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The Essential Role of Phase Delayed Inhibition in Decoding Synchronized Oscillations within the Brain, 1/10/14, NH 454 @ 3:15PM
Author: Fariborz Maseeh Department of Mathematics & Statistics
Posted: January 8, 2014

The Maseeh Mathematics and Statistics Colloquium Series*
presents

Mainak Patel, Ph.D.
Duke University
Department of Mathematics

The Essential Role of Phase Delayed Inhibition in Decoding Synchronized Oscillations within the Brain

Abstract:
The widespread presence of synchronized neuronal oscillations within the brain suggests that a mechanism must exist that is capable of decoding such activity.  Two realistic designs for such a decoder include: 1) a read-out neuron with a high spike threshold, or 2) a phase-delayed inhibition network motif. Despite requiring a more elaborate network architecture, phase-delayed inhibition has been observed in multiple systems, suggesting that it may provide inherent advantages over simply imposing a high spike threshold. We use a computational and mathematical approach to investigate the efficacy of the phase-delayed inhibition motif in detecting synchronized oscillations.  We show that phase-delayed inhibition is capable of creating a synchrony detector with sharp synchrony filtering properties that depend critically on the time course of inputs. Additionally, we show that phase-delayed inhibition creates a synchrony filter that detects synchrony far more robustly than that created by a high spike threshold. A high spike threshold detects a minimum number of synchronous input spikes (absolute synchrony), while phase-delayed inhibition requires a fixed fraction of incoming spikes to be synchronous (relative synchrony).  Furthermore, we show that, in a system with noisy encoders where stimuli are encoded through synchrony, phase-delayed inhibition enables the creation of a decoder that can respond both reliably and specifically to a stimulus, while a high spike threshold does not.

Friday, January 10th, 2014 at 3:15 p.m.
Neuberger Hall room 454
(Refreshments served at 3:00 in presentation room)

* Sponsored by the Maseeh Mathematics and Statistics Colloquium Series Fund and the Fariborz Maseeh Department of Mathematics & Statistics, PSU. This event is free and open to the public.