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Jacob Sellers

@jacobsellers.bsky.social
70 followers 208 following 0 posts

Cog neuro student @ umich - CoCoA lab

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Reposted by Jacob Sellers
Journal of Cognitive Neuroscience (JoCN) @jocn.bsky.social · 26/05/2026
Physiological Evidence for the Time-dependent Resolution of Response Conflicts
direct.mit.edu
Physiological Evidence for the Time-dependent Resolution of Response Conflicts
Abstract. Cognitive control encapsulates the mental processes that support goal-directed behavior and overcome habitual/automatic drives. Traditional RT approaches obscure the temporal dynamics of…
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Reposted by Jacob Sellers
Taraz Lee @tarazlee.bsky.social · 28/05/2026
Super excited by this manuscript led by the amazing @brissend.bsky.social By combining fMRI, TMS, and modeling, we finally have causal evidence that the cerebellum is contributing to brain-wide working memory representations and recall performance! 1/n
Plot showing that the read-out of visual working memory information from cerebellum is degraded following stimulation to cerebellum, IPS, or FEF
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Reposted by Jacob Sellers
Davide Gheza @davideghez.bsky.social · 07/05/2026
New preprint! Last year we showed humans adapt attention in a dimension-specific way when multiple things compete for attention. Now we read out the neural dynamics of this adaptation. doi.org/10.1101/2025.11.16.688701 w/ @mikefreund.bsky.social @theazalabak.bsky.social @wouterkool.bsky.social
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Reposted by Jacob Sellers
Peter Kvam @peterkvam.bsky.social · 11/08/2025
Machine learning / AI approaches can work well for model comparison and fitting, but how do they stack up against likelihood-based methods like hierarchical Bayes / MCMC? link.springer.com/article/10.3... (Generally the same for fitting, but neural networks were better for model comparison!)
link.springer.com
Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice - Behavior Research Methods
Machine learning methods have recently begun to be used for fitting and comparing cognitive models, yet they have mainly focused on methods for dealing with models that lack tractable likelihoods. Eva...
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Reposted by Jacob Sellers
Tobias Egner @tobiasegner.bsky.social · 03/06/2025
New modeling paper, spearheaded by Raphael Geddert and Seth Madlon-Kay, now out in Psychonomic Bulletin & Review: "Modeling of control over task switching and cross-task interference supports a two-dimensional model of cognitive stability and flexibility". Free read link: rdcu.be/epatc
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Reposted by Jacob Sellers
Yue Du @yuedu.bsky.social · 03/06/2025
Very excited to share our new paper with @adrianhaith.bsky.social, now published in @nathumbehav.nature.com.
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Reposted by Jacob Sellers
Taraz Lee @tarazlee.bsky.social · 28/03/2025
At #CNS2025? Come by our posters from the Cognition, Control, and Action Lab! SAT 3-5pm A126 Modeling the temporal dynamics of cognitive control A149 Cognition-Action links in Parkinson disease (TMS-fMRI) SUN 8-10am B30 Causal role of the cerebellum in spatial working memory (TMS-fMRI)
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Reposted by Jacob Sellers
Han Zhang @hanzhang.bsky.social · 11/03/2025
🚨 Announcing PupEyes, a Python library for pupil size and eye movement data analysis! github.com/HanZhang-psy... Highlights: *Pupil preprocessing pipeline based on best practices* *Interactive data viz tools* *Integration with pandas ecosystem. 🧵 (1/8)
github.com
GitHub - HanZhang-psych/pupeyes: PupEyes: Your Buddy for Pupil Size and Eye Movement Data Analysis
PupEyes: Your Buddy for Pupil Size and Eye Movement Data Analysis - HanZhang-psych/pupeyes
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