This makes some fun experimental predictions ... 👀📈
@lpriestley.bsky.social
This is one of the coolest things I have been involved with. Truly flexible navigation in mice. Real insight into how mPFC computes the plans. Great fun to see what PFC is doing with those hippocampal theta sweeps. From the awesome @peterdoohan.bsky.social and (now on bsky) @thomasakam.bsky.social
It has been super fun to work on this, where we learned that:
1) Mouse PFC is needed for model-based override of habits.
2) Separate PFC populations encode a 'policy' and the current 'value'.
3) The policy and value codes alternate theta sweeps towards the goal.
...and much much more!
This paper is so cool that it’s finally convinced @thomasakam.bsky.social to join Bluesky
Good scientist, terrible designer? We feel you. Inspired by MetBrewer, the palette chooser for the connoisseurs, @sandra-neuro.bsky.social and I present EraBrewer: great looking colours for us Swifties!
github.com/mathias-sm/E...
cran.r-project.org/web/packages...
Tim Behrens
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...
Kris Jensen
Mathias Sablé-Meyer
Mohamady El-Gaby
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...
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...
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...
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.
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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...
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...
