Innovative Methodology Extracting information in spike time patterns with wavelets and information theory
نویسندگان
چکیده
Vítor Lopes-dos-Santos, Stefano Panzeri, Christoph Kayser, Mathew E. Diamond, and Rodrigo Quian Quiroga Brain Institute, Federal University of Rio Grande do Norte, Natal, Brazil; Centre for Systems Neuroscience, University of Leicester, Leicester, United Kingdom; Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy; Max Planck Institute for Biological Cybernetics, Tübingen, Germany; Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, United Kingdom; Bernstein Center for Computational Neuroscience, Tübingen, Germany; and Tactile Perception and Learning Laboratory, International School for Advanced Studies, Trieste, Italy
منابع مشابه
Extracting information in spike time patterns with wavelets and information theory.
We present a new method to assess the information carried by temporal patterns in spike trains. The method first performs a wavelet decomposition of the spike trains, then uses Shannon information to select a subset of coefficients carrying information, and finally assesses timing information in terms of decoding performance: the ability to identify the presented stimuli from spike train patter...
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تاریخ انتشار 2015