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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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Lenguaje: | eng |
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Springer
2002
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Acceso en línea: | https://dx.doi.org/10.1007/b98859 http://cds.cern.ch/record/2006110 |
_version_ | 1780946247320862720 |
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author | Lytton, William W |
author_facet | Lytton, William W |
author_sort | Lytton, William W |
collection | CERN |
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. |
id | cern-2006110 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2002 |
publisher | Springer |
record_format | invenio |
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 |