Building neurocognitive networks with a distributed functional architecture.

@article{Woodman2011BuildingNN,
  title={Building neurocognitive networks with a distributed functional architecture.},
  author={Marmaduke Woodman and D. Perdikis and A. Pillai and S. Dodel and R. Huys and S. Bressler and Viktor Jirsa},
  journal={Advances in experimental medicine and biology},
  year={2011},
  volume={718},
  pages={
          101-9
        }
}
  • Marmaduke Woodman, D. Perdikis, +4 authors Viktor Jirsa
  • Published 2011
  • Biology, Medicine
  • Advances in experimental medicine and biology
  • In the past few decades, behavioral and cognitive science have demonstrated that many human behaviors can be captured by low-dimensional observations and models, even though the neuromuscular systems possess orders of magnitude more potential degrees of freedom than are found in a specific behavior. We suggest that this difference, due to a separation in the time scales of the dynamics guiding neural processes and the overall behavioral expression, is a key point in understanding the… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 39 REFERENCES
    A survey of trust and reputation systems for online service provision
    3285
    Learning Depth from Single Monocular Images
    774
    A new algorithm for the assignment problem
    191
    Rational Design of Envelope Identifies Broadly Neutralizing Human Monoclonal Antibodies to HIV-1
    1376
    Feedback/feedforward schemes for motion control of the cybercarpet
    12
    More generality in efficient multiple kernel learning
    434