Computational systems neurobiology [electronic resource] / Nicolas Le Novère, editors.

Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students s...

Full description

Saved in:
Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Le Novère, Nicolas
Format: Electronic eBook
Language:English
Published: Dordrecht ; New York : Springer, ©2012.
Subjects:

MARC

LEADER 00000cam a2200000xa 4500
001 b7190982
006 m o d
007 cr |||||||||||
008 120726s2012 ne ob 001 0 eng d
005 20240418144257.2
019 |a 985035202  |a 990549170  |a 1005756285  |a 1026426555  |a 1110994364  |a 1204068146 
020 |a 9789400738584  |q (electronic bk.) 
020 |a 9400738587  |q (electronic bk.) 
020 |a 9400738579 
020 |a 9789400738577 
020 |a 9401783802 
020 |a 9789401783804 
020 |z 9789400738577 
024 7 |a 10.1007/978-94-007-3858-4 
035 |a (OCoLC)spr801808238 
035 |a (OCoLC)801808238  |z (OCoLC)985035202  |z (OCoLC)990549170  |z (OCoLC)1005756285  |z (OCoLC)1026426555  |z (OCoLC)1110994364  |z (OCoLC)1204068146 
037 |a spr978-94-007-3858-4 
040 |a GW5XE  |b eng  |e pn  |c GW5XE  |d YDXCP  |d ZMC  |d COO  |d E7B  |d EBLCP  |d OCLCQ  |d N$T  |d CDX  |d OCLCF  |d OCLCQ  |d DEBSZ  |d OCLCQ  |d TXI  |d OCLCQ  |d VT2  |d Z5A  |d LIP  |d VGM  |d MERER  |d OCLCO  |d ESU  |d OCLCQ  |d IOG  |d OCLCA  |d REB  |d CEF  |d OCLCQ  |d U3W  |d OCLCO  |d AU@  |d OCLCO  |d WYU  |d OCLCA  |d YOU  |d OCLCA  |d TKN  |d LEAUB  |d DKC  |d CNTRU  |d OCLCQ  |d UKAHL  |d OCLCQ  |d AJS  |d DCT  |d OCLCQ 
049 |a GWRE 
050 4 |a QH324.2  |b .C66 2012 
245 0 0 |a Computational systems neurobiology  |h [electronic resource] /  |c Nicolas Le Novère, editors. 
260 |a Dordrecht ;  |a New York :  |b Springer,  |c ©2012. 
300 |a 1 online resource. 
336 |a text  |b txt  |2 rdacontent. 
337 |a computer  |b c  |2 rdamedia. 
338 |a online resource  |b cr  |2 rdacarrier. 
347 |a text file. 
347 |b PDF. 
505 0 0 |t Functional Genomics and Molecular Networks Gene Expression Regulations in Complex Diseases: Down Syndrome as a Case Study /  |r Marie-Claude Potier and Isabelle Rivals --  |t Reconstructing Models from Proteomics Data /  |r Lysimachos Zografos, Andrew J. Pocklington and J. Douglas Armstrong --  |t Using Chemical Kinetics to Model Neuronal Signalling Pathways /  |r Lukas Endler, Melanie I. Stefan, Stuart J. Edelstein and Nicolas Le Novère --  |t Breakdown of Mass-Action Laws in Biochemical Computation /  |r Fidel Santamaria, Gabriela Antunes and Erik De Schutter --  |t Spatial Organization and Diffusion in Neuronal Signaling /  |r Sherry-Ann Brown, Raquell M. Holmes and Leslie M. Loew --  |t The Performance (and Limits) of Simple Neuron Models: Generalizations of the Leaky Integrate-and-Fire Model /  |r Richard Naud and Wulfram Gerstner --  |t Multi-compartmental Models of Neurons /  |r Upinder S. Bhalla --  |t Noise in Neurons and Other Constraints /  |r A. Aldo Faisal --  |t Methodological Issues in Modelling at Multiple Levels of Description /  |r Kevin Gurney and Mark Humphries --  |t Virtues, Pitfalls, and Methodology of Neuronal Network Modeling and Simulations on Supercomputers /  |r Anders Lansner and Markus Diesmann --  |t Co-operative Populations of Neurons: Mean Field Models of Mesoscopic Brain Activity /  |r David T.J. Liley, Brett L. Foster and Ingo Bojak --  |t Cellular Spacing: Analysis and Modelling of Retinal Mosaics /  |r Stephen J. Eglen --  |t Measuring and Modeling Morphology: How Dendrites Take Shape /  |r Todd A. Gillette and Giorgio A. Ascoli --  |t Axonal Growth and Targeting /  |r Duncan Mortimer, Hugh D. Simpson and Geoffrey J. Goodhill --  |t Encoding Neuronal Models in SBML /  |r Sarah M. Keating and Nicolas Le Novère --  |t NeuroML /  |r Padraig Gleeson, Volker Steuber, R. Angus Silver and Sharon Crook --  |t XPPAUT /  |r Bard Ermentrout --  |t NEST by Example: An Introduction to the Neural Simulation Tool NEST /  |r Marc-Oliver Gewaltig, Abigail Morrison and Hans Ekkehard Plesser. 
504 |a Includes bibliographical references and index. 
520 |a Computational neurosciences and systems biology are among the main domains of life science research where mathematical modeling made a difference. This book introduces the many different types of computational studies one can develop to study neuronal systems. It is aimed at undergraduate students starting their research in computational neurobiology or more senior researchers who would like, or need, to move towards computational approaches. Based on their specific project, the readers would then move to one of the more specialized excellent textbooks available in the field. ¡ The first part of the book deals with molecular systems biology. Functional genomics is introduced through examples of transcriptomics and proteomics studies of neurobiological interest. Quantitative modelling of biochemical systems is presented in homogeneous compartments and using spatial descriptions. A second part deals with the various approaches to model single neuron physiology, and naturally moves to neuronal networks. A division is focused on the development of neurons and neuronal systems and the book closes on a series of methodological chapters. From the molecules to the organ, thinking at the level of systems is transforming biology and its impact on society. This book will help the reader to hop on the train directly in the tank engine. 
546 |a English. 
650 0 |a Systems biology.  |0 http://id.loc.gov/authorities/subjects/sh2008002926. 
650 0 |a Bioinformatics.  |0 http://id.loc.gov/authorities/subjects/sh00003585. 
650 0 |a Neurobiology.  |0 http://id.loc.gov/authorities/subjects/sh85091114. 
650 7 |a Bioinformatics.  |2 fast  |0 (OCoLC)fst00832181. 
650 7 |a Neurobiology.  |2 fast  |0 (OCoLC)fst01036315. 
650 7 |a Systems biology.  |2 fast  |0 (OCoLC)fst01745552. 
700 1 |a Le Novère, Nicolas.  |0 http://id.loc.gov/authorities/names/nb2012025050  |1 http://isni.org/isni/0000000384629449. 
776 0 8 |i Print version:  |t Computational systems neurobiology.  |d Dordrecht ; New York : Springer, ©2012  |w (DLC) 2012943348. 
856 4 0 |u https://colorado.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-94-007-3858-4  |z Full Text (via Springer) 
907 |a .b71909825  |b 02-08-22  |c 09-28-12 
998 |a web  |b 11-30-21  |c b  |d b   |e -  |f eng  |g ne   |h 0  |i 1 
907 |a .b71909825  |b 12-01-21  |c 09-28-12 
944 |a MARS - RDA ENRICHED 
907 |a .b71909825  |b 11-30-21  |c 09-28-12 
907 |a .b71909825  |b 10-28-21  |c 09-28-12 
956 |b Springer Nature - Springer Biomedical and Life Sciences eBooks 2012 English International 
915 |a - 
956 |a Springer e-books 
956 |b Springer Nature - Springer Biomedical and Life Sciences eBooks 2012 English International 
999 f f |i 641818e6-1d63-55a5-9696-37faefe7076b  |s 13f1d1fc-3133-5af7-af08-db9fafae4d48 
952 f f |p Can circulate  |a University of Colorado Boulder  |b Online  |c Online  |d Online  |e QH324.2 .C66 2012  |h Library of Congress classification  |i Ebooks, Prospector  |n 1