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Welcome to the lsnm_in_python wiki!

The lsnm_in_python repository contains Python scripts to simulate auditory and visual working memory experiments. The code was originally developed in C and Matlab by Malle Tagamets and Barry Horwitz in the 1990's to simulate a visual working memory experiment (see Tagamets and Horwitz, 1998) and later adapted/modified by Fatima Husain to simulate an auditory working memory experiment (see [Husain et al, 2004] (http://www.ncbi.nlm.nih.gov/pubmed/15050592)). The system was significantly expanded around 2003 by Theresa Long and Barry Horwitz by adding batch processing and by Brent Warner and Barry Horwitz by adding functional connectivity simulations (see [Horwitz et al, 2005] (http://www.ncbi.nlm.nih.gov/pubmed/16087450)). Although the code was originally developed for simulating electrical neuronal activity and PET (Tagamets and Horwitz), extensions were added to the code to simulate fMRI (Horwitz and Tagamets, 1999 and Husain et al, 2004) and MEG (Banerjee et al, 2012).