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  • 22
    Oct 2013

    Cortical dynamics revisited


    Miller Lab
    Neuroscience

    Wolf Singer reviews recent work on cortical dynamics.  He concludes that precise temporal coordination between neurons dynamically forms networks and provides a high-dimensional space for neural computations.

    For further reading see:

    • Rigotti, M., Barak, O., Warden, M.R., Wang, X., Daw, N.D., Miller, E.K., & Fusi, S. “The importance of mixed selectivity in complex cognitive tasks”. Nature, 497, 585-590, 2013 doi:10.1038/nature12160. View PDF
    • Miller, E.K. and Fusi, S. (2013) Limber neurons for a nimble mind. Neuron. 78:211-213. View PDF
    • Miller, E.K. and Buschman, T.J. (2013) Cortical circuits for the control of attention.  Current Opinion in Neurobiology.  23:216–222  View PDF »
    • Buschman, T.J., Denovellis, E.L., Diogo, C., Bullock, D. and Miller, E.K. (2012) Synchronous oscillatory neural ensembles for rules in the prefrontal cortex. Neuron, 76: 838-846.  View PDF
  • 21
    Oct 2013

    Earl Miller to appear on HuffPost Live today at 1:40pm ET


    Miller Lab
    In The News, Miller Laboratory, Neuroscience

    There was a segment titled “There’s No More Single Tasking”

    Watch it here (archived):
    http://live.huffingtonpost.com/r/segment/the-lost-ability-to-do-one-task-at-a-time/525fff6b78c90a6d7e00020f

  • 16
    Oct 2013

    The New Yorker: The Man Who Forgot Everything


    Miller Lab
    In The News, Neuroscience

    The New Yorker reviews Sue Corkin’s book about H.M., the famous neurological patient who could not form new memories.

  • 4
    Oct 2013

    Risk Prediction Error Coding in Orbitofrontal Neurons


    Miller Lab
    Neuroscience

    O’Neill and Schultz showed subjects visual stimuli that indicated different levels of risk. They found that orbitofrontal neurons reflected the discrepancy between current and predicted risk.

  • 3
    Oct 2013

    The Structure of Cognition: Attentional Episodes in Mind and Brain


    Miller Lab
    Neuroscience

    John Duncan provides an excellent review of the role of the frontal and parietal cortex in higher level cognition.  He argues that they form a multiple-demand (MD) network.  Neurons in this MD network have multiple functions, flexibly adapting their coding to signal different things in different tasks.    Duncan argues that they play a critical role in subdividing complex problems and organizing a coherent sequence of focused parts or subgoals.  The MD network construction of these attentional episodes is thought to be a core function for complex cognition and this function is central to fluid intelligence.

  • 1
    Oct 2013

    Prefrontal neurons transmit signals to parietal neurons that reflect executive control of cognition


    Miller Lab
    Neuroscience

    Crowe et al recorded simultaneously from the prefrontal and parietal cortices during a visuospatial categorization task.  By examining simultaneous fluctuations in information, they provided evidence that the signals reflecting the rule-dependent categories were transmitted in a top-down fashion from the prefrontal to the parietal cortex.  The prefrontal cortex has long been thought to be the source of top-down “executive” signals.  However, until recently, direct evidence for this has been rare.  This study adds to a growing body of literature that has provided this evidence by using multiple-electrode recording to examine the temporal dynamics of neural signals (e.g., Buschman and Miller, 2007; Ibos et al, 2013).

  • 30
    Sep 2013

    Broad domain generality in focal regions of frontal and parietal cortex


    Miller Lab
    Neuroscience

    More evidence for domain-general processing in higher-level cortex.  Federenko et al tested human subjects with seven tasks with different cognitive demands.  FMRI revealed overlapping activation zones in the frontal and parietal cortex.  This is consistent with neurophysiological studies showing that many neurons in these areas are multifunctional.  Rigotti et al recently demonstrated that these multifunctional “mixed selectivity” neurons provide the computational power needed for high-level cognition.

    For further reading:

    Rigotti, M., Barak, O., Warden, M.R., Wang, X., Daw, N.D., Miller, E.K., & Fusi, S. “The importance of mixed selectivity in complex cognitive tasks”. Nature, 497, 585-590, 2013 doi:10.1038/nature12160. View PDF

    Miller, E.K. and Fusi, S. (2013) Limber neurons for a nimble mind. Neuron. 78:211-213. View PDF

  • 20
    Sep 2013

    Trade-off between Capacity and Precision in Visuospatial Working Memory


    Miller Lab
    Neuroscience, Psychology

    Everybody knows that we can only hold a limited number of things in mind simultaneously.  Is this capacity limit due to a limited number of “slots” in working memory or due a limited resource pool that is divided among the items held in mind?  We found evidence for both (Buschman et al, 2011).  Now, Roggeman et al  use computational modeling to provide further evidence for a hybrid model for capacity limits of working memory.

    Further reading:
    Buschman,T.J., Siegel, M., Roy, J.E. and Miller, E.K. (2011) Neural substrates of cognitive capacity limitations. Proceedings of the National Academy of Sciences. 108(27):11252-5. View PDF »

  • 20
    Sep 2013

    Task- and Experience-dependent Cortical Selectivity to Features Informative for Categorization


    Miller Lab
    Neuroscience

    Van der Linden et al used computer generated images to study categorization in the human brain.  They found that the frontal cortex showed sensitivity to the features diagnostic for the categories, which is consistent with results from animal studies at the neuron level.

  • 18
    Sep 2013

    Broadband Cortical Desynchronization Underlies the Human Psychedelic State


    Miller Lab
    Neuroscience

    Psychedelic drugs desynchronize oscillatory rhythms in the cortex.  Like, wow.

    Muthukumaraswamy et al 2013

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