A Novel Hardware-Oriented Recurrent Network of Asynchronous CA Neurons for a Neural Integrator

In this brief, a recurrent network was derived for a neural integrator (NI) described by an ordinary differential equation (ODE) that can be solved with fewer computational resources. Subsequently, based on the reduced ODE model, a hardware-oriented recurrent network model was proposed for a NI consisting of asynchronous cellular automaton (CA) neurons. The proposed model, reduced ODE model, and the previously proposed NI model were implemented on a field-programmable gate array. Analysis results suggest that the proposed model consumes fewer hardware resources and lower power than those of the reduced ODE model and the previously proposed NI model.