000 | 02730nam a22005175i 4500 | ||
---|---|---|---|
001 | 978-3-319-24406-8 | ||
003 | DE-He213 | ||
005 | 20200421112046.0 | ||
007 | cr nn 008mamaa | ||
008 | 151030s2016 gw | s |||| 0|eng d | ||
020 |
_a9783319244068 _9978-3-319-24406-8 |
||
024 | 7 |
_a10.1007/978-3-319-24406-8 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aKozma, Robert. _eauthor. |
|
245 | 1 | 0 |
_aCognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields _h[electronic resource] / _cby Robert Kozma, Walter J. Freeman. |
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016. |
|
300 |
_aXXV, 262 p. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
||
337 |
_acomputer _bc _2rdamedia |
||
338 |
_aonline resource _bcr _2rdacarrier |
||
347 |
_atext file _bPDF _2rda |
||
490 | 1 |
_aStudies in Systems, Decision and Control, _x2198-4182 ; _v39 |
|
520 | _aThis 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. | ||
650 | 0 | _aEngineering. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aComputational intelligence. | |
650 | 0 | _aComplexity, Computational. | |
650 | 0 | _aCognitive psychology. | |
650 | 1 | 4 | _aEngineering. |
650 | 2 | 4 | _aComputational Intelligence. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aComplexity. |
650 | 2 | 4 | _aCognitive Psychology. |
700 | 1 |
_aFreeman, Walter J. _eauthor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783319244044 |
830 | 0 |
_aStudies in Systems, Decision and Control, _x2198-4182 ; _v39 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-319-24406-8 |
912 | _aZDB-2-ENG | ||
942 | _cEBK | ||
999 |
_c56929 _d56929 |