AIMC Topic: Nonlinear Dynamics

Clear Filters Showing 451 to 460 of 759 articles

Improved Perceptual Learning by Control of Extracellular GABA Concentration by Astrocytic Gap Junctions.

Neural computation Oct 24, 2017
Learning of sensory cues is believed to rely on synchronous pre- and postsynaptic neuronal firing. Evidence is mounting that such synchronicity is not merely caused by properties of the underlying neuronal network but could also depend on the integri...
Membrane Potentials GABA Plasma Membrane Transport Proteins Perception Neural Networks, Computer Extracellular Fluid Learning gamma-Aminobutyric Acid Astrocytes Animals Nerve Net Models, Neurological Neurons Gap Junctions Nonlinear Dynamics
View on PubMed DOI

Predictive Coding for Dynamic Visual Processing: Development of Functional Hierarchy in a Multiple Spatiotemporal Scales RNN Model.

Neural computation Oct 24, 2017
This letter proposes a novel predictive coding type neural network model, the predictive multiple spatiotemporal scales recurrent neural network (P-MSTRNN). The P-MSTRNN learns to predict visually perceived human whole-body cyclic movement patterns b...
Nonlinear Dynamics Memory Movement Visual Perception Neural Networks, Computer Visual Pathways Algorithms Learning Predictive Value of Tests Humans
View on PubMed DOI

Mechanism-Based and Input-Output Modeling of the Key Neuronal Connections and Signal Transformations in the CA3-CA1 Regions of the Hippocampus.

Neural computation Oct 24, 2017
This letter examines the results of input-output (nonparametric) modeling based on the analysis of data generated by a mechanism-based (parametric) model of CA3-CA1 neuronal connections in the hippocampus. The motivation is to obtain biological insig...
Synapses Receptors, N-Methyl-D-Aspartate CA1 Region, Hippocampal CA3 Region, Hippocampal Models, Neurological Action Potentials Neurons Nonlinear Dynamics Receptors, GABA Neural Inhibition Humans Neural Networks, Computer Animals
View on PubMed DOI

Stacked Autoencoders for Outlier Detection in Over-the-Horizon Radar Signals.

Computational intelligence and neuroscience Oct 23, 2017
Detection of outliers in radar signals is a considerable challenge in maritime surveillance applications. High-Frequency Surface-Wave (HFSW) radars have attracted significant interest as potential tools for long-range target identification and outlie...
Machine Learning Signal Processing, Computer-Assisted Algorithms Humans Nonlinear Dynamics Signal-To-Noise Ratio Wind Radar Cluster Analysis
View on PubMed DOI

Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Artificial intelligence in medicine Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
Machine Learning Decision Support Techniques Computer Simulation Length of Stay Humans Neural Networks, Computer Health Services Needs and Demand Patient Admission Patient Care Team Needs Assessment Delivery of Health Care, Integrated Hospitals, Teaching Patient Discharge Efficiency, Organizational Nonlinear Dynamics Time Factors Decision Support Systems, Management Emergency Service, Hospital Workflow
View on PubMed DOI

Development of a partial least squares-artificial neural network (PLS-ANN) hybrid model for the prediction of consumer liking scores of ready-to-drink green tea beverages.

Food research international (Ottawa, Ont.) Oct 13, 2017
In order to develop products that would be preferred by consumers, the effects of the chemical compositions of ready-to-drink green tea beverages on consumer liking were studied through regression analyses. Green tea model systems were prepared by do...
Olfactory Perception Taste Perception Young Adult Tea Humans Taste Adult Least-Squares Analysis Consumer Behavior Neural Networks, Computer Adolescent Odorants Linear Models Machine Learning Food Analysis Nonlinear Dynamics Smell
View on PubMed DOI

Modular representation of layered neural networks.

Neural networks : the official journal of the International Neural Network Society Oct 12, 2017
Layered neural networks have greatly improved the performance of various applications including image processing, speech recognition, natural language processing, and bioinformatics. However, it is still difficult to discover or interpret knowledge f...
Neural Networks, Computer Machine Learning Image Processing, Computer-Assisted Algorithms Computational Biology Cluster Analysis Nonlinear Dynamics
View on PubMed DOI

Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures.

Computers in biology and medicine Oct 6, 2017
Alzheimer's disease (AD) has been not only a substantial financial burden to the health care system but also an emotional burden to patients and their families. Making accurate diagnosis of AD based on brain magnetic resonance imaging (MRI) is becomi...
Humans Artificial Intelligence Alzheimer Disease Nonlinear Dynamics Image Interpretation, Computer-Assisted Neuroimaging Algorithms Brain Cognitive Dysfunction Magnetic Resonance Imaging
View on PubMed DOI

SNAVA-A real-time multi-FPGA multi-model spiking neural network simulation architecture.

Neural networks : the official journal of the International Neural Network Society Oct 5, 2017
Spiking Neural Networks (SNN) for Versatile Applications (SNAVA) simulation platform is a scalable and programmable parallel architecture that supports real-time, large-scale, multi-model SNN computation. This parallel architecture is implemented in ...
Nonlinear Dynamics Synapses Algorithms Computational Biology Neural Networks, Computer Cluster Analysis Machine Learning Neurons
View on PubMed DOI

Detection of Interictal Discharges With Convolutional Neural Networks Using Discrete Ordered Multichannel Intracranial EEG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 22, 2017
Detection algorithms for electroencephalography (EEG) data, especially in the field of interictal epileptiform discharge (IED) detection, have traditionally employed handcrafted features, which utilized specific characteristics of neural responses. A...
Humans Nonlinear Dynamics Neural Networks, Computer Epilepsy, Temporal Lobe Machine Learning Algorithms Electrocorticography Telemetry Electrodes, Implanted Female Adult Reproducibility of Results Male Young Adult Adolescent Seizures
View on PubMed DOI
Popular Topics
Recent Journals