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Evolving Processes in Time-Space. Deep Learning and Deep Knowledge Representation in Time-Space. Brain-Inspired AI Read chapter Read first chapter

2019 | OriginalPaper | Chapter

12. Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN

Author : Nikola K. Kasabov

Published in: Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Publisher: Springer Berlin Heidelberg

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Abstract

This chapter presents first some background knowledge on how the human brain processes audio- and visual information. Then methods are presented for audio-, visual- and for the integrated audio and visual information processing using evolving spiking neural networks that include convolutional evolving spiking neural networks (CeSNN). Case studies are presented for person identification.

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previous chapter Integrating Time-Space and Orientation. A Case Study on fMRI + DTI Brain Data
next chapter Deep Learning and Modelling of Audio-, Visual-, and Multimodal Audio-Visual Data in Brain-Inspired SNN
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Metadata
Title
Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN
Author
Nikola K. Kasabov
Copyright Year
2019
Publisher
Springer Berlin Heidelberg
Book
Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence

Print ISBN: 978-3-662-57713-4

Electronic ISBN: 978-3-662-57715-8

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-662-57715-8_12

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