![]() ![]() These will be saved in the “Heatmaps” subfolder. You can then click generate, and our software will plot a heatmap of your trial data. Trial: A trial or range of trials on the above selected days. Setting ‘Auto’ will dynamically assign the maximum value to be equal to the value of the maximum grid.ĭay: A day or range of days to use for calculating the heatmaps. This will allow you to change at which value the points in the heatmap will become their most saturated (dark red). For more information on grid size see matplotlib documentation: This roughly translates into how many bins to put the data in. The parameters panel lets you tailor the output to your needs: You will also receive a log file of the excecution (“Logs” folder), and any generated paths from manual catagorization will be saved under “Paths” in your present working directory. csv file with whatever name was chosen in the Output File field. Once calculation is complete you will be shown a display of the results. This will begin the process of determining search strategies for the trials. Once you are satisfied with your parameters, click calculate.Manual categorization can be used for trials in which our algorithm was unable to make a determination ( Manual categorization for uncategorized trials) or for all trials ( Manual categorization for all trials). ( Note: If you are using custom values, it is best to disable scaling) The two other checkboxes enable manual categorization. This uses the Pixels/cm and the pool diameter to determine a constant C with which to multiply some parameters. The first, Scale Values is used to automatically scale the default values in an attempt to better match your data. There are 3 checkboxes above the Calculate button.For all other data you must manually define these values (Example: Platform Position (x,y) | 6.53,-17.3). Platform position, pool centre, and pool diameter can be automatically calculated for groups of trials using one constant platform location. You may then alter the main values to suit your data. We also have a “Define” button that allows users to import most non-supported files. Ethovision, Anymaze, ezTrack and Watermaze are currently supported. Once you have chosen your parameters, be sure to select your tracking software. See for detailed description of parameters You can also define the cutoff values for each strategy. Deselecting Strategies will remove them from consideration. In the custom parameters pane, you can select and deselect any of the search strategies. (Settings) The settings button will spawn a parameters panel To set your own strategy parameters, click custom. Define supports both Excel and CSV files.įor search strategy analysis we have multiple options. These files must be Excel files if you are using Ethovision tracking software, and CSV files if you are using Anymaze, Watermaze, or ezTrack software. You can then select an inividual file or a directory containing files from the File dropdown menu.The program can be opened by calling pathfinder.(2019) Pathfinder: open source software for analyzing spatial navigation search strategies. If you use Pathfinder, please cite: Cooke MB, O’Leary TP, Harris P et al. Trials are fit into one of: Direct Swim, Directed Search, Focal Search, Spatial indirect, Chaining, Scanning, Thigmotaxis, and Random Search. We then calculate the best-fit search strategy for the trial. Pathfinder currently supports outputs from: Ethovision, Anymaze, WaterMaze, and ezTrack. The program analyses X-Y coordinate data exported from commercially available tracking software. The Pathfinder package is a search strategy analysis tool for the Morris Water Maze, and can be expanded for other spatial navigation tasks. Morris Water Maze search strategy and entropy analysis.Ĭreated by Matthew Cooke at The University of British Columbia, Jason Snyder Labįor more information about the features and usage of Pathfinder please visit our wiki Synopsis Pathfinder Search Strategy analysis and more for spatial navigation data in rodents View on GitHub Pathfinder Pathfinder | Search Strategy analysis and more for spatial navigation data in rodents Skip to the content. ![]()
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