CascadiaPrime Cognition

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CascadiaPrime Cognition - Neuroscience

Research into the brain is advancing rapidly. Information technology is giving us tools for understanding the brain that only a short while ago were mere "dreams". We are also drawing on a deeper and wider pool of intellectual talents from across different disciplines. The size and the breadth of the talent pool is without historical precedent.

There are also two overarching geopolitical drivers for the work underway.

The OECD countries all face a wave of senescence and with that the potential for crushing healthcare costs with potential to strain the social fabric. Breakthroughs are urgently sought for the diseases of the brain particularly those associated with aging.

The other driver is the race to reverse engineer the human brain. No nation state or alliance can afford to come in second place in cognitive affordances. It is no surprise therefore that each of the major global players have very large initiatives underway.

  Scientific American: In Search Of The Brains Social Road Maps (February 2020)
  Global Harmonization of Neurodata Sharing, Standards and Governance (January 20, 2020)
  Efficient Coding in the Economics of Human Brain Connectomics (January 16, 2020)
  How AI and neuroscience drive each other forwards (July 24, 2019)
  Quantamagazine: The Brain Maps Out Ideas and Memories Like Spaces (January 14, 2019)
  CIFAR: Neurons have the right shape for deep learning (December 5, 2017)
  Towards deep learning with segregated dendrites (December 5, 2017)
  CIFAR: What would it take for AI to achieve consciousness? (November 6, 2017)
  Neural, electrophysiological and anatomical basis of brain-network variability and its characteristic changes in mental disorders (July 14, 2016)
  US Brain Initiative - Wikipedia Overview
  The European Human Brain Project
  The Blue Brain Project
  BRAIN initiative report lists detailed research priorities September 18, 2013
  Proposal: A National Network of Neurotechnology Centers for the BRAIN Initiative (October 2015)
  Discussion: A National Network of Neurotechnology Centers for the BRAIN Initiative (October 2015)
  Tim Dettmers critique of estimates of the brain's Complexity (July 2015)
  U.S. NIH Brain Initiative (January 2015)
  U.S. NSF Brain Initiative (January 2015)
  U.S. NIH Blueprint: The Human Connectome Project
  DARPA Brain Initiative (January 2015)
  The US NIH BRAIN Initiative
  BRAIN Interim Report Presentation(PDF)
  BRAIN Interim Report September 16, 2013 (PDF)
  The 2013 Lovelace lecture:Grady Booch, Chief Scientist of Software Engineering at IBM Research.
  Christof Koch: Consciousness in Biological and Artificial Brains (July 2015), Allen Institute for Brain Science
  Allen Institute for the Brain
  The McGovern Institute for Brain Research at MIT
  The brain�s memory capacity is in the petabyte range, as much as the entire Web, may lead to more energy-efficient computers (January 2016)
  Neuron: Issue on Cognitive Architectures (October 2015)
  Consciousness, Artificial Intelligence, and the Frame Problem - Brain Networks Architecture
  Consciousness and the machine: Paul Verschure - the H4W problem
  Danko Nikolic on Singularity 1 on 1: Practopoiesis Tells Us Machine Learning Is Not Enough!
  Prof. Dr.Danko Nikolic - Practopoiesis
  Marja-Leena Linne - Computational models of learning and neuroplasticity
  Attending to learn, learning to attend Workshop Abstracts & videos
  Decoding the Brain - the tension between speed and accuracy
  Brain architecture, Griffiths phases, and the stretching of criticality (PDF)
  Leonid I. Perlovsky, Senior Member, IEEE - Conundrum of Combinatorial Complexity (PDF)
  Organizational principles of human brain development
  Visual Fixation in Human Newborns Correlates with Extensive White Matter Networks and Predicts Long-Term Neurocognitive Development
  How the brain learns to distinguish between what is important & what is not. The visual cortex processes other information
  Study suggests the mind flexibly joins the meanings of individual words to form structured thoughts (August 2015)
  An architecture for encoding sentence meaning in left mid-superior temporal cortex
  Neurons in the basal forebrain inform multiple distributed subregions of cerebral cortex of any surprising rewards or punishments (August 2015)
  Royal Society: Murray Shanahan: The brain's connective core and its role in animal cognition (October 5, 2012)
  Dr. Leyla Isik - Using neural decoding to study object and action recognition in the human brain (July 2015)
  Frontiers in Computational Neuroscience
  Maryann Martone - Neuroscience Databases and Ontologies [2014]
  The European Institute for Theoretical Neuroscience (EITN) Part of the HBP
  Neuroscience Information Framework (NIF)
  Japan - Riken Exascale Supercomputer Project 2020
  Harvard Intelligent Probabilistic Systems Group
  Brain Facts
  Society for Neuroscience
  So also the Artificial Intelligence section of CascadiaPrime