Chaotic Liquid State Machine

Mario Antoine Aoun and Mounir Boukadoum
Additional contact information
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
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJCINI.2015100101 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jcini0:v:9:y:2015:i:4:p:1-20

Access Statistics for this article

International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) is currently edited by Kangshun Li

More articles in International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) from IGI Global
Bibliographic data for series maintained by Journal Editor ().