Nengo (www.nengo.ca) is a graphical neural simulation environment. The following are available at the booth, and on the web at http://compneuro.uwaterloo.ca/cnrglab/.
Rapid tutorials (3-5 min)
- Rapid tutorial - Nonlinear transformations
- Rapid tutorial - An integrator
- Rapid tutorial - Braitenberg vehicle
Tutorials (10-15 min)
- Building motor cortex (vector representations)
- Building a feedforward network (part 1)
- Building a feedforward network (part 2)
- Building a feedforward network (part 3)
- Building a neural integrator
- Building a controlled integrator
Demos (3-5 min)
- Demo - Somatosensory working memory
- Demo - Learning feedforward transformations
- Demo - Simple motor control (arm)
Selected related publications
Stewart, T.C., Tripp, B., Eliasmith, C. (2009) Python Scripting in the Nengo Simulator. Frontiers in Neuroinformatics. 3:7.
Stewart, T. and C. Eliasmith. (2009) Compositionality and biologically plausible models. In W. Hinzen, E. Machery, and M. Werning (eds.) Oxford Handbook of Compositionality. Oxford University Press.
Singh, R. and C. Eliasmith (2006). Higher-dimensional neurons explain the tuning and dynamics of working memory cells. Journal of Neuroscience. 26: 3667-3678.
Eliasmith, C. (2005). A unified approach to building and controlling spiking attractor networks. Neural Computation. 17(6): 1276-1314.
Eliasmith, C. and C. H. Anderson (2003). Neural Engineering: Computation, representation and dynamics in neurobiological systems. MIT Press.