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 Art Pulse Model Clamp Demo

Learn The Basics

Read NeuroMatic’s article in Frontiers in Neuroinformatics

Browse a list of NeuroMatic citations

Visit NeuroMatic’s GitHub Repository

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 University of Colorado School of Medicine.

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.