Methods and models in neurophysics = Methodes et modeles en neurophysique : École d'Été de Physique des Houches, Session LXXX, 28 July-29 August 2003, Nato Advanced Study Institute, Ecole Thematique du CNRS /

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Neuroscience is an interdisciplinary field that strives to understand the functioning of neural systems at levels ranging from biomolecules and cells to behaviour and higher brain functions (perception, memory, cognition). Neurophysics has flourished over the past three decades, becoming an indelibl...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: Ecole d'été de physique théorique (Les Houches, Haute-Savoie, France)
Otros Autores: Chow, C. C. (Carson C.) (Editor )
Formato: Electrónico Congresos, conferencias eBook
Idioma:Inglés
Publicado: Amsterdam ; San Diego, Calif. : Elsevier, 2005.
Edición:1st ed.
Temas:
Neural networks (Neurobiology) > Computer simulation > Congresses.
Nervous system > Computer simulation > Congresses.
Computational neuroscience > Congresses.
SOCIAL SCIENCE > Anthropology > Physical.
Computational neuroscience.
Nervous system > Computer simulation.
Neural networks (Neurobiology) > Computer simulation.
Conference papers and proceedings.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. E. Marder, Experimenting with theory
  • 2. A. Borysuk and J. Rinzel, Understanding neuronal dynamics by geometrical dissection of minimal models
  • 3. D. Terman, Geometry singular perturbation analysis of neuronal dynamics
  • 4. G. Mato, Theory of neural synchrony
  • 5. M. Shelley, Some useful numerical techniques for simulating integrate-and-fire networks
  • 6. D. Golomb, Propagation of pulses in cortical networks: the single-spike approximation
  • 7. M. Tsodyks, Activity-dependent transmission in neocortical synapses
  • 8. H. Sompolinsky and J. White, Theory of large recurrent networks: from spikes to behavior
  • 9. C. van Vreeswijk, Irregular activity in large networks of neurons
  • 10. N. Brunel, Network models of memory
  • 11. P. Bressloff, Pattern formation in visual cortex
  • 12. F. Wolf, Symmetry breaking and pattern selection in visual cortical development
  • 13. A. Treves and Y. Roudi, On the evolution of the brain
  • 14. E. Brown, Theory of point processes for neural systems
  • 15. C. Pouzat, Technique(s) for spike sorting
  • 16. N. Tishby, The emergence of relevant data representations: an information theoretic approach.

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