Methods and Models in Neurophysics : Lecture Notes of the Les Houches Summer School 2003.

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 principal: Chow, C. C. (Carson C.)
Otros Autores: Gutkin, Boris (Boris Samuel), Hansell, David M.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Burlington : Elsevier, 2005.
Colección:Les Houches Ser.
Temas:
Neural networks (Neurobiology) > Computer simulation > Congresses.
Nervous system > Computer simulation > Congresses.
Computational neuroscience > Congresses.
Réseaux neuronaux (Neurobiologie) > Simulation par ordinateur > Congrès.
Système nerveux > Simulation par ordinateur > Congrès.
Neurosciences informatiques > Congrès.
Computational neuroscience
Nervous system > Computer simulation
Neural networks (Neurobiology) > Computer simulation
Conference papers and proceedings
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Methods and Models in Neurophysics; Copyright Page; Contents; Course 1. Experimenting with theory; Course 2. Understanding neuronal dynamics by geometrical dissection of minimal models; Course 3. Geometric singular perturbation analysis of neuronal dynamics; Course 4. Theory of neural synchrony; Course 5. Some useful numerical techniques for simulating integrate-and-fire networks; Course 6. Propagation of pulses in cortical networks: the single-spike approximation; Course 7. Activity-dependent transmission in neocortical synapses.
  • Course 8. Theory of large recurrent networks: from spikes to behaviorCourse 9. Irregular activity in large networks of neurons; Course 10. Network models of memory; Course 11. Pattern formation in visual cortex; Course 12. Symmetry breaking and pattern selection in visual cortical development; Course 13. Of the evolution of the brain; Course 14. Theory of point processes for neural systems; Course 15. Technique(s) for spike-sorting; Course 16. The emergence of r.

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