2019 Graduate Student Showcase
 

Title of Submission

Spatiotemporal Pattern Detection

Degree Program

Electrical and Computer Engineering, PhD

Major Advisor Name

Kurtis Cantley

Type of Submission

Scholarly Poster

Judging Session

Both Judging Sessions

Abstract

A particular kind of spatiotemporal pattern is made up of simple digital spikes which occur in time from multiple neurons. One way to detect these patterns is by training a spiking neural network. However, the exact mechanisms through which spatiotemporal pattern detection behavior arises from the equations of spiking neural networks is not well understood. The goal of this research is to gain insight into this process and, ultimately, derive answers to some fundamental questions concerning spiking neural networks.

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