AIMC Topic: Neurons

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Optimizing NEURON Simulation Environment Using Remote Memory Access with Recursive Doubling on Distributed Memory Systems.

Computational intelligence and neuroscience Jun 20, 2016
Increase in complexity of neuronal network models escalated the efforts to make NEURON simulation environment efficient. The computational neuroscientists divided the equations into subnets amongst multiple processors for achieving better hardware pe...
Neurons Algorithms Memory, Long-Term Humans Computer Communication Networks Computer Simulation Neural Networks, Computer Models, Neurological
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Unsupervised neural spike sorting for high-density microelectrode arrays with convolutive independent component analysis.

Journal of neuroscience methods Jun 15, 2016
BACKGROUND: Unsupervised identification of action potentials in multi-channel extracellular recordings, in particular from high-density microelectrode arrays with thousands of sensors, is an unresolved problem. While independent component analysis (I...
Neurons Artifacts Computer Simulation Microelectrodes Animals Rabbits Retina Models, Theoretical Action Potentials Unsupervised Machine Learning
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Classification of adult human dentate nucleus border neurons: Artificial neural networks and multidimensional approach.

Journal of theoretical biology Jun 15, 2016
AIMS: Primary aim in this study is to investigate whether external and internal border neurons of adult human dentate nucleus express the same neuromorphological features or belong to a different morphological types i.e. whether can be classified not...
Humans Neural Networks, Computer Principal Component Analysis Neurons Dendrites Cerebellar Nuclei Adult Cluster Analysis
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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...
Uncertainty Membrane Potentials Bayes Theorem Epilepsy Seizures Neurons Synapses Computer Simulation Humans Stochastic Processes Models, Neurological Neural Networks, Computer Data Interpretation, Statistical Algorithms Brain
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Neural Net Gains Estimation Based on an Equivalent Model.

Computational intelligence and neuroscience Jun 5, 2016
A model of an Equivalent Artificial Neural Net (EANN) describes the gains set, viewed as parameters in a layer, and this consideration is a reproducible process, applicable to a neuron in a neural net (NN). The EANN helps to estimate the NN gains or ...
Models, Neurological Neurons Nerve Net Algorithms Humans Fuzzy Logic Neural Networks, Computer
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Metric hashing forests.

Medical image analysis Jun 3, 2016
In this paper, we propose metric Hashing Forests (mHF) which is a supervised variant of random forests tailored for the task of nearest neighbor retrieval through hashing. This is achieved by training independent hashing trees that parse and encode t...
Humans Machine Learning Databases, Factual Archives Reproducibility of Results Sensitivity and Specificity Neurons
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Extended dissipative state estimation for memristive neural networks with time-varying delay.

ISA transactions Jun 2, 2016
This paper investigates the problem of extended dissipative state estimation for memristor-based neural networks (MNNs) with time-varying delay. Based on both nonsmooth analysis and the construction of a new Lyapunov-Krasovskii functional, the extend...
Neurons Nonlinear Dynamics Memory Neural Networks, Computer Algorithms Computer Simulation
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New results on anti-synchronization of switched neural networks with time-varying delays and lag signals.

Neural networks : the official journal of the International Neural Network Society May 30, 2016
This paper investigates the problem of global exponential anti-synchronization of a class of switched neural networks with time-varying delays and lag signals. Considering the packed circuits, the controller is dependent on the output of the system a...
Computer Security Time Factors Neurons Nonlinear Dynamics Neural Networks, Computer Algorithms Computer Simulation
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Analytically tractable studies of traveling waves of activity in integrate-and-fire neural networks.

Physical review. E May 27, 2016
In contrast to other large-scale network models for propagation of electrical activity in neural tissue that have no analytical solutions for their dynamics, we show that for a specific class of integrate and fire neural networks the acceleration dep...
Neural Networks, Computer Action Potentials Time Factors Neurons Models, Neurological
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A neural model of the frontal eye fields with reward-based learning.

Neural networks : the official journal of the International Neural Network Society May 24, 2016
Decision-making is a flexible process dependent on the accumulation of various kinds of information; however, the corresponding neural mechanisms are far from clear. We extended a layered model of the frontal eye field to a learning-based model, usin...
Humans Neural Networks, Computer Machine Learning Animals Decision Making Frontal Lobe Reward Choice Behavior Saccades Reaction Time Psychomotor Performance Neurons Orientation Visual Fields
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