DocumentCode :
3520759
Title :
Toward a continuous model of the cortical column: Application to speech recognition
Author :
Guyot, F. ; Alexandre, F. ; Haton, J.-P.
Author_Institution :
CRIN/INRIA, Vandoeuvre-les-Nancy, France
fYear :
1989
fDate :
23-26 May 1989
Firstpage :
37
Abstract :
The authors propose a novel approach to neuronlike models that consists in simulating cortical columns, i.e. associations of neurons having a specific, functional activity. This model is built according to a theory which is consistent with neurobiological data. The model is implemented through a network of columns that simulate the inherently parallel functioning of the nervous system. A description is given of this model, and the experimental conditions in which it is now being tested are described
Keywords :
neural nets; speech recognition; connectionist model; continuous model; cortical column; inherently parallel functioning; nervous system; neurobiological data; neuronlike models; neurons; speech recognition; Artificial intelligence; Automatic speech recognition; Hidden Markov models; Multilayer perceptrons; Nervous system; Neural networks; Neurons; Speech processing; Speech recognition; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location :
Glasgow
ISSN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.1989.266357
Filename :
266357
Link To Document :
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