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The lsnm_in_python repository contains Python scripts to simulate auditory and visual working memory experiments. The Python scripts in this repository are based on C and Matlab code originally developed by Malle Tagamets and Barry Horwitz in the 1990's to simulate a visual working memory experiment (see [Tagamets and Horwitz, 1998] (http://www.ncbi.nlm.nih.gov/pubmed/9651128) and Horwitz and Tagamets, 1999) and on adaptations to it by Fatima Husain to simulate an auditory working memory experiment (see [Husain et al, 2004] (http://www.ncbi.nlm.nih.gov/pubmed/15050592)). The Python scripts are also based on Barry Horwitz and Brent Warner's functional connectivity simulations (see [Horwitz et al, 2005] (http://www.ncbi.nlm.nih.gov/pubmed/16087450)).