Simple networks for spike-timing-based computation, with application to olfactory processing

Brody, C. D., Hopfield, J. J. (2003) Simple networks for spike-timing-based computation, with application to olfactory processing. Neuron, 37 (5). pp. 843-852. ISSN 0896-6273

URL: http://www.ncbi.nlm.nih.gov/pubmed/12628174
DOI: 10.1016/S0896-6273(03)00120-X

Abstract

Spike synchronization across neurons can be selective for the situation where neurons are driven at similar firing rates, a "many are equal" computation. This can be achieved in the absence of synaptic interactions between neurons, through phase locking to a common underlying oscillatory potential. Based on this principle, we instantiate an algorithm for robust odor recognition into a model network of spiking neurons whose main features are taken from known properties of biological olfactory systems. Here, recognition of odors is signaled by spike synchronization of specific subsets of "mitral cells." This synchronization is highly odor selective and invariant to a wide range of odor concentrations. It is also robust to the presence of strong distractor odors, thus allowing odor segmentation within complex olfactory scenes. Information about odors is encoded in both the identity of glomeruli activated above threshold (1 bit of information per glomerulus) and in the analog degree of activation of the glomeruli (approximately 3 bits per glomerulus).

Item Type: Paper
Uncontrolled Keywords: BULB REPRESENTATIONS OSCILLATIONS RECOGNITION INTEGRATION SYNCHRONY RESPONSES MIXTURES ODORANTS NEURONS
Subjects: organs, tissues, organelles, cell types and functions > tissues types and functions > neural networks
organism description > animal behavior > olfactory
CSHL Authors:
Communities: CSHL labs > Brody lab
Depositing User: Matt Covey
Date Deposited: 01 Jul 2013 18:45
Last Modified: 01 Jul 2013 18:45
Related URLs:
URI: http://repository.cshl.edu/id/eprint/27899

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