@inproceedings{59d274388d8a451f83c8d8495f1e7d4e,
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.",
keywords = "neuromorphic design, pattern detector, spatiotemporal pattern recognition, spiking neural network",
author = "Robert Ivans and Cantley, \{Kurtis D.\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 62nd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2019 ; Conference date: 04-08-2019 Through 07-08-2019",
year = "2019",
month = aug,
doi = "10.1109/MWSCAS.2019.8884799",
language = "American English",
series = "Midwest Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "444--447",
booktitle = "2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS)",
address = "United States",
}