Activity exploration influences learning speeds in models of brain-computer interfaces
Stefan Mihalas, Matthew Bull, Jacob Sacks, Marton Rozsa, Christina Wang, Karel Svoboda, Matthew Golub, Kyle Aitken, Kayvon Daie · COSYNE 2025
The process of learning requires the brain to generate new activity patterns, yet it has been known for some time that the learning speed of certain behaviors can vary significantly. Brain computer interfaces (BCIs) offer a promising setup to study learning since they allow one to concretely link changes in activity to task performance. Using a BCI-driven center-out task, Sadtler et. al. (2014) showed that the speed of learning new activity patterns can differ significantly depending on their relation to Rhesus macaque’s intrinsic neural activity. A mapping between how individual synapses adju
ePoster · Neuroscience