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Analysis of Parallel Spike Trains (Record no. 17243)

000 -LEADER
fixed length control field 05767nam a22004335i 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140310150233.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 100825s2010 xxu| s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441956750
978-1-4419-5675-0
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number RC321-580
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 612.8
Edition number 23
264 #1 -
-- Boston, MA :
-- Springer US,
-- 2010.
912 ## -
-- ZDB-2-SBL
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Grün, Sonja.
Relator term editor.
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE
Title Analysis of Parallel Spike Trains
Medium [electronic resource] /
Statement of responsibility, etc edited by Sonja Grün, Stefan Rotter.
300 ## - PHYSICAL DESCRIPTION
Extent XX, 444 p.
Other physical details online resource.
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer Series in Computational Neuroscience ;
Volume number/sequential designation 7
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basic spike train statistics: Point process models -- Stochastic Models of Spike Trains -- Estimating the Firing Rate -- Analysis and Interpretation of Interval and Count Variability in Neural Spike Trains -- Processing of Phase-Locked Spikes and Periodic Signals -- Pairwise comparison of spike trains -- Pair-Correlation in the Time and Frequency Domain -- Dependence of Spike-Count Correlations on Spike-Train Statistics and Observation Time Scale -- Spike Metrics -- Gravitational Clustering -- Multiple-neuron spike patterns -- Spatio-Temporal Patterns -- Unitary Event Analysis -- Information Geometry of Multiple Spike Trains -- Higher-Order Correlations and Cumulants -- Population-based approaches -- Information Theory and Systems Neuroscience -- Population Coding -- Stochastic Models for Multivariate Neural Point Processes: Collective Dynamics and Neural Decoding -- Practical issues -- Simulation of Stochastic Point Processes with Defined Properties -- Generation and Selection of Surrogate Methods for Correlation Analysis -- Bootstrap Tests of Hypotheses -- Generating Random Numbers -- Practically Trivial Parallel Data Processing in a Neuroscience Laboratory -- Erratum to: Population Coding.
520 ## - SUMMARY, ETC.
Summary, etc Action potentials, or spikes, are the most salient expression of neuronal processing in the active brain, and they are likely an important key to understanding the neuronal mechanisms of behavior. However, it is the group dynamics of large networks of neurons that is likely to underlie brain function, and this can only be appreciated if the action potentials from multiple individual nerve cells are observed simultaneously. Techniques that employ multi-electrodes for parallel spike train recordings have been available for many decades, and their use has gained wide popularity among neuroscientists. To reliably interpret the results of such electrophysiological experiments, solid and comprehensible data analysis is crucial. The development of data analysis methods, though, has not really kept pace with the advances in recording technology. Neither general concepts, nor statistical methodology seem adequate for the new experimental possibilities. Promising approaches are scattered across journal publications, and the relevant mathematical background literature is buried deep in journals of different fields. Compiling a useful reader for students or collaborators is both laborious and frustrating. This situation led us to gather state-of-the-art methodologies for analyzing parallel spike trains into a single book, which then might serve as a vantage point for current techniques and a launching point for future development. To our knowledge, this is the first textbook with an explicit focus on the subject. It contains 20 chapters, each of them written by selected experts in the field. About the Editors: Sonja Grün, born 1960, received her MSc (University of Tübingen and Max-Planck Institute for Biological Cybernetics) and PhD (University of Bochum, Weizmann Institute of Science in Rehovot) in physics (theoretical neuroscience), and her Habilitation (University of Freiburg) in neurobiology and biophysics. During her postdoc at the Hebrew University in Jerusalem, she performed multiple single-neuron recordings in behaving monkeys. Equipped with this experience she returned back to computational neuroscience to further develop analysis tools for multi-electrode recordings, first at the Max-Planck Institute for Brain Research in Frankfurt/Main and then as an assistant professor at the Freie Universität in Berlin associated with the local Bernstein Center for Computational Neuroscience. Since 2006 she has been unit leader for statistical neuroscience at the RIKEN Brain Science Institute in Wako-Shi, Japan. Her scientific work focuses on cooperative network dynamics relevant for brain function and behavior. Stefan Rotter, born 1961, holds a MSc in Mathematics, a PhD in Physics and a Habilitation in Biology. Since 2008, he has been Professor at the Faculty of Biology and the Bernstein Center Freiburg, a multidisciplinary research institution for Computational Neuroscience and Neurotechnology at Albert-Ludwig University Freiburg. His research is focused on the relations between structure, dynamics, and function in spiking networks of the brain. He combines neuronal network modeling and spike train analysis, often using stochastic point processes as a conceptual link.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Medicine.
Topical term or geographic name as entry element Neurosciences.
Topical term or geographic name as entry element Neurobiology.
Topical term or geographic name as entry element Biomedicine.
Topical term or geographic name as entry element Neurosciences.
Topical term or geographic name as entry element Neurobiology.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Rotter, Stefan.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441956743
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-5675-0
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type E-Book
Copies
Price effective from Permanent location Date last seen Not for loan Date acquired Source of classification or shelving scheme Koha item type Damaged status Lost status Withdrawn status Current location Full call number
2014-04-03AUM Main Library2014-04-03 2014-04-03 E-Book   AUM Main Library612.8

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