A novel neural model of cardiac action potential

This paper presents a novel neuron model for information processing in neural networks of the spike-neuron class. The model called hybrid biological neuron, HBN is trained to be an autonomous oscillator, thus is able to model cardiac action potentials and frequency of cardiac rhythmicity. The HBN is a new model that allows pulse trains to be interpreted on one hand as a logic function, and on the other hand as a continuous time system in which the pulse shape represents a second order modulation of the information not encoded in the patterns only. The HBN belongs to a spiking neuron class but models chemical synapses and considers the receptive field caused by the direct influence of other dendrites, specifically the ones that do not pass through the pre-synaptic filters.