International journal of colorectal disease
May 15, 2015
BACKGROUND: Previous research has yielded conflicting data as to whether the natural history of inflammatory bowel disease follows a seasonal pattern. The purpose of this study was (1) to determine whether the frequency of onset and relapse of inflam...
IEEE transactions on neural networks and learning systems
May 14, 2015
In this paper, a fractional-order recurrent neural network is proposed and several topics related to the dynamics of such a network are investigated, such as the stability, Hopf bifurcations, and undamped oscillations. The stability domain of the tri...
Neural network models of early sensory processing typically reduce the dimensionality of streaming input data. Such networks learn the principal subspace, in the sense of principal component analysis, by adjusting synaptic weights according to activi...
IEEE transactions on neural networks and learning systems
May 13, 2015
Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of engineering and clinical applications. However, because of high nonlinearity, the traditional mod...
Neural networks : the official journal of the International Neural Network Society
May 11, 2015
Memristive network exhibits state-dependent switching behaviors due to the physical properties of memristor, which is an ideal tool to mimic the functionalities of the human brain. In this paper, finite-time synchronization is considered for a class ...
IEEE transactions on neural networks and learning systems
May 8, 2015
This paper addresses the problem of exponential synchronization of neural networks with time-varying delays. A sampled-data controller with stochastically varying sampling intervals is considered. The novelty of this paper lies in the fact that the c...
Neural networks : the official journal of the International Neural Network Society
May 8, 2015
The multiple timescale recurrent neural network (MTRNN) model is a useful tool for recording and regenerating a continuous signal for dynamic tasks. However, our research shows that the MTRNN model is difficult to use for the classification of multip...
IEEE transactions on neural networks and learning systems
May 7, 2015
This paper presents a projection neural network described by a dynamic system for solving constrained quadratic minimax programming problems. Sufficient conditions based on a linear matrix inequality are provided for global convergence of the propose...
BACKGROUND: Profiling gene expression in brain structures at various spatial and temporal scales is essential to understanding how genes regulate the development of brain structures. The Allen Developing Mouse Brain Atlas provides high-resolution 3-D...
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