Jacob Sellers
@jacobsellers.bsky.social
Cog neuro student @ umich - CoCoA lab
Reposted by Jacob Sellers
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/article/10.3...
(Generally the same for fitting, but neural networks were better for model comparison!)
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...
link.springer.com
August 11, 2025 at 7:35 PM
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/article/10.3...
(Generally the same for fitting, but neural networks were better for model comparison!)
Reposted by Jacob Sellers
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
Free read link: rdcu.be/epatc
June 3, 2025 at 2:51 PM
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
Free read link: rdcu.be/epatc
Reposted by Jacob Sellers
Very excited to share our new paper with @adrianhaith.bsky.social, now published in @nathumbehav.nature.com.
In this article, @yuedu.bsky.social and @adrianhaith.bsky.social show that behavior can become habitual in two different ways, involving response initiation and response preparation, respectively
www.nature.com/articles/s41...
www.nature.com/articles/s41...
Dissociable habits of response preparation versus response initiation - Nature Human Behaviour
Du and Haith show that behaviour can become habitual in two different ways, involving response initiation and response preparation.
www.nature.com
June 3, 2025 at 10:33 PM
Very excited to share our new paper with @adrianhaith.bsky.social, now published in @nathumbehav.nature.com.
Reposted by Jacob Sellers
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)
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)
March 28, 2025 at 10:00 PM
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)
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)
Reposted by Jacob Sellers
🚨 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 - 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
github.com
March 11, 2025 at 5:35 PM
🚨 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)