NeuroMatic is a collection of WaveMetrics Igor Pro software tools for acquiring, analyzing and simulating electrophysiological data. By merging a wide range of tools into a single package, NeuroMatic facilitates a more integrated style of research. Being open source and of modular design, NeuroMatic allows users to develop their own analysis functions that can be easily incorporated into NeuroMatic’s framework.

Available Tool Tabs: Main Stats Spike Event Fit Pulse Model Clamp Demo

Read NeuroMatic’s Frontiers Article

Browse citations of NeuroMatic

Visit NeuroMatic’s GitHub Repository

>> New stereology Keiding-model fit functions for estimating the 3D diameter distribution from the 2D diameter distribution.

Version 3.0 Features

data acquisition via NIDAQ or ITC devices
continous, episodic and triggered acquisition
online analysis during acquisition
import functions for Axograph, Pclamp (ABF) and HDF5 files
scaling, averaging, time-scale alignment
max, min, level, rise/decay time, slope measurements
stability/stationarity analysis
event detection
waveform template matching
spike detection and spike-raster plots
inter-spike-interval and peri-stimulus time histograms
curve fitting
waveform pulse generation
stoichastic synaptic release simulations
synaptic plasticity simulations
integrate-and-fire (IAF) simulations
single-compartment Hodgkin-Huxley-like simulations
compact easy-to-use interface
extra space for your own buttons and controls
modular design as a basis for your own functions
semi-automatic macro generation for batch processing
access to Igor’s extensive library of built-in functions
access to Igor’s publication-quality graphics
access to Igor’s detailed command history log
Igor runs on Macintosh and Windows computers

Citations

Please support NeuroMatic by citing the following Frontiers article:

Rothman JS and Silver RA. NeuroMatic: An Integrated Open-Source Software Toolkit for Acquisition, Analysis and Simulation of Electrophysiological Data. Front Neuroinform. 2018 Apr 4;12:14. doi: 10.3389/fninf.2018.00014.

Acknowledgements

Thanks to the many users for their helpful comments, especially former and present members of the The Silver Lab at UCL and the DiGregorio Lab at the Institut Pasteur.

Funding

Development of this software is currently made possible with funding from the Wellcome Trust and European Research Council, and was previously made possible with funding from the Medical Research Council, EU Synapse Project and WaveMetrics Igor Pro.