VLSI implementation of a neural network memory with several hundreds of neurons
AIP Conference Proceedings 151 on Neural Networks for Computing
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1: foundations
Neural network fundamentals with graphs, algorithms, and applications
Neural network fundamentals with graphs, algorithms, and applications
An Introduction to Neural Networks
An Introduction to Neural Networks
Artificial Neural Networks
Concepts for Neural Networks: A Survey
Concepts for Neural Networks: A Survey
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The human brain performs perceptual tasks such as visual pattern recognition, distinguishing acoustical harmonics, and speech understanding remarkably well. Such cognitive tasks remain difficult for digital computers to accomplish. The promise of neural computing relies on the rapid solution of such problems through massive parallelism, where information is not transferred between computing units, but is encoded through patterns of interconnectivity in a distributed fashion. The study of neural networks includes the notions of connectionism, parallel distributed processing, self-adaptive systems, and self-organizing systems.