Alumni of the Laboratory for Computational Motor Control
Siavash Vaziri, 2004
Siavash Vaziri, 2005
Lab reunion, San Diego, 2013
Siavash joined the lab as a MS BME student in 2004. He worked on saccadic remapping of reach target. He made an important observation: the brain combines predicted sensory consequences of motor commands with actual sensory feedback to produce an estimate that is better than either source of information. That is, as the brain predicts consequences of movements, it acquires the ability to sense the world better than is possible from the sensors alone. He demonstrated that we see the world better than what our eyes tell us because we can predict what we should see. After completing his MS, he joined the PhD program in BME at Johns Hopkins, working in the area of cortical neurophysiology. Following completion of PhD, Siavash accepted a position as Scientific Research Analyst at NIH.
His results were published in the following works:
Why does the brain predict sensory consequences of oculomotor commands? Optimal integration of the predicted and the actual sensory feedback. S Vaziri, J Diedrichsen, and R Shadmehr (2006) Journal of Neuroscience, 26:4188-4197. Abstract
Saccadic remapping of reach targets. Siavash Vaziri (2006) MS Thesis, Johns Hopkins University.