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210512 ||| eng |
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|a 978-2-88945-401-3
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| 020 |
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|a 9782889454013
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| 100 |
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|a Marcel van Gerven
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| 245 |
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|a Artificial Neural Networks as Models of Neural Information Processing
|h Elektronische Ressource
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| 260 |
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|b Frontiers Media SA
|c 2018
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| 300 |
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|a 1 electronic resource (220 p.)
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| 653 |
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|a brain imaging
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| 653 |
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|a deep learning
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| 653 |
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|a Neurosciences / bicssc
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| 653 |
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|a neural information processing
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| 653 |
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|a artificial neural networks
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| 653 |
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|a spiking neural networks
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| 653 |
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|a backpropagation
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| 700 |
1 |
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|a Sander Bohte
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 490 |
0 |
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|a Frontiers Research Topics
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
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| 028 |
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|a 10.3389/978-2-88945-401-3
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| 856 |
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|u https://www.frontiersin.org/research-topics/4817/artificial-neural-networks-as-models-of-neural-information-processing
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/41357
|z DOAB: description of the publication
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| 082 |
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|a 000
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| 082 |
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|a 700
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| 520 |
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|a Modern neural networks gave rise to major breakthroughs in several research areas. In neuroscience, we are witnessing a reappraisal of neural network theory and its relevance for understanding information processing in biological systems. The research presented in this book provides various perspectives on the use of artificial neural networks as models of neural information processing. We consider the biological plausibility of neural networks, performance improvements, spiking neural networks and the use of neural networks for understanding brain function.
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