Three-factor gradient-ascent approximation explains local-circuit plasticity during BCI learning
Kyle Aitken, Marton Rozsa, Matthew Bull, Christina Wang, Peter Humphreys, Maria Eckstein, Kimberly Stachenfeld, Zeb Kurth-Nelson, Lucas Kinsey, Mohit Kulkarni, Matt Botvinick, Claudia Clopath, Timothy Lillicrap, Matthew Golub, Karel Svoboda, Stefan Mihalas, Kayvon Daie · COSYNE 2025
The acquisition of novel motor skills requires new patterns of neural activity and changes in synaptic weights, yet the precise rules governing synaptic plasticity in the motor cortex and how they give rise to the observed changes in activity are still unknown. Brain computer interfaces (BCIs) allow for task improvement to be directly linked to changes in neural activity. Recent experiments that pair BCIs with all-optical circuit mapping allow for the simultaneous tracking of in vivo changes in connectivity while task-relevant activity learning occurs. In silico models of learning allow for th
ePoster · Neuroscience