Journal of Neural Engineering

Papers
(The TQCC of Journal of Neural Engineering is 9. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-04-01 to 2024-04-01.)
ArticleCitations
BCI for stroke rehabilitation: motor and beyond186
A survey on deep learning-based non-invasive brain signals: recent advances and new frontiers139
Review of semi-dry electrodes for EEG recording94
Uncovering the structure of clinical EEG signals with self-supervised learning91
Data augmentation for enhancing EEG-based emotion recognition with deep generative models80
Comparing user-dependent and user-independent training of CNN for SSVEP BCI79
Myoelectric control of robotic lower limb prostheses: a review of electromyography interfaces, control paradigms, challenges and future directions77
EEG-inception: an accurate and robust end-to-end neural network for EEG-based motor imagery classification75
EEGdenoiseNet: a benchmark dataset for deep learning solutions of EEG denoising72
Investigating EEG-based functional connectivity patterns for multimodal emotion recognition70
Towards real-life EEG applications: novel superporous hydrogel-based semi-dry EEG electrodes enabling automatically ‘charge–discharge’ electrolyte66
A 1D CNN for high accuracy classification and transfer learning in motor imagery EEG-based brain-computer interface58
Implementing a calibration-free SSVEP-based BCI system with 160 targets52
A review of user training methods in brain computer interfaces based on mental tasks51
Deep brain stimulation: a review of the open neural engineering challenges50
Towards adaptive deep brain stimulation: clinical and technical notes on a novel commercial device for chronic brain sensing50
Sources of off-target effects of vagus nerve stimulation using the helical clinical lead in domestic pigs49
A novel training-free recognition method for SSVEP-based BCIs using dynamic window strategy49
Neural stimulation and recording performance in human sensorimotor cortex over 1500 days46
Decoding multiclass motor imagery EEG from the same upper limb by combining Riemannian geometry features and partial least squares regression43
Adaptive asynchronous control system of robotic arm based on augmented reality-assisted brain–computer interface41
The Argo: a high channel count recording system for neural recording in vivo41
Bioelectronic medicine for the autonomic nervous system: clinical applications and perspectives40
Decoding of grasping tasks from intraneural recordings in trans-radial amputee39
Stability of flexible thin-film metallization stimulation electrodes: analysis of explants after first-in-human study and improvement of in vivo performance38
An easy-to-assemble, robust, and lightweight drive implant for chronic tetrode recordings in freely moving animals38
Deep learning of resting-state electroencephalogram signals for three-class classification of Alzheimer’s disease, mild cognitive impairment and healthy ageing38
Enhancing classification accuracy of fNIRS-BCI using features acquired from vector-based phase analysis36
How to successfully classify EEG in motor imagery BCI: a metrological analysis of the state of the art35
EEG data augmentation: towards class imbalance problem in sleep staging tasks35
Simultaneous and proportional control of wrist and hand movements by decoding motor unit discharges in real time35
Brain2Char: a deep architecture for decoding text from brain recordings35
Rapidly formed stable and aligned dense collagen gels seeded with Schwann cells support peripheral nerve regeneration33
Spatiotemporal patterns of gene expression around implanted silicon electrode arrays33
Removal of movement-induced EEG artifacts: current state of the art and guidelines33
Compliant peripheral nerve interfaces33
Decoding hand movements from human EEG to control a robotic arm in a simulation environment32
Boosting template-based SSVEP decoding by cross-domain transfer learning32
High density carbon fiber arrays for chronic electrophysiology, fast scan cyclic voltammetry, and correlative anatomy31
Stretchable gold nanowire-based cuff electrodes for low-voltage peripheral nerve stimulation31
Physiological synchrony in EEG, electrodermal activity and heart rate reflects shared selective auditory attention31
CNN-based classification of fNIRS signals in motor imagery BCI system31
A multimodal approach to capture post-stroke temporal dynamics of recovery31
Multiscale space-time-frequency feature-guided multitask learning CNN for motor imagery EEG classification30
Carbon-based neural electrodes: promises and challenges30
Non-invasive wearable seizure detection using long–short-term memory networks with transfer learning30
Wearable wireless power systems for ‘ME-BIT’ magnetoelectric-powered bio implants30
A bioelectric neural interface towards intuitive prosthetic control for amputees28
Flexible, high-resolution thin-film electrodes for human and animal neural research28
Edge deep learning for neural implants: a case study of seizure detection and prediction28
Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience28
A comfortable steady state visual evoked potential stimulation paradigm using peripheral vision28
A biomimetic electrical stimulation strategy to induce asynchronous stochastic neural activity28
Deep learning for robust detection of interictal epileptiform discharges27
End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax27
Network-based brain–computer interfaces: principles and applications27
A convolutional neural network to identify motor units from high-density surface electromyography signals in real time27
Long-term intracortical microelectrode array performance in a human: a 5 year retrospective analysis27
Epidural and transcutaneous spinal cord stimulation facilitates descending inputs to upper-limb motoneurons in monkeys27
Brain–computer interfaces based on code-modulated visual evoked potentials (c-VEP): a literature review27
Benefits of deep learning classification of continuous noninvasive brain–computer interface control27
Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time–frequency distributions26
Ceramic packaging in neural implants26
Skilled independent control of individual motor units via a non-invasive neuromuscular–machine interface26
Robust and accurate decoding of hand kinematics from entire spiking activity using deep learning26
Platinum dissolution and tissue response following long-term electrical stimulation at high charge densities26
A novel flexible hydrogel electrode with a strong moisturizing ability for long-term EEG recording26
MuscleNET: mapping electromyography to kinematic and dynamic biomechanical variables by machine learning25
Universal adversarial perturbations for CNN classifiers in EEG-based BCIs25
A brain-actuated robotic arm system using non-invasive hybrid brain–computer interface and shared control strategy25
Infrared neuromodulation:a neuroengineering perspective25
Adaptive latent state modeling of brain network dynamics with real-time learning rate optimization25
Modular multilevel TMS device with wide output range and ultrabrief pulse capability for sound reduction24
Online asynchronous detection of error-related potentials in participants with a spinal cord injury using a generic classifier24
On the road to the brain-on-a-chip: a review on strategies, methods, and applications24
Vertical-junction photodiodes for smaller pixels in retinal prostheses24
Neuropathological effects of chronically implanted, intracortical microelectrodes in a tetraplegic patient24
Long exposure convolutional memory network for accurate estimation of finger kinematics from surface electromyographic signals24
Brain variability in dynamic resting-state networks identified by fuzzy entropy: a scalp EEG study23
Virtual reality simulation of epiretinal stimulation highlights the relevance of the visual angle in prosthetic vision23
Generalized neural decoders for transfer learning across participants and recording modalities23
Optimizing spatial properties of a new checkerboard-like visual stimulus for user-friendly SSVEP-based BCIs23
Assessing impact of channel selection on decoding of motor and cognitive imagery from MEG data22
Polyvinyl alcohol/polyacrylamide double-network hydrogel-based semi-dry electrodes for robust electroencephalography recording at hairy scalp for noninvasive brain–computer interfaces22
Adaptive tracking of human ECoG network dynamics22
Noise removal in resting-state and task fMRI: functional connectivity and activation maps22
A comparison of insertion methods for surgical placement of penetrating neural interfaces21
Hybrid optogenetic and electrical stimulation for greater spatial resolution and temporal fidelity of cochlear activation21
Motor imagery recognition with automatic EEG channel selection and deep learning21
Early classification of motor tasks using dynamic functional connectivity graphs from EEG21
Multi-objective data-driven optimization for improving deep brain stimulation in Parkinson’s disease20
Review of wearable technologies and machine learning methodologies for systematic detection of mild traumatic brain injuries20
EEG-based detection of mental workload level and stress: the effect of variation in each state on classification of the other20
The effect of calibration parameters on the control of a myoelectric hand prosthesis using EMG feedback20
A study on CNN image classification of EEG signals represented in 2D and 3D20
High-density mapping of primate digit representations with a 1152-channel µECoG array20
The temporal pattern of intracortical microstimulation pulses elicits distinct temporal and spatial recruitment of cortical neuropil and neurons20
Computational modeling of the auditory brainstem response to continuous speech20
Towards human motor augmentation by voluntary decoupling beta activity in the neural drive to muscle and force production20
Neural decoding of electrocorticographic signals using dynamic mode decomposition19
Enhancing detection of steady-state visual evoked potentials using channel ensemble method19
Neuroprotective effect of hypoxic preconditioning and neuronal activation in a in vitro human model of the ischemic penumbra19
Multi-class motor imagery EEG classification method with high accuracy and low individual differences based on hybrid neural network19
Fully implanted adaptive deep brain stimulation in freely moving essential tremor patients19
State-space optimal feedback control of optogenetically driven neural activity19
Acoustoelectric imaging of deep dipoles in a human head phantom for guiding treatment of epilepsy19
Effects of an exoskeleton-assisted gait training on post-stroke lower-limb muscle coordination19
Electrical brain stimulation and continuous behavioral state tracking in ambulatory humans19
Naturalistic spatiotemporal modulation of epiretinal stimulation increases the response persistence of retinal ganglion cell19
Direct measurement of oxygen reduction reactions at neurostimulation electrodes19
Multi-channel transcranial temporally interfering stimulation (tTIS): application to living mice brain19
Sputtered porous Pt for wafer-scale manufacture of low-impedance flexible microelectrodes19
Functional synergy recruitment index as a reliable biomarker of motor function and recovery in chronic stroke patients19
Speech-imagery-based brain–computer interface system using ear-EEG19
A hybrid Body-Machine Interface integrating signals from muscles and motions18
Kinematics of individual muscle units in natural contractions measured in vivo using ultrafast ultrasound18
Multi-scale neural decoding and analysis18
Bioelectrical interfaces with cortical spheroids in three-dimensions18
An end-to-end CNN with attentional mechanism applied to raw EEG in a BCI classification task18
On optimal coupling of the ‘electronic photoreceptors’ into the degenerate retina18
Characterizing the short-latency evoked response to intracortical microstimulation across a multi-electrode array18
Implant- and anesthesia-related factors affecting cardiopulmonary threshold intensities for vagus nerve stimulation18
Similarity-constrained task-related component analysis for enhancing SSVEP detection18
Calcium imaging in freely moving mice during electrical stimulation of deep brain structures18
Extended home use of an advanced osseointegrated prosthetic arm improves function, performance, and control efficiency18
Systematic analysis of wavelet denoising methods for neural signal processing18
Enhancing transfer performance across datasets for brain-computer interfaces using a combination of alignment strategies and adaptive batch normalization18
Short-delay neurofeedback facilitates training of the parietal alpha rhythm18
Effects of virtual reality-based motor rehabilitation: a systematic review of fMRI studies18
Activated iridium oxide film (AIROF) electrodes for neural tissue stimulation18
Gels, jets, mosquitoes, and magnets: a review of implantation strategies for soft neural probes17
Electrochemical methods for neural interface electrodes17
Cluster decomposing and multi-objective optimization based-ensemble learning framework for motor imagery-based brain–computer interfaces17
Neural decoding from surface high-density EMG signals: influence of anatomy and synchronization on the number of identified motor units17
Improving the performance of multisubject motor imagery-based BCIs using twin cascaded softmax CNNs17
Carbon fiber electrodes for intracellular recording and stimulation17
A deep learning method for single-trial EEG classification in RSVP task based on spatiotemporal features of ERPs16
Decoding ECoG signal into 3D hand translation using deep learning16
Auditory stimulus-response modeling with a match-mismatch task16
Long-term stability of the chronic epidural wireless recorder WIMAGINE in tetraplegic patients16
Neurophysiological and medical considerations for better-performing microelectronic retinal prostheses16
Enhancement for P300-speller classification using multi-window discriminative canonical pattern matching16
Layer-specific parameters of intracortical microstimulation of the somatosensory cortex16
Non-invasive analysis of motor neurons controlling the intrinsic and extrinsic muscles of the hand16
Accuracy and precision of navigated transcranial magnetic stimulation16
Multi-feature computational framework for combined signatures of dementia in underrepresented settings16
A portable, self-contained neuroprosthetic hand with deep learning-based finger control15
A deep learning framework with multi-perspective fusion for interictal epileptiform discharges detection in scalp electroencephalogram15
From full calibration to zero training for a code-modulated visual evoked potentials brain computer interface15
Automated detection of ripple oscillations in long-term scalp EEG from patients with infantile spasms15
Modeling and augmenting of fMRI data using deep recurrent variational auto-encoder15
Identifying similarities and differences in emotion recognition with EEG and eye movements among Chinese, German, and French People15
Multi-modal artificial dura for simultaneous large-scale optical access and large-scale electrophysiology in non-human primate cortex15
TAP: targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation15
Fascicles split or merge every ∼560 microns within the human cervical vagus nerve15
Characterizing pink and white noise in the human electroencephalogram15
Deep learning reveals personalized spatial spectral abnormalities of high delta and low alpha bands in EEG of patients with early Parkinson’s disease15
SGM: a novel time-frequency algorithm based on unsupervised learning improves high-frequency oscillation detection in epilepsy15
Simultaneous decoding of cardiovascular and respiratory functional changes from pig intraneural vagus nerve signals15
Cross-subject spatial filter transfer method for SSVEP-EEG feature recognition15
Emergence of flexible technology in developing advanced systems for post-stroke rehabilitation: a comprehensive review15
A geometric approach to quantifying the neuromodulatory effects of persistent inward currents on individual motor unit discharge patterns15
Continuous decoding of cognitive load from electroencephalography reveals task-general and task-specific correlates15
A CNN identified by reinforcement learning-based optimization framework for EEG-based state evaluation14
Automatic classification of idiopathic Parkinson’s disease and atypical Parkinsonian syndromes combining [11C]raclopride PET uptake and MRI grey matter morphometry14
Pathway-specific cortico-muscular coherence in proximal-to-distal compensation during fine motor control of finger extension after stroke14
Consistency of local activation parameters at sensor- and source-level in neural signals14
Optimizing the electric field strength in multiple targets for multichannel transcranial electric stimulation14
Detection of human white matter activation and evaluation of its function in movement decoding using stereo-electroencephalography (SEEG)14
Towards optimizing electrode configurations for silent speech recognition based on high-density surface electromyography14
Flex-printed forehead EEG sensors (fEEGrid) for long-term EEG acquisition14
The effect of stimulus number on the recognition accuracy and information transfer rate of SSVEP–BCI in augmented reality14
An adaptive closed-loop ECoG decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic14
Inductive conformal prediction for silent speech recognition14
A computational approach for generating continuous estimates of motor unit discharge rates and visualizing population discharge characteristics14
EEG microstate in first-episode drug-naive adolescents with depression14
Q-PINE: A quick to implant peripheral intraneural electrode14
SleepSEEG: automatic sleep scoring using intracranial EEG recordings only14
Adaptive polymer fiber neural device for drug delivery and enlarged illumination angle for neuromodulation14
Hybrid asynchronous brain–computer interface for yes/no communication in patients with disorders of consciousness14
Three-dimensionality shapes the dynamics of cortical interconnected to hippocampal networks14
Longevity and reliability of chronic unit recordings using the Utah, intracortical multi-electrode arrays14
An attention-based deep learning approach for the classification of subjective cognitive decline and mild cognitive impairment using resting-state EEG14
The impact of CT image parameters and skull heterogeneity modeling on the accuracy of transcranial focused ultrasound simulations14
Silicone encapsulation of thin-film SiO x , SiO x N y and SiC for m13
Multichannel power electronics and magnetic nanoparticles for selective thermal magnetogenetics13
Non-invasive on-skin sensors for brain machine interfaces with epitaxial graphene13
An efficient CNN-LSTM network with spectral normalization and label smoothing technologies for SSVEP frequency recognition13
A novel motor imagery EEG decoding method based on feature separation13
Decoding and interpreting cortical signals with a compact convolutional neural network13
Predicting task performance from biomarkers of mental fatigue in global brain activity13
SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm13
Rapid and transient enhancement of thalamic information transmission induced by vagus nerve stimulation13
Trade-off between stimulation focality and the number of coils in multi-locus transcranial magnetic stimulation13
Deep brain stimulation: is it time to change gears by closing the loop?13
Data augmentation for learning predictive models on EEG: a systematic comparison13
Mapping of primary somatosensory cortex of the hand area using a high-density electrocorticography grid for closed-loop brain computer interface13
A whole-process interpretable and multi-modal deep reinforcement learning for diagnosis and analysis of Alzheimer’s disease 13
Characterization of optogenetically-induced cortical spreading depression in awake mice using graphene micro-transistor arrays13
Soft, wireless and subdermally implantable recording and neuromodulation tools13
Simultaneous control of natural and extra degrees of freedom by isometric force and electromyographic activity in the muscle-to-force null space13
Transcranial photobiomodulation changes topology, synchronizability, and complexity of resting state brain networks13
Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states13
Distinguishing false and true positive detections of high frequency oscillations13
Improving motor imagery classification during induced motor perturbations13
Cortical network effects of subthalamic deep brain stimulation in a thalamo-cortical microcircuit model13
Bidirectional flow of action potentials in axons drives activity dynamics in neuronal cultures12
Quantification of anticipation of excitement with a three-axial model of emotion with EEG12
Enhancing gesture decoding performance using signals from posterior parietal cortex: a stereo-electroencephalograhy (SEEG) study12
A novel consciousness emotion recognition method using ERP components and MMSE12
Ear-EEG compares well to cap-EEG in recording auditory ERPs: a quantification of signal loss12
A Bayesian-optimized design for an interpretable convolutional neural network to decode and analyze the P300 response in autism12
Semi-supervised EEG emotion recognition model based on enhanced graph fusion and GCN12
Long-term upper-extremity prosthetic control using regenerative peripheral nerve interfaces and implanted EMG electrodes12
Detection of spontaneous seizures in EEGs in multiple experimental mouse models of epilepsy12
Modular pulse synthesizer for transcranial magnetic stimulation with fully adjustable pulse shape and sequence12
Flexible graphene/GO electrode for gel-free EEG12
Modeling multiscale causal interactions between spiking and field potential signals during behavior12
A personalizable autonomous neural mass model of epileptic seizures12
Computational approaches to decode grasping force and velocity level in upper-limb amputee from intraneural peripheral signals12
An automatic sleep disorder detection based on EEG cross-frequency coupling and random forest model12
From unsupervised to semi-supervised adversarial domain adaptation in electroencephalography-based sleep staging12
Perturbation-evoked potentials can be classified from single-trial EEG12
A novel decoding method for motor imagery tasks with 4D data representation and 3D convolutional neural networks12
Retinal prosthetic vision simulation: temporal aspects12
Reconstruction of hand, elbow and shoulder actual and imagined trajectories in 3D space using EEG current source dipoles12
Relating EEG to continuous speech using deep neural networks: a review12
Resting state dynamic functional connectivity in children with attention deficit/hyperactivity disorder12
FB-CGANet: filter bank channel group attention network for multi-class motor imagery classification12
The noise and impedance of microelectrodes12
Bridging the gap between patient-specific and patient-independent seizure prediction via knowledge distillation12
Embedding decomposition for artifacts removal in EEG signals12
An in-silico analysis of electrically evoked responses of midget and parasol retinal ganglion cells in different retinal regions12
A non-invasive wearable sensory leg neuroprosthesis: mechanical, electrical and functional validation12
Pixel size limit of the PRIMA implants: from humans to rodents and back12
Spatially selective stimulation of the pig vagus nerve to modulate target effect versus side effect12
Tissue response to a chronically implantable wireless, intracortical visual prosthesis (Gennaris array)12
Decoding working memory task condition using magnetoencephalography source level long-range phase coupling patterns12
AOAR: an automatic ocular artifact removal approach for multi-channel electroencephalogram data based on non-negative matrix factorization and empirical mode decomposition12
Deep learning multimodal fNIRS and EEG signals for bimanual grip force decoding12
Toward brain–heart computer interfaces: a study on the classification of upper limb movements using multisystem directional estimates12
Electrochemical safety limits for clinical stimulation investigated using depth and strip electrodes in the pig brain12
Neurological state changes indicative of ADHD in children learned via EEG-based LSTM networks12
Preferential activation of proprioceptive and cutaneous sensory fibers compared to motor fibers during cervical transcutaneous spinal cord stimulation: a computational study12
Feasibility of cerium-doped LSO particles as a scintillator for x-ray induced optogenetics11
Tangent space spatial filters for interpretable and efficient Riemannian classification11
A finite element method framework to model extracellular neural stimulation11
Biomechanical micromotion at the neural interface modulates intracellular membrane potentials in vivo11
Yet another artefact rejection study: an exploration of cleaning methods for biological and neuromodulatory noise11
Theoretical analysis of optogenetic spiking with ChRmine, bReaChES and CsChrimson-expressing neurons for retinal prostheses11
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