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Dynamic Biological Networks
This introduction to the crustacean stomatogastric nervous system (STNS) describes some of the best-understood neural networks in the animal kingdom at cellular, network, behavioural, comparative and evolutionary levels of analysis.
Computational Neuroscience
This volume includes papers presented at the Fifth Annual Computational Neurosci ence meeting (CNS*96) held in Boston, Massachusetts, July 14 - 17, 1996. This collection includes 148 of the 234 papers presented at the meeting. Acceptance for mceting presenta tion was based on the peer review of preliminary papers originally submitted in May of 1996. The papers in this volume represent final versions of this work submitted in January of 1997. As represented by this volume, computational neuroscience continues to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. Defining computa tional neuroscience as the exploration of how brains compute, it is clear that there is al most no subject or area of modern neuroscience research that is not appropriate for computational studies. The CNS meetings as well as this volume reflect this scope and di versity.
The Crustacean Nervous System
Crustacean preparations have been successfully used for more than 50 years to investigate the principles which enable nerve cells and neural circuitry to perform in a wide variety of functions. The proud record of information of general significance obtained from crayfish and lobster nervous systems testifies that the use of an experimental system precisely matching theoretical and experimental requirements ofa measurement is an essential part of the success. In some respects, the secondarily diversified vertebrate and mammalian nervous systems pose severe obstacles to experimentation and measurement, whereas the crustacean nervous system recommends itself by being composed of individual neu...
Neurons, Networks, and Motor Behavior
Recent advances in motor behavior research rely on detailed knowledge of the characteristics of the neurons and networks that generate motor behavior. At the cellular level, Neurons, Networks, and Motor Behavior describes the computational characteristics of individual neurons and how these characteristics are modified by neuromodulators. At the network and behavioral levels, the volume discusses how network structure is dynamically modulated to produce adaptive behavior. Comparisons of model systems throughout the animal kingdom provide insights into general principles of motor control. Contributors describe how networks generate such motor behaviors as walking, swimming, flying, scratching...
Neuronal Mechanisms for Generating Locomotor Activity
At this conference, developments in the understanding of the neuronal basis for locomotion in higher vertebrates were presented and discussed. Amongst the developments covered in this report are a number of in vitro spinal cord preparations, which enable researchers to study locomotor pattern generation from cellular and molecular perspectives. The general principles for rhythmic pattern generation as well as avenues for future research are also discussed,
