Large-scale electrophysiological recordings from V1, V4 and IT in two macaques in response to ~22k images from the THINGS image database.
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This repository contains the dataset described in: L. Wang-Nöth, P. Heiler, H. Huang, D. Lichtenstern, A. Reichenbach, L. Flacke, L. Maisch, H. Mayer, "How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings", preprint, 2024. [Doi coming soon]. This dataset is licensed under the Creative Commons Attribution 4.0 (CC-BY 4.0). Please cite the original article mentioned above.
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Large-scale electrophysiological recordings from V1, V4 and IT in two macaques in response to ~22k images from the THINGS image database.
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Code and Data to "Representational drift as a balance between stochastic processes and Hebbian learning"
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Test data for the crabs-exploration package
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Tutorials and Exercises accompanying lectures of ANDA-NI 2024.
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