AIMC Topic: Nerve Net

Clear Filters Showing 451 to 460 of 553 articles

Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

PloS one Apr 17, 2015
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain...
Nerve Net Case-Control Studies Head Movements Support Vector Machine Sensitivity and Specificity Early Diagnosis Cerebral Cortex Magnetic Resonance Imaging Male Connectome Parkinson Disease Middle Aged Discriminant Analysis Humans Cerebellum Female Aged
View on PubMed DOI

Uncovering phase-coupled oscillatory networks in electrophysiological data.

Human brain mapping Apr 12, 2015
Phase consistent neuronal oscillations are ubiquitous in electrophysiological recordings, and they may reflect networks of phase-coupled neuronal populations oscillating at different frequencies. Because neuronal oscillations may reflect rhythmic mod...
Electrocorticography Electroencephalography Phase Synchronization Models, Neurological Brain Waves Humans Nerve Net Neural Networks, Computer
View on PubMed DOI

Measuring predictability of autonomous network transitions into bursting dynamics.

PloS one Apr 9, 2015
Understanding spontaneous transitions between dynamical modes in a network is of significant importance. These transitions may separate pathological and normal functions of the brain. In this paper, we develop a set of measures that, based on spatio-...
Humans Action Potentials Neurons Neural Networks, Computer Brain Computer Simulation Nerve Net
View on PubMed DOI

Supervised dictionary learning for inferring concurrent brain networks.

IEEE transactions on medical imaging Apr 1, 2015
Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model (GLM) has been a dominant approach to detect task-evoked networks. However, G...
Humans Magnetic Resonance Imaging Linear Models Connectome Machine Learning Nerve Net Algorithms Brain
View on PubMed DOI

DL-ReSuMe: A Delay Learning-Based Remote Supervised Method for Spiking Neurons.

IEEE transactions on neural networks and learning systems Mar 18, 2015
Recent research has shown the potential capability of spiking neural networks (SNNs) to model complex information processing in the brain. There is biological evidence to prove the use of the precise timing of spikes for information coding. However, ...
Nerve Net Algorithms Humans Neurons Neural Networks, Computer Learning Synapses Models, Neurological Animals Action Potentials
View on PubMed DOI

Regulation of Local Ambient GABA Levels via Transporter-Mediated GABA Import and Export for Subliminal Learning.

Neural computation Mar 16, 2015
Perception of supraliminal stimuli might in general be reflected in bursts of action potentials (spikes), and their memory traces could be formed through spike-timing-dependent plasticity (STDP). Memory traces for subliminal stimuli might be formed i...
Neurons gamma-Aminobutyric Acid Nerve Net Synaptic Transmission Neural Inhibition GABA Plasma Membrane Transport Proteins Learning Models, Neurological Action Potentials Humans Neural Networks, Computer
View on PubMed DOI

Surrogate population models for large-scale neural simulations.

Neural computation Mar 16, 2015
Because different parts of the brain have rich interconnections, it is not possible to model small parts realistically in isolation. However, it is also impractical to simulate large neural systems in detail. This article outlines a new approach to m...
Computer Simulation Models, Neurological Action Potentials Humans Neural Networks, Computer Brain Neurons Nerve Net
View on PubMed DOI

Experimental demonstration of a second-order memristor and its ability to biorealistically implement synaptic plasticity.

Nano letters Mar 2, 2015
Memristors have been extensively studied for data storage and low-power computation applications. In this study, we show that memristors offer more than simple resistance change. Specifically, the dynamic evolutions of internal state variables allow ...
Neural Networks, Computer Animals Computer-Aided Design Humans Memory Electric Impedance Neuronal Plasticity Biomimetic Materials Equipment Failure Analysis Action Potentials Nerve Net Computer Storage Devices Equipment Design Synaptic Transmission
View on PubMed DOI

A reduction for spiking integrate-and-fire network dynamics ranging from homogeneity to synchrony.

Journal of computational neuroscience Jan 21, 2015
In this paper we provide a general methodology for systematically reducing the dynamics of a class of integrate-and-fire networks down to an augmented 4-dimensional system of ordinary-differential-equations. The class of integrate-and-fire networks w...
Humans Neural Networks, Computer Computer Simulation Models, Neurological Nerve Net Action Potentials Neurons Nonlinear Dynamics
View on PubMed DOI

Spontaneous motion on two-dimensional continuous attractors.

Neural computation Jan 20, 2015
Attractor models are simplified models used to describe the dynamics of firing rate profiles of a pool of neurons. The firing rate profile, or the neuronal activity, is thought to carry information. Continuous attractor neural networks (CANNs) descri...
Nonlinear Dynamics Nerve Net Models, Neurological Humans Action Potentials Neural Networks, Computer Neurons Computer Simulation
View on PubMed DOI
Popular Topics
Recent Journals