Новые крутые датасеты -- большие и мультимодальные, с фМРТ и МЭГ
we present THINGS-data, a multimodal collection of large-scale datasets comprising functional MRI, magnetoencephalographic recordings, and 4.70 million similarity judgments in response to thousands of photographic images for up to 1,854 object concepts. THINGS-data is unique in its breadth of richly-annotated objects ... the multimodality of THINGS-data allows combining datasets for a much broader view into object processing than previously possible. Our analyses demonstrate the high quality of the datasets and provide five examples of hypothesis-driven and data-driven applications. THINGS-data constitutes the core release of the THINGS initiative (https://things-initiative.org) for bridging the gap between disciplines and the advancement of cognitive neuroscience.
M.N. Hebart, ... C.I. Baker. THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior. bioRxiv, July 23, 2022 https://doi.org/10.1101/2022.07.22.501123
we present THINGS-data, a multimodal collection of large-scale datasets comprising functional MRI, magnetoencephalographic recordings, and 4.70 million similarity judgments in response to thousands of photographic images for up to 1,854 object concepts. THINGS-data is unique in its breadth of richly-annotated objects ... the multimodality of THINGS-data allows combining datasets for a much broader view into object processing than previously possible. Our analyses demonstrate the high quality of the datasets and provide five examples of hypothesis-driven and data-driven applications. THINGS-data constitutes the core release of the THINGS initiative (https://things-initiative.org) for bridging the gap between disciplines and the advancement of cognitive neuroscience.
M.N. Hebart, ... C.I. Baker. THINGS-data: A multimodal collection of large-scale datasets for investigating object representations in brain and behavior. bioRxiv, July 23, 2022 https://doi.org/10.1101/2022.07.22.501123