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Retraction: Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network (2021 J. Neural Eng. 18 0460f1)
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Rating by detection: an artifact detection protocol for rating EEG quality with average event duration
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EEG-based major depressive disorder recognition by selecting discriminative features via stochastic search
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A C-shaped miniaturized coil for transcranial magnetic stimulation in rodents
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique extensively used in clinical applicat...
A new grid stimulus with subtle flicker perception for user-friendly SSVEP-based BCIs
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Modeling extracellular stimulation of retinal ganglion cells: theoretical and practical aspects
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A multi-task and multi-channel convolutional neural network for semi-supervised neonatal artefact detection
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Functional connectivity based machine learning approach for autism detection in young children using MEG signals
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Calcium imaging and analysis of the jugular-nodose ganglia enables identification of distinct vagal sensory neuron subsets
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Modelling the differential effects of age on transcranial magnetic stimulation induced electric fields
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Asynchronous axonal firing patterns evoked via continuous subthreshold kilohertz stimulation
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Post-explant profiling of subcellular-scale carbon fiber intracortical electrodes and surrounding neurons enables modeling of recorded electrophysiology
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Confused or not: decoding brain activity and recognizing confusion in reasoning learning using EEG
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Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive brain–computer interfaces
Objective. Reliable and user-friendly electrodes can continuously and real-time capture the electroencephalog...
Filter bank sinc-convolutional network with channel self-attention for high performance motor imagery decoding
Objective. Motor Imagery Brain-Computer Interface (MI-BCI) is an active Brain-Computer Interface (BCI) paradi...
A message from the incoming editor
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Announcing a change of leadership at Journal of Neural Engineering
Dear readers and contributors of the Journal of Neural Engineering,It is with a mix of sadness and excitement that I annou...
Localization of deep brain stimulation trajectories via automatic mapping of microelectrode recordings to MRI
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TRPV1-mediated sonogenetic neuromodulation of motor cortex in freely moving mice
Background. Noninvasive and cell-type-specific neuromodulation tools are critically needed for probing intact...
Decoding spatial locations from primate lateral prefrontal cortex neural activity during virtual navigation
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Connections between spatially distant primary language regions strengthen with age during infancy, as revealed by resting-state fNIRS
The human brain consists of large-scale spatially distributed, but functionally connected, networks that collectively work...
Epileptic seizure detection by using interpretable machine learning models
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Multi-source domain generalization and adaptation toward cross-subject myoelectric pattern recognition
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Spatially selective stimulation of the pig vagus nerve to modulate target effect versus side effect
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Assembling global and local spatial-temporal filters to extract discriminant information of EEG in RSVP task
Objective. Brain–computer interface (BCI) system has developed rapidly in the past decade. And rapid serial v...
EEG-based detection of modality-specific visual and auditory sensory processing
A brain–computer interface (BCI) is a system that provides a direct communication pathway between the brain and an externa...
An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG
Alzheimer's disease (AD) is the most common cause of dementia in the elderly population, accounting for up to 80% of cases...
Artificial intelligence techniques for retinal prostheses: a comprehensive review and future direction
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EEG changes during passive movements improve the motor imagery feature extraction in BCIs-based sensory feedback calibration
Objective. This work proposes a method for two calibration schemes based on sensory feedback to extract relia...
Sensor selection and miniaturization limits for detection of interictal epileptiform discharges with wearable EEG
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