Modeling in the Neurosciences: From Biological Systems to Neuromimetic Robotics

Computational models of neural networks have proven insufficient to accurately model brain function, mainly as a result of simplifications that ignore the physical reality of neuronal structure in favor of mathematically tractable algorithms and rules. Even the more biologically based "integrate and fire" and "compartmental" styles of modeling suff

Table of Contents:
PREFACE CONTRIBUTORS FOREWORD INTRODUCTION TO MODELING IN THE NEUROSCIENCES George N. Reeke PATTERNS OF GENETIC INTERACTIONS: ANALYSIS OF MRNA LEVELS FROM CDNA MICROARRAYS Larry S. Liebovitch, Lina A. Shehadeh, andd Viktor K. Jirsa CALCIUM SIGNALING IN DENDRITIC SPINES William R. Holmes PHYSIOLOGICAL AND STATISTICAL APPROACHES TO MODELING OF SYNAPTIC RESPONSES Parag G. Patil, Mike West, Howard V. Wheal, and Dennis A. Turner NATURAL VARIABILITY IN THE GEOMETRY OF DENDRITIC BRANCHING PATTERNS Jaap van Pelt and Harry B.M. Uylings MULTICYLINDER MODELS FOR SYNAPTIC AND GAP-JUNCTIONAL INTEGRATION Jonathan D. Evans VOLTAGE TRANSIENTS IN BRANCHING MULTIPOLAR NEURONS WITH TAPERING DENDRITES AND SODIUM CHANNELS Lloyd L. Glenn and Jeffrey R. Knisley ANALYTICAL SOLUTIONS OF THE FRANKENHAEUSER-HUXLEY EQUATIONS MODIFIED FOR DENDRITIC BACKPROPAGATION OF A SINGLE SODIUM SPIKE Roman R. Poznanski INVERSE PROBLEMS FOR SOME CABLE MODELS OF DENDRITES Jonathan Bell EQUIVALENT CABLES-ANALYSIS AND CONSTRUCTION Kenneth A. Lindsay, Jay R. Rosenberg, and Gayle Tucker THE REPRESENTATION OF THREE-DIMENSIONAL DENDRITIC STRUCTURE BY A ONE-DIMENSIONAL MODEL-THE CONVENTIONAL CABLE EQUATION AS THE FIRST MEMBER OF A HIERARCHY OF EQUATIONS Kenneth A. Lindsay, Jay R. Rosenberg, and Gayle Tucker SIMULATION ANALYSES OF RETINAL CELL RESPONSES Yoshimi Kamiyama, Akito Ishihara, Toshihiro Aoyama, and Shiro Usui MODELING INTRACELLULAR CALCIUM: DIFFUSION, DYNAMICS, AND DOMAINS Gregory D. Smith EPHAPTIC INTERACTIONS BETWEEN NEURONS Robert Costalat and Bruno Delord CORTICAL PYRAMIDAL CELLS Roger D. Orpwood SEMI-QUANTITATIVE THEORY OF BISTABLE DENDRITES WITH POTENTIAL-DEPENDENT FACILITATION OF INWARD CURRENT Aron Gutman, Armantas Baginskas, Jorn Hounsgaard, Natasha Svirskiene, and Gytis Svirskis BIFURCATION ANALYSIS OF THE HODGKIN-HUXLEY EQUATIONS Shunsuke Sato, Hidekazu Fukai, Taishin Nomura, and Shinji Doi HIGHLY EFFICIENT PROPAGATION OF RANDOM IMPULSE TRAINS ACROSS UNMYELINATED AXONAL BRANCH POINTS: MODIFICATIONS BY PERIAXONAL K+ ACCUMULATION AND SODIUM CHANNEL KINETICS Mel D. Goldfinger DENDRITIC INTEGRATION IN A TWO-NEURON RECURRENT EXCITATORY NETWORK MODEL Roman R. Poznanski SPIKE-TRAIN ANALYSIS FOR NEURAL SYSTEMS David M. Halliday THE POETICS OF TREMOR G.P. Moore and Helen M. Bronte-Stewart PRINCIPLES AND METHODS IN THE ANALYSIS OF BRAIN NETWORKS Olaf Sporns THE DARWIN BRAIN-BASED AUTOMATA: SYNTHETIC NEURAL MODELS AND REAL-WORLD DEVICES Jeffrey L. Krichmar and George N. Reeke TOWARD NEURAL ROBOTICS: FROM SYNTHETIC MODELS TO NEUROMIMETIC IMPLEMENTATIONS Olaf Sporns BIBLIOGRAPHY INDEX

About the Author :
G. N. Reeke, R. R. Poznanski, K. A. Lindsay, J. R. Rosenberg, O. Sporns

Review :
"The more we learn about the brain, the more we are convinced that understanding its incomputability will be a key to unlocking its functions. Neuroscience is turning a corner, and this book is helping to usher in a new era. The Second Edition is essential reading for those interested in contemporary approaches to neural modeling." -Paul Bach-y-Rita, M.D., Professor of Rehabilitation Medicine and Biomedical Engineering, University of Wisconsin, USA "The brain is an integrative organ of adjustment from gene networks to neuronal networks. The vast complexity involved requires mathematical modeling. The Second Edition advances such an integrative approach, and is undoubtedly a mathematical tour de force. This book will radically change our perception of theoretical and computational neuroscience." -Roman M. Borisyuk, D.Sc., Professor of Computational Neuroscience, Centre for Theoretical and Computational Neuroscience, University of Plymouth, UK "Physiologically realistic and integrative models of the brain are the only way forward to lift us clear of the jungle of detail about the brain. The essence of brain function dynamics that they embody will serve as the fundamental fulcrum around which new details (parameters) can be added and tested across scale. This book exemplifies a realistic way forward for an explicit 'integrative neuroscience'." -Evian Gordon, Ph.D., CEO, The Brain Resource Company, and Scientific Chair (and Founding Director), The Brain Dynamic Centre, Westmead Hospital, Australia