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The focus on spiking neural networks (SNN) highlights their biological inspiration and unique approach to information processing through spike trains. This monograph delves into classical theories and innovative applications, introducing brain-inspired AI (BI-AI) systems. It explores diverse fields, including cognitive brain data, brain-computer interfaces, and multisensory data modeling in various domains. The final chapter discusses future advancements, such as integrating quantum and molecular processing. This research book is aimed at postgraduate students and professionals in multiple disciplines.
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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence, Nikola K. Kasabov
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- 2019
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