Abstract
Spiking neural networks (SNN) and the deep learning algorithms for them have been inspired by the structure, the organisation and the many aspects of deep learning and deep knowledge representation in the human brain. This chapter presents basic information about brain structures and functions and reveals some inner processes of deep learning and deep knowledge representation as inspiration for brain-inspired SNN (BI-SNN) and brain-inspired AI (BI-AI) presented in the next chapters. The presented here information is not intended for modeling the brain in its precise structural and functional complexity, but rather for: (1) Borrowing spatio-temporal information processing principles from the brain for the creation of brain-inspired SNN and brain-inspired AI as general spatio-temporal data machines for deep learning and deep knowledge representation in time-space; (2) Understanding brain data, when modeled with SNN, for a more accurate analysis and for a better understanding of the brain processes that generated the data.
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