The BUNS algorithm can greatly benefit Barnes maze users as it provides a standardized method of strategy classification and cognitive scoring scale, which cannot be derived from typical Barnes maze data analysis.įreely available on the web at as a MATLAB information: Supplementary data are available at Bioinformatics online. Here, we offer a support vector machine-based, automated, Barnes-maze unbiased strategy (BUNS) classification algorithm, as well as a cognitive score scale that can be used for memory acquisition, reversal training and probe trials. In response, the services and infrastructure of the European Bioinformatics Institute (EMBL-EBI, are continually expanding: total disk capacity increases significantly. We have previously described an unbiased machine-learning algorithm to classify spatial strategies in the Morris water maze. New technologies are revolutionising biological research and its applications by making it easier and cheaper to generate ever-greater volumes and types of data. #Geodist bioinformatics 2016 novembre manual#Despite the fact that these tasks are well-validated paradigms for testing spatial learning abilities, manual categorization of performance into behavioral strategies is subject to individual interpretation, and thus to bias. The Morris water maze and the Barnes maze are the most commonly used techniques to assess spatial learning and memory in rodents. Spatial learning is one of the most widely studied cognitive domains in neuroscience. redis and geo Ding Jiao Return the distance between two members in the geospatial index represented by the sorted set.
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