Features
Analysis
The most complete set of spike train analyses:
- Interspike interval histograms
- Rate histograms
- Perivent histograms
- Perievent rasters
- Autocorrelograms
- Crosscorrelograms with shift-predictors
- Joint peristimulus histograms
- Burst analysis
- Spectral densities and spectrograms
- Perievent histgorams versus time
- Place cell analysis
- Cumulative activity
- Instantaneous frequency
- Interspike intervals versus time
- Poincare maps of interspike intervals
- Epoch counts
- Coherence analysis
Analysis of continuously recorded signals:
- Correlations between spike trains and continuous signals
- Spike-triggered histograms and rasters
- Spectral analysis
- Perievent spectrograms
Analysis of populations of neurons:
- Principal component analysis
- Population PST histograms
- Spectral analysis
- 3D network activity animation
Data Import
NeuroExplorer can read native data files created by popular data acquisition systems:
- AD Instruments
- Alpha Omega
- Blackrock Microsystems
- CED Spike-2
- Cortex
- Datawave
- Multi Channel Systems
- Neuralynx
- Plexon
- Tucker-Davis Technologies
- RC Electronics
NeuroExplorer can also import data from text files and get the data from Matlab and Excel.
Graphics
NeuroExplorer creates fully editable publication-quality figures:
- 2D and 3D black-and-white and color graphs
- Unlimited number of graphs per figure
- Tables of graphs. Example: all pairwise correlations within a group of neurons
- Completely customizable figure elements: colors, fonts, tick sizes, etc.
- Single-page and multi-page printing
- Export of graphics to other applications via the clipboard, Windows metafiles and bitmaps
- Completely customizable figure elements: colors, fonts, tick sizes, etc.
- Create lab books of your results in Power Point.
Numerical Results
Two numerical results tables (Results and Summary) are produced for every analysis. The Results table contains:
- Bin location
- Bin counts/frequencies/probabilities
- Shift-predictor values and confidence limits for crosscorrelogram analyses
- Joint PST matrix for Joint PSTH analysis
- Other analysis-specific results
The Summary table contains:
- The number of spikes used in analysis
- Minimum, maximum, mean, standard deviation and standard error of mean of the histogram
- Expected values and the confidence limits for the PST and crosscorrelogram analyses
- Other analysis-specific statistics
NeuroExplorer can transfer the data from results tables to Excel or Matlab.
Trial-Based Data Analysis
NeuroExplorer provides extensive support for the analysis of the trial-based experiments:
- Trials of variable duration are supported
- Trials can be selected using the trial list
- Trials can be tagged according to various criteria. Example: tag the trials that contain the correct response.
- Analysis can be performed using all data or only the data from the specified trial set
- Several trial sets can be used in one analysis. Example: calculate crosscorrelograms for the correct-response trials and the incorrect-response trials and display them side-by-side or overlaid
Internal Scripting
A powerful built-in scripting language allows for the automation of many analysis tasks:
- Open and close data files
- Select data for analysis
- Specify analysis parameters
- Specify graphics options
- Apply analysis templates
- Save results as a text file
- Send data and results to Excel
- Send data and results to Matlab
- Execute Matlab scripts
- Modify existing spike trains and other data
- Create new events and spike trains
- Read and write text files
Working with Other Applications
NeuroExplorer is designed as an open analysis environment. You can use other programs to extend the capabilities of NeuroExplorer:
- Copy data to Excel, edit the data in Excel and paste it back to NeuroExplorer
- Generate data in Matlab and transfer it to NeuroExplorer
- Copy numerical results to Excel or Matlab for additional analysis
- Execute Matlab scripts from NeuroExplorer for additional processing
- Create a lab book of your results in Power Point
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