Methods in Neuronal Modeling : From Ions to Networks
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| Title: | Methods in Neuronal Modeling : From Ions to Networks |
|---|---|
| Description: | Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from'simple'animals such as sea slugs and flies to cats and primates. New interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modeling approach. This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells. The contributors highlight several key trends: (1) the tightening link between analytical/numerical models and the associated experimental data, (2) the broadening of modeling methods, at both the subcellular level and the level of large neuronal networks that incorporate real biophysical properties of neurons as well as the statistical properties of spike trains, and (3) the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit integration (VLSI) technology. The field of neuroscience has grown dramatically since the first edition of this book was published nine years ago. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs. They can be accessed via Christof Koch's Website.ContributorsLarry F. Abbott, Paul R. Adams, Hagai Agmon-Snir, James M. Bower, Robert E. Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Mainen, Eve Marder, Michael V. Mascagni, Alexander D. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Sejnowski, Shihab Shamma, Arthur S. Sherman, Paul Smolen, Haim Sompolinsky, Michael Vanier, Walter M. Yamada |
| Authors: | Christof Koch, Idan Segev |
| Resource Type: | eBook. |
| Subjects: | Nervous system, Biological models, Mathematical models, Anatomy, Cells, Nervous system--Computer simulation, Neural networks (Neurobiology), Neurons--Computer simulation, Neurons, Neuroplasticity |
| Categories: | MEDICAL / Neuroscience |
| Database: | eBook Collection (EBSCOhost) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Header | DbId: nlebk DbLabel: eBook Collection (EBSCOhost) An: 49321 RelevancyScore: 959 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 959.155151367188 |
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| Items | – Name: Title Label: Title Group: Ti Data: Methods in Neuronal Modeling : From Ions to Networks – Name: Abstract Label: Description Group: Ab Data: Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from'simple'animals such as sea slugs and flies to cats and primates. New interdisciplinary methodologies combine a bottom-up experimental methodology with the more top-down-driven computational and modeling approach. This book serves as a handbook of computational methods and techniques for modeling the functional properties of single and groups of nerve cells. The contributors highlight several key trends: (1) the tightening link between analytical/numerical models and the associated experimental data, (2) the broadening of modeling methods, at both the subcellular level and the level of large neuronal networks that incorporate real biophysical properties of neurons as well as the statistical properties of spike trains, and (3) the organization of the data gained by physical emulation of the nervous system components through the use of very large scale circuit integration (VLSI) technology. The field of neuroscience has grown dramatically since the first edition of this book was published nine years ago. Half of the chapters of the second edition are completely new; the remaining ones have all been thoroughly revised. Many chapters provide an opportunity for interactive tutorials and simulation programs. They can be accessed via Christof Koch's Website.ContributorsLarry F. Abbott, Paul R. Adams, Hagai Agmon-Snir, James M. Bower, Robert E. Burke, Erik de Schutter, Alain Destexhe, Rodney Douglas, Bard Ermentrout, Fabrizio Gabbiani, David Hansel, Michael Hines, Christof Koch, Misha Mahowald, Zachary F. Mainen, Eve Marder, Michael V. Mascagni, Alexander D. Protopapas, Wilfrid Rall, John Rinzel, Idan Segev, Terrence J. Sejnowski, Shihab Shamma, Arthur S. Sherman, Paul Smolen, Haim Sompolinsky, Michael Vanier, Walter M. Yamada – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Christof+Koch%22">Christof Koch</searchLink><br /><searchLink fieldCode="AR" term="%22Idan+Segev%22">Idan Segev</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Nervous+system%22">Nervous system</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+models%22">Biological models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Anatomy%22">Anatomy</searchLink><br /><searchLink fieldCode="DE" term="%22Cells%22">Cells</searchLink><br /><searchLink fieldCode="DE" term="%22Nervous+system--Computer+simulation%22">Nervous system--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Neural+networks+%28Neurobiology%29%22">Neural networks (Neurobiology)</searchLink><br /><searchLink fieldCode="DE" term="%22Neurons--Computer+simulation%22">Neurons--Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Neurons%22">Neurons</searchLink><br /><searchLink fieldCode="DE" term="%22Neuroplasticity%22">Neuroplasticity</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Neuroscience%22">MEDICAL / Neuroscience</searchLink> |
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| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 573.80113 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Nervous system Type: general – SubjectFull: Biological models Type: general – SubjectFull: Mathematical models Type: general – SubjectFull: Anatomy Type: general – SubjectFull: Cells Type: general – SubjectFull: Nervous system--Computer simulation Type: general – SubjectFull: Neural networks (Neurobiology) Type: general – SubjectFull: Neurons--Computer simulation Type: general – SubjectFull: Neurons Type: general – SubjectFull: Neuroplasticity Type: general Titles: – TitleFull: Methods in Neuronal Modeling : From Ions to Networks Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Christof Koch – PersonEntity: Name: NameFull: Idan Segev – PersonEntity: Name: NameFull: Christof Koch – PersonEntity: Name: NameFull: Idan Segev IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 1998 – D: 04 M: 02 Type: profile Y: 2014 Identifiers: – Type: isbn-print Value: 9780262112314 – Type: isbn-print Value: 9780262517133 – Type: isbn-electronic Value: 9780262277327 Titles: – TitleFull: Methods in Neuronal Modeling : From Ions to Networks Type: main |
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