Chaotic Liquid State Machine

Mario Antoine Aoun and Mounir Boukadoum
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Mario Antoine Aoun: Computer Science Department, Faculty of Science, Université du Québec à Montréal, UQAM, Montréal, Canada
Mounir Boukadoum: Computer Science Department, Faculty of Science, Université du Québec à Montréal, UQAM, Montréal, Canada

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI), 2015, vol. 9, issue 4, 1-20

Abstract: The authors implement a Liquid State Machine composed from a pool of chaotic spiking neurons. Furthermore, a synaptic plasticity mechanism operates on the connection weights between the neurons inside the pool. A special feature of the system's classification capability is that it can learn the class of a set of time varying inputs when trained from positive examples only, thus, it is a one class classifier. To demonstrate the applicability of this novel neurocomputing architecture, the authors apply it for Online Signature Verification.

Date: 2015
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