The second comprehensive volume of Wechsler's series explores recent research in in neural networks that has advanced our understanding of human and machine perception. Leading international researchers address both theoretical and practical issues related to the feasibility of neural network models to explain human perception and implement machine perception. The volume examines computational and adaptational problems related to the use of neural systems and discusses the corresponding hardware architectures needed to ...
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The second comprehensive volume of Wechsler's series explores recent research in in neural networks that has advanced our understanding of human and machine perception. Leading international researchers address both theoretical and practical issues related to the feasibility of neural network models to explain human perception and implement machine perception. The volume examines computational and adaptational problems related to the use of neural systems and discusses the corresponding hardware architectures needed to implement neural networks for perception.
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