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Focusing on spiking neural networks (SNN), this monograph explores their classical theory and applications while introducing brain-inspired AI (BI-AI). It delves into deep learning and knowledge representation, showcasing BI-AI systems through various cognitive data types, including EEG and fMRI, as well as applications in brain-computer interfaces and multisensory data modeling. The final chapter discusses future directions, including the integration of diverse modalities in information processing. This research-oriented text 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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- 2018
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