Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model Nature Communications - Accurate future predictions are essential for guiding behavior, and disruptions in this process are associated with psychiatric disorders. Here the authors show that changes...

My first paper with @naoshigeuchida.bsky.social is finally out in @natcomms.nature.com ! rdcu.be/eACGf

TL;DR: asymmetric learning rates can be induced by shifts in tonic dopamine giving rise to pessimistic/optimistic biases in agents or animals undergoing reinforcement learning .

Thank you for the nice article, @thetransmitter.bsky.social 🐦☺️

I'm beyond grateful for the supportive, fun, and rigorous environment that Dmitriy has created at Columbia. It made this work possible. I couldn't imagine a better last (?) chapter to my postdoc!

My latest Aronov lab paper is now published @Nature!

When a chickadee looks at a distant location, the same place cells activate as if it were actually there 👁️

The hippocampus encodes where the bird is looking, AND what it expects to see next -- enabling spatial reasoning from afar

bit.ly/3HvWSum

Really enjoyed reading this, Tom! I'm hoping that continued increases in recording yields (working on this now) make it easier to scan for single trial activations at unknown times in future experiments—totally agree it'd be exciting to look for this directly