Economics of Movement Group: Research
When you speculate on the stock market you are making decisions in the presence of uncertainty (will the market go up or
down?). Nevertheless, wise decision making will maximize your wealth.The research of the Economics of Movement group shows that movement and movement learning are similar in many respects. Our Sensors (Eyes, Ears, Skin etc) are not perfect but are noisy. Moreover, our muscles are noisy and if we try to do the same movement over and over it will be different each time. This means that if we make a movement, say swing a golf club, we will have uncertainty in the potential movement outcomes. Our group studies how people make movement decisions in the presence of such uncertainty.
Our research has three main thrusts.
The main thrust of our current research is to allow for better rehabilitation procedures through an understanding of motor learningOur lab is part of Northwestern university, Departments Physiology and PM&R. It is associated with Northwestern Department of applied math. Our laboratory is part of the rehabilitation institute of Chicago.
- We study experimentally how people move and how their movements are affected by uncertainty
- We build computational models using Bayesian statistics to calculate how people could move optimally or learn to move optimally
- We build Bayesian Algorithms to solve problems that we find interesting. For example we analyze how neurons are connected in the nervous system
We are very excited about our research. We love having visitors. If you would like to talk with us about our research or see the experiments, drop us an email at email@example.com.
A review article by Konrad Kording about decision theory has just appeared in the journal science. You can read the article for free on the publications page. At Rehabilitation Institute of Chicago we are always searching for outstanding postdocs.
Salsa, Snowboarding, Surfing, Volleyball, Theatre, Skateboarding, skiing, dancing
Kording or Krding,Bayesian statistics, Motor control, Human Psychophysics, Unsupervised Learning of Invariances, Cue combination, Complex Cells, Natural Images, Hierarchical Models, Natural Scenes, Higher order statistics, Machine Learning, Binding and Attention, ICA, natural sounds, sparse coding, stable coding, texture recognition Auditory receptive fields, Neuroscience, Scene Segmentation, Learning with context, Generative Models,Topic SegmentationI am recently very concerned about legislation limiting our ability to do research and make progress. Patent and Copyright should help progress not hamper it. In particular I believe we need to be granted the right of fair use. We must also be allowed to link freely to sites of interest and address freely our opinions.