What Artificial Neural Network or 'Biological' Neural Network library/software do you use?
https://stackoverflow.com/questions/687439
italiano
english
français
española
中国
日本の
العربية
Deutsch
한국어
Português
RussianQuestion
What do you use?
Solution
There are a lot of different network simulators dependant on how detailed you want to do your sim, and what kind of network you want to simulate.
NEURON and GENESIS are good if you want to simulate full biological networks (Which I'm geussing you probably don't) even down to the behaviour of dendrites etc.
NEST and SPLIT and some others are good for doing population simulations where you create the population on a node-by-node basis and see what the whole population does. This is pretty much the 'industry' standard approach, and is used a lot in research and commercial applications, so there are worth looking into. I know that IBM use SPLIT for some of their research.
MIIND is good if you want to use differential equations to model what a population would do, but this approach is relatively new and computationally expensive (if very cool).
Not sure if that is exactly what you wanted!
(N.B. if you google any of the names in caps along with the word "simulator" you will end up at the relevant web page =)
OTHER TIPS
Fast Artificial Neural Network Library (FANN) is a free open source neural network library, which implements multilayer artificial neural networks in C with support for both fully connected and sparsely connected networks. Cross-platform execution in both fixed and floating point are supported. It includes a framework for easy handling of training data sets. It is easy to use, versatile, well documented, and fast. PHP, C++, .NET, Ada, Python, Delphi, Octave, Ruby, Prolog Pure Data and Mathematica bindings are available.
FannTool A graphical user interface is also available for the library.
Whenever I've wanted to play around with any data mining algorithm quickly, I just load up Weka. It's pretty complex but it implements a lot of algorithms (including neural networks) with a lot of customizability. Plus, it has some visualizations for NNs.
It is old, but I have always used NeuroShell 2 when not using my own code. Unfortunately, it is not free. I think The newer NeuroShells are designed only for predicting stocks.
If you're looking to experiment with deep learning, you should look into Theano Pylearn2 (which is based on Theano)
