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<p>Application of CEBRA-Behavior to rat hippocampus data (Grosmark and Buzsáki, 2016), showing position/neural activity (left), overlayed with decoding obtained by CEBRA. The current point in embedding space is highlighted (right). CEBRA obtains a median absolute error of 5cm (total track length: 160cm; see pre-print for details). Video is played at 2x real-time speed.</p>
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<p>Application of CEBRA-Behavior to rat hippocampus data (Grosmark and Buzsáki, 2016), showing position/neural activity (left), overlayed with decoding obtained by CEBRA. The current point in embedding space is highlighted (right). CEBRA obtains a median absolute error of 5cm (total track length: 160cm; see Schneider et al. 2023 for details). Video is played at 2x real-time speed.</p>
<pstyle="margin-top: -70px;">Interactive visualization of the CEBRA embedding for the rat hippocampus data. This 3D plot shows how neural activity is mapped to a lower-dimensional space that correlates with the animal's position and movement direction. <ahref="https://colab.research.google.com/github/AdaptiveMotorControlLab/CEBRA-demos/blob/main/Demo_hippocampus.ipynb" target="_blank" style="color: #6235E0;"><iclass="fas fa-external-link-alt"></i> Open In Colaboratory</a></p>
<p>CEBRA applied to mouse primary visual cortex, collected at the Allen Institute (de Vries et al. 2020, Siegle et al. 2021). 2-photon and Neuropixels recordings are embedded with CEBRA using DINO frame features as labels.
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The embedding is used to decode the video frames using a kNN decoder on the CEBRA-Behavior embedding from the test set.</p>
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<p>CEBRA applied to M1 and S1 neural data, demonstrating how neural activity from primary motor and somatosensory cortices can be effectively embedded and analyzed. See <ahref="https://www.biorxiv.org/content/10.1101/2024.09.11.612513v2" target="_blank" style="color: #6235E0;">DeWolf et al. 2024</a> for details.</p>
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