Data and Code repository for the paper: <b>Visual loom caused by self- or object-movement elicits distinct responses in mouse superior colliculus</b>

<h2>Data Description</h2><p dir="ltr">Shared data are provided as in the MATLAB file format (.mat). Data are split into two folders depending on whether recordings where performed in Superficial or Intermediate Layers of the Superior Collicullus. Each single .mat file represents a single recording session: the animal ID is specified as “MYYXXX” where YY represents the year of the recording (i.e. M20XXX was made in 2020) while XXX indicates the unique animal ID; the day of the recording is instead specified at the end of the name in the form YYMMDD. All recordings were performed using a silicon probe, comprising two shanks each with 16 electrodes in a “V” formation (spacing 250 µm between shanks, 40 µm between sites, 300 µm total depth; ASSY-37 E-1, Cambridge Neurotech Ltd, Cambridge, UK). Electrophysiological signals were acquired using an OpenEphys acquisition board at a rate of 30 kHz. signals from all recordings in a session were concatenated and processed using Kilosort 2 and Phy. In shared data, identified spikes has been aligned with the animal running speed as well as animal position in the virtual environment and trial type. All signals have been downsampled to a final frequency of 60 Hz to match the refresh-rate of the visual environment. Binned rates were transformed into z-scores by normalizing to the mean and standard deviation of firing rate across all stimulus conditions.</p><h2>Code Description</h2><p dir="ltr">Shared code contains both MATLAB and Python functions used in the analysis provided in the study. In particular, shared MATLAB functions have been provided to generate results in figures 1-3 and divided into different folders based on figure number. For data reported in figure 4, python scripts have been collected in a separate folders, together with all the functions used to perform data analysis reported in figure 4. Details of performed analysis can be found in the manuscript methods section.</p><p dir="ltr"><i>Further information regarding the data or code can be obtained by contacting the Lead Author (Samuel Solomon)</i>. </p>