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From computer to brain: foundations of computational neuroscience

Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integ...

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Detalles Bibliográficos
Autor principal: Lytton, William W
Lenguaje:eng
Publicado: Springer 2002
Materias:
Acceso en línea:https://dx.doi.org/10.1007/b98859
http://cds.cern.ch/record/2006110
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author Lytton, William W
author_facet Lytton, William W
author_sort Lytton, William W
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description Biology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.
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spelling cern-20061102021-04-21T20:24:04Zdoi:10.1007/b98859http://cds.cern.ch/record/2006110engLytton, William WFrom computer to brain: foundations of computational neuroscienceMathematical Physics and MathematicsBiology undergraduates, medical students and life-science graduate students often have limited mathematical skills. Similarly, physics, math and engineering students have little patience for the detailed facts that make up much of biological knowledge. Teaching computational neuroscience as an integrated discipline requires that both groups be brought forward onto common ground. This book does this by making ancillary material available in an appendix and providing basic explanations without becoming bogged down in unnecessary details. The book will be suitable for undergraduates and beginning graduate students taking a computational neuroscience course and also to anyone with an interest in the uses of the computer in modeling the nervous system.Springeroai:cds.cern.ch:20061102002
spellingShingle Mathematical Physics and Mathematics
Lytton, William W
From computer to brain: foundations of computational neuroscience
title From computer to brain: foundations of computational neuroscience
title_full From computer to brain: foundations of computational neuroscience
title_fullStr From computer to brain: foundations of computational neuroscience
title_full_unstemmed From computer to brain: foundations of computational neuroscience
title_short From computer to brain: foundations of computational neuroscience
title_sort from computer to brain: foundations of computational neuroscience
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/b98859
http://cds.cern.ch/record/2006110
work_keys_str_mv AT lyttonwilliamw fromcomputertobrainfoundationsofcomputationalneuroscience