Kris Jensen

@kristorpjensen.bsky.social

Computational neuroscientist || Postdoc with Tim Behrens || Sainsbury Wellcome Centre @ UCL

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!

@peterdoohan.bsky.social · 4mo ago

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...

Great paper by @jonathannicholas.bsky.social and @marcelomattar.bsky.social ! A related discussion we had in our lab recently is whether there exists convincing evidence that mice use episodic memory - refs are welcome if anyone knows relevant work!

Jonathan Nicholas@jonathannicholas.bsky.social · 2y ago

Why do we remember so many details of our experiences even when it is unclear if we will actually ever need them? In a new preprint, @marcelomattar.bsky.social and I asked whether this property is adaptive, because what will be relevant in the future often (usually?!) isn’t apparent.

I wrote an introduction to RL for neuroscience last year that was just published in NBDT: tinyurl.com/5f58zdy3 This review aims to provide some intuition for and derivations of RL methods commonly used in systems neuroscience, ranging from TD learning through the SR to deep and distributional RL!

An introduction to reinforcement learning for neuroscience | Published in Neurons, Behavior, Data analysis, and Theory

By Kristopher T. Jensen. Reinforcement learning for neuroscientists

tinyurl.com