AIMC Journal:
Journal of neural engineering

Showing 171 to 180 of 244 articles

Deep learning-based electroencephalography analysis: a systematic review.

Journal of neural engineering Aug 14, 2019
CONTEXT: Electroencephalography (EEG) is a complex signal and can require several years of training, as well as advanced signal processing and feature extraction methodologies to be correctly interpreted. Recently, deep learning (DL) has shown great ...
Brain-Computer Interfaces Humans Databases, Factual Brain Deep Learning Electroencephalography
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Dynamic network modeling and dimensionality reduction for human ECoG activity.

Journal of neural engineering Aug 14, 2019
OBJECTIVE: Developing dynamic network models for multisite electrocorticogram (ECoG) activity can help study neural representations and design neurotechnologies in humans given the clinical promise of ECoG. However, dynamic network models have so far...
Brain Female Aged Humans Neural Networks, Computer Young Adult Middle Aged Adult Nerve Net Brain Mapping Male Electrocorticography
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Maximal flexibility in dynamic functional connectivity with critical dynamics revealed by fMRI data analysis and brain network modelling.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: The exploration of time-varying functional connectivity (FC) through human neuroimaging techniques provides important new insights on the spatio-temporal organization of functional communication in the brain's networks and its alterations ...
Magnetic Resonance Imaging Brain Mapping Nerve Net Female Male Adolescent Neural Networks, Computer Data Analysis Brain Humans
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SpikeDeeptector: a deep-learning based method for detection of neural spiking activity.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: In electrophysiology, microelectrodes are the primary source for recording neural data (single unit activity). These microelectrodes can be implanted individually or in the form of arrays containing dozens to hundreds of channels. Recordin...
Male Middle Aged Deep Learning Female Young Adult Adult Action Potentials Neurons Quadriplegia Humans Neural Networks, Computer Brain
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Biometric identification of listener identity from frequency following responses to speech.

Journal of neural engineering Jul 23, 2019
OBJECTIVE: We investigate the biometric specificity of the frequency following response (FFR), an EEG marker of early auditory processing that reflects phase-locked activity from neural ensembles in the auditory cortex and subcortex (Chandrasekaran a...
Humans Machine Learning Language Female Auditory Perception Electroencephalography Biometric Identification Speech Perception Adult Male Speech
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Assaying neural activity of children during video game play in public spaces: a deep learning approach.

Journal of neural engineering Apr 11, 2019
OBJECTIVE: Understanding neural activity patterns in the developing brain remains one of the grand challenges in neuroscience. Developing neural networks are likely to be endowed with functionally important variability associated with the environment...
Video Games Adolescent Child Electroencephalography Female Male Deep Learning Humans Neural Networks, Computer Brain
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PatcherBot: a single-cell electrophysiology robot for adherent cells and brain slices.

Journal of neural engineering Apr 10, 2019
OBJECTIVE: Intracellular patch-clamp electrophysiology, one of the most ubiquitous, high-fidelity techniques in biophysics, remains laborious and low-throughput. While previous efforts have succeeded at automating some steps of the technique, here we...
Brain Animals Male Mice Mice, Inbred C57BL Robotics Humans Cells, Cultured Patch-Clamp Techniques HEK293 Cells Organ Culture Techniques Electrophysiological Phenomena
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Deep-learning for seizure forecasting in canines with epilepsy.

Journal of neural engineering Apr 8, 2019
OBJECTIVE: This paper introduces a fully automated, subject-specific deep-learning convolutional neural network (CNN) system for forecasting seizures using ambulatory intracranial EEG (iEEG). The system was tested on a hand-held device (Mayo Epilepsy...
Deep Learning Forecasting Epilepsy Electrodes, Implanted Seizures Dogs Animals Electrocorticography
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Regression convolutional neural network for improved simultaneous EMG control.

Journal of neural engineering Mar 8, 2019
OBJECTIVE: Deep learning models can learn representations of data that extract useful information in order to perform prediction without feature engineering. In this paper, an electromyography (EMG) control scheme with a regression convolutional neur...
Regression Analysis Female Humans Random Allocation Electromyography Neural Networks, Computer Adult Movement Motion Machine Learning Male
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A probabilistic recurrent neural network for decoding hind limb kinematics from multi-segment recordings of the dorsal horn neurons.

Journal of neural engineering Mar 8, 2019
OBJECTIVE: Providing accurate and robust estimates of limb kinematics from recorded neural activities is prominent in closed-loop control of functional electrical stimulation (FES). A major issue in providing accurate decoding the limb kinematics is ...
Cats Hindlimb Posterior Horn Cells Biomechanical Phenomena Neural Networks, Computer Animals Models, Statistical
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