Models of Neural Networks IV

Models of Neural Networks IV

Early Vision and Attention
J. Leo van Hemmen, Jack D. Cowan, Eytan Domany, Editors

This volume, with chapters by leading researchers in the field, is devoted to early vision and attention, that is, to the first stages of visual information processing. This state-of-the-art look at biological neural networks spans the many subfields, such as computational and experimental neuroscience; anatomy and physiology; visual information processing and scene segmentation; perception at illusory contours; control of visual attention; and paradigms for computing with spiking neurons.


Table of Contents
Neurons, Networks, and Cognition: An Introduction to Neural Modeling - J. A. Hertz - Pages 1-46
The Gaze Control System - John van Opstal - Pages 47-95
Integrating Anatomy and Physiology of the Primary Visual Pathway: From LGN to Cortex - K. Funke, Z. F. Kisvárday, M. Volgushev, F. Wörgötter - Pages 97-182
Neural Principles of Preattentive Scene Segmentation: Hints from Cortical Recordings, Related Models, and Perception - Reinhard Eckhorn - Pages 183-216
Figure-Ground Segregation and Brightness Perception at Illusory Contours: A Neuronal Model - E. Peterhans, R. van der Zwan, B. Heider, F. Heitger - Pages 217-245
Controlling the Focus of Visual Selective Attention - Ernst Niebur, Laurent Itti, Christof Koch - Pages 247-276
Activity—Gating Attentional Networks - J. Eggert, J. L. van Hemmen - Pages 277-312
Timing and Counting Precision in the Blowfly Visual System - Rob de Ruyter, William Bialek - Pages 313-371
Paradigms for Computing with Spiking Neurons - Wolfgang Maass - Pages 373-402


Springer, Physics of Neural Networks, Hardback, english, 413 pages