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dc.contributor.authorNehrkorn, Johannesen_US
dc.date.accessioned2016-06-25T01:57:28Z
dc.date.available2016-06-25T01:57:28Z
dc.date.issued2015en_US
dc.identifier.otherHPU4160269en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/21774en_US
dc.description.abstractPeripheral neurons of most sensory systems increase their response with increasing stimulus intensity. Behavioural responses, however, can be specific to some intermediate intensity level whose particular value might be innate or associatively learned. Learning such a preference requires an adjustable trans-formation from a monotonic stimulus representation at the sensory periphery to a non-monotonic representation for the motor command.en_US
dc.format.extent13 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.publisherThe Royal Societyen_US
dc.subjectBiologyen_US
dc.subjectBehaviouren_US
dc.subjectNeuroscienceen_US
dc.titleAmodel for non monotonic intensity codingen_US
dc.typeBooken_US
dc.size743KBen_US
dc.departmentEducationen_US


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