The Bayesian Behavior Lab uses theory as well as computational and neural modeling to understand how information is processed in the nervous system, explaining data obtained in collaboration with electrophysiologists and in psychophysical experiments. Our work addresses information processing in the nervous system from two angles: (1) Analyzing and explaining electrophysiological data we study what neurons do and (2) Analyzing and explaining human behavior we study what all these neurons do together. Much of our work looks at these questions from a normative viewpoint, asking what problems the nervous system should be solving. This often means taking a Bayesian approach. more...
People
We're currently looking for postdocs in machine learning and/or neuroscience.
- Konrad Körding, Assistant Professor
- Max Berniker, Postdoctoral Fellow
- Kunlin Wei, Postdoctoral Fellow
- Hugo Fernandes, Graduate Student
- Ian Stevenson, Graduate Student
- Iris Vilares, Graduate Student
Work
Featured Paper:
Estimating the sources of motor errors for adaptation and generalization.
Berniker M and Kording KP.
Nature Neuroscience. 11, 1454 - 1461, 2008. (Abstract, PDF).
Contact
Mailing Address:
Rehabilitation Institute of Chicago
Northwestern University
345 E Superior St
Attn: Onterie Rm 931
Chicago, IL 60611 USA
Lab Address (Google Maps):
Onterie Center Rm 931
441 E Erie St
Chicago, IL 60611 USA
Office Tel: (312) 238-6966
Lab Tel: (312) 238-1768
Fax: (312) 238-7605
Email: konrad at koerding dot com
This wiki has had
visitors since 11/2007
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Looking for Post-docs
An enthusiastic and well-qualified post-doctoral researcher is required to work in the wide area of computational sensorimotor integration in the laboratory of Konrad Koerding at the Rehabilitation Institute of Chicago, Northwestern University, Chicago. Current research in the laboratory focuses on the question of decoding of neural signals, cue combination and motor control. These projects require probabilistic models and supervised as well as unsupervised learning techniques. We also test which algorithms are used by the human brain. A successful applicant is expected to bring together machine learning skills with neuroscience problems.
Applicants should have a PhD and skills relevant to machine learning, Bayesian statistics or computational neuroscience and an interest in the way the nervous system solves computational problems; however applicants with a strong background in psychophysics who wish to learn computational approaches will also be considered. Experience with Matlab would be very advantageous.
The Rehabilitation Institute of Chicago (RIC) boasts a large concentration of researchers that address various questions about movement in healthy and patient populations. The department of physiology hosts many scientists probing the neural basis of movement.
Informal inquiries can be addressed by email to Professor Konrad Koerding (konrad -at- koerding -dot- com). For more information about the environment see the Web Pages of the Rehabilitation Institute of Chicago, the Northwestern Department of Physiology and the Northwestern Department of Physical Medicine and Rehabilitation.
The Rehabilitation Institute of Chicago is an Affirmative Action - Equal Opportunity Employer. Applicants are considered for all positions, and employees are treated during employment without regard to race, color, religion, gender, national origin, age, marital or veteran status, the presence of a non-job-related medical condition, disability, sexual orientation, or any other legally protected status to the extent required by law. The Rehabilitation Institute of Chicago embraces diversity in its work force.
Applicants should supply:
- one-page statement of research interests
- Copy of CV (two if sent by post)
- Names and contact details of three references
