About us

We take a computational perspective, and ask how motor commands might be produced by recurrently connected networks with strong internal dynamics. We ask whether empirical neural data, collected during the performance of motor tasks, reflects basic computational principles that can be inferred from existing theory. Conversely, we ask when existing theory should be modified to incorporate principles gleaned from examination of empirical data. To pursue this approach, we collaborate extensively with colleagues in the Grossman Center for the Statistics of Mind, and within the Center for Theoretical Neuroscience.

Interested students should apply to the Columbia Doctoral Program in Neurobiology and Behavior. Our program is outstanding and attracts the best students in the world. The Churchland lab is generally able to take 1-2 rotation students per year.

Interested postdocs should contact Professor Churchland directly. While we have no active searches at present, highly qualified individuals are always encouraged to apply.

At present, the laboratory does not accept summer students or interns. We have no open technician positions, but outstanding candidates with excellent quantitative and organizational skills may be considered on a case-by-case basis.

Professor John Cunningham

Professor Larry Abbott

Professor Liam Paninski

Professor Tom Jessell

Colleagues performing related research (highly incomplete listing biased towards collaborators)