AIMC Topic: Neurons

Clear Filters Showing 1151 to 1160 of 1395 articles

Lag Synchronization of Switched Neural Networks via Neural Activation Function and Applications in Image Encryption.

IEEE transactions on neural networks and learning systems Jan 14, 2015
This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the outp...
Color Neurons Nonlinear Dynamics Image Processing, Computer-Assisted Models, Statistical Neural Networks, Computer Algorithms
View on PubMed DOI

On the role of astroglial syncytia in self-repairing spiking neural networks.

IEEE transactions on neural networks and learning systems Jan 6, 2015
It has been shown that brain-like self-repair can arise from the interactions between neurons and astrocytes where endocannabinoids are synthesized and released from active neurons. This retrograde messenger feeds back to local synapses directly and ...
Astrocytes Neurons Models, Neurological Action Potentials Synapses Nerve Net Humans Neural Networks, Computer
View on PubMed DOI

Energy-to-peak state estimation for Markov jump RNNs with time-varying delays via nonsynchronous filter with nonstationary mode transitions.

IEEE transactions on neural networks and learning systems Jan 6, 2015
In this paper, the problem of energy-to-peak state estimation for a class of discrete-time Markov jump recurrent neural networks (RNNs) with randomly occurring nonlinearities (RONs) and time-varying delays is investigated. A practical phenomenon of n...
Markov Chains Nonlinear Dynamics Models, Neurological Neurons Computer Simulation Time Factors Humans Neural Networks, Computer Algorithms
View on PubMed DOI

Stochastic stability of delayed neural networks with local impulsive effects.

IEEE transactions on neural networks and learning systems Dec 25, 2014
In this paper, the stability problem is studied for a class of stochastic neural networks (NNs) with local impulsive effects. The impulsive effects considered can be not only nonidentical in different dimensions of the system state but also various a...
Nerve Net Stochastic Processes Humans Models, Neurological Neurons Neural Networks, Computer
View on PubMed DOI

Learning-regulated context relevant topographical map.

IEEE transactions on neural networks and learning systems Dec 24, 2014
Kohonen's self-organizing map (SOM) is used to map high-dimensional data into a low-dimensional representation (typically a 2-D or 3-D space) while preserving their topological characteristics. A major reason for its application is to be able to visu...
Humans Neural Networks, Computer Algorithms Cluster Analysis Models, Neurological Neurons Learning Time Factors
View on PubMed DOI

Inhibition facilitates direction selectivity in a noisy cortical environment.

Journal of computational neuroscience Nov 18, 2014
In a broad class of models, direction selectivity in primary visual cortical neurons arises from the linear summation of spatially offset and temporally lagged inputs combined with a spike threshold. Here, we characterize the robustness of this class...
Cerebral Cortex Photic Stimulation Neural Inhibition Noise Neurons Algorithms Models, Neurological Neural Networks, Computer
View on PubMed DOI

Passivity and Passification of Memristor-Based Recurrent Neural Networks With Additive Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 13, 2014
This paper presents a new design scheme for the passivity and passification of a class of memristor-based recurrent neural networks (MRNNs) with additive time-varying delays. The predictable assumptions on the boundedness and Lipschitz continuity of ...
Models, Neurological Reaction Time Algorithms Time Factors Neurons Memory Humans Neural Networks, Computer
View on PubMed DOI

Further improvement on delay-dependent robust stability criteria for neutral-type recurrent neural networks with time-varying delays.

ISA transactions Nov 8, 2014
This paper is concerned with the problem of improved delay-dependent robust stability criteria for neutral-type recurrent neural networks (NRNNs) with time-varying delays. Combining the Lyapunov-Krasovskii functional with linear matrix inequality (LM...
Neurons Nonlinear Dynamics Feedback, Physiological Nerve Net Computer Simulation Animals Models, Neurological Humans Neural Networks, Computer
View on PubMed DOI

Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays.

IEEE transactions on neural networks and learning systems Nov 7, 2014
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as i...
Humans Neural Networks, Computer Algorithms Memory Neurons Nonlinear Dynamics Computer Simulation Time Factors
View on PubMed DOI

Spiking neural P systems with rules on synapses working in maximum spikes consumption strategy.

IEEE transactions on nanobioscience Nov 6, 2014
Spiking neural P systems (SN P systems, for short) are a class of parallel and distributed computation models inspired from the way the neurons process and communicate information by means of spikes. In this paper, we consider a new variant of SN P s...
Neurons Synapses Neural Networks, Computer
View on PubMed DOI
Popular Topics
Recent Journals