Temporal-to-spatial dynamic mapping,flexible recognition,and temporal correlations in an olfactory cortex model |
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Authors: | Mykola Lysetskiy Andrzej Lozowski Jacek M Zurada |
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Institution: | (1) Department of Electrical and Computer Engineering, University of Louisville, Louisville, KY 40292, USA, US;(2) Department of Electrical and Computer Engineering, Southern Illinois University at Edwardsville, Edwardsville, IL, USA, US |
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Abstract: | This paper proposes temporal-to-spatial dynamic mapping inspired by neural dynamics of the olfactory cortex. In our model
the temporal structure of olfactory-bulb patterns is mapped to the spatial dynamics of the ensemble of cortical neurons. This
mapping is based on the following biological mechanism: while anterior part of piriform cortex can be excited by the afferent
input alone, the posterior areas require both afferent and association signals, which are temporally correlated in a specific
way. One of the functional types of the neurons in our model corresponds to the cortical spatial dynamics and encodes odor
components, and another represents temporal activity of association-fiber signals, which, we suggest, may be relevant to the
encoding of odor concentrations. The temporal-to-spatial mapping and distributed representation of the model enable simultaneous
rough cluster classification and fine recognition of patterns within a cluster as parts of the same dynamic process. The model
is able to extract and segment the components of complex odor patterns which are spatiotemporal sequences of neural activity.
Received: 16 October 2001 / Accepted in revised form: 7 February 2002 |
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