ANN is a Python class for time series prediction it is a family of mathematical models inspired by biological neural networks, wich are used to estimate or approximate functions that can't be estimate analytically.
The GUI is amazing -- super easy to use, very intuitive drop down menus and options. Great integration with real data from single unit recordings. Easy install, great demos, the overall layout is great. It's very interactive, troubleshooting and debugging is super easy to do.
What do you dislike?
It can run a bit slowly, I wish it allowed integration with python. It is relatively open-source, but working with the program from the back end is a bit clunky. I wish it looked a bit newer--the menu boxes and text looks a bit 1990s-ish
Recommendations to others considering the product:
What problems are you solving with the product? What benefits have you realized?
Neural modeling! It is great to model our potential experiments computationally before running them in vivo or in grown cells. It is also super easy to send our models to other groups, encouraging collaboration.
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