Area:
motor control, parkinson's disease
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High-probability grants
According to our matching algorithm, David Zipser is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
1974 — 1978 |
Zipser, David |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Polar Mutants and Lac Operon Function @ Cold Spring Harbor Laboratory |
0.903 |
1978 — 1983 |
Zipser, David |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Aspects of Prokaryotic Molecular Genetics @ Cold Spring Harbor Laboratory |
0.903 |
1980 — 1983 |
Zipser, David |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Genetics of Hsv-1 Tk Expression in Transformed Cells @ Cold Spring Harbor Laboratory |
0.903 |
1989 — 1993 |
Zipser, David |
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. |
Back Propagation Technique-Modeling Cortical Computation @ University of California San Diego
It has recently been found that model neural networks trained with the back propagation procedure to do brain-like computations often develop hidden units with properties very similar to cortical neurons. A particularly clear example is our recent model of area 7a of monkey posterior parietal cortex. The response properties of the model hidden units match closely those of a class of neurons making up about half the units in area 7a. Empirical observations of this sort suggest that the back propagation paradigm might serve as a general technique for analyzing the mechanism of cortical computation. If this is true, it will be possible to make model networks with hidden units corresponding to neurons in many different cortical areas. The research proposed here is designed to explore this conjecture by extending our modeling efforts to a variety of other cortical areas and computation. In particular we will enhance the original area 7a model so it deals with three- dimensional representation, develop a primary visual cortex model using our previous observations on orientation and stereo, and build models of the sensory-motor integration processes thought to occur in the parietal lobe.
|
1 |
1993 — 1998 |
Zipser, David Kutas, Marta (co-PI) [⬀] |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Graduate Research Traineeship @ University of California-San Diego
The Cognitive Science Department at UCSD is developing a new program of training with the goal of unifying research in brain science, behavioral studies, and computational theories and models. Although still in the early stages of development, the program already shows real promise. The advanced graduate students are producing insightful and publishable papers that cut across these disciplines. The program's three years of experience leads to confidence that the multidisciplinary approach to the study of cognition will significantly enrich our understanding of the biological and computational bases of cognition. These traineeships will enhance the educational experience of students by permitting them undistracted time and energy to attend to the rigorous coursework and experimental research required by this new discipline. The goal of this grant is to attract intellectually diverse and multiply-equipped students, with special attention to minorities, women, and others who have been under-represented.
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1 |