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t a r r l a b
We are part of the Department of Cognitive and Linguistic Sciences, the Brown Center for Vision Research, and participants in the Brown Institute for Brain Science.
Our research explores how humans visually learn, process, and recognize objects. Methods include psychophysics, fMRI, and computational modeling, as well as collaborations with other labs using ERPs, neuropsychological case studies, and neurophysiology.
To find out more about us or our research, please see visit the appropriate pages on this site and our collection of reprints.
We also maintain a software page detailing what we know about running and analyzing psychophysical experiments on the Apple Macintosh and a stimuli page that provides access to an extensive collection of visual stimuli appropriate for use in such experiments.
Please note that there are currently no open positions in the lab for RA's and I will not be accepting new graduate students for AY 2009-2010. However, if you are interested in cognitive and/or computational neuroscience, there are some terrific new faculty at or coming to Brown, including David Badre, Sheila Blumstein and Michael Frank. My department and Psychology (with whom we are merging in summer of 2010) are also presently advertising for three new joint faculty in the areas of: 1) Human Perception; 2) Memory & Attention; 3) Computational Modeling. You can see the job descriptions here.
Postdoctoral Position
The Neural Representation of Objects
Brown University
Applications are being sought for an NIH funded post-doctoral position for research investigating the neural representation of objects in the laboratory of Prof. Michael Tarr, Department of Cognitive and Linguistic Sciences, Brown University. The position would be for one year with the possibility of a one- or two-year extension. The successful applicant will work on a newly-funded NIH EUREKA project using real-time fMRI to explore the coding of intermediate features/parts in human ventral-temporal cortex. Ideally, beyond competence in visual cognitive neuroscience or visual neuroscience, competitive candidates should have some computational experience, including familiarity with machine learning methods, as well as at least some knowledge of or in interest in fMRI. The position is available immediately, but the starting date is flexible. Salary will be determined by previous experience and areas of expertise.
To apply, send a brief statement of interest, a CV, a URL referencing a publications webpage, and three references by email to: <mtarr@brown.edu> or else by mail to: Box 1978, CLS – Brown University, Providence, RI 02912.
Information about the lab, about Brown’s diverse vision community, about Brown’s neuroimaging facilities, and about Brown’s broad and highly interdisciplinary brain science community, can be found using the following links:
• http://cvr.brown.edu/
• http://www.brainscience.brown.edu/MRF/
• http://www.brainsciences.brown.edu/
Women and minorities are especially encouraged to apply.
Brown University is an Equal Opportunity/Affirmative Action Employer.
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