RI: Small: A Hierarchical Framework for Naturalistic Multi-animal Behavior Understanding — NSF Award to Georgia Tech Research Corp
Understanding social animal behaviors has become a major focus in computational neuroscience due to its ability to reveal complex brain-behavior connections. Despite advances in studying animal behavior, challenges remain in comprehending natural and social behaviors over long periods. Imagine the behavior of two mice
| Award title | RI: Small: A Hierarchical Framework for Naturalistic Multi-animal Behavior Understanding |
|---|---|
| Award ID | 2336055 |
| Awardee | Georgia Tech Research Corporation |
| City | ATLANTA |
| State | GA |
| Amount obligated | $599,939 |
| Principal investigator | Anqi Wu |
| Program | Robust Intelligence |
| Start date | 10/01/2024 |
| Abstract | Understanding social animal behaviors has become a major focus in computational neuroscience due to its ability to reveal complex brain-behavior connections. Despite advances in studying animal behavior, challenges remain in comprehending natural and social behaviors over long periods. Imagine the behavior of two mice moving around in an open field over several days. Many behaviors and interactions can happen over shorter and longer time scales. In just a few seconds or minutes, a mouse might gr |
| Source | NSF Awards |
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