AIMC Topic:
Learning

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A spiking neural network based on the basal ganglia functional anatomy.

Neural networks : the official journal of the International Neural Network Society Mar 24, 2015
We introduce a spiking neural network of the basal ganglia capable of learning stimulus-action associations. We model learning in the three major basal ganglia pathways, direct, indirect and hyperdirect, by spike time dependent learning and consideri...
Machine Learning Learning Models, Neurological Humans Neural Networks, Computer Dopamine Thalamus Neural Pathways Basal Ganglia
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Facilitatory effects of anti-spastic medication on robotic locomotor training in people with chronic incomplete spinal cord injury.

Journal of neuroengineering and rehabilitation Mar 20, 2015
BACKGROUND: The objective of this study was to investigate whether an anti-spasticity medication can facilitate the effects of robotic locomotor treadmill training (LTT) to improve gait function in people with incomplete spinal cord injury (SCI).
Female Robotics Aged Walking Adult Humans Gait Treatment Outcome Isometric Contraction Range of Motion, Articular Muscle Spasticity Learning Biomechanical Phenomena Muscle, Skeletal Locomotion Male Clonidine Muscle Strength Spinal Cord Injuries Middle Aged Muscle Relaxants, Central
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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, ...
Neurons Synapses Nerve Net Neural Networks, Computer Algorithms Learning Animals Humans Models, Neurological Action Potentials
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Perceptrons with Hebbian learning based on wave ensembles in spatially patterned potentials.

Physical review letters Mar 18, 2015
A general scheme to realize a perceptron for hardware neural networks is presented, where multiple interconnections are achieved by a superposition of Schrödinger waves. Spatially patterned potentials process information by coupling different points ...
Nonlinear Dynamics Optics and Photonics Neural Networks, Computer Learning Models, Theoretical
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Large-scale transportation network congestion evolution prediction using deep learning theory.

PloS one Mar 17, 2015
Understanding how congestion at one location can cause ripples throughout large-scale transportation network is vital for transportation researchers and practitioners to pinpoint traffic bottlenecks for congestion mitigation. Traditional studies rely...
Geographic Information Systems China Models, Theoretical Transportation Neural Networks, Computer Learning
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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...
Humans Neural Networks, Computer Learning Neurons Synaptic Transmission Models, Neurological gamma-Aminobutyric Acid Neural Inhibition Action Potentials Nerve Net GABA Plasma Membrane Transport Proteins
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Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification.

IEEE transactions on neural networks and learning systems Mar 12, 2015
In this paper, we propose a new approach to improve face verification and person re-identification in the RGB images by leveraging a set of RGB-D data, in which we have additional depth images in the training data captured using depth cameras such as...
Humans Artificial Intelligence Algorithms Pattern Recognition, Automated Biometric Identification Learning Image Processing, Computer-Assisted Face
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A fast clustering algorithm for data with a few labeled instances.

Computational intelligence and neuroscience Mar 11, 2015
The diameter of a cluster is the maximum intracluster distance between pairs of instances within the same cluster, and the split of a cluster is the minimum distance between instances within the cluster and instances outside the cluster. Given a few ...
Computational Biology Artificial Intelligence Models, Theoretical Algorithms Cluster Analysis Learning
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Robot-Aided Neurorehabilitation: A Pediatric Robot for Ankle Rehabilitation.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Mar 6, 2015
This paper presents the pediAnklebot, an impedance-controlled low-friction, backdriveable robotic device developed at the Massachusetts Institute of Technology that trains the ankle of neurologically impaired children of ages 6-10 years old. The desi...
Child Robotics Female Equipment Design Humans Reaction Time Biomechanical Phenomena Nervous System Diseases Algorithms Neurological Rehabilitation Psychomotor Performance Male Ankle Learning Games, Experimental Cerebral Palsy
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Immune centroids oversampling method for binary classification.

Computational intelligence and neuroscience Mar 5, 2015
To improve the classification performance of imbalanced learning, a novel oversampling method, immune centroids oversampling technique (ICOTE) based on an immune network, is proposed. ICOTE generates a set of immune centroids to broaden the decision ...
Sampling Studies Humans Learning Artificial Intelligence Area Under Curve Algorithms Immune System
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