The discrete time dynamics of a neural network can be described by initial state, bias, and the weights of the influence between the nodes. This demand rate ugen simulates the bahavior for any number of nodes.
The implementation follows the paper: Frank Pasemann, Complex dynamics and the structure of small neural networks, Network: Comput. Neural Syst. 13 (2002) p. 195–216.
In the core, Dneuromodule implements the following formula:
As transfer function (sigma)
tanh is used.
Number of nodes that represent cells, which is also the number of output channels of the UGen.
Bias for each node. Should be an array on
Initial value of each node. Should be an array on