Cognitive Phase Transitions in the Cerebral Cortex - Enhancing the Neuron Doctrine by Modeling Neural Fields

Softcover Nachdruck of the original 1. Auflage 2016
ISBN: 978-3-319-37352-2
Verlag: Springer International Publishing

Buch, Englisch, Band 39, 262 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4394 g

Reihe: Studies in Systems, Decision and Control

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.

Zielgruppe

Research

Autoren/Hrsg.

Freeman, Walter J.

Kozma, Robert

Fachgebiete

• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Neurowissenschaften, Kognitionswissenschaft
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Part I Review of Dynamical Brain Theories and Experiments.- Part II Supplementary Materials on Brain Structure and Dynamics.-Part III Commentaries.