| A neural network model for preferred direction detection based on ON/OFF ganglion cell responses and wiring | |
Abstract/OtherAbstract
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This paper proposes a physiologically plausible neural network model that can detect preferred motion direction. This model differs from earlier works which considers only static responses of ganglion cells. The ON/OFF cells response sequence to a light edge moving across receptive fields (RF) is used for motion direction detection. The time domain response sequence is mapped to a space distribution sequence of receptive fields. Motion direction can be detected from the OFF response of the ON cell. The simulation results from the GENESIS simulator are presented and analysed. The possibility of this model being used to detect light object contour is also discussed. 1 Introduction We are investigating a computational model of the superior colliculus (SC) [Wang et al, 1997a; Wang et al, 1997b] broadly based on a number of anatomical and functional studies reviewed by Stein [Stein 1993] Wurtz and Munoz [Wurtz 1994]. The SC is a midbrain nucleus which contains a number of horizontally orie... |
Authors
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Zhihong Zhao,Xiaoxing Wang,Marwan Jabri |
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Contributors
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The Pennsylvania State University CiteSeer Archives |
Publication Detail
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Publisher : unknown Type : - Format : ps |
Date Detail
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1997-06-24 |
Subject
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Zhihong Zhao,Xiaoxing Wang,Marwan Jabri A neural network model for preferred direction detection based on ON/OFF ganglion cell responses and wiring |
Coverage
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Relation
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Source
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http://www.sedal.usyd.edu.au/~marwan/papers/zzh_nc.ps.gz |
Copyright Information
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unrestricted |
Other Details
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Languages : en |
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