Mattias Horan

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

This paper introduces a Reinforcement Meta-Learning framework to model information gathering trade-offs and shows it aligns with neural and behavioral findings on information demand.

The paper shows that uncertainty resolution enhances visuo-spatial responses in monkey lateral intraparietal area during non-instrumental information demand.