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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (Paperback, Softcover reprint of the original 1st ed. 2019)
Loot Price: R7,945
Discovery Miles 79 450
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Time-Space, Spiking Neural Networks and Brain-Inspired Artificial Intelligence (Paperback, Softcover reprint of the original 1st ed. 2019)
Series: Springer Series on Bio- and Neurosystems, 7
Expected to ship within 10 - 15 working days
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Total price: R7,965
Discovery Miles: 79 650
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Spiking neural networks (SNN) are biologically inspired
computational models that represent and process information
internally as trains of spikes. This monograph book presents the
classical theory and applications of SNN, including original
author's contribution to the area. The book introduces for the
first time not only deep learning and deep knowledge representation
in the human brain and in brain-inspired SNN, but takes that
further to develop new types of AI systems, called in the book
brain-inspired AI (BI-AI). BI-AI systems are illustrated on:
cognitive brain data, including EEG, fMRI and DTI; audio-visual
data; brain-computer interfaces; personalized modelling in
bio-neuroinformatics; multisensory streaming data modelling in
finance, environment and ecology; data compression; neuromorphic
hardware implementation. Future directions, such as the integration
of multiple modalities, such as quantum-, molecular- and brain
information processing, is presented in the last chapter. The book
is a research book for postgraduate students, researchers and
practitioners across wider areas, including computer and
information sciences, engineering, applied mathematics, bio- and
neurosciences.
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