
David M. Devilbiss
Assistant Scientist
Ph.D. 2002, Drexel University
Solve This Recaptcha@wisc.edu
My research continues to focus on understanding the interaction between central monoamine and neuropeptide systems,
their modulation of individual neuron and distributed neural coding, and its relation to cognitive and behavioral changes.
Most recently my focus has been to examine 1) the neural mechanisms responsible for the cognition-enhancing effects of
methylphenidate (Ritalin) and 2) the neural mechanisms underlying stress-related behavioral changes. Several challenges
exist with this line of research including identifying putative distributed neural codes that undergo neuromodulation,
which reflect cognitive, behavioral, and/or perceptual changes.
To address these questions I am continually developing behavioral assays for rodents that will permit simultaneous electrophysiological
recordings of dozens of neurons engaged in coding those behavioral tasks. Additionally, I am continally developing and refining
statistical approaches to analyzing multiple simultaneous recordings as well as developing computer science based solutions for
linking data warehousing and information management. This work involves collaborations with researchers at Drexel University,
University of Pennsylvania, as well as Drs. RL Jenison and CW Berridge.
Representative Publications
David M. Devilbiss and Craig W. Berridge. Cognition-Enhancing Doses of Methylphenidate Preferentially Increase Prefrontal Cortical Neuronal Responsiveness. Biol. Psychiatry. 2008nbsp;
Karen A. Moxon, David M. Devilbiss, John K. Chapin, Barry D. Waterhouse. Influence of Norepinephrine on Somatosensory Neuronal Responses in the Rat Thalamus: A Combined Modeling and Multiple, Single Unit Study. Brain Res. 2007. 1147:105-123.
David M. Devilbiss and Craig W. Berridge. Low-Dose Methylphenidate Actions on Tonic and Phasic Locus Coeruleus Discharge. JPET. 2006 319(3):1327-35.
David M. Devilbiss, Michelle E. Page, and Barry D. Waterhouse. Locus Coeruleus Regulates Sensory Coding by Neurons and Networks in Waking Animals. J. Neuroscience 2006. 26(39): 9860-72.
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