English
 
User Manual Privacy Policy Disclaimer Contact us
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Electrophysiology Analysis, Bayesian

Macke, J. (2014). Electrophysiology Analysis, Bayesian. In D. Jaeger R. Jung (Ed.), Encyclopedia of Computational Neuroscience (pp. 1-5). New York, NY, USA: Springer.

Item is

Basic

show hide
Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0027-80CE-2 Version Permalink: http://hdl.handle.net/21.11116/0000-0000-FDAD-1
Genre: Book Chapter

Files

show Files

Locators

show
hide
Locator:
Link (Any fulltext)
Description:
-

Creators

show
hide
 Creators:
Macke, JH1, 2, Author              
Affiliations:
1Research Group Computational Vision and Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497805              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

Content

show
hide
Free keywords: -
 Abstract: Bayesian analysis of electrophysiological data refers to the statistical processing of data obtained in electrophysiological experiments (i.e., recordings of action potentials or voltage measurements with electrodes or imaging devices) which utilize methods from Bayesian statistics. Bayesian statistics is a framework for describing and modelling empirical data using the mathematical language of probability to model uncertainty. Bayesian statistics provides a principled and flexible framework for combining empirical observations with prior knowledge and for quantifying uncertainty. These features are especially useful for analysis questions in which the dataset sizes are small in comparison to the complexity of the model, which is often the case in neurophysiological data analysis.

Details

show
hide
Language(s):
 Dates: 2014-03
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/978-1-4614-7320-6_448-1
BibTex Citekey: Macke2014
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Encyclopedia of Computational Neuroscience
Source Genre: Book
 Creator(s):
Jaeger R. Jung, D., Editor
Affiliations:
-
Publ. Info: New York, NY, USA : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1 - 5 Identifier: ISBN: 978-1-4614-7320-6