An algebraic interpretation of PSP composition.
The introduction of time in artificial neurons is a delicate problem on which many groups are working. Our approach combines some properties of biological models and the algebraic properties of McCulloch and Pitts artificial neuron (AN) (McCulloch and Pitts, 1943) to produce a new model which links both characteristics. In this extended artificial neuron, postsynaptic potentials (PSPs) are considered as numerical elements, having two degrees of freedom, on which the neuron computes operations. Modelled in this manner, a group of neurons can be seen as a computer with an asynchronous architecture. To formalize the functioning of this computer, we propose an algebra of impulses. This approach might also be interesting in the modelling of the passive electrical properties in some biological neurons.
Vaucher
G
G
Supélec, Signal Processing and Neural Networks Team, Cesson-Sévigné, France. Gilles.Vaucher@supelec.fr
D003712:Dendrites / Q000502:physiology; D019706:Excitatory Postsynaptic Potentials; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*