Machine Intelligence from Cortical Networks (MICrONS)

The overall and specific goal of the MICrONS program is to create a new generation of machine learning algorithms derived from high-fidelity representations of cortical microcircuits to achieve human-like performance on complex information processing tasks. To achieve this goal, multidisciplinary teams will:

  1. Propose an algorithmic framework for information processing that is consistent with existing neuroscience data, but that cannot be fully realized without additional specific knowledge about the data representations, operations, and network architectures employed by the brain;
  2. Collect and analyze high-resolution data on the structure and function of cortical microcircuits believed to embody the cortical computing primitives underlying key computations of the proposed framework;
  3. Generate computational neural models of cortical microcircuits informed and constrained by this data and by the existing neuroscience literature to elucidate the nature of the cortical computing primitives; and
  4. Implement novel machine learning algorithms that use mathematical abstractions of the identified cortical computing primitives as their basis of operation.

Contracting Office Address:

Office of the Director of National Intelligence
Intelligence Advanced Research Projects Activity
Washington, District of Columbia 20511
United States

Primary Point of Contact:

R. Jacob Vogelstein
Program Manager
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