Augmenting electroencephalogram transformer for steady-state visually evoked potential-based brain–computer interfaces
Peer-Reviewed Publication
Updates every hour. Last Updated: 13-Dec-2025 02:11 ET (13-Dec-2025 07:11 GMT/UTC)
A research paper by scientists at Tianjin University introduces background electroencephalogram (EEG) mixing (BGMix), a novel data augmentation technique grounded in neural principles that enhances training samples by replacing background noise between different classes.
The new research paper, published on Oct. 07, 2025 in the journal Cyborg and Bionic Systems, introduced a novel EEG augmentation method and a new approach to designing deep learning models informed by the neural processes of EEG.
A research paper by scientists at the Beijing Institute of Technology proposed a SnS2-based in-sensor reservoir that offers an effective solution for detecting a variety of motion types at sensory terminals. By leveraging in-sensor reservoir computing, the device excels at classifying different motions across a wide velocity spectrum, providing a novel and promising method for motion recognition.
The new research paper, published on Sep. 30 in the journal Cyborg and Bionic Systems, presented an optoelectronic in-sensor RC device based on monolayer SnS2 synthesized via the chemical vapor deposition (CVD) technique. This device demonstrates a notable correlation between its optic response and the duration of illumination, exhibiting excellent optical detection performance under short light illumination. Under long illumination, the sustained optic response can be used to simulate synaptic plasticity.
Ischemic heart disease is the leading cause of death globally, causing approximately 9 million deaths annually. Currently, reperfusion therapy (such as thrombolysis or interventional procedures) is the primary method to restore myocardial blood flow. However, the ensuing myocardial ischemia-reperfusion injury (MIRI) has become a key challenge limiting therapeutic efficacy. MIRI involves multiple pathological mechanisms including inflammatory burst, oxidative stress, calcium overload, and ferroptosis. Traditional drugs struggle to effectively intervene due to poor targeting and low bioavailability. In recent years, nanomaterials have emerged as a promising strategy to address this challenge due to their unique size effects, functionable surfaces, and good biocompatibility. This article delves into the latest advances in nanomaterial-based intervention strategies for MIRI from three core dimensions.
A research paper by scientists at Università Campus Bio-Medico di Roma presented a noninvasive nerve stimulation method to restoring somatotopic sensory feedback in lower limb amputees.
The research paper, published on Apr. 29, 2025 in the journal Cyborg and Bionic Systems.
A research paper by scientists at Westlake University presented an acoustic inspired brain-to-sentence decoder for logosyllabic language.
The research paper, published on Apr. 29, 2025 in the journal Cyborg and Bionic Systems.