This simulation was used in an article in press at Neural Computation Citation: Neymotin SA, Chadderdon GL, Kerr CC, Francis JT, Lytton WW (2013). Reinforcement learning of 2-joint virtual arm reaching in a computer model of sensorimotor cortex. This simulation was tested/developed on LINUX systems, test on Mac OS, but doesn't run yet on Microsoft Windows. To run, you will need the NEURON simulator (available at http://www.neuron.yale.edu) Unzip the contents of zip file to a new directory. Compile the mod files from the command line with (Linux): nrnivmodl This will produce an architecture-dependent folder with a script called special. On 64 bit systems the folder is x86_64. To run the simulation from the command line: nrniv then NEURON will start and load the mechanisms (cell types, etc.) then from the NEURON prompt: load_file("mosinit.hoc") That will load the simulation and all required files. Network and inputs will be setup. A graphical user interface will be displayed with the option to run either the trained network or a naive network. The middle panel will display the motion of the virtual arm, as controlled by the network. After the simulation is complete, the trajectory will be drawn in the middle panel (similar to Figure 6A) and the arm will be positioned over the target (black 'x'). The right panel will display a raster plot (similar to Figure 3A or B). The trained network run should look like this: For questions/comments on the simulation contact: Sam Neymotin (email: samn at neurosim dot downstate dot edu) 20130628 A values.h include statement in misc.h was commented out so that the simulation would run on Mac OS X. 20160921 Includes updates from the Lytton lab that allow the model to run on mac OS X.