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.
CITATION STYLE
Kasabov, N. K. (2019). Audio- and Visual Information Processing in the Brain and Its Modelling with Evolving SNN (pp. 431–456). https://doi.org/10.1007/978-3-662-57715-8_12
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