Mo, Chun-Hui and Koch, Christof (2003) Modeling Reverse-Phi Motion-Selective Neurons in Cortex: Double Synaptic-Veto Mechanism. Neural Computation, 15 (4). pp. 735-759. ISSN 0899-7667 http://resolver.caltech.edu/CaltechAUTHORS:20111017-100956604
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Reverse-phi motion is the illusory reversal of perceived direction of movement when the stimulus contrast is reversed in successive frames. Livingstone, Tsao, and Conway (2000) showed that direction-selective cells in striate cortex of the alert macaque monkey showed reversed excitatory and inhibitory regions when two different contrast bars were flashed sequentially during a two-bar interaction analysis. While correlation or motion energy models predict the reverse-phi response, it is unclear how neurons can accomplish this. We carried out detailed biophysical simulations of a direction-selective cell model implementing a synaptic shunting scheme. Our results suggest that a simple synaptic-veto mechanism with strong direction selectivity for normal motion cannot account for the observed reverse-phi motion effect. Given the nature of reverse-phi motion, a direct interaction between the ON and OFF pathway, missing in the original shunting-inhibition model, it is essential to account for the reversal of response. We here propose a double synaptic-veto mechanism in which ON excitatory synapses are gated by both delayed ON inhibition at their null side and delayed OFF inhibition at their preferred side. The converse applies to OFF excitatory synapses. Mapping this scheme onto the dendrites of a direction-selective neuron permits the model to respond best to normal motion in its preferred direction and to reverse-phi motion in its null direction. Two-bar interaction maps showed reversed excitation and inhibition regions when two different contrast bars are presented.
|Additional Information:||© 2003 Massachusetts Institute of Technology. Received April 3, 2002; accepted October 7, 2002. Posted Online March 13, 2006. This project originated in a joint discussion with Tomaso Poggio and Margaret Livingstone. We thank both for their help and criticism. We also thank Kevin Archie, Bartlett Mel, and Terry Sejnowski for providing us with cell models, help, and criticism. This research was supported by grants from the NSF-sponsored Engineering Research Center at Cal Tech, the National Institutes of Health, and the National Institute of Mental Health.|
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|Deposited By:||Tony Diaz|
|Deposited On:||17 Oct 2011 18:54|
|Last Modified:||26 Dec 2012 14:16|
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