NeuroExplorer現在已經是第四代版本，可以提供*完整的一套Spike分析方法。研究者可以從多個角度分析連續的信號數據和神經元的數量。強大的內置的腳本語言，讓許多分析工作的自動化，同時其開放式的分析環境，您可以使用其他程序來擴展其功能。
NeuroExplorer可以讀取多種文件格式，包括許多流行的數據采集系統，文本文件，Excel®電子表格和MATLAB®創建的數據文件。為了幫助出示您的分析結果，NeuroExplorer創建完全可編輯，達到出版質量的表格和圖表。
Spike train analyses Spike train 分析方法：
· Interspike interval histograms
· Rate histograms
· Perievent histograms
· Perievent rasters
· Autocorrelograms
· Crosscorrelograms with shift-predictors
· Joint peristimulus histograms
· Burst analysis
· Spectral densities and spectrograms
· Perievent histograms 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連續信號分析：
· Correlations between spike trains and continuous signals
· Spike-triggered histograms and rasters
· Spectral analysis
· Perievent spectrograms
Analysis of populations of neurons神經元數量分析：
· Principal component analysis
· Population PST histograms
· Spectral analysis
· 3D network activity animation
Fully editable publication-quality graphics
· 2D and 3D black-and-white and color graphs
· Unlimited number of graphs per figure
· Tables of graphs. (i.e., 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 (e.g., colors, fonts, tick sizes)
· Create lab books of your results in PowerPoint®
Powerful internal scripting language allows automation of many analysis tasks
強大的內置的腳本語言
· 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
Open analysis environment
開放式的分析環境
· 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 PowerPoint
