Evolving spiking neural networks for pattern classification problems

This thesis focuses on the development of new batch/online learning algorithms for evolving spiking neural networks that can be used for pattern classification problems. The input and output signals of spiking neurons consist of discrete events (spikes) in time. The inherent discontinuous nature of...

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Bibliographic Details
Main Author: Shirin Dora
Other Authors: Sundaram Suresh
Format: Theses and Dissertations
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/69608
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Institution: Nanyang Technological University
Language: English

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