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1678 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 53, NO. 8, AUGUST 2006 A Method for Detection and Classification of Events
 

Summary: 1678 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, VOL. 53, NO. 8, AUGUST 2006
A Method for Detection and Classification of Events
in Neural Activity
Hemant S. Bokil*, Bijan Pesaran, Richard A. Andersen, and Partha P. Mitra, Member, IEEE
Abstract--We present a method for the real time prediction of
punctuate events in neural activity, based on the time-frequency
spectrum of the signal, applicable both to continuous processes
like local field potentials (LFPs) as well as to spike trains. We test
it on recordings of LFP and spiking activity acquired previously
from the lateral intraparietal area (LIP) of macaque monkeys per-
forming a memory-saccade task. In contrast to earlier work, where
trials with known start times were classified, our method detects
and classifies trials directly from the data. It provides a means to
quantitatively compare and contrast the content of LFP signals and
spike trains: we find that the detector performance based on the
LFP matches the performance based on spike rates. The method
should find application in the development of neural prosthetics
based on the LFP signal. Our approach uses a new feature vector,
which we call the 2 cepstrum.
Index Terms--Cepstral analysis, decoding, multitaper spectral

  

Source: Andersen, Richard - Division of Biology, California Institute of Technology

 

Collections: Biology and Medicine