We adopt a network neuroscience approach to understand how arousal reconfigures large-scale functional network organization to support memory of complex narratives!
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Sam Nastase @samnastase.bsky.social · 01/10/2025
I'm recruiting PhD students to join my new lab in Fall 2026! The Shared Minds Lab at @usc.edu will combine deep learning and ecological human neuroscience to better understand how we communicate our thoughts from one brain to another.
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Heejung Jung @jungheejung.bsky.social · 04/09/2025
New Open dataset alert: 🧠 Introducing "Spacetop" – a massive multimodal fMRI dataset that bridges naturalistic and experimental neuroscience! N = 101 x 6 hours each = 606 functional iso-hours combining movies, pain, faces, theory-of-mind and other cognitive tasks! 🧵below
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Akash Mishra @akashmishra.bsky.social · 02/08/2025
How does the human brain process the continuous world around us and transform it into distinct memories? Our latest research, recently published in Science Advances @science.org, uncovers how brain waves called high frequency oscillations (HFOs) may support this amazing feat! (1/n)
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