Data associated with "Functional specialisation of multisensory temporal integration in the mouse superior colliculus"

Dataset from Bianchini et al., "Functional specialisation of multisensory temporal integration in the mouse superior colliculus" available at https://www.biorxiv.org/content/10.1101/2025.02.11.637674v3.Companion code at https://github.com/gaiabianchini/Bianchini2025_SC/tree/main.The data is organised into four subfolders:neurons_datasetsdecoder_datasetsconnectivity_datasetsmovement_control_datasetsEach folder contains the main datasets along with intermediate datasets obtained at different stages of pre-processing. Each dataset is clearly referenced in the corresponding analysis step.Below is a short description of the datasets contained in each folder.<b>1.neurons_datasets</b><br>Contains three datasets:<b>retinotopy_dataset</b>:<br>Data from 979 neurons across 11 sessions in 9 mice, using high-resolution receptive field mapping across 35 locations (5 elevations × 7 azimuths), with 25 repetitions per auditory, visual, and multisensory condition.<br><i>Used in</i>: Figure 1E–L; Figure 3C–D; Supplementary Figure 2A.<b>delay_tuning_dataset</b>:<br>Data from 5,360 neurons across 92 sessions in 24 mice, during presentation of audiovisual stimuli with multiple visual-leading temporal delays at a single spatial location.<br><i>Used in</i>: Figure 1C–D; Figure 2 (all panels); Supplementary Figure 2B–D, 3 (all panels), Supplementary Figure 5 (all panels).<b>delayBA_tuning_dataset</b>:<br>Data from 1,104 neurons across 22 sessions in 6 mice, during presentation of audiovisual stimuli including both auditory-leading and visual-leading conditions.<br><i>Used in</i>: Supplementary Figure 4 (all panels).<br><b>2.decoder_datasets</b><br>Contains outputs of classification algorithms trained on the <code>delay_tuning_dataset</code>.<br><i>Used in</i>: Figure 4 (all panels); Figure 5 (all panels); Figure 6 (all panels); Supplementary Figures 8–10 (all panels).<br><b>3.connectivivty_datasets</b><br>Contains cross-correlation analyses:<b>CCG_dataset_baeline_RF_mapping</b>: based on <b>retinotopy_dataset</b><b>CCG_dataset_baseline</b>: based on <b>delay_tuning_dataset</b><i>Used in</i>: Figure 3 (all panels); Supplementary Figure 6 (all panels).<b>4.movement_control_datasets</b><br>Contains data from 9 sessions in 7 animals, used for analysis of sound-induced behavioural responses.<br><i>Used in</i>: Supplementary Figures 1 and 7 (all panels).<br>