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 backpropagation
learn_pc  performs the learning for a predictive coding network
infer_pc  performs the inference stage
