AIMC Topic: Neural Networks, Computer

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Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the periodic synchronization problem for a general class of delayed neural networks (DNNs) with discontinuous neuron activation. One of the purposes is to analyze the problem of periodic orbits. To do so, we introduce new...

Global asymptotical ω-periodicity of a fractional-order non-autonomous neural networks.

Neural networks : the official journal of the International Neural Network Society
We study the global asymptotic ω-periodicity for a fractional-order non-autonomous neural networks. Firstly, based on the Caputo fractional-order derivative it is shown that ω-periodic or autonomous fractional-order neural networks cannot generate ex...

Securing mobile ad hoc networks using danger theory-based artificial immune algorithm.

PloS one
A mobile ad hoc network (MANET) is a set of mobile, decentralized, and self-organizing nodes that are used in special cases, such as in the military. MANET properties render the environment of this network vulnerable to different types of attacks, in...

Multistability in a class of stochastic delayed Hopfield neural networks.

Neural networks : the official journal of the International Neural Network Society
In this paper, multistability analysis for a class of stochastic delayed Hopfield neural networks is investigated. By considering the geometrical configuration of activation functions, the state space is divided into 2(n) + 1 regions in which 2(n) re...

A realistic bi-hemispheric model of the cerebellum uncovers the purpose of the abundant granule cells during motor control.

Frontiers in neural circuits
The cerebellar granule cells (GCs) have been proposed to perform lossless, adaptive spatio-temporal coding of incoming sensory/motor information required by downstream cerebellar circuits to support motor learning, motor coordination, and cognition. ...

A neural network-based optimal spatial filter design method for motor imagery classification.

PloS one
In this study, a novel spatial filter design method is introduced. Spatial filtering is an important processing step for feature extraction in motor imagery-based brain-computer interfaces. This paper introduces a new motor imagery signal classificat...

Set selection dynamical system neural networks with partial memories, with applications to Sudoku and KenKen puzzles.

Neural networks : the official journal of the International Neural Network Society
After reviewing set selection and memory model dynamical system neural networks, we introduce a neural network model that combines set selection with partial memories (stored memories on subsets of states in the network). We establish that feasible e...

Input strategy analysis for an air quality data modelling procedure at a local scale based on neural network.

Environmental monitoring and assessment
In recent years, a significant part of the studies on air pollutants has been devoted to improve statistical techniques for forecasting the values of their concentrations in the atmosphere. Reliable predictions of pollutant trends are essential not o...