Computational Neuroscience
A Comprehensive Approach
Published on 20. October 2003
656 pages
978-1-135-44046-6 (ISBN)
Description
How does the brain work? After a century of research, we still lack a coherent view of how neurons process signals and control our activities. But as the field of computational neuroscience continues to evolve, we find that it provides a theoretical foundation and a set of technological approaches that can significantly enhance our understanding.
Reviews / Votes
"It is recommended for researchers and graduate students who want to enter the field or to acquire some knowledge on the current state of modeling for getting new research directions...the reader can use this book as a good and concise instrument for finding new perspectives for research."- Mathematical Reviews, 2005h
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
Professional and scholarly
Mathematicians, physicists, engineers, electrophysicists, and systems neuroscientists
Illustrations
171 s/w Abbildungen, 3 s/w Tabellen, 17 s/w Photographien bzw. Rasterbilder
171 b/w images, 3 tables, 17 halftones and 1000 equations
File size
12,94 MB
ISBN-13
978-1-135-44046-6 (9781135440466)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Book
10/2003
1st Edition
Chapman & Hall/CRC
€282.26
Withdrawn from sale
Content
Signal Channel Activity. Calcium Signalling: Biology. Calcium Signalling: Modeling. Beyond Ion Channel. Cell Physiology. Multi-Compartment Models. From Ion Channels to Single Cell. Impact of Correlated Inputs. A Novel Mechanism for Ultrafast Neuronal Communication. Working Memory. Information Processing in Somatosensory Cortex. Learning in Time Domain. Discrimination Tasks: A Biology Approach. Discrimination Tasks: A Modeling Approach. Function Role of Inhibitory Interactions. Attention. Learning and Memory. Ant Nevigation. Spatial-Temporal Patterns in Neuronal Systems.
