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Ripple Analysis in Ferret Primary Auditory Cortex III. Prediction of Unit Responses to Arbitrary Spectral Profiles

dc.contributor.authorShamma, S.en_US
dc.contributor.authorVersnel, H.en_US
dc.date.accessioned2007-05-23T09:58:40Z
dc.date.available2007-05-23T09:58:40Z
dc.date.issued1995en_US
dc.identifier.urihttp://hdl.handle.net/1903/5613
dc.description.abstractWe examined whether AI responses to arbitrary spectral profiles can be explained by the superposition of responses to the individual ripple components that make up the spectral pattern. For each unit, the ripple transfer function was first measured using ripple stimuli consisting of broadband complexes with sinusoidally modulated spectral envelopes (Shamma et al. 1994). Unit responses to various combinations of ripples were compared to those predicted from the superposition of responses according to the transfer function. Spectral profiled included combinations of 2-5 ripples of equal amplitudes and random phases, and vowel- like profiles composed of 10 ripples with various amplitudes and phases. The results demonstrate that predicted and measured responses are reasonably well matched, and hence support the notion that AI analyzes the acoustic spectrum in a substantially linear manner.en_US
dc.format.extent1285628 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.ispartofseriesISR; TR 1995-18en_US
dc.subjectfilteringen_US
dc.subjectneural systemsen_US
dc.subjectsignal processingen_US
dc.subjectspeech processingen_US
dc.subjectauditory physiologyen_US
dc.subjectIntelligent Signal Processing en_US
dc.subjectCommunications Systemsen_US
dc.titleRipple Analysis in Ferret Primary Auditory Cortex III. Prediction of Unit Responses to Arbitrary Spectral Profilesen_US
dc.typeTechnical Reporten_US
dc.contributor.departmentISRen_US


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