Pulsed Neural Networks

Minor rubbing, VG., dustwrapper. Textual graphs & tables. Artificial Neural Networks MIT Press Cambridge[MA] 1999 orig. boards xxx,377 pp, 25x18cm, Contents: Basic Concepts and Models; Spiking Neurons; The Problem of Neural Coding; Neuron Models; Conclusions; Computing with Spiking Neurons; Introduction; A Formal Computational Model for a Network of Spiking Neurons; McCulloch-Pitts Neurons versus Spiking Neurons; Computing with Temporal Patterns; Computing with a Space-Rate Code; Computing with Firing Rates; Firing Rates and Temporal Correlations; Networks of Spiking Neurons for Storing and Retrieving Information; Computing on Spike Trains; Conclusions; Pulse-Based Computation in VLSI Neural Networks; Background; Pulsed Coding: A VLSI Perspective; A MOSFET Introduction; Pulse Generation in VLSI; Pulsed Arithmetic in VLSI; Learning in Pulsed Systems; Summary and Issues Raised; Encoding Information in Neuronal Activity; Introduction;Synchronization and Oscillations; Temporal Binding; Phase Coding; Dynamic Range and Firing Rate Codes; Interspike Interval Variability; Synapses and Rate Coding; Summary and Implications; Implementations; Building Silicon Nervous Systems with Dendritic Tree Neuromorphs; Introduction; Implementation in VLSI; Neuromorphs in Action; Conclusions; A Pulse-Coded Communications Infrastructure; Introduction; Neuromorphic Computational Nodes; Neuromorphic a VLSI Neurons; Address Event Representation (AER); Implementations of AER; Silicon Cortex; Functional Tests of Silicon Cortex;Future Research on AER Neuromorphic Systems; Analog VLSI Pulsed Networks for Perceptive Processing; Introduction; Analog Perspective Nets Communication Requirements; Analysis of the NAPFM Communication Systems; ..