EEG-based neural decoding requires large-scale benchmark datasets. Paired brain-language data across speaking, listening, and reading modalities are essential for aligning neural activity with the ...
This repository contains code and datasets for our research on developing machine learning models that mimic human visual motion perception. While state-of-the-art computer vision (CV) models, such as ...
Like many animals, insects sense odours using two spatially separated sensors—their antennae. This pair of sensors can detect local concentration differences, which encode odour concentration ...
The Realtime fMRI Cloud Framework is an open-source software package that makes it easier to build and deploy real-time fMRI experiments. RT-Cloud streams scanner data (DICOM images) over to the cloud ...
Real-time rendering of closed-loop visual environments is important for next-generation understanding of brain function and behaviour, but is often prohibitively difficult for non-experts to implement ...
Background: Event related potential (ERP) components, such as P3, N2, and FRN, are potential metrics for assessing feedback response as a form of performance monitoring. Most research studies ...
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