AIMC Topic: Neuronal Plasticity

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Single-Trial EEG Responses Classified Using Latency Features.

International journal of neural systems Jun 2, 2020
Covert attention has been repeatedly shown to impact on EEG responses after single and repeated practice sessions. Machine learning techniques are increasingly adopted to classify single-trial EEG responses thereby primarily relying on amplitude-base...
Humans Machine Learning Aged Attention Psychomotor Performance Cerebral Cortex Practice, Psychological Longitudinal Studies Neuronal Plasticity Electroencephalography Signal Processing, Computer-Assisted
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A Mathematical Analysis of Memory Lifetime in a Simple Network Model of Memory.

Neural computation May 20, 2020
We study the learning of an external signal by a neural network and the time to forget it when this network is submitted to noise. The presentation of an external stimulus to the recurrent network of binary neurons may change the state of the synapse...
Mathematical Concepts Animals Neuronal Plasticity Memory Humans Neural Networks, Computer Computer Simulation
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Population coupling predicts the plasticity of stimulus responses in cortical circuits.

eLife Apr 21, 2020
Some neurons have stimulus responses that are stable over days, whereas other neurons have highly plastic stimulus responses. Using a recurrent network model, we explore whether this could be due to an underlying diversity in their synaptic plasticit...
Mice Neuronal Plasticity Models, Neurological Neurons Nerve Net Humans Neural Networks, Computer Brain Animals
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Neural memory plasticity for medical anomaly detection.

Neural networks : the official journal of the International Neural Network Society Apr 18, 2020
In the domain of machine learning, Neural Memory Networks (NMNs) have recently achieved impressive results in a variety of application areas including visual question answering, trajectory prediction, object tracking, and language modelling. However,...
Databases, Factual Brain Neoplasms Magnetic Resonance Imaging Neuronal Plasticity Humans Neural Networks, Computer Machine Learning Electroencephalography Attention Memory
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[Robot therapy with the H2 exoskeleton for gait rehabilitation in patients with incomplete spinal cord injry. A clinical experience].

Rehabilitacion Mar 31, 2020
BACKGROUND AND OBJECTIVE: Robotic exoskeletons have emerged as a promising tool in gait rehabilitation in patients with a spinal cord injury. The aim of this study was to assess the clinical applicability of a new robotic exoskeleton model (Exo H2) i...
Visual Analog Scale Walkers Gait Disorders, Neurologic Pain Perception Fatigue Walking Speed Exoskeleton Device Crutches Neuronal Plasticity Muscle Strength Robotics Pain Measurement Gait Prosthesis Design Gait Analysis Spinal Cord Injuries Male Middle Aged Humans Pilot Projects Prospective Studies Treatment Outcome Female Young Adult Adult
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Gate-Tunable Synaptic Dynamics of Ferroelectric-Coupled Carbon-Nanotube Transistors.

ACS applied materials & interfaces Jan 16, 2020
Artificial neural networks (ANNs) based on synaptic devices, which can simultaneously perform processing and storage of data, have superior computing performance compared to conventional von Neumann architectures. Here, we present a ferroelectric cou...
Artificial Intelligence Neuronal Plasticity Equipment Design Nanotubes, Carbon Synapses Transistors, Electronic Humans Neural Networks, Computer
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Competitive Learning in a Spiking Neural Network: Towards an Intelligent Pattern Classifier.

Sensors (Basel, Switzerland) Jan 16, 2020
One of the modern trends in the design of human-machine interfaces (HMI) is to involve the so called spiking neuron networks (SNNs) in signal processing. The SNNs can be trained by simple and efficient biologically inspired algorithms. In particular,...
Neural Networks, Computer Algorithms Female Young Adult Adult Male Adolescent Neuronal Plasticity Humans Models, Neurological Electromyography Unsupervised Machine Learning Synaptic Transmission Signal Processing, Computer-Assisted
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Modeling of Brain-Like Concept Coding with Adulthood Neurogenesis in the Dentate Gyrus.

Computational intelligence and neuroscience Nov 3, 2019
Mammalian brains respond to new concepts via a type of neural coding termed "concept coding." During concept coding, the dentate gyrus (DG) plays a vital role in pattern separation and pattern integration of concepts because it is a brain region with...
Neurons Animals Humans Concept Formation Neuronal Plasticity Dentate Gyrus Neurogenesis Neural Networks, Computer Models, Neurological Association Computer Simulation Action Potentials
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Discrimination of the behavioural dynamics of visually impaired infants via deep learning.

Nature biomedical engineering Oct 21, 2019
Sensory loss is associated with behavioural changes, but how behavioural dynamics change when a sensory modality is impaired remains unclear. Here, by recording under a designed standardized scenario, the behavioural phenotypes of 4,196 infants who e...
Male Infant Algorithms Videotape Recording Humans Phenotype Deep Learning Female Vision Disorders Machine Learning Neuronal Plasticity Sensation Behavior Persons with Visual Disabilities
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Reinforcement Learning in Spiking Neural Networks with Stochastic and Deterministic Synapses.

Neural computation Oct 15, 2019
Though succeeding in solving various learning tasks, most existing reinforcement learning (RL) models have failed to take into account the complexity of synaptic plasticity in the neural system. Models implementing reinforcement learning with spiking...
Synapses Synaptic Transmission Reinforcement, Psychology Models, Neurological Action Potentials Neurons Neural Networks, Computer Computer Simulation Neuronal Plasticity
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