Neuronal Noise Paperback / softback
by Alain Destexhe, Michelle Rudolph-Lilith
Part of the Springer Series in Computational Neuroscience series
Paperback / softback
Description
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.
Information
-
Item not Available
- Format:Paperback / softback
- Pages:458 pages, XVIII, 458 p.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:23/02/2014
- Category:
- ISBN:9781489990297
Other Formats
- Hardback from £171.75
- PDF from £152.58
Information
-
Item not Available
- Format:Paperback / softback
- Pages:458 pages, XVIII, 458 p.
- Publisher:Springer-Verlag New York Inc.
- Publication Date:23/02/2014
- Category:
- ISBN:9781489990297
