DocumentCode
1917664
Title
Coherent oscillations as a neural code in a model of the olfactory system
Author
Gutierrez-Galvez, A. ; Gutierrez-Osuna, R.
Author_Institution
Dept. of Comput. Sci., Texas A&M Univ., College Station, TX, USA
Volume
1
fYear
2003
fDate
20-24 July 2003
Firstpage
341
Abstract
This paper presents an investigation of two odor-coding mechanisms in Freeman´s KIII neurodynamics model. Motivated by experimental evidence that supports the existence of a neural code based on synchronous oscillations, we propose an analogy between synchronization in neural populations and phase locking in KIII channels. The information carried by the phase is compared against the conventional amplitude code in terms of pattern-recovery capabilities. First, the scalar invariance of the KIII with respect to phase information is established. Symmetries and redundancies in the associative memory matrices are then exploited to perform an exhaustive evaluation of patterns on an 8-channel model. Simulation results show that phase information outperforms amplitude information in the recovery of odor patterns from incomplete or corrupted sensory stimulus.
Keywords
chemioception; neural nets; neurophysiology; oscillations; physiological models; 8-channel model; Freemans KIII neurodynamics model; coherent oscillations; conventional amplitude code; corrupted sensory stimulus; neural code; odor-coding mechanism; olfactory system; pattern-recovery capabilities; synchronous oscillations; Biological information theory; Biological system modeling; Chemical sensors; Computer science; Electronic noses; Neurons; Olfactory; Pattern recognition; Sensor arrays; Signal generators;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223369
Filename
1223369
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