Richard J. Herrnstein - US grants

Affiliations:

Harvard University, Cambridge, MA, United States

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High-probability grants

According to our matching algorithm, Richard J. Herrnstein is the likely recipient of the following grants.

Years	Recipients	Code	Title / Keywords	Matching score
1981 — 1984	Herrnstein, Richard	N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information	Studies On Natural and Artificial Visual Categories (Information Science) @ Harvard University	0.915
1984 — 1989	Herrnstein, Richard	N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information	A Comparative Approach to Natural and Artificial Visual Information Processing (Information Science) @ Harvard University	0.915
1987	Herrnstein, Richard J	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.	Perspective Invariances of Pattern Vision @ Harvard University	1
1988 — 1990	Herrnstein, Richard Kosslyn, Stephen (co-PI) [⬀] Mumford, David (co-PI) [⬀]	N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information	A Comparative Approach to Natural and Artificial Visual Information Processing: Ii @ Harvard University Behavioral studies of pigeons probe the higher levels of biological vision. Preliminary studies with complex visual stimuli (including natural scenes) have shown great similarities between pigeon vision and early human vision, despite an evolutionary gap of 100 million years. This suggests the existence of extraordinarily robust biological solutions to visual analysis. Further experiments on visual shape categorization are to be performed on human and pigeon subjects. The goals are 1) to infer underlying algorithms in the two species; 2) to examine adaptation of these algorithms to the circumstances of their use; 3) to formalize the algorithms and their adaptive capacities mathematically; 4) to synthesize biological visual categorization on a computer; and 5) to develop experimental procedures with the long-term goal of creating artificial visual machines. Show summary Hide summary	0.915