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...
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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 indelible part of neuroscience, and has arguably entered its maturity. It encompasses a vast array of approaches stemming from theoretical physics, computer science, and applied mathematics. This book provides a detailed review of this field from basic concepts to its most recent development.
Bibliographische Angaben
- Herausgegeben:Chow, Carson; Gutkin, Boris; Hansel, David; Meunier, Claude; Dalibard, Jean
- Verlag: Elsevier Science
- EAN: 9780444517920
Autoren-Porträt
Jean Dalibard works in the field of atomic physics and quantum optics. His recent activities is centered on the physics of cold quantum gases, in particular Bose-Einstein condensation.
Inhaltsverzeichnis zu „Methods and Models in Neurophysics “
1. E. Marder, Experimenting with theory2. 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 neuralsystems
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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