Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms Ra’anana, ...
DeepSeek's new research enables retrieval using computational memory, not neural computation, freeing up GPUs.
Abstract: Characterizing the neural representations underlying somatic perception is crucial for neural decoding of external stimulations. Acupuncture is an important therapeutic method of traditional ...
The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...
X-ray tomography is a powerful tool that enables scientists and engineers to peer inside of objects in 3D, including computer ...
Signal Enhancement: An acoustic-driven signal enhancement approach based on NeRF acoustic field modeling and nested generative networks supplements missing or incomplete EEG data through acoustic ...
Artificial intelligence (AI), particularly deep learning models, are often considered black boxes because their ...
Understanding the dynamic neural mechanisms of sleep-wake cycles is a major challenge in sleep science and neuroengineering.
In the 1999 sci-fi classic The Matrix, “plugging in” symbolized digital enslavement. In 2025, for a paraplegia patient in ...
The INSIDE Institute for NeuroAI has demonstrated that non-invasive brain–computer interfaces (BCIs) are no longer confined ...
The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
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