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Unlocking the Brain's Mysteries: Chris Eliasmith on Spiking Neural Networks and the Future of Human-Machine Interaction

Machine Learning Street Talk (MLST)

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Exploring Consciousness and Cognition

This chapter examines the comparative analysis of traditional neural networks and neuromorphic hardware, emphasizing challenges in modeling human cognition. It questions the nature of consciousness, debating its potential existence in artificial systems while addressing philosophical inquiries about embodiment and mental-physical relationships. The discussion highlights the intricate dynamics of cognitive processes and the implications of free will, showcasing the intersection of neuroscience and artificial intelligence.

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