AIMC Topic: Electrocorticography

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An Interpretable Deep Learning Model for Speech Activity Detection Using Electrocorticographic Signals.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 10, 2022
Numerous state-of-the-art solutions for neural speech decoding and synthesis incorporate deep learning into the processing pipeline. These models are typically opaque and can require significant computational resources for training and execution. A d...
Speech Brain-Computer Interfaces Electrocorticography Humans Brain Deep Learning
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Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load.

eLife Jun 29, 2022
Sleep is generally considered to be a state of large-scale synchrony across thalamus and neocortex; however, recent work has challenged this idea by reporting isolated sleep rhythms such as slow oscillations and spindles. What is the spatial scale of...
Electroencephalography Sleep Memory Electrocorticography Animals Deep Learning
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Decoding ECoG signal into 3D hand translation using deep learning.

Journal of neural engineering Mar 31, 2022
Motor brain-computer interfaces (BCIs) are a promising technology that may enable motor-impaired people to interact with their environment. BCIs would potentially compensate for arm and hand function loss, which is the top priority for individuals wi...
Humans Deep Learning Electroencephalography Hand Brain-Computer Interfaces Electrocorticography
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Interpreting wide-band neural activity using convolutional neural networks.

eLife Aug 2, 2021
Rapid progress in technologies such as calcium imaging and electrophysiology has seen a dramatic increase in the size and extent of neural recordings. Even so, interpretation of this data requires considerable knowledge about the nature of the repres...
Humans Neural Networks, Computer Acoustic Stimulation Auditory Cortex Movement Electrocorticography Spatial Behavior Mice Rats Hippocampus Fingers Animals Male Deep Learning
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Hybrid Convolutional Neural Network for Localization of Epileptic Focus Based on iEEG.

Neural plasticity Apr 27, 2021
Epileptic focus localization by analysing intracranial electroencephalogram (iEEG) plays a critical role in successful surgical therapy of resection of the epileptogenic lesion. However, manual analysis and classification of the iEEG signal by clinic...
Humans Neural Networks, Computer Algorithms Databases, Factual Fourier Analysis Electrocorticography Reproducibility of Results Deep Learning Epilepsy Automation
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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Societies, Medical Common Data Elements Research Support as Topic Telemedicine Information Dissemination Smartphone Advisory Committees Genomics Biological Ontologies Epilepsy Neuroimaging Confidentiality Computer Security Deep Learning Stakeholder Participation Big Data Electrocorticography Wearable Electronic Devices Humans Brain Electronic Health Records Biomedical Research
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Accurate detection of spontaneous seizures using a generalized linear model with external validation.

Epilepsia Aug 6, 2020
OBJECTIVE: Seizure detection is a major facet of electroencephalography (EEG) analysis in neurocritical care, epilepsy diagnosis and management, and the instantiation of novel therapies such as closed-loop stimulation or optogenetic control of seizur...
Electrocorticography Kainic Acid Excitatory Amino Acid Agonists Rats Disease Models, Animal Area Under Curve Electroencephalography Seizures Signal Processing, Computer-Assisted Linear Models Epilepsies, Partial Machine Learning Reproducibility of Results Animals ROC Curve
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Neurolight: A Deep Learning Neural Interface for Cortical Visual Prostheses.

International journal of neural systems Jul 21, 2020
Visual neuroprosthesis, that provide electrical stimulation along several sites of the human visual system, constitute a potential tool for vision restoration for the blind. Scientific and technological progress in the fields of neural engineering an...
Visual Prosthesis Blindness Software Design Electrocorticography Image Interpretation, Computer-Assisted Retinal Ganglion Cells Cerebral Cortex Humans Deep Learning Models, Theoretical Equipment Design
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Brain-optimized extraction of complex sound features that drive continuous auditory perception.

PLoS computational biology Jul 2, 2020
Understanding how the human brain processes auditory input remains a challenge. Traditionally, a distinction between lower- and higher-level sound features is made, but their definition depends on a specific theoretical framework and might not match ...
Adult Phonetics Male Electrocorticography Speech Auditory Perception Adolescent Motion Pictures Humans Neural Networks, Computer Female Young Adult Signal Processing, Computer-Assisted Time Factors Sound Models, Neurological Auditory Cortex Brain Mapping Speech Perception
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Machine translation of cortical activity to text with an encoder-decoder framework.

Nature neuroscience Mar 30, 2020
A decade after speech was first decoded from human brain signals, accuracy and speed remain far below that of natural speech. Here we show how to decode the electrocorticogram with high accuracy and at natural-speech rates. Taking a cue from recent a...
Brain-Computer Interfaces Female Humans Speech Perception Adult Neural Networks, Computer Electrocorticography Middle Aged Brain Speech
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