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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
 
     
   

Under Development -- Provide Feedback                   


The mission of NeuroMAX.org is to provide the tools that the neuroscience community is asking for. What tools would you like to see developed? What analysis algorithms do you currently use that you’d like to see incorporated into NeuroMAX? We’d like to know!

So please send us an email at info@neuromax.org and tell us about your ideas, your field of research, and your impressions of NeuroMAX.

Or, feel free to call us at (805) 685-7770 to speak directly to someone involved with the NeuroMAX project.

The following is a list of tools that are currently under development for the NeuroMAX project:

QuantifyAccuracy:
Use a simulated data set as input to a spike sorting procedure and quantify the accuracy of your sorting by examining the miss and false alarm probabilities for each identified unit.

GozaniFilter:
Use the spike sorting technique described by Gozani and Miller (“Optimal discrimination and classification of neuronal action potential waveforms from multiunit, multichannel recordings using software-based linear filters.” IEEE Transactions on Biomedical Engineering 41(4):358-372). This technique has been shown to be able to resolve superpositions, especially in low noise environments.

SaveAsMClust:
This utility will allow you to save your data in a format that is compatible with MClust.

ImportFromMClust:
This utility will allow you to import data from MClust to a Neuroshare compatible format used by NeuroMAX.

 

 

 
   
       
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Last Updated: 28-Apr-2008