Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli

The distribution of responses of sensory neurons to ecological stimulation has been proposed to be designed to maximize information transmission, which according to a simple model would imply an exponential distribution of spike counts in a given time window. We have used recordings from inferior te...

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Format: Journal article
Published: Massachussetts Institute of Technology 1999
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collection OXFORD
description The distribution of responses of sensory neurons to ecological stimulation has been proposed to be designed to maximize information transmission, which according to a simple model would imply an exponential distribution of spike counts in a given time window. We have used recordings from inferior temporal cortex neurons responding to quasi-natural visual stimulation (presented using a video of everyday lab scenes and a large number of static images of faces and natural scenes) to assess the validity of this exponential model and to develop an alternative simple model of spike count distributions. We Žnd that the exponential model has to be rejected in 84% of cases (at the p < 0.01 level). A new model, which accounts for the Žring rate distribution found in terms of slow and fast variability in the inputs that produce neuronal activation, is rejected statistically in only 16% of cases. Finally, we show that the neurons are moderately efŽcient at transmitting information but not optimally efficient. c°
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spelling oxford-uuid:fc0851e6-c7e6-4eea-af9f-e7e6ae2494ad2022-03-27T13:17:58ZFiring Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual StimuliJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:fc0851e6-c7e6-4eea-af9f-e7e6ae2494adExperimental PsychologyOxford University Research Archive - ValetMassachussetts Institute of Technology1999The distribution of responses of sensory neurons to ecological stimulation has been proposed to be designed to maximize information transmission, which according to a simple model would imply an exponential distribution of spike counts in a given time window. We have used recordings from inferior temporal cortex neurons responding to quasi-natural visual stimulation (presented using a video of everyday lab scenes and a large number of static images of faces and natural scenes) to assess the validity of this exponential model and to develop an alternative simple model of spike count distributions. We Žnd that the exponential model has to be rejected in 84% of cases (at the p < 0.01 level). A new model, which accounts for the Žring rate distribution found in terms of slow and fast variability in the inputs that produce neuronal activation, is rejected statistically in only 16% of cases. Finally, we show that the neurons are moderately efŽcient at transmitting information but not optimally efficient. c°
spellingShingle Experimental Psychology
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title_full Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title_fullStr Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title_full_unstemmed Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title_short Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli
title_sort firing rate distributions and efficiency of information transmission of inferior temporal cortex neurons to natural visual stimuli
topic Experimental Psychology