Neural Systems: Analysis and Modeling

✍ Scribed by William Bialek (auth.), Frank H. Eeckman (eds.)

• Publisher: Springer US
• Year: 1993
• Tongue: English
• Leaves: 444
• Edition: 1
• Category: Library

✦ Synopsis

In recent years there has been tremendous activity in computational neuroscience resulting from two parallel developments. On the one hand, our knowledge of real nervous systems has increased dramatically over the years; on the other, there is now enough computing power available to perform realistic simulations of actual neural circuits. This is leading to a revolution in quantitative neuroscience, which is attracting a growing number of scientists from non-biological disciplines. These scientists bring with them expertise in signal processing, information theory, and dynamical systems theory that has helped transform our ways of approaching neural systems. New developments in experimental techniques have enabled biologists to gather the data necessary to test these new theories. While we do not yet understand how the brain sees, hears or smells, we do have testable models of specific components of visual, auditory, and olfactory processing. Some of these models have been applied to help construct artificial vision and hearing systems. Similarly, our understanding of motor control has grown to the point where it has become a useful guide in the development of artificial robots. Many neuroscientists believe that we have only scratched the surface, and that a more complete understanding of biological information processing is likely to lead to technologies whose impact will propel another industrial revolution.
Neural Systems: Analysis and Modeling contains the collected papers of the 1991 Conference on Analysis and Modeling of Neural Systems (AMNS), and the papers presented at the satellite symposium on compartmental modeling, held July 23-26, 1992, in San Francisco, California. The papers included, present an update of the most recent developments in quantitative analysis and modeling techniques for the study of neural systems.

✦ Table of Contents

Front Matter....Pages i-ix
Front Matter....Pages 1-1
Optimal Real-Time Signal Processing in the Nervous System....Pages 5-28
Measuring the coding efficiency of sensory neurons....Pages 29-38
Non-linear Analysis of Models for Biological Pattern Formation: Application to Ocular Dominance Stripes....Pages 39-46
A Hierarchical Sensory-Motor Architecture of Oscillating Cortical Area Subnetworks....Pages 47-66
A Computationally Efficient Spike Initiator Model that Produces a Wide Variety of Neural Responses....Pages 67-75
Linearization by Noise and/or Additional Shunting Current of a Modified FitzHugh Nagumo Spiking Model....Pages 77-91
Genesis: a neuronal simulation system....Pages 95-102
CAJAL - 91: A Biological Neural Network Simulator....Pages 103-111
Nodus: A User Friendly Neuron Simulator for Macintosh Computers....Pages 113-119
NeMoSys: An Approach to Realistic Neural Simulation....Pages 121-126
NEURON — A Program for Simulation of Nerve Equations....Pages 127-136
Front Matter....Pages 137-137
Models of Activity-Dependent Neural Development....Pages 141-165
Visual Inputs and Information Processing in Sensory Cortex: An in vivo Developmental Study....Pages 167-178
Motion Detection and Directional Selectivity in the Crayfish Visual System....Pages 179-191
Neither DoG nor LoG fits the receptive field of the vertebrate cone....Pages 193-209
Cellular and Network Determinants of Visual Motion Properties in Cortical Neurons: Studies with an In Vitro Preparation of Visual Cortex....Pages 211-218
Reconstruction of Target Images in the Sonar of Bats....Pages 221-253
Non-phase locked auditory cells and ‘envelope’ detection....Pages 255-263
Model of the Origin of Neuronal Selectivity for Binaural Intensity Difference in the Barn Owl....Pages 265-279
A resonance model of high frequency binaural phase sensitivity in the barn owl’s auditory brainstem....Pages 281-291
Front Matter....Pages 137-137
A Computational Model of the Cat Medial Geniculate Body Ventral Division....Pages 293-305
Simulation of Neural Responses that Underlie Speech Discrimination....Pages 307-313
The Jamming Avoidance Response (JAR) of the electric fish, Eigenmannia : Computational Rules and their Neuronal Implementation....Pages 317-340
‘Small cell’ simulations: physiological features of a phase difference detector....Pages 341-353
Compartmental modeling of macular primary neuron branch processes....Pages 355-363
Modeling of Chaotic Dynamics in the Olfactory System and Application to Pattern Recognition....Pages 365-372
Front Matter....Pages 373-373
Computational Implications of a Serotonin-Sensitive Region of Axonal Membrane On a Dual Function Motor Neuron....Pages 377-390
Nonlinear Synaptic Integration in Neostriatal Spiny Neurons....Pages 393-405
Modeling Vestibulo-Ocular Reflex Dynamics: From Classical Analysis to Neural Networks....Pages 407-429
Movement Primitives in the Frog Spinal Cord....Pages 431-446
Model and Simulation of a Simplified Cerebellar Neural Network for Classical Conditioning of the Rabbit Eye-blink Response....Pages 447-461
Back Matter....Pages 463-465

✦ Subjects

Artificial Intelligence (incl. Robotics);Circuits and Systems;Statistical Physics, Dynamical Systems and Complexity;Biophysics and Biological Physics;Electrical Engineering