AIMC Topic: Computer Simulation

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Tonic regulation of stationary asynchronous firing of a neural network.

Journal of computational neuroscience
The impact of tonic conductance upon population activity was investigated. An extra tonic transmembrane current through GABA-activated extrasynaptic GABA -receptors was found to control stationary asynchronous firing both quantitatively and qualitat...

Synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded delays.

Neural networks : the official journal of the International Neural Network Society
In this paper, synchronization of stochastic reaction-diffusion neural networks with Dirichlet boundary conditions and unbounded discrete time-varying delays is investigated. By virtue of theories of partial differential equations, inequality methods...

A time series driven decomposed evolutionary optimization approach for reconstructing large-scale gene regulatory networks based on fuzzy cognitive maps.

BMC bioinformatics
BACKGROUND: Reconstructing gene regulatory networks (GRNs) from expression data plays an important role in understanding the fundamental cellular processes and revealing the underlying relations among genes. Although many algorithms have been propose...

Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval.

Neural networks : the official journal of the International Neural Network Society
Simulation and positioning are very important aspects of computer aided engineering. To process these two, we can apply traditional methods or intelligent techniques. The difference between them is in the way they process information. In the first ca...

Online cross-validation-based ensemble learning.

Statistics in medicine
Online estimators update a current estimate with a new incoming batch of data without having to revisit past data thereby providing streaming estimates that are scalable to big data. We develop flexible, ensemble-based online estimators of an infinit...

Fast Recall for Complex-Valued Hopfield Neural Networks with Projection Rules.

Computational intelligence and neuroscience
Many models of neural networks have been extended to complex-valued neural networks. A complex-valued Hopfield neural network (CHNN) is a complex-valued version of a Hopfield neural network. Complex-valued neurons can represent multistates, and CHNNs...

Robust stability analysis of quaternion-valued neural networks with time delays and parameter uncertainties.

Neural networks : the official journal of the International Neural Network Society
This paper addresses the problem of robust stability for quaternion-valued neural networks (QVNNs) with leakage delay, discrete delay and parameter uncertainties. Based on Homeomorphic mapping theorem and Lyapunov theorem, via modulus inequality tech...

In Silico Prediction of Chemicals Binding to Aromatase with Machine Learning Methods.

Chemical research in toxicology
Environmental chemicals may affect endocrine systems through multiple mechanisms, one of which is via effects on aromatase (also known as CYP19A1), an enzyme critical for maintaining the normal balance of estrogens and androgens in the body. Therefor...

Neural networks subtract and conquer.

eLife
Two theoretical studies reveal how networks of neurons may behave during reward-based learning.