Neural Spike counting application for a
client in Boston
This project involved measuring the quality of a neural network for a medical
research project at Harvard University, by performing measurements on the data
source generated using Discovery software generated from Wave Technology. The
data source generated a UFF file that contained the various records depicting
the properties and signal values generated by a neural network during a
particular experiment. The challenge was to develop a robust algorithm that
would go through the large UFF files so generated within a specified time and
generate the required outputs which had to be exported to Excel. This
application was successfully developed in C++.
Client feedback: Very professional. Very
responsive to requested changes.
Client technical support feedback: I received the
file and it works! It is the final version of the program. I am very very
grateful for your help. I did not imagine that you would have saved the program
after all this time. Many thanks.
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