Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields: Studies in Systems, Decision and Control, cartea 39
Autor Robert Kozma, Walter J. Freemanen Limba Engleză Paperback – 23 aug 2016
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.
Toate formatele și edițiile
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 634.26 lei 6-8 săpt. | |
Springer International Publishing – 23 aug 2016 | 634.26 lei 6-8 săpt. | |
Hardback (1) | 639.92 lei 6-8 săpt. | |
Springer International Publishing – 6 noi 2015 | 639.92 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319373522
ISBN-10: 3319373528
Pagini: 262
Ilustrații: XXV, 262 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
ISBN-10: 3319373528
Pagini: 262
Ilustrații: XXV, 262 p.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:Softcover reprint of the original 1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Systems, Decision and Control
Locul publicării:Cham, Switzerland
Cuprins
Part I Review of Dynamical Brain Theories and Experiments.- Part II Supplementary Materials on Brain Structure and Dynamics.-Part III Commentaries.
Textul de pe ultima copertă
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.
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.
Caracteristici
Presents a complex systems perspective of Cognition Demonstrates a new original view at cognition as a neural percolation process Includes commentaries by famous specialists in the neuro/brain-system