Area:
mathematical neuroscience, applied mathematics
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High-probability grants
According to our matching algorithm, Bruce W. Knight is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1985 — 1987 |
Knight, Bruce W |
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. |
Mathematical Analyses of Neural Networks
We plan to continue our development of quantitative theoretical methods for study of the dynamics of the visual nervous system. These methods are a blend of modern applied analysis and computer techniques. We will continue to develop these procedures in close conjunction with experimental work. As applied to the eye of the horseshoe crab our theoretical methodology has reached a mature state; our intention is to extend it to vertebrate visual systems. Our approach involves three parts: The reduction of laboratory data, the use of those reduced data to formulate dynamical equations which summarize the behavior of the piece of nervous system under investigation, and the deduction of consequences from those equations to be compared against further experiments.
|
1 |
1985 — 1986 |
Knight, Bruce |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Mathematical Sciences Research Equipment |
0.915 |
1989 — 1993 |
Knight, Bruce W |
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. |
Dynamics of Interacting Visual Neurons
Because the visual system is a collection of information processing networks, a particularly useful way to express our knowledge of its function is in terms of a well defined dynamical network model whose interacting elements reflect the quantitative physiological properties of visual neurons. As such a description evolves, it will not only broaden our view and deepen our insight concerning the nature of visual activity; it will also more sharply relate the symptoms of visual abnormalities to specific departures from normal dynamics at the level of neurons, in a way that has clear potential for clinical usefulness. The goal of the present proposal is to further develop such a model of interacting visual neurons. Major emphasis in the next five years will be upon detailed dynamical modeling of retinal activity in cat and in primates. This will be carried forward in close conjunction with experimental work, primarily visual neuron recordings under stimulation from computer-generated displays of a form devised to expedite modeling. From these data dynamical equations will be developed, which will summarize the behavior and indicate the physiological structure of the piece of nervous system under investigation. The dynamical equations will be translated into computer simulations which will make further predictions to be compared against further experiments, and in this way the process of modeling will be extended.
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1 |