An Introduction to Neural and Electronic Networks

Neurobiological Substrates: Reverse Engineering the Nervous System. Brains and Their Applications. Information Processing Strategies and Pathways in the Primate Visual System. A Neurocomputational Theory of Hippocampal Function in Stimulus Representation and Learning. A Computational Model of the Cerebellum and Motor-Reflex Conditioning. The Design of Intelligent Robots as a Federation of Geometric Machines. New Approaches to Nonlinear Concepts in Neural Information Processing. Emulated and Simulated Systems: Neural Computation of Visual Images. Models of the Neural Basis of Insect Behaviour. A Silicon Model of Auditory Localization. Selective Recognition Automata. An Overview of Neural Networks. Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition. Electronic Networks: A Construction Set for Silicon Neurons. VLSI Implementation of Neural Networks. Smart Vision Chips. A Digital VLSI Architecture for Real World Applications. Synthetic Neural Systems in the 90's. Computational and Mathematical Considerations: Covariance Storage in the Hippocampus. Computation of Motion By Neurons. Brain Style Computation. Network Self-Organisation in the Ontogenesis of the Mammalian Visual System. A Neural Network Architecture for Autonomous Learning, Recognition and Prediction in a Nonstationary World. Author Index, Subject Index