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Classification of Electroencephalograms during Mathematical Calculations Using...
The dataset consists of Before Calculation Signals (BCS) and During Calculation Signals (DCS). The dataset consisted of 36 participants. -
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial int...
A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. -
Natural Scenes Dataset (NSD)
The Natural Scenes Dataset (NSD) is a large-scale fMRI dataset used for visual decoding. It features in-depth recordings of brain activities from 8 participants who passively... -
Brain Diffusion for Visual Exploration
Brain Diffusion for Visual Exploration: Cortical Discovery using Large Scale Generative Models -
BCIC IV 2a dataset
This dataset is used for EEG-based motor imagery classification. -
OpenBMI dataset
The OpenBMI dataset is a large benchmark containing 2 sessions of 2-class MI-EEG data (left hand, right hand) from 54 right-handed healthy subjects. -
A Dynamic Domain Adaptation Deep Learning Network for EEG-based Motor Imagery...
This paper presents DADLNet, a dynamic domain adaptation based deep learning network framework for decoding motor imagery tasks. -
HYGRiP dataset
The HYGRiP dataset contains fNIRS signals recorded during a unimanual hand grip task. -
UKB dataset
UKB dataset, a massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence. -
fMRI-Shape
fMRI-Shape dataset, a pioneering dataset specifically designed for Recon3DMind, which pairs fMRI data with 3D visuals. -
EEG dataset for BCI classification
The dataset used in this paper is a collection of EEG signals recorded from 6 healthy males using dry electrodes. The dataset is used for training and testing a convolutional... -
Human Connectome Project
Modeling the behavior of coupled networks is challenging due to their intricate dynamics. For example in neuroscience, it is of critical importance to understand the... -
Visual ERP dataset
The dataset used in this paper is a visual ERP dataset collected by Lee and colleagues, which is one of three datasets that were recorded to study BCI-inefficiency across three...
