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Statistical modelling of artificial neural network for sorting temporally synchronous spikes

conference contribution
posted on 2015-01-01, 00:00 authored by Rakesh Veerabhadrappa, Asim BhattiAsim Bhatti, Chee Peng LimChee Peng Lim, Thanh Thi NguyenThanh Thi Nguyen, S J Tye, P Monaghan, Saeid NahavandiSaeid Nahavandi
Artificial neural network (ANN) models are able to predict future events based on current data. The usefulness of an ANN lies in the capacity of the model to learn and adjust the weights following previous errors during training. In this study, we carefully analyse the existing methods in neuronal spike sorting algorithms. The current methods use clustering as a basis to establish the ground truths, which requires tedious procedures pertaining to feature selection and evaluation of the selected features. Even so, the accuracy of clusters is still questionable. Here, we develop an ANN model to specially address the present drawbacks and major challenges in neuronal spike sorting. New enhancements are introduced into the conventional backpropagation ANN for determining the network weights, input nodes, target node, and error calculation. Coiflet modelling of noise is employed to enhance the spike shape features and overshadow noise. The ANN is used in conjunction with a special spiking event detection technique to prioritize the targets. The proposed enhancements are able to bolster the training concept, and on the whole, contributing to sorting neuronal spikes with close approximations.

History

Event

Neural Information Processing. Conference (22nd : 2015 : Istanbul, Turkey)

Volume

9491

Series

Neural Information Processing

Pagination

261 - 272

Publisher

Springer

Location

Istanbul, Turkey

Place of publication

New York, N.Y.

Start date

2015-11-09

End date

2015-11-12

ISSN

0302-9743

eISSN

1611-3349

ISBN-13

9783319265544

Language

eng

Publication classification

E Conference publication; E1 Full written paper - refereed

Copyright notice

2015, IEEE

Title of proceedings

22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings Part III