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The aim of the project is to make the reservoir computing methods easy to use and available for .net platform without dependency on external heterogeneous libraries. Two main reservoir computing methods are called Echo State Network (ESN) and Liquid State Machine (LSM). The implemented solution supports both of these methods. However, since both ESN and LSM are based on very similar principles, it is also possible to combine them. It is possible to connect analog and spiking neurons within one reservoir. It is also possible to define separate analog and spiking reservoirs and then use them at the same time. This approach, as I believe, opens up new interesting possibilities. This general implementation is called "State Machine" in the context of RCNet.
