Encoding layer

The EncodingLayer class wraps all the encoding process, involving the conversion of the continuous input signals. It’s main constituents are:

• Generator – consists of a NEST generator device (e.g. spike_generator, step_current_generator, inh_poisson_generator). Note that in the parameter specifications, N refers to the number of unique devices in the setup not the number of devices of a certain type (this is later acquired by the dimensionality of the input signal to be encoded - 1 unique generator device per input dimension)
• Encoder – consists of a Population object containing a layer of spiking neurons or some other mechanism that converts the continuous input into spike trains to be fed to the network