Posted Aug 21 2017
"Neural Learning Rules in the Cerbebellum"
Supported by the John A. '72 and Raluca V. Allison Fund for Discourse in Neuroscience
Thursday, October 26, 2017 - 4:00pm
A32 Princeton Neuroscience Institute
Neuroscience Seminar Series
The research in my lab investigates the algorithms neural circuits use to learn. These algorithms are defined by the rules governing the local “decisions” each synapse in a circuit makes on a moment-by-moment basis about whether to alter its strength, based on its pattern of input. I will describe recent progress we have made in understanding synaptic learning rules in the cerebellum. Neuroscientists have generally viewed learning as being implemented by a few, generic synaptic plasticity rules, with the specialization for specific behavioral tasks arising from the circuit architecture. In contrast, we recently discovered that the synaptic plasticity rules themselves can be precisely tuned to functional requirements.