Area:
Animal Cognition, Vision
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High-probability grants
According to our matching algorithm, Justin Wood is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2005 — 2007 |
Wood, Justin N. |
F31Activity Code Description: To provide predoctoral individuals with supervised research training in specified health and health-related areas leading toward the research degree (e.g., Ph.D.). |
Cognitive Processing in Human Infants and Primates
DESCRIPTION (provided by applicant): This research proposal contains two cross cutting themes. In the first theme, new experimental methods will be used that allow investigations to move beyond questions of what infants and animals know to how they know. By using modified versions of methods that have been used with human adults since the 1960's (i.e. chronometry), it will be possible to study the mental processes and cognitive systems underlying specific types of knowledge in infants and animals. Furthermore, by studying human infants and non-human primates with the same methods, it will be possible to investigate which of the mental processes and cognitive machinery that are available to human infants come from their human specific genetic endowment, and which are shared with other animals and thus evolutionary ancient. The second theme proposes: (1) chronometric studies investigating the mental processes by which individual objects, sets of objects, and representations of number are constructed, and (2) interference studies investigating the processes and cognitive machinery underlying representations of diverse types of individuals.
|
0.914 |
2014 — 2019 |
Wood, Justin |
N/AActivity Code Description: No activity code was retrieved: click on the grant title for more information |
Career: Characterizing Object Recognition Machinery in a Newborn Visual System @ University of Southern California
How does early experience shape how we process and interpret visual information? Two major limitations have made this question difficult to answer. First, researchers can typically collect only a few data points from newborns, which prevents precise measurement of the infants' visual cognitive abilities. Second, human infants cannot ethically be raised in controlled environments from birth, which prevents researchers from studying how specific experiences shape the newborn mind.
To overcome these limitations, Dr. Wood has developed a new controlled-rearing method using a non-human animal model. This method can be used to measure all of a newborn's behavior (24 hours/day, 7 days/week) with high precision (9 samples/second) within strictly controlled environments. With support from this NSF CAREER award, Dr. Wood will use the new controlled-rearing method to characterize how newborns recognize objects at the onset of visual object experience.
Dr. Wood's laboratory will use a two-pronged approach. First, the lab will perform a series of controlled-rearing experiments with newborn chickens. Studies of chickens can inform human cognitive development because chickens and humans have similar neural processing systems for sensory information. These controlled-rearing experiments will reveal how specific visual experiences shape newborns' object recognition abilities. The findings will provide the foundation for a new, publicly-accessible database that describes how specific sensory experiences relate to specific behaviors in a newborn organism.
Second, the lab will build biologically-inspired computational models of newborns' object recognition behavior, using state-of-the-art techniques from artificial intelligence. These models will make predictions that can be compared to the data from the controlled-rearing experiments. This will help identify how the visual system processes objects. This approach integrates ideas from developmental psychology, vision science, and computational neuroscience, providing a unified framework for studying the origins of object recognition and other visual cognitive abilities.
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1 |