Principles of computational modelling in neuroscience / (Record no. 84219)
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000 -LEADER | |
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fixed length control field | 02103nam a2200325 i 4500 |
001 - CONTROL NUMBER | |
control field | CR9780511975899 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240730160801.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 101011s2011||||enk o ||1 0|eng|d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9780511975899 (ebook) |
082 00 - CLASSIFICATION NUMBER | |
Call Number | 612.801/13 |
100 1# - AUTHOR NAME | |
Author | Sterratt, David, |
245 10 - TITLE STATEMENT | |
Title | Principles of computational modelling in neuroscience / |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (xi, 390 pages) : |
500 ## - GENERAL NOTE | |
Remark 1 | Title from publisher's bibliographic system (viewed on 05 Oct 2015). |
520 ## - SUMMARY, ETC. | |
Summary, etc | The nervous system is made up of a large number of interacting elements. To understand how such a complex system functions requires the construction and analysis of computational models at many different levels. This book provides a step-by-step account of how to model the neuron and neural circuitry to understand the nervous system at all levels, from ion channels to networks. Starting with a simple model of the neuron as an electrical circuit, gradually more details are added to include the effects of neuronal morphology, synapses, ion channels and intracellular signalling. The principle of abstraction is explained through chapters on simplifying models, and how simplified models can be used in networks. This theme is continued in a final chapter on modelling the development of the nervous system. Requiring an elementary background in neuroscience and some high school mathematics, this textbook is an ideal basis for a course on computational neuroscience. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1017/CBO9780511975899 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cambridge : |
-- | Cambridge University Press, |
-- | 2011. |
336 ## - | |
-- | text |
-- | txt |
-- | rdacontent |
337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
-- | cr |
-- | rdacarrier |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational neuroscience. |
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