Simulation of Logic Circuits Using Bursting Neuron Models

A neuron can be perceived as analog circuit in terms of voltage-time characteristics. Sometimes, at function level, it can be rather considered a logic circuit. This later approach is not so indefensible because the neuron membrane always works between two voltage levels, immediately associated by a binary logic. These levels are changing at a certain group of pulses on its exciting or inhibiting input synapses. Being hard to describe exactly the neural calculus processes inside the human brain we create some models able to mimic these processes. In this paper we proposed some neuronal models able to implement logic gates. The envelope signal shelters the pulses train that stimulate any neuron, and this envelope signal ensure the digital function, as a main element of originality.