The directory contains the following Matlab functions:
example_code.m generates data for an XOR gate. Then trains a predictive coding network, as well as the equivalent MLP on the data.
f.m - calculates the an activation function.
f_b.m - calculates the an activation function as well as its derivitaive.
w_init.m - initialises a set of random weights, for a given network structure
(The following codes only accept one data point at a time)
test - makes a prediction for an ann/pc network + outputs rmse
rms_error - calculated rmse
learn_ann - performs back-propagation
learn_pc - performs the learning for a predictive coding network
infer_pc - performs the inference stage
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