This chapter presents methods for audio-, visual- and for the integrated audio and visual information processing using brain-inspired SNN architectures such as NeuCube. Case studies are presented for short musical pieces recognition, fast moving object recognition, age-invariant face identification, moving digits recognition and other.
CITATION STYLE
Kasabov, N. K. (2019). Deep Learning and Modelling of Audio-, Visual-, and Multimodal Audio-Visual Data in Brain-Inspired SNN (pp. 457–477). https://doi.org/10.1007/978-3-662-57715-8_13
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