SCI Abstract

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EEG-based affective brain–computer interfaces: recent advancements and future challenges
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Investigating the benefits of artificial neural networks over linear approaches to BMI decoding
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Revisiting Euclidean alignment for transfer learning in EEG-based brain–computer interfaces
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Annotating neurophysiologic data at scale with optimized human input
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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 ...
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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