Title: From dynamics to computations in recurrent networks.
Affiliation: Ecole Normale Superieure, France.
Abstract:
Recurrent networks of excitatory and inhibitory neurons form the basic computational units in the cortex. Theoretical works have shown that randomly-connected networks naturally generate irregular activity which resembles spontaneous cortical activity. How recurrent networks implement complex, behaviorally relevant computations remains however an outstanding open issue.
Title: From dynamics to computations in recurrent networks.
Affiliation: Ecole Normale Superieure, France.
Abstract:
Recurrent networks of excitatory and inhibitory neurons form the basic computational units in the cortex. Theoretical works have shown that randomly-connected networks naturally generate irregular activity which resembles spontaneous cortical activity. How recurrent networks implement complex, behaviorally relevant computations remains however an outstanding open issue.