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dc.contributor.advisorMarmont, George
dc.contributor.authorMcCrory, Seaborn Montgomery III
dc.dateMarch 1977
dc.date.accessioned2012-11-16T19:14:12Z
dc.date.available2012-11-16T19:14:12Z
dc.date.issued1977-03
dc.identifier.urihttp://hdl.handle.net/10945/18053
dc.description.abstractThe pertinent points of visual neurophysiology and neuroanatomy are reviewed with particular emphasis on how retinal light distributions result in perceived phenomena. The neural modeling techniques used at the Naval Postgraduate School are discussed. The specific computer programs used by the author in modeling are described. These stem from a basic model capable of calculating the postsynaptic potential and spike outputs for any sequence of excitatory and inhibitory inputs. More advanced programs model facilitation, fatigue, and narrow band motion detection. The most advanced program models lateral inhibition in an eight neuron linear array. The lateral inhibition network is used to show temporal phenomena (null vs. preferred direction, fast vs. slow speed detection) as well as spatial phenomena (Mach bands, line sharpening, disinhibition, spatial frequency response) . Many suggestions for future modeling work are given.
dc.description.urihttp://archive.org/details/computermodeling1094518053
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
dc.titleComputer modeling the neurophysiology of vision.en_US
dc.typeThesisen_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.departmentElectrical Engineering
dc.subject.authorvisual nervous system
dc.subject.authorvision
dc.subject.authorneural modeling
dc.subject.authorvision modeling
dc.subject.authorneurophysiology
dc.subject.authorcomputer modeling
dc.subject.authorlateral inhibition
dc.description.serviceLieutenant Commander, United States Navy
etd.thesisdegree.nameM.S. in Electrical Engineeringen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineElectrical Engineeringen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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