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Irina Higgins

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Irina HigginsiD1 paper

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Approach:statistical model· 1

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Jan Schnupp· 1 shared Simon Stringer· 1 shared

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NeurosciencebioRxivJun 19, 2016

Unsupervised Learning of Temporal Features for Word Categorization in a Spiking Neural Network Model of the Auditory Brain

Irina Higgins, Simon Stringer, Jan Schnupp

The paper develops a spiking neural network model to show that temporal encoding in polychronous groups better represents speaker-independent word identity than rate encoding.

DOI 10.1371/journal.pone.0180174

statistical model

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