Data for
Year: 2026
Type: dataset
Abstract: Data from paper "AI-discovered tuning laws explain neuronal population code geometry".Each zip file represents a mouse and contains two files :trials.direction.npy : identity of stimulus angles presented - all trials were sinusoidal drifting gratings (n_trials)trials.activity.npy : neuronal responses (deconvolved Ca) of visual cortical cells for each stimulus angle (n_trials x n_cells)Data source :BZ015, BZ016 (Dataset 2 in Methods) : drifting grating responses collected for this paperGT1, GT2, GT3 (Dataset 1 in Methods) : drifting gratings responses (Pachitariu, Marius; Michaelos, Michalis; Stringer, Carsen (2019). Recordings of ~20,000 neurons from V1 in response to oriented stimuli. Janelia Research Campus. Dataset. https://doi.org/10.25378/janelia.8279387.v3)M01 (Dataset 3 in Methods) : drifting gratings responses (Schmutz V, Haydaroglu A, Wang S, Feng Y, Carandini M, Harris KD. High-dimensional neuronal activity from low-dimensional latent dynamics: a solvable model. bioRxiv [Preprint]. 2025 Jun 6:2025.06.03.657632. doi: 10.1101/2025.06.03.657632. PMID: 40502061; PMCID: PMC12157693., https://figshare.com/s/aac82eac1829b7ec406e?file=54688004)Relevant head direction cell data (Dataset 4 in Methods) from Peyrache et al. (2015) is found here : https://crcns.org/data-sets/thalamus/th-1/about-th-1
Source: Figshare
Institution: University College London
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7204546622