Methods and Models in Neurophysics
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portes grátis
Methods and Models in Neurophysics
Lecture Notes of the Les Houches Summer School 2003
Meunier, Claude; Chow, Carson; Gutkin, Boris; Dalibard, Jean (Laboratoire Kastler Brossel, ENS, Paris, France); Hansel, David
Elsevier Science & Technology
12/2004
862
Dura
Inglês
9780444517920
15 a 20 dias
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). This book encompasses an array of approaches stemming from theoretical physics, computer science, and applied mathematics.
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
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). This book encompasses an array of approaches stemming from theoretical physics, computer science, and applied mathematics.
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
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
