ABSTRACT
Neural dynamics is defined by a system of first-order differential equations governing time evolutionary changes in node (neuron) activations. In general, a neural network consists of a learning rule that controls the changes in the connection weights and a topology of interconnected nodes that evaluate inputs and generate outputs for nodes in the next layer.
