The Neurobiology of Computation
Produktnummer:
18cf8ca3f515d547d590e4af6ed289d085
Themengebiete: | Chaos Neuromodulation artificial intelligence classification learning nonlinear dynamics optimization proving robot |
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Veröffentlichungsdatum: | 12.11.2012 |
EAN: | 9781461359401 |
Sprache: | Englisch |
Seitenzahl: | 444 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Bower, James M. |
Verlag: | Springer US |
Untertitel: | Proceedings of the Third Annual Computation and Neural Systems Conference |
Produktinformationen "The Neurobiology of Computation"
This volume includes papers presented at the Third Annual Computation and Neural Systems meeting (CNS*94) held in Monterey California, July 21 - July 26, 1994. This collection includes 71 of the more than 100 papers presented at this year's meeting. Acceptance for meeting presentation was based on the peer review of preliminary papers by at least two referees. The papers in this volume were submitted in final form after the meeting. As represented by this volume, CNS meetings continue to expand in quality, size and breadth of focus as increasing numbers of neuroscientists are taking a computational approach to understanding nervous system function. The CNS meetings are intended to showcase the best of current research in computational neuroscience. As such the meeting is fundamentally focused on understanding the relationship between the structure of neIVOUS systems and their function. What is clear from the continued expansion of the CNS meetings is that computational approaches are increasingly being applied at all levels of neurobiological analysis. in an ever growing number of experimental preparations. and neural subsystems. Thus. experimental subjects range from crickets to primates; sensory systems range from vision to electroreception; experimental approaches range from realistic models of ion channels to the analysis of the information content of spike trains. For this reason, the eNS meetings represent an opportunity for computational neurobiologists to consider their research results in a much broader context than is usually possible.

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