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Sensorimotor brain–computer interface performance depends on signal-to-noise ratio but not connectivity of the mu rhythm in a multiverse analysis of longitudinal data
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Simultaneous modulation of pulse charge and burst period elicits two differentiable referred sensations
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A shared robot control system combining augmented reality and motor imagery brain–computer interfaces with eye tracking
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Influence of feedback transparency on motor imagery neurofeedback performance: the contribution of agency
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Motor imagery with cues in virtual reality, audio and screen
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A comprehensive survey of evolutionary algorithms and metaheuristics in brain EEG-based applications
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The effects of neuron morphology and spatial distribution on the selectivity of dorsal root ganglion stimulation
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Technical survey of end-to-end signal processing in BCIs using invasive MEAs
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Task-guided attention increases non-linearity of steady-state visually evoked potentials
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A multi-network model of Parkinson’s disease tremor: exploring the finger-dimmer-switch theory and role of dopamine in thalamic self-inhibition
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Beyond alpha band: prestimulus local oscillation and interregional synchrony of the beta band shape the temporal perception of the audiovisual beep-flash stimulus
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Blindly separated spontaneous network-level oscillations predict corticospinal excitability
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A diagonal masking self-attention-based multi-scale network for motor imagery classification
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GCTNet: a graph convolutional transformer network for major depressive disorder detection based on EEG signals
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Robust adaptive deep brain stimulation control of in-silico non-stationary Parkinsonian neural oscillatory dynamics
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Preparatory movement state enhances premovement EEG representations for brain–computer interfaces
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Deep brain stimulation pulse sequences to optimally modulate frequency-specific neural activity
Deep brain stimulation pulse sequences to optimally modulate frequency-specific neural activity, Hafsa Farooqi, Jerrold L ...
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds
Topology of surface electromyogram signals: hand gesture decoding on Riemannian manifolds, Harshavardhana T Gowda, Lee M M...
‘Are you even listening?’ - EEG-based decoding of absolute auditory attention to natural speech
‘Are you even listening?’ - EEG-based decoding of absolute auditory attention to natural speech, Arnout Roebben, Nicolas H...
Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation
Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation, Archita Hore, Sharb...
Neural signal data collection and analysis of Percept™ PC BrainSense recordings for thalamic stimulation in epilepsy
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What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention
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REPORT-SCS: minimum reporting standards for spinal cord stimulation studies in spinal cord injury
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Identifying temporal correlations between natural single-shot videos and EEG signals
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Spike sorting in the presence of stimulation artifacts: a dynamical control systems approach
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Nonlinear spatio-temporal filter to reduce crosstalk in bipolar electromyogram
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Combining electrodermal activity analysis and dynamic causal modeling to investigate the visual-odor multimodal integration during face perception
The processing of facial expressions is a fundamental mechanism for perceiving others' intentions and emotions [1]. In rea...
Neural activity of retinal ganglion cells under continuous, dynamically-modulated high frequency electrical stimulation
Objective. Current retinal prosthetics are limited in their ability to precisely control firing patterns of f...
Nonlinear effects at the electrode-tissue interface of deep brain stimulation electrodes
Accurate representation of the electrode-electrolyte/tissue interface is critical for the development of computational mod...
Multi-source domain adaptation based tempo-spatial convolution network for cross-subject EEG classification in RSVP task
Objective. Many subject-dependent methods were proposed for electroencephalogram (EEG) classification in rapi...
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