Neuronal Noise: 8 - Rilegato

Destexhe, Alain; Rudolph-Lilith, Michelle

Rilegato

ISBN 10: 0387790195 ISBN 13: 9780387790190

Casa editrice: Springer Nature, 2012

Riassunto

Neuronal Noise combines experimental, theoretical and computational results to show how noise is inherent to neuronal activity, and how noise can be important for neuronal computations. The book covers many aspects of noise in neurons, with an emphasis on the largest source of noise: synaptic noise. It provides students and young researchers with an overview of the important methods and concepts that have emerged from research in this area. It also provides the specialist with a summary of the large body of sometimes contrasting experimental data, and different theories proposed to explore the computational power that various forms of "noise" can confer to neurons.

Su questo libro

Contenuti:

1 Introduction .- 2 Basics.- 3 Synaptic noise.- 4 Models of synaptic noise.- 5 Integrative properties in the presence of noise6 Recreating synaptic noise using dynamic-clamp.- 7 The mathematics of synaptic noise.- 8 Analyzing synaptic noise.- 9 Case studies.- 10 Conclusions and perspectives A Numerical integration of stochastic differential equations.- B Distributed Generator Algorithm.- C The Fokker-Planck formalism.- D The RT-NEURON interface for dynamic-clamp.- References.- Index.

Su questa edizione

• Editore: Springer Nature
• Data di pubblicazione: 2012
• ISBN 10: 0387790195
• ISBN 13: 9780387790190
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 458