Pulsed Neural Networks.pdf

Pulsed Neural Networks

Christopher Bishop

Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. In recent years, data from neurobiological experiments have made it increasingly clear that biological neural networks, which communicate through pulses, use the timing of the pulses to transmit information and perform computation. This realization has stimulated significant research on pulsed neural networks, including theoretical analyses and model development, neurobiological modeling, and hardware implementation. This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. Terrence J. Sejnowskis foreword, Neural Pulse Coding, presents an overview of the topic. The first half of the book consists of longer tutorial articles spanning neurobiology, theory, algorithms, and hardware. The second half contains a larger number of shorter research chapters that present more advanced concepts. The contributors use consistent notation and terminology throughout the book.

An inhibitory pulsed neural network was developed for brain-like information processing, by using single-flux-quantum (SFQ) circuits. It consists of spiking neuron devices that are coupled to each other through all-to-all inhibitory connections. The network selects neural activity. The operation of the neural network was confirmed by computer simulation. Using neural networks for high resolution distance ...

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9780262632218 ISBN
Pulsed Neural Networks.pdf

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Notes actuelles

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Sofya Voigtuh

Spiking neural networks (SNNs) are artificial neural networks that more closely mimic natural neural networks. In addition to neuronal and synaptic state, SNNs ...

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Mattio Müllers

We present a mechanism of unsupervised competitive learning and devel- opment of topology preserving self-organizing maps of spiking neurons. The information encoding is based on the precise timing of single spike events. The work provides a

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Noels Schulzen

Does a pulsed (spiking) neural network outperform …

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Jason Leghmann

Pulsed Neural Networks . 1999. Abstract. From the Publisher: This book presents the complete spectrum of current research in pulsed neural networks and includes the most important work from many of the key scientists in the field. Cited By. Navaridas J, Luján M, Plana L, Temple S and Furber S On generating multicast routes for SpiNNaker Proceedings of the 11th ACM Conference on Computing

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Jessica Kolhmann

Pulsed neural networks consisting of single-flux …