A Spatiotemporal Pattern Detector

Robert Ivans; Kurtis D. Cantley

A Spatiotemporal Pattern Detector

Robert Ivans, Kurtis D. Cantley

Electrical Engineering Department

Boise State University

Research output: Contribution to conference › Presentation

Abstract

A spatiotemporal pattern detector design is presented which can identify three fundamental spatiotemporal patterns consisting of two spikes (from different neurons or from the same neuron). These fundamental cases provide the building blocks for construction of more complicated arbitrary spatiotemporal patterns. The overall design consists of three primary subcircuits, and the operation of each is described. The detection of the three cases of spatiotemporal patterns, and the detection of a more complicated pattern by a network of Spatiotemporal Pattern Detectors, is then demonstrated through simulation using the Cadence Virtuoso platform.

Original language	American English
State	Published - 1 Jan 2019
Event	2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS) - Duration: 1 Jan 2019 → …

Conference

Conference	2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)
Period	1/01/19 → …

Keywords

neuromorphic design
pattern detector
spatiotemporal pattern recognition
spiking neural network

EGS Disciplines

Electrical and Computer Engineering

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A Spatiotemporal Pattern DetectorFinal published version, 2 MBLicense: Unspecified

Cite this

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title = "A Spatiotemporal Pattern Detector",

abstract = " A spatiotemporal pattern detector design is presented which can identify three fundamental spatiotemporal patterns consisting of two spikes (from different neurons or from the same neuron). These fundamental cases provide the building blocks for construction of more complicated arbitrary spatiotemporal patterns. The overall design consists of three primary subcircuits, and the operation of each is described. The detection of the three cases of spatiotemporal patterns, and the detection of a more complicated pattern by a network of Spatiotemporal Pattern Detectors, is then demonstrated through simulation using the Cadence Virtuoso platform.",

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AU - Ivans, Robert

AU - Cantley, Kurtis D.

PY - 2019/1/1

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N2 - A spatiotemporal pattern detector design is presented which can identify three fundamental spatiotemporal patterns consisting of two spikes (from different neurons or from the same neuron). These fundamental cases provide the building blocks for construction of more complicated arbitrary spatiotemporal patterns. The overall design consists of three primary subcircuits, and the operation of each is described. The detection of the three cases of spatiotemporal patterns, and the detection of a more complicated pattern by a network of Spatiotemporal Pattern Detectors, is then demonstrated through simulation using the Cadence Virtuoso platform.

AB - A spatiotemporal pattern detector design is presented which can identify three fundamental spatiotemporal patterns consisting of two spikes (from different neurons or from the same neuron). These fundamental cases provide the building blocks for construction of more complicated arbitrary spatiotemporal patterns. The overall design consists of three primary subcircuits, and the operation of each is described. The detection of the three cases of spatiotemporal patterns, and the detection of a more complicated pattern by a network of Spatiotemporal Pattern Detectors, is then demonstrated through simulation using the Cadence Virtuoso platform.

KW - neuromorphic design

KW - pattern detector

KW - spatiotemporal pattern recognition

KW - spiking neural network

UR - https://scholarworks.boisestate.edu/electrical_facpubs/441

M3 - Presentation

T2 - 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)

Y2 - 1 January 2019

ER -

A Spatiotemporal Pattern Detector

Abstract

Conference

Keywords

EGS Disciplines

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