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Keywords: Spike detection; Spike sorting; Spike train analysis; Extra-cellular recording; Tetrode; Electrophysiology; Multi-unit recording; Single-unit recording; Cluster analysis; Superposition resolution; MATLAB; Accuracy quantification; Object Oriented Programming;
Data simulation; Neuroshare Native
 
     
 

FAQ                    

NEUROMAX TOOLS

  1. Q.  How is NeuroMAX different from other analysis tools?
    A. The main difference between NeuroMAX and other spike sorting tools is our MATLAB toolbox approach. NeuroMAX contains a variety of algorithms for different approaches to spike detection, sorting, and analysis, so you can mix and match algorithms to find the appropriate combination for a particular data set. We do not consider that spike sorting or analysis is a solved problem. The toolbox is meant to be easily modified and expanded by the research community to serve as a platform for testing and disseminating new spike analysis algorithms. All code is available as MATLAB m-files that can be modified by the user when needed.

    Q. What NeuroMAX software tools are currently available?
    A. The NeuroMAX toolbox contains a base set of tools (algorithms) commonly used for the analysis of neuronal data. These tools are divided into 4 toolboxes: Spike Detection, Spike Sorting, Spike Train Analysis, and Display Tools. You can mix and match tools to find the appropriate combination for your particular data set. Click on Tools for details about available tools and for updates as new tools are added.

    Q. Can my analysis algorithm be incorporated into NeuroMAX?
    A. YES!! We’ll work with you to integrate your MATLAB program into the NeuroMAX toolbox. The next version of NeuroMAX will include your tool, allowing the neuroscience community to benefit from your efforts and knowledge. The neuromax.org website will also include notice of your tool’s incorporation into NeuroMAX, along with complete reference to you and your lab.

    Q. On what platform is NeuroMAX software written?
    A. NeuroMAX software, including the GUIs, is written in MATLAB (version R2006b or later). All the GUIs are compatible with MATLAB GUIDE. NeuroMAX is compatible with both Windows and Mac OS X.

    Q.  What data formats does NeuroMAX support?
    A.  NeuroMAX complies with the Neuroshare standards, as described in the Neuroshare website http://neuroshare.sourceforge.net/index.shtml. Data sharing is now a priority for research funded by the National Institutes of Health (NIH). In recent policy changes to promote sharing of data, the NIH now requires that all grants with direct costs greater than $500,000 specify a plan for sharing data acquired by the project. In the policy, the NIH states that: “Data should be made as widely and freely available as possible”. For details, go to http://grants.nih.gov/grants/policy/data_sharing/index.htm. In conjunction with these goals, NeuroMAX loads and saves data in Neuroshare Native (NsN) format, allowing import of data files from a variety of data acquisition systems. Data acquisition vendors who provide compliant Direct Link Libraries (DLLs) include:

        Alpha Omega
        Cambridge Electronic Design
        Cyberkinetics
        Nex Technologies
        Plexon
        R.C. Electronics
        Tucker-Davis Technologies

    Q. When can I purchase a copy of NeuroMAX?
    A. For a limited time, NeuroMAX is available free of charge to registered visitors and research collaborators. Click on Register to start the simple registration process.

    Beginning in February 2009, a one-time installation/setup fee* plus yearly maintenance fee will ensure that NeuroMAX can support the necessary staff for customer support, product maintenance, and expansion of the tool set.

        *Installation/Setup Fee: $300
         Maintenance Fee: $15/month or $120/year

    Register prior to January 30, 2009 and we will waive the installation/setup fee along with the first 3 months of maintenance fees!

 
         
 
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Last Updated: 08-Dec-2008