Information processing in the hippocampus begins by transferring spiking activity of the entorhinal cortex (EC) into the dentate gyrus (DG). Activity pattern in the EC is separated by the DG such that it plays an important role in hippocampal functions including memory. The structural and physiological parameters of these neural networks enable the hippocampus to be efficient in encoding a large number of inputs that animals receive and process in their life time. The neural encoding capacity of the DG depends on its single neurons encoding and pattern separation efficiency. In this study, encoding by the DG is modeled such that single neurons and pattern separation efficiency are measured using simulations of different parameter values. For this purpose, a probabilistic model of single neurons efficiency is presented to study the role of structural and physiological parameters. Known neurons number of the EC and the DG is used to construct a neural network by electrophysiological features of granule cells of the DG. Separated inputs as activated neurons in the EC with different firing probabilities are presented into the DG. For different connectivity rates between the EC and DG, pattern separation efficiency of the DG is measured. The results show that in the absence of feedback inhibition on the DG neurons, the DG demonstrates low separation efficiency and high firing frequency. Feedback inhibition can increase separation efficiency while resulting in very low single neuron’s encoding efficiency in the DG and very low firing frequency of neurons in the DG (sparse spiking). This work presents a mechanistic explanation for experimental observations in the hippocampus, in combination with theoretical measures. Moreover, the model predicts a critical role for impaired inhibitory neurons in schizophrenia where deficiency in pattern separation of the DG has been observed.
Highlights d Post-translational SUMOylation critically protects sensory neuron function d SUMOylation regulates bioenergetic enzymes and controls toxic metabolites d SUMOylation functionally regulates the nociceptive ion channel TRPV1 d De-SUMOylation accelerates progression of diabetic neuropathy
Abstract-This paper presents a hybrid numerical approach combining an improved Time Domain Finite Element-Boundary Integral (FE-BI) method with Time Domain Physical Optics (TDPO) for calculations of electromagnetic scattering of 3-D combinativecomplex objects. For complex-combined objects containing a small size and large size parts, using TDPO is an appropriate approach for coupling between two regions. Therefore, our technique calculates the objects complexity with the help of FE-BI and the combinatory structures by using of the TDPO. The hybridization algorithm for restrictive object is implemented and the numerical results validate the superiority of the proposed algorithm via realistic electromagnetic applications.
AC loss is one of the important parameters in HTS (high temperature superconducting)
AC devices. Among the HTS AC power devices, the transformer is an essential part
in the electrical power system. The AC losses in an HTS tape depend on the
magnetic field. One of the techniques usually adopted to mitigate the unwanted
magnetic field is using a system of coils that produce a magnetic field opposite
to the incident one, reducing the total magnetic field. In this paper adding two
auxiliary windings to the HTS transformer to produce this opposite magnetic
field is proposed. The proper use of these auxiliary windings could reduce the
leakage flux and, therefore, the AC loss. A mathematical model is used to describe
the behaviour of a transformer operating with auxiliary windings, based on the
theory of electromagnetic coupled circuits. The influence of the auxiliary windings
on the leakage field is studied by the finite element method (FEM) and the AC
loss of an HTS transformer was calculated. Also, the simulation results show
that employing auxiliary windings will improve the HTS transformer efficiency.
Current injection transformer (CIT) systems are within the major group of the
standard type test of high current equipment in the electrical industry, so their
performance becomes very important. When designing high current systems, there
are many factors to be considered from which their overcurrent protection must
be ensured. The output of a CIT is wholly dependent on the impedance of the
equipment under test (EUT). Therefore current flow beyond the allowable limit can
occur. The present state of the art provides an important guide to developing
current limiters not only for the grid application but also in industrial equipment.
This paper reports the state of the art in the technology available that could be developed
into an application of superconductivity for high current equipment (CIT) protection with
no test disruption. This will result in a greater market choice and lower costs for equipment
protection solutions, reduced costs and improved system reliability. The paper will
also push the state of the art by using two distinctive circuits, closed-core and
open-core, for overcurrent protection of a 25 kA CIT system, based on a flux-lock-type
superconducting fault current limiter (SFCL) and magnetic properties of high
temperature superconducting (HTS) elements. An appropriate location of the HTS
element will enhance the rate of limitation with the help of the magnetic field
generated by the CIT output busbars. The calculation of the HTS parameters for
overcurrent limiting is also performed to suit the required current levels of the CIT.
Abstract-This paper proposes a hybrid methodology that combines an extended form of Finite-Deference Time-Domain (FDTD) method with Time Domain Physical Optics (TDPO) for analysis of 3-D scattering of combinative objects in complex electromagnetic compatibility (EMC) problems. Establishing a covariant formulation for FDTD, the extended algorithm introduces a parametric topology of accurate nonstandard schemes for the non-orthogonal div-curl problem and the suppression of lattice dispersion. For complex-combined objects including a small size (SS) and large size (LS) parts, using TDPO is an appropriate approach for coupling between two regions. Thus, our technique solves the EMC complexity with the help of higher order FDTD (HOFDTD) and the combinatory structures by using the TDPO. Numerical validation confirms the superiority of the proposed algorithm via realistic EMC applications.
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