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Biologically Plausible Neural Circuits for Realization of Maximum Operations

dc.date.accessioned2004-10-20T21:03:51Z
dc.date.accessioned2018-11-24T10:23:29Z
dc.date.available2004-10-20T21:03:51Z
dc.date.available2018-11-24T10:23:29Z
dc.date.issued2001-09-01en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/7240
dc.identifier.urihttp://repository.aust.edu.ng/xmlui/handle/1721.1/7240
dc.description.abstractObject recognition in the visual cortex is based on a hierarchical architecture, in which specialized brain regions along the ventral pathway extract object features of increasing levels of complexity, accompanied by greater invariance in stimulus size, position, and orientation. Recent theoretical studies postulate a non-linear pooling function, such as the maximum (MAX) operation could be fundamental in achieving such invariance. In this paper, we are concerned with neurally plausible mechanisms that may be involved in realizing the MAX operation. Four canonical circuits are proposed, each based on neural mechanisms that have been previously discussed in the context of cortical processing. Through simulations and mathematical analysis, we examine the relative performance and robustness of these mechanisms. We derive experimentally verifiable predictions for each circuit and discuss their respective physiological considerations.en_US
dc.format.extent28 p.en_US
dc.format.extent2197042 bytes
dc.format.extent930880 bytes
dc.language.isoen_US
dc.subjectAIen_US
dc.subjectmaximum operationen_US
dc.subjectinvarianceen_US
dc.subjectrecurrent inhibitionen_US
dc.subjectshunting inhibitionen_US
dc.titleBiologically Plausible Neural Circuits for Realization of Maximum Operationsen_US


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