mlsanityData to 7 Oct 2026

MindBigData 2022 A Large Dataset of Brain Signals

arXiv 2212.14746 ↗First posted 27 Dec 2022eess.SP cs.CV cs.LGcited by 7

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Abstract (arXiv)

Understanding our brain is one of the most daunting tasks, one we cannot expect to complete without the use of technology. MindBigData aims to provide a comprehensive and updated dataset of brain signals related to a diverse set of human activities so it can inspire the use of machine learning algorithms as a benchmark of 'decoding' performance from raw brain activities into its corresponding (labels) mental (or physical) tasks. Using commercial of the self, EEG devices or custom ones built by us to explore the limits of the technology. We describe the data collection procedures for each of the sub datasets and with every headset used to capture them. Also, we report possible applications in the field of Brain Computer Interfaces or BCI that could impact the life of billions, in almost every sector like healthcare game changing use cases, industry or entertainment to name a few, at the end why not directly using our brains to 'disintermediate' senses, as the final HCI (Human-Computer Interaction) device? simply what we call the journey from Type to Touch to Talk to Think.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 8 of its 57 references that are in the map. First posted on arXiv 27 Dec 2022.

Builds on

8 of 57 references.

References · 8

  1. 2020Object classification from randomized EEG trialscited by 19
  2. 2022Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeXcited by 17
  3. 2019HHHFL: Hierarchical Heterogeneous Horizontal Federated Learning for Electroencephalographycited by 15
  4. 2020Deep Learning in EEG: Advance of the Last Ten-Year Critical Periodcited by 10
  5. 2019Universal EEG Encoder for Learning Diverse Intelligent Taskscited by 3
  6. 2019A Deep Evolutionary Approach to Bioinspired Classifier Optimisation for Brain-Machine Interactioncited by 2
  7. 2020Understanding Brain Dynamics for Color Perception using Wearable EEG headbandcited by 1
  8. 2022Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Datasetcited by 1

Built on by

Cited by year

Citing papers per year: 2023: 1; 2024: 3; 2025: 3.

7 papers.

  1. 2024Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs)cited by 18
  2. 2025Geometric Machine Learning on EEG Signalscited by 3
  3. 2024Alljoined1 -- A dataset for EEG-to-Image decodingcited by 2
  4. 2024EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and Morecited by 2
  5. 2025Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)cited by 1
  6. 2023MindBigData 2023 MNIST-8B The 8 billion datapoints Multimodal Dataset of Brain Signalscited by 0
  7. 2025Neurocognitive Modeling for Text Generation: Deep Learning Architecture for EEG Datacited by 0