Brain-Based Computing: Foundation for Deep Learning

Brain-Based Computing: Foundation for Deep Learning

Three Key Brain Strategies Used in Deep Learning for Artificial Intelligence

The brain uses three key strategies for learning and processing: (1) Multiple representation levels with feedback, (2) 2-D topographic grids with nearest-neighbor interactions, and (3) free energy minimization (using statistical thermodynamics principles).
The brain uses three key strategies for learning and processing: (1) Multiple representation levels with feedback, (2) 2-D topographic grids with nearest-neighbor interactions, and (3) free energy minimization (using statistical thermodynamics principles). Collectively, these three strategies – either individually or in combination – have underlain all major advances in neural networks and deep learning.

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References for Brain-Based Computing (Methodologies for Deep Learning and Artificial Intelligence)

  • Maren, A.J. (2015) How the Brain Solves Tough Problems. In Making Sense: Extracting Meaning from Text by Matching Entities and Terms to Ontologies and Concepts, Chapter 2 Draft. (Dec. 31, 2015). pdf
  • Maren, A.J. (2015). Brain-Based Computing. (PPT Slidedeck) PPT

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