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33 tools found in: Electrophysiology

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Name Rating Modification Date Maturity Downloads Image

PANDORA

Feb 27, 2014 Stable View all downloads
1051 downloads

Database analysis and visualization of simulated and recorded electrophysiological data..

Neuronvisio

Mar 07, 2013 Stable View all downloads

Neuronvisio is a Graphical User Interface for NEURON simulator enviroment..

SpAcAn

Aug 10, 2010 Stable View all downloads
180 downloads

SpAcAn (Spontaneous Activity Analysis) is a collection of IGOR Pro functions for the detection and analysis of spontaneously occurring (non-triggered) events in electrophysiological recordings, such as spikes and synaptic currents and potentials.

EEG/ERP Portal

Mar 13, 2013 Intermediate View all downloads

EEG/ERP portal enables community researchers to store, update, download and search data and metadata from EEG/ERP experiments..

sigTOOL

Jan 29, 2011 Intermediate View all downloads

sigTOOL provides a programming and analysis environment for processing electrophysiological data within MATLAB..

iCSD 2D

Mar 22, 2011 Intermediate View all downloads
228 downloads

MATLAB scripts and a GUI tool for two-dimensional inverse current source density analysis.

the TREES toolbox

Apr 01, 2011 Intermediate View all downloads

A Matlab toolbox to generate, edit, visualize and analyze neuronal structure.

Neo

Feb 02, 2012 Intermediate View all downloads
168 downloads

Neo is a package for representing electrophysiology data in Python, together with support for reading a wide range of neurophysiology file formats, including Spike2, NeuroExplorer, AlphaOmega, Axon, Blackrock, Plexon, Tdt, and support for writing to a subset of these formats plus non-proprietary formats including HDF5.

LCG

Dec 31, 2013 Intermediate View all downloads

LCG is a software suite for performing classical (voltage and current clamp) as well as closed loop and real time electrophysiological experiments.

kCSD

Jun 25, 2012 Intermediate View all downloads
185 downloads

The scripts implement the kCSD method described in the paper "Kernel Current Source Density Method" [Potworowski et al., Neural Computation (2012) 24, 541-575], for voltage data recorded using laminar (1D) or planar (2D) multielectrodes with arbitary distribution of contacts..

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