Computational neuroscience is an approach to understanding the information content of neural signals by modeling the nervous system at many different structural scales, including the biophysical, the circuit, and the systems levels. Computer simulations of neurons and neural networks are complementary to traditional techniques in neuroscience. This book series welcomes contributions that link theoretical studies with experimental approaches to understanding information processing in the nervous system. Areas and topics of particular interest include biophysical mechanisms for computation in neurons, computer simulations of neural circuits, models of learning, representation of sensory information in neural networks, systems models of sensory-motor integration, and computational analysis of problems in biological sensing, motor control, and perception.
Bayesian Brain Probabilistic Approaches to Neural Coding
Edited by Kenji Doya, Shin Ishii, Alexandre Pouget and Rajesh P. N. Rao
Experimental and theoretical neuroscientists use Bayesian approaches to analyze the brain mechanisms of perception, decision-making, and motor control. Cloth / January 2007 Price $55.00 | ADD TO CART
The Computational Brain Patricia Churchland and Terrence J. Sejnowski
Churchland and Sejnowski address the foundational ideas of the emerging field of computational neuroscience, examine a diverse range of neural network models, and consider future directions of the field. Cloth / June 1992 Price $87.50 | ADD TO CART
Computational Vision Information Processing in Perception and Visual Behavior Hanspeter A. Mallot; Translated by John S. Allen
This text provides an introduction to computational aspects of early vision, in particular, color, stereo, and visual navigation. Cloth / October 2000 Price $55.00 | ADD TO CART
Dynamic Biological Networks The Stomatogastric Nervous System
Edited by Ronald M. Harris-Warrick, Eve Marder, Allen I. Selverston and Maurice Moulins
This introduction to the crustacean stomatogastric nervous system (STNS) describes some of the best-understood neural networks in the animal kingdom at cellular, network, behavioral, comparative, and evolutionary levels of analysis. Cloth / October 1992 Price $75.00 | ADD TO CART
Dynamical Systems in Neuroscience The Geometry of Excitability and Bursting Eugene M. Izhikevich
Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. Cloth / November 2006 Price $62.00 | ADD TO CART
Dynamical Systems in Neuroscience The Geometry of Excitability and Bursting Eugene M. Izhikevich
Explains the relationship of electrophysiology, nonlinear dynamics, and the computational properties of neurons, with each concept presented in terms of both neuroscience and mathematics and illustrated using geometrical intuition. Paper / March 2010 Price $32.00 | NOT YET AVAILABLE FOR ORDERING
Graphical Models Foundations of Neural Computation
Edited by Michael I. Jordan and Terrence J. Sejnowski
This book exemplifies the interplay between the general formal framework of graphical models and the exploration of new algorithm and architectures. The selections range from foundational papers of historical importance to results at the cutting edge of research. Paper / September 2001 Price $40.00 | ADD TO CART
Large-Scale Neuronal Theories of the Brain Edited by Christof Koch and Joel L. Davis
The authors encompass a broad background, from biophysics and electrophysiology to psychophysics, neurology, and computational vision. However, all the chapters focus on a common issue: the role of the primate (including human) cerebral cortex in memory, visual perception, focal attention, and awareness. Cloth / June 1994 Price $75.00 | ADD TO CART
Methods in Neuronal Modeling From Synapses to Networks
Edited by Christof Koch and Idan Segev Methods in Neuronal Modeling is the first technical handbook on computational neuroscience. Cloth / June 1989 OUT OF PRINT
Neural Engineering Computation, Representation, and Dynamics in Neurobiological Systems Chris Eliasmith and Charles H. Anderson
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems. Cloth / December 2002 OUT OF PRINT
Neural Engineering Computation, Representation, and Dynamics in Neurobiological Systems Chris Eliasmith and Charles H. Anderson
A synthesis of current approaches to adapting engineering tools to the study of neurobiological systems. Paper / September 2004 Price $40.00 | ADD TO CART
Neural Nets in Electric Fish Walter F. Heiligenberg; Foreword by Mark Konishi
Heiligenberg's pioneering research describes the behavior of one species, the jamming avoidance response in the electric fish Eigenmannia, providing a rich mine of data that documents the first vertebrate example of the workings of the entire behavioral system from sensory input to motor output. Cloth / October 1991 OUT OF STOCK
