Mo, Chun-Hui and Gu, Ming and Koch, Christof (2004) A learning rule for local synaptic interactions between excitation and shunting inhibition. Neural Computation, 16 (12). pp. 2507-2532. ISSN 0899-7667 http://resolver.caltech.edu/CaltechAUTHORS:MOCnc04
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The basic requirement for direction selectivity is a nonlinear interaction between two different inputs in space-time. In some models, the interaction is hypothesized to occur between excitation and inhibition of the shunting type in the neuron's dendritic tree. How can the required spatial specificity be acquired in an unsupervised manner? We here propose an activity-based, local learning model that can account for direction selectivity in visual cortex based on such a local veto operation and that depends on synaptically induced changes in intracellular calcium concentration. Our biophysical simulations suggest that a model cell with our learning algorithm can develop direction selectivity organically after unsupervised training. The learning rule is also applicable to a neuron with multiple-direction-selective subunits and to a pair of cells with opposite-direction selectivities and is stable under different starting conditions, delays, and velocities.
|Additional Information:||© 2004 The MIT Press. Received July 22, 2003; accepted May 4, 2004. We thank Patrick Wilken for an insightful discussion of the BCM learning rule and Bartlett Mel for providing us with cell models, help, and criticism. Thanks to Ying Gong for a critical reading of the manuscript. This research was supported by grants from the NSF-sponsored Engineering Research Center at Caltech, the National Institutes of Health, and the National Institute of Mental Health.|
|Subject Keywords:||RETINAL GANGLION-CELLS; PRIMARY VISUAL-CORTEX; DIRECTION SELECTIVITY; NEOCORTICAL CIRCUITS; CAT; NEURONS; PLASTICITY; MECHANISM; MODEL; INPUT|
|Usage Policy:||No commercial reproduction, distribution, display or performance rights in this work are provided.|
|Deposited By:||Lindsay Cleary|
|Deposited On:||28 Feb 2007|
|Last Modified:||26 Dec 2012 09:32|
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