Abstract #302177

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JSM 2003 Abstract #302177
Activity Number: 477
Type: Contributed
Date/Time: Thursday, August 7, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract - #302177
Title: Spike Sorting Using Opitmal Quantization
Author(s): Mingzhou Song*+
Companies: Computer Science at Queens College
Address: 3801 Brooklyn Ave. NE, Seattle, WA, 98105-6769,
Keywords: spike sorting ; quantization
Abstract:

Spike sorting is a problem that detects repeated time signal patterns from observed neuron activity voltage. A neuron emits spikes which are of similar shape every once in a while on the average of 10 Hz. The spike signals aquisited by a probe are subject to environmental noise and spikes from surrounding neuron. The spike shape itself also may change slightly over time. Our approach is to use optimal quantization as a technique to represent both the uncertainty associated with the spike shapes themselves and also the environmental noise. We will compare our aproach with other more or less standard techniques such as the threshold method and the principal component analysis approach.

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