annecollins.bsky.social

Rutgers-Princeton Center for Computational Cognitive Neuropsychiatry Visit the post for more.

The Rutgers-Princeton Center for Computational Cognitive NeuroPsychiatry (ccnp.princeton.edu) is looking for a new clinical research coordinator! This is a long-term (at least 2 years, more is preferred) position for someone with a BA or MA who is interested in... /1

Come join us at BAMB! to learn all about modelling behavior and what Barcelona’s beaches have to offer 🏐🏄‍♂️🏊‍♂️

Applications for 2026 are open here: www.bambschool.org

I am looking to hire 2-3 post-docs over the course of the next few months to work on questions related to cognitive control in humans, broadly construed. EEG, TMS, DBS, sEEG, fMRI or related methodological experience preferred.
Apply here:

jobs.uiowa.edu/jobSearch/po...

Lab website: wessellab.org

Big goals can feel overwhelming. Here’s how to stay on track Aiming for something big? Break that big goal into smaller, manageable steps. Then narrow your focus. This will keep your eyes on the prize.

What makes new goals difficult to reach? As I discussed with @alisonpstevens.bsky.social for @sciencenews.bsky.social,
the issue might be holding precise but costly memories of the target. As we internalize rules for what success looks like, goals become more attainable. @annecollins.bsky.social

If you work at the intersection of computational neuroscience and machine learning, consider applying for this postdoc position (January 2027 start date):
academicpositions.harvard.edu/postings/15868
An opportunity to work with a great group of people across Harvard, MIT, and UC Berkeley.

Breaking the Tug-of-War: What Neuroeconomics Can Gain by Moving Past Competition-Only Models Popular models of decision-making characterize choice dynamics as a tug-of-war process, where evidence for competing options accumulates until a threshold is reached. While these models capture severa...

Excited to share our chapter "Breaking the Tug-of-War: What Neuroeconomics Can Gain by Moving Past Competition-Only Models" with Yi-Hsin Su, Romy Frömer, and @ashenhav.bsky.social, now out in the new volume, "Neuroeconomics: Core Topics and Current Directions"!
doi.org/10.1007/978-3-032-02925-6_10

If you know anyone that has made a similar experience and is willing to talk on the record to a reporter about this, please get in touch. Thanks :)

🌟 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...

🚨 #CCN2026 Proceedings submissions are open!
CCN 2026 again features an 8-page Proceedings track (alongside extended abstracts). Accepted papers will appear in CCN-Proceedings (CCN‑P) with DOIs on OpenReview.

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

A few days left to apply to join my lab as a PhD student! We study how people explore, how new ideas form, and how thinking develops. Learn more at liquinlab.github.io. Application review begins 1/15.
#PsychSciSky #CogPsyc #CogSci #DevPsyc

Antidepressant treatment shouldn't be a guessing game. RELMED is working towards using advanced research to predict which medication is most likely to help each person along their individual path to recovery.

Postdoctoral research position in #ComputationalPsychiatry and #EEG as part of relmed.ac.uk trial testing reinforcement learning as biomarker for antidepressant treatment response. www.ucl.ac.uk/work-at-ucl/... @uclbrainscience.bsky.social @mikebrowning.bsky.social @relmed.bsky.social

We are hiring an assistant professor in cognitive neural systems in the department of psychology at the university of arizona. please use this link to check out the requirements and apply!

arizona.csod.com/ux/ats/caree...

We are excited to announce that the Cognitive Computational Neuroscience meeting (CCN 2026) will be held at New York University from August 3–6, 2026.
2026.ccneuro.org

🚨Job Alert plz RT!

Johns Hopkins Psych & Brain Sciences is looking for a new colleague using behavioral or computational approaches to study cognition!

We are excited about many areas of (esp higher) cognition in human adults, children, or nonhuman animals

Open-rank

apply.interfolio.com/178146

Action repetition biases choice in context-dependent decision-making - Communications Psychology This study shows that decision biases previously attributed to value normalization (e.g. relative value learning or range normalization) are better explained by action repetition. Repeating an action ...

Very happy that this is out www.nature.com/articles/s44.... Together with @stefankiebel.bsky.social we show that decision biases in context-dependent decision making, previously attributed to different forms of value normalization, are very well explained by habit-like action repetition.

Enjoying a great visit at #ACNS2025! Thank you for inviting me!

In Melbourne for Australasian Cognitive Neuroscience Society meeting! Very happy to visit again after 30 years! @acnsau.bsky.social

But of course there's a huge RL literature too, and I'm eager to figure out the boundary conditions for RL vs. habits.

in addition to Miller et al 2019, there's been Greenstreet et al 2025 (Nature), Wagner et al (2024 preprint), and in some interpretation Eckstein et al (2024 preprint), ending up on very similar theories.

Important question, and I'm not sure yet. We're currently trying to show evidence of both at the same time, and it's a challenge.
It's been interesting seeing the habit idea coming out in many recent papers from different angles.

Yes, I'm interested in figuring out the discrepancy. I do have unpublished test phase data where the WM+habit does capture the test phase better than WM+RL. Agree it's important to figure out what's different, and under what circumstances RL is needed. Working on it!

Thanks Chris. I haven't gone back to the data you're referring to, but I have gone back to the individual differences data (clinical and developmental), and most conclusions are unchanged - happy to follow up by email if you're interested!

A habit and working memory model as an alternative account of human reward-based learning Nature Human Behaviour - In this study, Collins proposes an alternative dual-process (working memory and habit) model of reinforcement learning in humans.

My paper is out!
Computational modeling of error patterns during reward-based learning show evidence that habit learning (value free!) supplements working memory in 7 human data sets.
rdcu.be/eQjLN

Next week, I'll be presenting my work with @annecollins.bsky.social @collinsccnlab.bsky.social on reward function compression in human RL at @sfn.org. Join me at the "Adaptive Choice" nanosymposium on Nov 16th or dm me if you'd like to meet up!

Current vacancies

New #neurojob #psychiatryjob #jobalert. www.northlondonmentalhealth.nhs.uk/current-vaca.... Focus is on clinical trials for mood disorders, with close links to @uclpsychiatry.bsky.social @uclqsion.bsky.social and @mpc-comppsych.bsky.social

Job Alert! 🚨

We are seeking a clinical coordinator for the Rutgers-Princeton Center for Computational Cognitive Neuroscience. >>

Screenshot with text: The Computational Mechanisms of Psychopathology Lab (COMPLab; PI: Vanessa Brown, PhD) is recruiting for a postdoctoral fellow to join the lab. Research in the lab uses behavioral tasks (administered in-lab and remotely), functional and structural imaging, computational modeling, and mechanistic interventions (brief psychotherapy, neuromodulation) to investigate learning alterations in anxiety and related disorders. In particular, this position will support research funded by a new NIH R01 using predictive and generative modeling of threat imminence to understand and manipulate avoidance in anxiety. This position is ideal for someone with a background in some combination of behavior/learning theory approaches to anxiety, computational modeling of behavior, and fMRI analysis; and who wishes to gain or deepen expertise in these areas. The postdoctoral fellow will be expected to design experiments, analyze data, present and publish findings, apply for external funding, and assist with training other lab members and with lab management. Dr. Brown and the COMP Lab are strongly committed to mentorship, and support will be provided to assist the postdoctoral fellow to prepare for an independent research career.

I am recruiting a postdoc for a new NIMH-funded R01 using neural and behavioral models to understand anxious avoidance. Please share with anyone who may be interested!

Link: faculty-emory.icims.com/jobs/155929/...

thrilled!! but speaking after @monicarosenb.bsky.social ??? that's too tough to follow

I am recruiting a postdoc at UC Santa Barbara for an NIH-funded project on the organization of lateral PFC function--across emotion and cognition--using representational fMRI & TMS. I’d love to find someone w/ a background in cognitive control & computational modeling to complement our team! 🏝️ 🧠 🧲