Spring 2006
Schraterlab meeting reading list
1. Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986). Neuronal population coding of movement direction. Science, 243, 1416–1419.
2. Flash, and Hogan. (1985). The coordination of arm movements: an experimentally
confirmed mathematical model. Journal of Neuroscience, Vol 5, 1688-1703.
3. Wolpert DM, Ghahramani Z & Jordan MI (1995). An internal model for sensorimotor integration. Science 269:1880-1882.
4. Miall RC, Wolpert DM (1996) Forward models for physiological motor control. Neural Networks, 9:1265–1279.
5. Bhushan N, and Shadmehr R (1999). Evidence for a forward dynamics model in human adaptive motor control. Adv Neural Inform Proc Systems, 11:3-9.
6. Kakei S, Hoffman D, and Strick P. (1999) Muscle and movement representations in the primary motor cortex. Science 285: 2136–2139.
7. Harris CM & Wolpert DM (1998). Signal-dependent noise
determines motor planning
Nature 394: 780-784.
8. Todorov, E (2000). Direct cortical control of muscle activation in voluntary arm movements: a model. Nature Neuroscience 3(4): 391-398.
9. Todorov E and Jordan M (2002). Optimal feedback control as a theory of motor coordination. Nature Neuroscience 5(11): 1226-1235.
10. van Beers, R.J. et al. (2001) Sensorimotor integration compensates for visual localization errors during smooth pursuit eye movements. J. Neurophysiol. 85, 1914–1922.
11. Baddeley RJ, Ingram HA, Miall RC (2003) System
identification applied to a
visuomotor task: near-optimal human performance in a noisy changing
task. J Neurosci 23:3066 –3075.
12. Saunders, J and Knill, D. C. (2003). Humans use continuous feedback from the hand to control reaching movements. Exp. Brain Research, 152(3), 341-52.
13. Saunders, J.A. and Knill, D.C. (2004) Visual feedback control of hand movements. J. Neurosci. 24, 3223–3234.
14. Knill, D., and Pouget, A. The Bayesian brain: the role of uncertainty in neural coding and computation. Trends in Neuroscience. 27(12):712-9. 2004.
15. Pouget, A., Zemel, R.S., and Dayan, P. (2000). Information processing with population codes. Nature Review Neuroscience. 1(2):125-132.
16. Pouget, A., and Snyder, L. (2000). Computational approaches to sensorimotor transformations. Nature Neuroscience. 3:1192-1198.
17. Deneve, S., Latham, P.E. and Pouget, A. (2001). Efficient computation and cue integration with noisy population codes. Nature Neuroscience. 4(8):826-831.
18. Deneve, S., Pouget, A. (2004). Bayesian multisensory integration and cross-modal spatial links. Journal of Physiology (Paris). 98:249-258.