David DiGregorio; Centre National de la Recherche Scientifique (CNRS)

Head of the Unit of Dynamic Neuronal Imaging
Department of Neuroscience
Centre National de la Recherche Scientifique (CNRS)
Institut Pasteur

Lab website

Title: 
“Influence of Dynamic Synapses on Cerebellar Cortical Circuit Computations”
Date/Time: 
Friday, November 17, 2017 - 11:00am
Location: 
Room 230 PNI
Hosted by: 
Sam Wang
Department: 
Princeton Neuroscience Institute
Category: 
Neuroscience Seminar Series
Summary: 
The efficiency, precision and plasticity of communication at synapses is diverse throughout the brain, yet fundamental to processing and directing information that underlies behavior. In my laboratory we are in search of the fundamental biological rules by which the diversity of synaptic function contributes to the neural representation of the external and internal sensory world. Multi-sensory integration within single neurons is thought to ensure reliable detection of external events. The cerebellar cortex is responsible for integrating multiple sensory modalities in order to encode complex sensory features such as: unexpected motion, linear acceleration, and predictive errors of motor movements. Nevertheless, surprisingly little is known about how the cerebellar cortex builds upon its well-known synaptic and cellular properties in order to dynamically integrate and process sensory information. I will review our recent evidence of how synaptic diversity contributes to the temporal coding of multisensory information in the cerebellar cortex. I will also describe our theoretical approaches to understanding how synaptic diversity might contribute to circuit computations. Simplified circuit models predict that the diversity of short-term plasticity is a cellular substrate underlying the temporal diversity of neuronal spiking patterns, and thus generates the basis functions thought to be necessary for temporal learning in the cerebellar cortex.

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