Joint timescale neural embeddings capture multi-timescale behavioral dynamics
Alexander Ladd, Anna Bowen, Nicholas A Steinmetz · COSYNE 2025
The simple decision to seek and consume food requires integrating slowly changing information about internal state with rapid sensory processes indicating food availability. Whether fast and slow components unite in a single integrating location [2] or whether they are also integrated in a more distributed fashion remains unknown. Can neural population dynamics simultaneously encode multiple timescales? Could modeling such temporal multiplexing help us understand how the brain integrates temporal information to guide appetitive behavior? To examine these questions, we recorded neural populati
ePoster · Neuroscience