An associative memory readout in ESN for neural action potential detection

Nicolas J. Dedual, Mustafa C. Ozturk, Justin C. Sanchez, José C. Principe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper describes how Echo State Networks (ESN) can be used in conjunction with Minimum Average Correlation Energy (MACE) filters in order to create a system that can identify spikes in neural recordings. Various experiments using real-world data were used to compare the performance of the ESN-MACE against threshold and matched filter detectors to ascertain the capabilities of such a system in detecting neural action potentials. The experiments demonstrate that the ESN-MACE can correctly detect spikes with lower false alarm rates than established detection techniques since it captures the inherent variability and the covariance information in spike shapes by training.

Original languageEnglish (US)
Title of host publicationThe 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Pages2295-2299
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event2007 International Joint Conference on Neural Networks, IJCNN 2007 - Orlando, FL, United States
Duration: Aug 12 2007Aug 17 2007

Publication series

NameIEEE International Conference on Neural Networks - Conference Proceedings
ISSN (Print)1098-7576

Other

Other2007 International Joint Conference on Neural Networks, IJCNN 2007
CountryUnited States
CityOrlando, FL
Period8/12/078/17/07

ASJC Scopus subject areas

  • Software

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  • Cite this

    Dedual, N. J., Ozturk, M. C., Sanchez, J. C., & Principe, J. C. (2007). An associative memory readout in ESN for neural action potential detection. In The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings (pp. 2295-2299). [4371316] (IEEE International Conference on Neural Networks - Conference Proceedings). https://doi.org/10.1109/IJCNN.2007.4371316