in this paper, a state-of-the-art neuron mathematical model of neural tensor network (ntn) is proposed to rdf knowledge base completion problem. one of the difficulties with the parameter of the network is that representation of its neuron mathematical model is not possible. for this reason, a new representation of this network is suggested that solves this difficulty. in the representation, th...

background: the interaction between serum neuron-specific enolase (nse), biogenic amino-acids and neurobehavioral function with blood lead levels in workers exposed to lead form lead-acid battery manufacturing process was not studied. objective: to evaluate serum nse and biogenic amino-acids (dopamine and serotonin) levels, and neurobehavioral performance among workers exposed to lead from lead...

background: the failure of regeneration after spinal cord injury (sci) has been attributed to axonal demyelination and neuronal death. cellular replacement and white matter regeneration are both necessary for sci repair. in this study, we evaluated the co-transplantation of olfactory ensheathing cells (oec) and embryonic stem (es) cell-derived motor neurons (esmn) on contused sci. methods: oec ...

This brief designs an artificial neuron circuit consisting of inductor and N-type locally active memristor (LAM). When the presented is excited by DC or sine voltage signal, it can pick up most significant features a biological neuron: all-or-none, spiking oscillation, chaotic behaviours. Local activity edge chaos theories are applied to analyze electrical characteristics circuit. Furthermore, ...

This paper addresses synchronizing two coupled chaotic FitzHugh–Nagumo (FHN) neurons with weakly gap junction under external electrical stimulation (EES). To transmit information among coupled neurons, by generalization of the integer-order FHN equations of the coupled system into the fractional-order in frequency domain using Crone approach, the behavior of each coupled neuron relies on its pa...

We study a modular neuron alternative to the McCulloch-Pitts neuron that arises naturally in analog devices in which the neuron inputs are represented as coherent oscillatory wave signals. Although the modular neuron can compute XOR at the one neuron level, it is still characterized by the same Vapnik-Chervonenkis dimension as the standard neuron. We give the formulas needed for constructing ne...

A neuron with binary inputs and a output represents Boolean function. Our goal is to extract this function into tractable representation that will facilitate the explanation formal verification of neuron's behavior. Unfortunately, extracting in general an NP-hard problem. However, it was recently shown prime implicants can be enumerated efficiently, only polynomial time delay. Building on resul...