NDLI: Autocorrelation properties of single neurons

Content Provider	IEEE Xplore Digital Library
Author	Tapson, J.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Cape Town Univ., Rondebosch, South Africa (Tapson, J.)
Abstract	Recent studies have shown that stochastic resonance (SR) can occur in biological neurons (Douglas et al, 1993). This behaviour is characterised by possible enhancement of signal detection in the presence of increasing noise levels, and by phase locking between neuron activation and weak periodic input signals. It has been suggested that this behaviour may occur in the human nervous system, and may play an important part in sensory perception. In this paper we show that a single neuron in the presence of noise is capable of performing an autocorrelation an an incoming periodic stimulus, and thereby can even detect periodicities which have no spectral energy (so-called "missing fundamentals"). There is substantial evidence for this mechanism in the current data on acoustic perception (Horst et al, 1986, Wightman, 1973). Autocorrelation has been proposed in the past as a mechanism in sensory systems; these results suggest that it can take place at the simplest level in the human sensory system.
Starting Page	209
Ending Page	212
File Size	386274
Page Count	4
File Format	PDF
ISBN	0780350545
DOI	10.1109/COMSIG.1998.736950
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-09-08
Publisher Place	South Africa
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Autocorrelation Neurons Humans Stochastic resonance Strontium Signal detection Noise level Nervous system Acoustic noise Acoustic signal detection
Content Type	Text
Resource Type	Article

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