Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/46821
Title: Error-backpropagation in temporally encoded network of spiking neurons
Authors: Vivek Shankar Gunasekaran
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2010
Abstract: This dissertation attempts to analyze the obstacle in training the spike propagation networks. The obstacle is nothing but surge, which is caused by nature of spike propagation network. The surges are steep rises of error. Networks of spiking neurons, with action potentials, can perform non linear classification with temporal coding. This is a kind of supervised learning algorithm which trains the network of spiking neurons. The neurons in this algorithm generate action potentials or spikes, when the state variable of neuron crosses the threshold value.
Description: 47 p.
URI: http://hdl.handle.net/10356/46821
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
EEE_THESES_165.pdf
  Restricted Access
4.51 MBAdobe PDFView/Open

Page view(s) 50

239
Updated on Nov 25, 2020

Download(s) 50

7
Updated on Nov 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.