Like an intricate dance between partners, the study of brain-to-brain synchrony offers a glimpse into the neural symphony of human interactions. Using various non-invasive neural recording technologies, scientists have delved into the shared rhythms of our minds. With this systematic review, the authors aim to guide future researchers on the paradigms, methodologies, and challenges in […]
Imagine a world where artificial neural networks not only recognize patterns but also actively generate predictions about what will happen next, just like our own brains! This fascinating research explores the possibility of building reflective spiking neural networks (SNNs) that can mimic the complex cognitive actions of our brain, taking advantage of their intrinsic dynamics. […]
In the world of brain-computer interface systems, detecting P300 (the main event-related potential) accurately is crucial. However, existing classification methods often struggle to maintain high accuracy when tested with new participants. To address this challenge, scientists developed a novel LR-CNN model that combines logistic regression and a convolutional neural network. This model consists of two […]
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