NeuroMAX is not intended to be a “black
box” that takes in raw data and outputs spike times.
Instead, we have found that users fully recognize the complexities
of spike-sorting and multi-unit data analysis, and do not
necessarily want the details of this process hidden. In addition
to the
open implementation platform1 of the
NeuroMAX tools, users are encouraged to create new spike detection
or sorting algorithms that meet their specific requirements.
You can easily create a custom algorithm that will be your
unique way to visualize and understand a specific set of data.
NeuroMAX includes files, instructions, and examples that
aid in interaction with the data in an intuitive manner
when creating your own unique research tools. By combining
our proven tools and quantitative measurements with your
customized MATLAB routines, you can now produce the best,
most consistent spike-sorting results possible.
There are two steps to implementing the power and flexibility
of NeuroMAX:
1. Transform your unique algorithms to the NeuroMAX tool
format, to meet your specific research requirements. You’ll
store these new NeuroMAX tools in the appropriate NeuroMAX
toolbox: either Spike Detection,
Spike Sorting, Spike Train Analysis,
or Display Tools.
2. Create a chain of NeuroMAX tools, using standard tools
and/or your own custom tools.
To assist with transforming your MATLAB algorithms to a
NeuroMAX tool, we provide a simple yet powerful tutorial
and MATLAB .m files. The .m files contain all the structural
coding required in a NeuroMAX tool. The tutorial leads you
quickly and easily through the steps necessary to add your
algorithm to the standard code, resulting in a new NeuroMAX
tool.
The next steps link any combination of tools into a NeuroMAX
chain: detect events, sort the spikes, confirm the accuracy,
analyze the results, and display data in a professional
graphics presentation.
1Open implementation platform:
allows developers of a program to alter pieces of the underlying
software to fit their specific needs. Because we provide
the standard tools and structures, you don’t have
to start with a blank slate when creating a unique analysis
algorithm.