Neuronal Noise

2012
ISBN: 978-0-387-79019-0
Verlag: Springer US

Buch, Englisch, Band 8, 458 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 875 g

Reihe: Springer Series in Computational Neuroscience

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.

Zielgruppe

Research

Autoren/Hrsg.

Rudolph-Lilith, Michelle

Destexhe, Alain

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Neurologie, Klinische Neurowissenschaft
• Sozialwissenschaften Psychologie Allgemeine Psychologie Biologische Psychologie, Neuropsychologie

Inhaltsverzeichnis

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.