Machine Intelligence from Cortical Networks (MICrONS)
MICrONS seeks to revolutionize machine learning by reverse-engineering the algorithms of the brain. The program is expressly designed as a dialogue between data science and neuroscience. Participants in the program will have the unique opportunity to pose biological questions with the greatest potential to advance theories of neural computation and obtain answers through carefully planned experimentation and data analysis. Over the course of the program, participants will use their improving understanding of the representations, transformations, and learning rules employed by the brain to create ever more capable neurally derived machine learning algorithms. Ultimate computational goals for MICrONS include the ability to perform complex information processing tasks such as one-shot learning, unsupervised clustering, and scene parsing, aiming towards human-like proficiency.
Performers (Prime Contractors)
Allen Institute; Baylor College of Medicine; Carnegie Mellon University; Harvard University; Princeton University
- Theoretical neuroscience
- Computational neuroscience
- Machine learning
- Brain activity mapping
To access MICrONS program-related publications, please enter the following into a Google Scholar search query: "D16PC00004 OR D16PC00003 OR D16PC00007 OR D16PC00008 OR D16PC00002 OR D16PC00005"
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- The U.S. Government Launches a $100-Million "Apollo Project of the Brain"
- IARPA Wants Smarter Algorithms -- Not More of Them