We use a number of different computational tools to generate neuromechanical simulations and to perform analysis of the data we collect in the lab. A number are in development and others are available for download or purchase.
We are developing neuromechanical modeling software to simulate and analyze dynamic characteristics of complex musculoskeletal models. This program was developed by Nate Bunderson, and is being developed for release to the research community. Automated linearization, stability analysis, and forward simulation used in Bunderson, Burkholder, and Ting 2008 were performed using this software. Beta version anticipated in mid-2010.
Companion material for a chapter entitled "Muscle synergy analysis for posture and movement: methods and interpretation" by Ting and Chvatal, to appear in Progress in Motor Control, Danion and Latash, eds., 2010. We use intuitive tutorials to compare the different properties of principal components analysis and non-negative matrix factorization in the decomposition of electromyographic data.
This is a graphics-based neuromechanical modeling software package developed in the lab of Don Edwards at Georgia State University. It allow the user to link together models of neurons, muscles, limbs, and sensory receptors and to simulation how they work. A great way for a biologist to gain an intuitive understanding of neuromechanical interaction in an interactive simulation environment.