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Improving Neural Spike Sorting Performance Using Template Enhancement
File(s)
Author(s)
Frehlick, Z
Williams, I
Constandinou, TG
Type
Conference Paper
Abstract
This paper presents a novel method for improving the performance of template matching in neural spike sorting for similar shaped spikes, without increasing computational complexity. Mean templates for similar shaped spikes are enhanced to emphasise distinguishing features. Template optimisation is based on the variance of sample distributions. Improved spike sorting performance is demonstrated on simulated neural recordings with two and three neuron spike shapes. The method is designed for implementation on a Next Generation Neural Interface (NGNI) device at Imperial College London.
Date Issued
2017-01-26
Date Acceptance
2016-08-10
Citation
IEEE Biomedical Circuits and Systems (BioCAS) Conference, 2017, pp.524-527
URI
DOI
Publisher
IEEE
Start Page
524
End Page
527
Journal / Book Title
IEEE Biomedical Circuits and Systems (BioCAS) Conference
Copyright Statement
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (EPSRC)
Engineering & Physical Science Research Council (E
Grant Number
EP/I000569/1
EP/K015060/1
EP/M020975/1
BH141353 (EP/M025977/1)
Source
IEEE Biomedical Circuits and Systems (BioCAS) Conference
Subjects
Science & Technology
Technology
Computer Science, Information Systems
Engineering, Biomedical
Engineering, Electrical & Electronic
Computer Science
Engineering
RECORDINGS
Publication Status
Published
Start Date
2016-10-17
Finish Date
2016-10-19
Coverage Spatial
Shanghai, China