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02729nam a22005055i 4500 |
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978-3-319-24406-8 |
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DE-He213 |
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20170520142047.0 |
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cr nn 008mamaa |
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151030s2016 gw | s |||| 0|eng d |
| 020 |
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|a 9783319244068
|9 978-3-319-24406-8
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7 |
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|a 10.1007/978-3-319-24406-8
|2 doi
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|d GrThAP
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|a Q342
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|a UYQ
|2 bicssc
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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| 100 |
1 |
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|a Kozma, Robert.
|e author.
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| 245 |
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|a Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields
|h [electronic resource] /
|c by Robert Kozma, Walter J. Freeman.
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| 264 |
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1 |
|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2016.
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| 300 |
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|a XXV, 262 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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1 |
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|a Studies in Systems, Decision and Control,
|x 2198-4182 ;
|v 39
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| 520 |
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|a This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.
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| 650 |
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|a Engineering.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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|a Computational intelligence.
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| 650 |
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|a Complexity, Computational.
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| 650 |
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|a Cognitive psychology.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 650 |
2 |
4 |
|a Complexity.
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| 650 |
2 |
4 |
|a Cognitive Psychology.
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| 700 |
1 |
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|a Freeman, Walter J.
|e author.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9783319244044
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| 830 |
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|a Studies in Systems, Decision and Control,
|x 2198-4182 ;
|v 39
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-24406-8
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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