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Spike sorting in the presence of stimulation artifacts: a dynamical control systems approach
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Nonlinear effects at the electrode-tissue interface of deep brain stimulation electrodes
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Multi-source domain adaptation based tempo-spatial convolution network for cross-subject EEG classification in RSVP task
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Data augmentation for invasive brain–computer interfaces based on stereo-electroencephalography (SEEG)
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Multilayer network-based channel selection for motor imagery brain–computer interface
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Local delivery of AdipoRon from self-assembled microparticles to inhibit myelin lipid uptake and to promote lipid efflux from rat macrophages
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Personalized motor imagery prediction model based on individual difference of ERP
Paper ...
Three-dimensional electro-neural interfaces electroplated on subretinal prostheses
Age-related macular degeneration (AMD) is one of the leading causes of irreversible sight loss worldwide [1], affecting an...
Dynamic functional network connectivity analysis in schizophrenia based on a spatiotemporal CPD framework
Objective. Dynamic functional network connectivity (dFNC), based on data-driven group independent component (...
Detection of evoked resonant neural activity in Parkinson’s disease
1 Bionics Institute, East Melbourne, Australia 2 Medical Bionics Department, University of Me...
Concurrent and continuous estimation of multi-finger forces by synergy mapping and reconstruction: a pilot study
Objective. The absence of intuitive control in present myoelectric interfaces makes it a challenge for users ...
Novel machine learning approaches for improving the reproducibility and reliability of functional and effective connectivity from functional MRI
The connectivity of the human brain is integral to cognitive capacity, can be an early marker for human disease, and under...
Improving EEG-based decoding of the locus of auditory attention through domain adaptation *
Objective. This paper presents a novel domain adaptation (DA) framework to enhance the accuracy of electroenc...
Explainable cross-task adaptive transfer learning for motor imagery EEG classification
Objective. In the field of motor imagery (MI) electroencephalography (EEG)-based brain-computer interfaces, d...
Decoding movement frequencies and limbs based on steady-state movement-related rhythms from noninvasive EEG
Objective. Decoding different types of movements noninvasively from electroencephalography (EEG) is an essent...
In-vivo verified anatomically aware deep learning for real-time electric field simulation
Objective. Transcranial magnetic stimulation (TMS) has emerged as a prominent non-invasive technique for modu...
A computational model of surface electromyography signal alterations after spinal cord injury
Spinal cord injury (SCI) can interrupt signals through the motor pathways between the brain and the muscles, causing profo...
Inferring population dynamics in macaque cortex
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Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography signals
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Almost free of calibration for SSVEP-based brain-computer interfaces
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Enhancing the selective electrical activation of human vagal nerve fibers: a comparative computational modeling study with validation in a rat sciatic model
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The role of distinct ECoG frequency features in decoding finger movement
Objective. To identify the electrocorticography (ECoG) frequency features that encode distinct finger movemen...
An unsupervised real-time spike sorting system based on optimized OSort
The analysis of extracellularly recorded neural action potentials (i.e. spikes) relies on spike sorting techniques [1, 2]....
Progressive unsupervised control of myoelectric upper limbs
Myoelectric prosthetic hands can restore or enhance independence for individuals with limb differences, enabling them to p...
A data expansion technique based on training and testing sample to boost the detection of SSVEPs for brain-computer interfaces
Objective. Currently, steady-state visual evoked potentials (SSVEPs)-based brain-computer interfaces (BCIs) h...
Identifying sex differences in EEG-based emotion recognition using graph convolutional network with attention mechanism
Objective. Sex differences in emotions have been widely perceived via self-reports, peripheral physiological ...
3D muscle networks based on vibrational mechanomyography
Objective. Muscle network modeling maps synergistic control during complex motor tasks. Intermuscular coheren...
A scaffold containing zinc oxide for Schwann cell-mediated axon growth
Objective. Schwann cells (SCs) transplanted in damaged nervous tissue promote axon growth, which may support ...
An attention-based multi-modal MRI fusion model for major depressive disorder diagnosis
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Investigating the roles of reflexes and central pattern generators in the control and modulation of human locomotion using a physiologically plausible neuromechanical model
Limbs' movements result from the complex interaction between brain centers, the spinal cord, and the musculoskeletal syste...
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