Sandra Romero Pinto

The paper shows that OFC population activity in mice exhibits task-specific attractor-like dynamics during belief-state inference, mirroring Value-RNN dynamics.

This study links tonic dopamine levels to biased value learning through a reinforcement learning model incorporating dopamine receptor dynamics, showing its relevance to psychiatric disorders.

Repix enables reliable, reusable, and versatile chronic Neuropixels recordings in unrestrained animals over months, with minimal user training and high stability.

This paper shows that recurrent neural networks can estimate value directly from observations without explicitly forming beliefs, generating reward prediction errors similar to experimental observations.

This study investigates how task load affects performance using EEG, GSR, and eye-tracking data, finding that EEG and GSR best predict task performance.

The paper uses imaging techniques to map sound frequency organization in mouse auditory cortex fields, identifying new areas and clarifying tonotopic organization.