Area:
Computation & Theory
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High-probability grants
According to our matching algorithm, Carson C. Chow is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1998 — 2002 |
Chow, Carson C. |
K01Activity Code Description: For support of a scientist, committed to research, in need of both advanced research training and additional experience. |
Synchrony in Neuronal Networks @ University of Pittsburgh At Pittsburgh
DESCRIPTION (Adapted from applicant's abstract): The nervous system is known to exhibit synchronous rhythms over a wide range of frequencies. The implication is that this activity plays a functional role in behavior and cognition. Often these rhythms are highly complex, displaying strongly intermittent characteristics. Experiments to test the significance of synchrony and partial synchrony are difficult because they involve large numbers of neurons and ways to manipulate the rhythms are limited. A thorough understanding of the mechanisms responsible for synchronized states is necessary to probe behavioral and cognitive questions. Theoretical knowledge of how the rhythms can be switched on and off, what controls the frequency, synchrony, and temporal stability may provide tools for manipulating rhythms in vivo and better assess their functional significance. This proposal aims to understand synchrony and partial synchrony by using mathematical and theoretical methods in conjunction with numerical simulations. The experiments and simulations will guide the development of reduced models that are tenable to analysis. This application will form the foundation of a career development program for the candidate to become established in the area of theoretical and computational neuroscience.
|
0.919 |
2002 |
Chow, Carson C. |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
Modeling the Acute Inflammatory Response @ University of Pittsburgh At Pittsburgh
DESCRIPTION (provided by applicant): The acute inflammatory response is a cascade of cellular and molecular events that takes place in the body after a traumatic injury or an infection. This response involves the immune, endocrine and neurological systems and aims to eliminate damaging agents and restore the body back to equilibrium. The clinical manifestation of this response is called the systemic inflammatory response syndrome (SIRS) or sepsis in the case of infection. There are approximately three-quarters of a million cases of SIRS severe enough to warrant hospitalization in the United States each year. Although much has been learned in the last several years on the molecular and cellular mechanisms of SIRS, this knowledge has not translated into improved outcome prediction or treatments. We hypothesize that a major reason effective treatments have not been developed is that a good understanding of the global dynamical behavior of the acute inflammatory response is lacking. We propose to address this shortcoming by developing biologically accurate mathematical models of the acute inflammatory response. These models will be tested and calibrated with carefully designed animal experiments in an iterative procedure that relies heavily on detailed statistical analysis. More specifically, we propose to 1) develop a hierarchy of mathematical models, each designed to address a specific set of questions; 2) refine and validate the mathematical models through an iterative process of experimentation, statistical analysis, and model development; and 3) analyze the various modes of behavior in the mathematical models and use these modes to make predictions of outcomes in different experimental scenarios. The long-term goal of this study is to provide a rational basis for the design of therapies to combat SIRS as well as to aid in patient management.
|
0.919 |