Engines of the Brain The Computational Instruction Set of Human Cognition

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What can the brain teach us about building artificial intelligence? (2016, background): “Now, the leading approaches to speech recognition are fully neural network systems (Graves et al. 2013; Hannun et al. 2014). Ideas from deep learning have also been applied to learning complex control problems. Mnih et al. (2015) combined ideas from deep learning and reinforcement learning to make a”
How the brain might work: a hierarchical and temporal model for learning and recognition (2008, methodology): “Hawkins [43] and Granger [37] have proposed the projections of IB cells to the non-specific thalamus as the mechanism for generating a variable timing signal.”
Extending the Soar Cognitive Architecture (2008, methodology): “To remedy this shortcoming, we have added a clustering module to Soar that is based on research by Richard Granger [ 28 ].”
Towards a Mathematical Theory of Cortical Micro-circuits (2009, background): “Several researchers have proposed detailed models for cortical circuits [10–12].”