Tilman Kispersky Ph.D. Title: Neuronal compensation for intrinsic variability and temperature perturbations. Funding Opportunity: PA-11-113 We kindly request that this application be submitted to: National Institute for Neurological Disorders and Stroke - NINDS Referees: 1. John A. White Ph.D., Department of Bioengineering, University of Utah, Salt Lake City, Utah 2. Nancy J. Kopell Ph.D., Department of Mathematics and Statistics, Boston University, Boston, MA 3. Paul Miller Ph.D., Department of Biology, Brandeis University, Waltham, MA 4. Theoden Netoff Ph.D, Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN.

Public Health Relevance

Variability is inherent in nervous systems and many neurological disease states are correlated with neuronal properties that fall outside of the """"""""normal"""""""" range. Our application will help build an understanding of how normally functioning neuronal circuits can compensate for variability which may have relevance for understanding how the onset of neurological disorders is prevented. Further, our application will provide fundamental insights which will help in assessing which nervous system perturbations lead to the highest disease susceptibility or, conversely, which perturbations could have the highest medically therapeutic value.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32NS077590-01A1
Application #
8312074
Study Section
Special Emphasis Panel (ZRG1-F03B-G (20))
Program Officer
Liu, Yuan
Project Start
2012-05-01
Project End
2014-04-30
Budget Start
2012-05-01
Budget End
2013-04-30
Support Year
1
Fiscal Year
2012
Total Cost
$52,387
Indirect Cost
Name
Brandeis University
Department
Biology
Type
Schools of Arts and Sciences
DUNS #
616845814
City
Waltham
State
MA
Country
United States
Zip Code
02454
Kispersky, Tilman J; Caplan, Jonathan S; Marder, Eve (2012) Increase in sodium conductance decreases firing rate and gain in model neurons. J Neurosci 32:10995-1004