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1 - 4 of 4 search results for `Neuroscience network` |u:www.neurolex.psychol.cam.ac.uk

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  2. cspdf, Job 76

    https://www.neurolex.psychol.cam.ac.uk/system/files/documents/suliijcai05fv.pdf
    We have chosen the XOR problem as our. Figure 1: (a) Neural Network that Learns XOR. ... The network of automata evolves through a series of states, which form several paths.

  3. Cognition, Concurrency Theory and Reverberations in the Brain: in ...

    https://www.neurolex.psychol.cam.ac.uk/system/files/documents/howard-60.pdf
    However, any sensethat these diverse faculties jointly constrain mind and brain is to a significant extent ignoredby current neural network modelling in cognitive neuroscience. ... This decompositional flatness prompts a number of key questions. 1. How

  4. Neurocognitive Contexts for Morphological Complexity:Dissociating…

    https://www.neurolex.psychol.cam.ac.uk/system/files/documents/bozic_llc_2010.pdf
    S. Johnsrude. 2003. Hierarchical processing in spoken language comprehension. The Journalof Neuroscience 23. ... Neuroscience Letters 271. 85–8. Lehtonen, M., V. A. Vorobyev, K. Hugdahl, T.

  5. doi:10.1016/j.neuropsychologia.2005.03.008

    https://www.neurolex.psychol.cam.ac.uk/system/files/documents/tyler_neuropsychologia_2005b.pdf
    All rights reserved. eywords: fMRI; Speech processing; Fronto-temporal network. Introduction. A key issue in cognitive neuroscience is the functionalnd neural architecture of the systems underlying human lan-uage, and whether ... robust pattern of

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