AIMC Topic: Stochastic Processes

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Reachable Set Estimation for Markovian Jump Neural Networks With Time-Varying Delays.

IEEE transactions on cybernetics Nov 15, 2016
In this paper, the reachable set estimation problem is investigated for Markovian jump neural networks (NNs) with time-varying delays and bounded peak disturbances. Our goal is to find a set as small as possible which bounds all the state trajectorie...
Neural Networks, Computer Computer Simulation Models, Genetic Markov Chains Stochastic Processes Time Factors Gene Regulatory Networks
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Decentralized event-triggered synchronization of uncertain Markovian jumping neutral-type neural networks with mixed delays.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2016
In this study, we present an approach for the decentralized event-triggered synchronization of Markovian jumping neutral-type neural networks with mixed delays. We present a method for designing decentralized event-triggered synchronization, which on...
Uncertainty Markov Chains Stochastic Processes Algorithms Computer Simulation Neural Networks, Computer Time Factors
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Uncertainty Quantification of Oscillation Suppression During DBS in a Coupled Finite Element and Network Model.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 13, 2016
Models of the cortico-basal ganglia network and volume conductor models of the brain can provide insight into the mechanisms of action of deep brain stimulation (DBS). In this study, the coupling of a network model, under parkinsonian conditions, to ...
Animals Mice Models, Neurological Neural Networks, Computer Computer Simulation Deep Brain Stimulation Nonlinear Dynamics Cerebral Cortex Mice, Inbred C57BL Parkinson Disease Subthalamic Nucleus Uncertainty Electrodes, Implanted Stochastic Processes Basal Ganglia Finite Element Analysis
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DL-ADR: a novel deep learning model for classifying genomic variants into adverse drug reactions.

BMC medical genomics Aug 10, 2016
BACKGROUND: Genomic variations are associated with the metabolism and the occurrence of adverse reactions of many therapeutic agents. The polymorphisms on over 2000 locations of cytochrome P450 enzymes (CYP) due to many factors such as ethnicity, mut...
Algorithms Polymorphism, Single Nucleotide Drug-Related Side Effects and Adverse Reactions Stochastic Processes Models, Biological Humans Machine Learning
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Optimization for Service Routes of Pallet Service Center Based on the Pallet Pool Mode.

Computational intelligence and neuroscience Jul 26, 2016
Service routes optimization (SRO) of pallet service center should meet customers' demand firstly and then, through the reasonable method of lines organization, realize the shortest path of vehicle driving. The routes optimization of pallet service ce...
Models, Theoretical Stochastic Processes Humans Algorithms Neural Networks, Computer Computer Simulation Time Factors
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Statistical Performance Analysis of Data-Driven Neural Models.

International journal of neural systems Jun 9, 2016
Data-driven model-based analysis of electrophysiological data is an emerging technique for understanding the mechanisms of seizures. Model-based analysis enables tracking of hidden brain states that are represented by the dynamics of neural mass mode...
Membrane Potentials Stochastic Processes Uncertainty Humans Neural Networks, Computer Bayes Theorem Epilepsy Neurons Computer Simulation Algorithms Seizures Synapses Models, Neurological Brain Data Interpretation, Statistical
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Financial Time Series Prediction Using Elman Recurrent Random Neural Networks.

Computational intelligence and neuroscience May 18, 2016
In recent years, financial market dynamics forecasting has been a focus of economic research. To predict the price indices of stock markets, we developed an architecture which combined Elman recurrent neural networks with stochastic time effective fu...
Stochastic Processes Humans Neural Networks, Computer Algorithms Predictive Value of Tests Computer Simulation Models, Economic Time Factors Commerce
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Non-Hermitian localization in biological networks.

Physical review. E Apr 15, 2016
We explore the spectra and localization properties of the N-site banded one-dimensional non-Hermitian random matrices that arise naturally in sparse neural networks. Approximately equal numbers of random excitatory and inhibitory connections lead to ...
Neural Networks, Computer Stochastic Processes
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Passivity analysis of uncertain stochastic neural networks with time-varying delays and Markovian jumping parameters.

Network (Bristol, England) Mar 30, 2016
This paper investigates the problem of robust passivity of uncertain stochastic neural networks with time-varying delays and Markovian jumping parameters. To reflect most of the dynamical behaviors of the system, both parameter uncertainties and stoc...
Markov Chains Neural Networks, Computer Stochastic Processes Time Factors
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Low-dimensional dynamics of structured random networks.

Physical review. E Feb 5, 2016
Using a generalized random recurrent neural network model, and by extending our recently developed mean-field approach [J. Aljadeff, M. Stern, and T. Sharpee, Phys. Rev. Lett. 114, 088101 (2015)], we study the relationship between the network connect...
Ecological and Environmental Phenomena Neurons Synapses Neural Networks, Computer Stochastic Processes
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