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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  3. List of neuroscience databases - Wikipedia

    en.wikipedia.org/wiki/List_of_neuroscience_databases

    EEG Healthy and various diseases Yes [44] Ultrahigh resolution T1-weighted whole brain MR dataset T1-weighted MR data acquired using prospective motion correction at an ultrahigh isotropic resolution of 250 μm. Human Mesoscopic Structural MRI dataset including scanner's raw to processed data Healthy No [45]

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  5. EEG analysis - Wikipedia

    en.wikipedia.org/wiki/EEG_analysis

    EEG analysis is exploiting mathematical signal analysis methods and computer technology to extract information from electroencephalography (EEG) signals. The targets of EEG analysis are to help researchers gain a better understanding of the brain ; assist physicians in diagnosis and treatment choices; and to boost brain-computer interface (BCI ...

  6. Emotion recognition - Wikipedia

    en.wikipedia.org/wiki/Emotion_recognition

    DREAMER: provides electroencephalography (EEG) and electrocardiography (ECG) recordings, as well as emotion annotations in terms of valence, dominance of people watching film clips [27] MELD: is a multiparty conversational dataset where each utterance is labeled with emotion and sentiment.

  7. t-distributed stochastic neighbor embedding - Wikipedia

    en.wikipedia.org/wiki/T-distributed_stochastic...

    t-distributed stochastic neighbor embedding (t-SNE) is a statistical method for visualizing high-dimensional data by giving each datapoint a location in a two or three-dimensional map.

  8. EEGLAB - Wikipedia

    en.wikipedia.org/wiki/EEGLAB

    EEGLAB is a MATLAB toolbox distributed under the free BSD license for processing data from electroencephalography (EEG), magnetoencephalography (MEG), and other electrophysiological signals. [ 1 ] [ 2 ] Along with all the basic processing tools, EEGLAB implements independent component analysis (ICA), time/frequency analysis, artifact rejection ...

  9. P300 (neuroscience) - Wikipedia

    en.wikipedia.org/wiki/P300_(neuroscience)

    P300 latency and amplitude trajectories across the lifespan as obtained from the cross-sectional dataset. Dots represent scores from individual participants. From From P300 Development across the Lifespan: A Systematic Review and Meta-Analysis. [1] The latency and amplitude of the P300 response may vary as a function of age.