Samuel J. Sober is a researcher in motor learning and the control of skilled movement. His laboratory combines recordings from neurons and muscles, behavioral experiments and computational analysis to investigate how the nervous system produces and adjusts movement. These approaches connect an animal's observable performance with candidate mechanisms for controlling it.[ref]
Research overview of the Sober Lab. Lab-authored research overview: recordings, behavioral manipulations and sensory feedback
With Michael S. Brainard, Samuel J. Sober tested whether adult birds continually correct vocal errors. A microphone captured Bengalese finch song and processing equipment altered its pitch before playing it through headphones. Compensatory changes in the birds' pitch showed adjustment to a measurable error in auditory feedback. Unlike deafening alone, this manipulation supplied an error that a change in behavior could reduce.[ref]
Adult birdsong is actively maintained by error correction by Samuel J. Sober and Michael S. Brainard. Introduction and Figure 1: correctable feedback perturbations; Nature Neuroscience 12, 927–931, 2009
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