Stimfit: quantifying electrophysiological data with Python

Stimfit: quantifying electrophysiological data with Python

Intracellular electrophysiological recordings provide crucial insights into elementary neuronal signals such as action potentials and synaptic currents. Analyzing and interpreting these signals is essential for a quantitative understanding of neuronal information processing, and requires both fast d...

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Bibliographic Details
Main Authors: Segundo Jose Guzman, Alois eSchlögl, Christoph eSchmidt-Hieber
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-02-01
Series:Frontiers in Neuroinformatics
Subjects:
Electrophysiology
Synaptic Transmission
data analysis
patch-clamp
python
C++
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00016/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fninf.2014.00016/full

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