Time-Space, Spiking Neural Networks, and Brain-Inspired Artificial Intelligence: Theories, Models, and Applications
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Explores the fundamental concepts of time-space, spiking neural networks, and brain-inspired artificial intelligence.
Provides a comprehensive overview of the field, from theoretical foundations to practical applications.
Features contributions from leading researchers in the field.
Covers a wide range of topics, including:
- The nature of time and space in the brain
- The role of spiking neurons in neural computation
- The development of brain-inspired artificial intelligence systems
Offers a unique perspective on the brain-mind problem.
Provides a valuable resource for researchers, students, and practitioners in the field of artificial intelligence.
Contributes to the growing body of knowledge on the brain and its implications for artificial intelligence.
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