Information Processing in Hippocampal Interneuron Synapses

Document Type

Presentation Abstract

Presentation Date

4-30-2018

Abstract

Understanding of the brain as an extremely sophisticated information processing system has gained tremendous momentum in the past few decades and it continues to advance.

Information theory proposed by Shannon in 1948 provides primary tools to uncover how the central nervous system (CNS) acquires, transforms, stores, and uses information to control the body in a complex environment. In this talk I will provide a brief overview of the basics of information theoretic functionals and describe how these concepts are applied to estimate the information transfer in both deterministic and stochastic models of hippocampal synapses. The Stochastic model can be used to simulate the main sources of variability in synaptic transmission. In addition, we assume that a synapse serves as a dynamic memory buffer that can store and transfer information. However, it is clear that it cannot carry infinite amount of information about the temporal activity of presynaptic neuron. We address the question of how much further back in time a synapse can store and transmit information; in other words what is the capacity of a particular synapse in the transmission information.

Additional Details

Link to the presenter's dissertation.

Monday, April 30, 2018 at 3:00 p.m. in Math 103
Refreshments at 4:00 p.m. in Math Lounge 109

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