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Biophysics of computation : information processing in single neurons /
Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York :
Oxford University Press,
1999.
|
| Colección: | Computational neuroscience.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 050 | 4 | |a QP357.5 |b .K63 1999eb | |
| 060 | 4 | |a 1999 A-598 | |
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| 100 | 1 | |a Koch, Christof, |d 1956- | |
| 245 | 1 | 0 | |a Biophysics of computation : |b information processing in single neurons / |c Christof Koch. |
| 260 | |a New York : |b Oxford University Press, |c 1999. | ||
| 300 | |a 1 online resource (xxiii, 562 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Computational neuroscience | |
| 504 | |a Includes bibliographical references (pages 503-552) and index. | ||
| 588 | 0 | |a Print version record. | |
| 520 | |a Neural network research often builds on the fiction that neurons are simple linear threshold units, completely neglecting the highly dynamic and complex nature of synapses, dendrites, and voltage-dependent ionic currents. Biophysics of Computation: Information Processing in Single Neurons challenges this notion, using richly detailed experimental and theoretical findings from cellular biophysics to explain the repertoire of computational functions available to single neurons. The author shows how individual nerve cells can multiply, integrate, or delay synaptic inputs and how information can b. | ||
| 505 | 0 | |a The membrane equation --Linear cable theory -- Passive dendritic trees -- Synaptic input -- Synaptic interactions in a passive dendritic tree -- The Hodgkin-Huxley model of action potential generation -- Phase space analysis of neuronal excitability -- Ionic channels -- Beyond Hodgkin and Huxley: calcium and calcium-dependent potassium currents -- Linearizing voltage-dependent currents -- Diffusion, buffering and binding -- Dendritic spines -- Synaptic plasticity -- Simplified models of individual neurons -- Stochastic models of single cells -- Bursting cells -- Input resistance, time constants, and spike initiation -- Synaptic input to a passive tree -- Voltage-dependent events in the dendritic tree -- Unconventional computing -- Computing with neurons: a summary -- Appendix A: Passive membrane parameters -- Appendix B: A miniprimer on linear systems analysis -- Appendix C: Sparce matrix methods for modeling single neurons. | |
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Computational neuroscience. | |
| 650 | 0 | |a Neurons. | |
| 650 | 0 | |a Neural networks (Neurobiology) | |
| 650 | 0 | |a Action potentials (Electrophysiology) | |
| 650 | 0 | |a Neural conduction. | |
| 650 | 0 | |a Neural circuitry. | |
| 650 | 2 | |a Neurons | |
| 650 | 2 | |a Action Potentials | |
| 650 | 2 | |a Nerve Net | |
| 650 | 2 | |a Neural Conduction | |
| 650 | 6 | |a Neurosciences informatiques. | |
| 650 | 6 | |a Neurones. | |
| 650 | 6 | |a Réseaux neuronaux (Neurobiologie) | |
| 650 | 6 | |a Potentiels d'action (Électrophysiologie) | |
| 650 | 6 | |a Conduction nerveuse. | |
| 650 | 6 | |a Réseaux nerveux. | |
| 650 | 7 | |a SOCIAL SCIENCE |x Anthropology |x Physical. |2 bisacsh | |
| 650 | 7 | |a Neural circuitry |2 fast | |
| 650 | 7 | |a Action potentials (Electrophysiology) |2 fast | |
| 650 | 7 | |a Computational neuroscience |2 fast | |
| 650 | 7 | |a Neural conduction |2 fast | |
| 650 | 7 | |a Neural networks (Neurobiology) |2 fast | |
| 650 | 7 | |a Neurons |2 fast | |
| 650 | 7 | |a Neurologie |2 gnd | |
| 650 | 7 | |a Aktionspotenzial |2 gnd | |
| 650 | 7 | |a Neuronales Netz |2 gnd | |
| 650 | 7 | |a Nervennetz |2 gnd | |
| 650 | 7 | |a Signaltransduktion |2 gnd | |
| 650 | 7 | |a Konnektionismus |2 gnd | |
| 650 | 7 | |a Biophysik |2 gnd | |
| 650 | 7 | |a Datenverarbeitung |2 gnd | |
| 650 | 7 | |a Nervenzelle |2 gnd | |
| 650 | 7 | |a Informationsverarbeitung |2 gnd | |
| 650 | 1 | 7 | |a Neurobiologie. |2 gtt |
| 650 | 1 | 7 | |a Actiepotentialen. |2 gtt |
| 650 | 1 | 7 | |a Neurotransmissie. |2 gtt |
| 650 | 7 | |a Neurones. |2 ram | |
| 650 | 7 | |a Réseaux neuronaux (physiologie) |2 ram | |
| 650 | 7 | |a Conduction nerveuse. |2 ram | |
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| 830 | 0 | |a Computational neuroscience. | |
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