title: BrainLiner: A Neuroinformatics Platform for Sharing Time-Aligned Brain-Behavior Data.
abstract: Data-driven neuroscience aims to find statistical relationships between brain activity and task behavior from large-scale datasets. To facilitate high-throughput data processing and modeling, we created BrainLiner as a web platform for sharing time-aligned, brain-behavior data. Using an HDF5-based data format, BrainLiner treats brain activity and data related to behavior with the same salience, aligning both behavioral and brain activity data on a common time axis. This facilitates learning the relationship between behavior and brain activity. Using a common data file format also simplifies data processing and analyses. Properties describing data are unambiguously defined using a schema, allowing machine-readable definition of data. The BrainLiner platform allows users to upload and download data, as well as to explore and search for data from the web platform. A WebGL-based data explorer can visualize highly detailed neurophysiological data from within the web browser, and a data-driven search feature allows users to search for similar time windows of data. This increases transparency, and allows for visual inspection of neural coding. BrainLiner thus provides an essential set of tools for data sharing and data-driven modeling.
authors: Department of Neuroinformatics, ATR Computational Neuroscience Laboratories Kyoto, Japan.
authors: Makoto
authors: M
authors: Takemiya
authors: Department of Neuroinformatics, ATR Computational Neuroscience Laboratories Kyoto, Japan.
authors: Kei
authors: K
authors: Majima
authors: Department of Neuroinformatics, ATR Computational Neuroscience Laboratories Kyoto, Japan.
authors: Mitsuaki
authors: M
authors: Tsukamoto
authors: Department of Neuroinformatics, ATR Computational Neuroscience LaboratoriesKyoto, Japan; Department of Information Science and Technology, Graduate School of Informatics, Kyoto UniversityKyoto, Japan.
authors: Yukiyasu
authors: Y
authors: Kamitani
keywords: data sharing; database; machine learning; neural decoding; neuroinformatics; neuroscience; search; web service