Sign in

Thomas Akam

@thomasakam.bsky.social
142 followers 130 following 7 posts

Neuroscientist interested in planning and flexible behaviour | Open-source tool developer

PostsRepliesMedia
Thomas Akam @thomasakam.bsky.social · 15/06/2026
First author Luke just joined Bluesky, you can find him @lpriestley.bsky.social
020
Thomas Akam @thomasakam.bsky.social · 15/06/2026
The work was inspired by a 2020 preprint from Akash Guru and @mrwarden.bsky.social, who were I think the first people to link dopamine ramps to cognitive maps. www.biorxiv.org/content/10.1...
130
Thomas Akam @thomasakam.bsky.social · 15/06/2026
The ramps are reward prediction errors, but the error is between what the world-model knows about future reward, and values already stored in striatum. The model explains diverse experimental data, and has implications for the nature of model-based evaluation and its interaction with TD learning.
161
Thomas Akam @thomasakam.bsky.social · 15/06/2026
Why does dopamine ramp up during approach to predictable rewards? In this preprint with Luke Priestley, we explore the idea that dopamine ramps occur when reward predictions inferred using a world-model are used to train striatal cached values.
biorxiv.org
Dopamine ramps as a normative consequence of dual-process control
Midbrain dopamine neurons are thought to implement a temporal difference (TD) reward prediction error (RPE) that updates cached values stored in striatum. This has been challenged by evidence that dop...
15219
Thomas Akam @thomasakam.bsky.social · 11/06/2026
Michael's preprint outlines the rationale for developing the task, introduces methods for optimising the maze environments to discriminate navigation strategies, and for quantifying the strategies used, and demonstrates flexible route planning and very rapid learning of environment structure.
031
Thomas Akam @thomasakam.bsky.social · 11/06/2026
This project builds on work establishing the behaviour done at Champalimaud in Lisbon with @michaelfsp.bsky.social, Beatriz Godinho, Christian Machens, and @ruimcosta.bsky.social : www.biorxiv.org/content/10.6...
biorxiv.org
Flexible route planning and rapid structure learning by mice in complex environments
Action selection using predictive models of the environment plays a fundamental role in human and animal behaviour, yet is poorly understood at circuit and algorithmic levels. Spatial navigation is an...
1268
Thomas Akam @thomasakam.bsky.social · 11/06/2026
Really happy to have this out. @peterdoohan.bsky.social did a fantastic job making sense of these rich and complex data and I think we learned some interesting new things about how frontal cortex contributes to flexible goal-directed behaviour.
040
Reposted by Thomas Akam
peterdoohan.bsky.social @peterdoohan.bsky.social · 11/06/2026
How do brains plan actions towards goals? To get at this question we studied mice navigating complex mazes as goals changed on every trial 🧵 Work with @thomasakam.bsky.social @behrenstimb.bsky.social @kristorpjensen.bsky.social now on BioRxiv: www.biorxiv.org/content/10.6...
411846