A Neural Network Model for the Spatial and Temporal Response of Retinal Ganglion Cells
Data(s) |
14/11/2011
14/11/2011
01/02/1991
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Resumo |
This article introduces a quantitative model of early visual system function. The model is formulated to unify analyses of spatial and temporal information processing by the nervous system. Functional constraints of the model suggest mechanisms analogous to photoreceptors, bipolar cells, and retinal ganglion cells, which can be formally represented with first order differential equations. Preliminary numerical simulations and analytical results show that the same formal mechanisms can explain the behavior of both X (linear) and Y (nonlinear) retinal ganglion cell classes by simple changes in the relative width of the receptive field (RF) center and surround mechanisms. Specifically, an increase in the width of the RF center results in a change from X-like to Y-like response, in agreement with anatomical data on the relationship between α- and |
Identificador | |
Idioma(s) |
en_US |
Publicador |
Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems |
Relação |
BU CAS/CNS Technical Reports;CAS/CNS-TR-1991-009 |
Direitos |
Copyright 1991 Boston University. Permission to copy without fee all or part of this material is granted provided that: 1. The copies are not made or distributed for direct commercial advantage; 2. the report title, author, document number, and release date appear, and notice is given that copying is by permission of BOSTON UNIVERSITY TRUSTEES. To copy otherwise, or to republish, requires a fee and / or special permission. Boston University Trustees |
Tipo |
Technical Report |