Computational Neuroscience: Trends in Research, 1997 / Edition 1by James M. Bower
Pub. Date: 10/31/1997
Publisher: Springer US
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… See more details below
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.
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Table of ContentsSubcellular: Activity-Dependent Regulation of Inhibition in Visual Cortical Cultures; A. de Wan, et al. The Dual Role of Calcium in Synaptic Plasticity of the Motor Endplate; S.R.H. Joseph, et al. Neuronal Exocytosis Exhibits Fractal Behavior; S.B. Lowen, et al. Cellular: An Investigation of Tonic Versus Phasic Firing Behavior of Medial Vestibular Neurons; E. Av-Ron, P.-P. Vidal. Effect of Potassium Conductance Characteristics on Pattern Matching in a Model of Dendritic Spines; K.T. Blackwell, et al. Network: Self-Organizing Circuits of Model Neurons; L.F. Abbott, O. Jensen. Spontaneous Replay of Temporally Compressed Sequences by a Hippocampal Network Model; D.A. August, W.B. Levy. Systems: Effects of Medial Septal Lesions: Implications for Models of Hippocampal Function; J.J. Boitano, et al. Weight-Space Mapping of fMRI Motor Tasks: Evidence for Nested Neural Networks; J.B. Caplan, et al. Methodology. Grid Generation for Brain Visualization at the Cellular and Tissue Level; D.A. Batte, B.H. McCormick. Parallel GENESIS for Large-Scale Modeling; N.H. Goddard, G. Hood. 136 Additional Articles. Index.
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