MCA:Theoretical Foundations of NeuroAI: A Modeling Framework Motivated by Living Neuronal — NSF Award to University of Southern Ca
Biological brains can swiftly perceive and learn from a single experience, invent creative solutions when faced with novel roadblocks, switch among diverse activities and cognitive tasks, and adapt to widely varied conditions and unstructured dynamic environments. Moreover, brains sustain life activities with minimal e
| Award title | MCA:Theoretical Foundations of NeuroAI: A Modeling Framework Motivated by Living Neuronal |
|---|---|
| Award ID | 2527046 |
| Awardee | University of Southern California |
| City | LOS ANGELES |
| State | CA |
| Amount obligated | $310,000 |
| Principal investigator | Paul Bogdan |
| Program | Sci of Lrng & Augmented Intel |
| Start date | 10/01/2025 |
| Abstract | Biological brains can swiftly perceive and learn from a single experience, invent creative solutions when faced with novel roadblocks, switch among diverse activities and cognitive tasks, and adapt to widely varied conditions and unstructured dynamic environments. Moreover, brains sustain life activities with minimal energy consumption (e.g., approximately 20 Watts of power for >80 billion neurons performing complex cognitive tasks with limited, if any, training). While humans can learn by obser |
| Source | NSF Awards |
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