Embracing the Efficiency of the Neuromorphic Hairball
Brains and Machines
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Evolving Neural Structures and Learning Mechanisms
This chapter explores the integration of spiking neural networks with evolutionary algorithms, focusing on the challenges of parameter optimization in neural models. It discusses the design of brain-like connectivity and the evolution of learning rules to enhance artificial intelligence systems.
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