Konrad Körding and the Bayesian Behavior lab
The research of the Bayesian Behavior 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.
- 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 algorithms to analyze how neurons are connected in the nervous system.
- We aim at making gaming technology more useful for rehabilitation.
Our lab is part of Northwestern university, Departments Physiology and PM and R. It is associated with Northwestern Department of applied math. Our laboratory is part of the Rehabilitation Institute of Chicago (RIC).
Invitation
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 kk@northwestern.edu.News
An introductory tutorial about Bayesian methods for Neuroscientists can be found here www.koerding.com/tutorial. If you always wondered what Bayesian statistics is about but found the math disturbing this is the tutorial for you. You need matlab on your computer to run it.
At Rehabilitation Institute of Chicago we are always searching for outstanding postdocs.
Check out our group homepage at klab.wikidot.com
Life
Salsa, Snowboarding, Surfing, Volleyball, Theatre, Skateboarding, skiing, dancing
Keywords
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 Segmentation
I 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.
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Searching for my brother Elmar Körding?
Calendar for our meeting room:
and for the RIC 1301 meeting room
