NeuroExplorer 可以做离线的数据分析，或者也可以在线的与OmniPlex系统或MAP系统一起结合使用。

NeuroExplorer现在已经是第四代版本，可以提供最完整的一套Spike分析方法。研究者可以从多个角度分析连续的信号数据和神经元的数量。强大的内置的脚本语言，让许多分析工作的自动化，同时其开放式的分析环境，您可以使用其他程序来扩展其功能。

NeuroExplorer可以读取多种文件格式，包括许多流行的数据采集系统，文本文件，Excel®电子表格和MATLAB®创建的数据文件。为了帮助出示您的分析结果，NeuroExplorer创建完全可编辑，达到出版质量的表格和图表。

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连续信号分析：

· Correlations between spike trains and continuous signals

· Spike-triggered histograms and rasters

· Spectral analysis

· Perievent spectrograms

Analysis of populations of neurons神经元数量分析：

· 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

强大的内置的脚本语言

· 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

开放式的分析环境                              

· 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