Computational Neuroscience Trends in Research, 1998

“Computational Neuroscience Trends in Research, 1998” by James M. Bower is a comprehensive volume published by Plenum Press in 1998, consisting of 642 pages in English. This edition presents a collection of research articles that delve into various aspects of computational neuroscience, highlighting significant findings and methodologies in the field. The book covers topics such as auditory pathway dynamics, rapid image categorization, and cellular mechanisms related to memory, providing insights into the intricate workings of the brain.
Readers will find a diverse range of studies addressing both cellular and network-level phenomena, including the effects of synaptic activity and sensory-motor coordination models. The volume also explores innovative methodologies, such as integrated environments for data acquisition and analysis. With contributions from multiple authors, this book serves as a valuable resource for those interested in the intersections of neuroscience, biophysics, and social science, reflecting the trends and advancements in research during this period.
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Subcellular: Response-Field Dynamics in the Auditory Pathway; D.A. Depireux, et al. Rapid Categorization of Extrafoveal Natural Images: Implications for Biological Models;M. Fabre-Thorpe, et al. Cortical Activity Pattern in Complex Tasks; F. Frisone, et al. Cellular: Resolving the Paradoxical Effect of Activity on Synapse Elimination; M.J. Barber, J.W. Lichtman. Cellular Mechanisms of Calcium Elevation Involved in Long Term Memory; K.T. Blackwell, et al. Temporal Characteristics of V1 Cells Arising from Synaptic Depression; F.S. Chance, et al. Network: An Oscillating Cortical Network Model of Sensory-Motor Timing and Coordination; B. Baird. Pattern-Generator-Driven Development in Self-Organizing Models; J.A. Bednar, R. Miikkulainen. Systems: Finite Element Decomposition of Human Neocortex; D.A. Batte, et al. Path Integration in the Rat Head-Direction Circuit; H.T. Blair, et al. Methodology: The Paperless Laboratory: An Integrated Environment for Data Acquisition, Analysis, Archiving, and Collaboration; T.D. Coates, Jr. The Qualitative Reasoning Neuron: A New Approach to Modeling in Computational Neuroscience; J.L. Krichmar, et al. 93 Additional Articles. Index.
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