Information Maximization in a Feedforward Network Replicates the Stimulus Preference of the Medial Geniculate and the Auditory Cortex

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9950)

Abstract

Central auditory neurons exhibit a preference for complex features, such as frequency modulation and pitch. This study shows that the stimulus preference for these features can be replicated by a network model trained to maximize information transmission from input to output. The network contains three layers: input, first-output, and second-output. The first-output-layer neurons exhibit auditory-nerve neuron-like preferences, and the second-output-layer neurons exhibit a stimulus preference similar to that of cochlear nucleus, medial geniculate, and auditory cortical neurons. The features detected by the second-output-layer neurons reflect the statistical properties of the sounds used as input.

Keywords

Information maximization Auditory information processing Auditory cortex Pitch selectivity Frequency modulation selectivity 

Notes

Acknowledgments

This work was supported by JSPS KAKENHI Grant Numbers 15H04266 and 16K16123.

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.The Center for Data Science Education and ResearchShiga UniversityHikoneJapan

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