Machine Intelligence from Cortical Networks (MICrONS)

Program Manager

David Markowitz

Program Information

MICrONS Explorer
IARPA-BAA-14-06

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; Harvard University; Princeton University; Broad Institute, Inc.; Georgia Tech Applied Research Corporation

Research Area(s)

  • Computational neuroscience
  • Neurophysiology
  • Connectomics
  • Data science
  • Machine learning

Related Publications

To access MICrONS program-related publications, please visit Google Scholar.

Related Article(s)