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  • 19
    Sep 2017

    Q and A in Neuron with Earl K. Miller


    Miller Lab
    In The News, Miller Laboratory

    Miller, Earl. “Earl K. Miller.” Neuron 95 (2017): 1237.
    DOI: http://dx.doi.org/10.1016/j.neuron.2017.08.035

    Earl Miller studies the neural basis of high-level cognitive functions. In an interview with Neuron, he discusses the need for a holistic approach to figure out the brain, how ideas don’t happen in a vacuum, and the challenge of convincing the public that science produces facts; he also shares an open invitation to see Pavlov’s Dogz.  View PDF

  • 18
    Sep 2017

    Occipital Alpha and Gamma Oscillations Support Complementary Mechanisms for Processing Stimulus Value Associations


    Miller Lab
    Neuroscience

    Paper showing different, yet complementary, effects of attention and value on alpha vs gamma oscillations in posterior cortex.

    Marshall, T. R., den Boer, S., Cools, R., Jensen, O., Fallon, S. J., & Zumer, J. M. (2017). Occipital Alpha and Gamma Oscillations Support Complementary Mechanisms for Processing Stimulus Value Associations. Journal of Cognitive Neuroscience.

  • 12
    Sep 2017

    Howard Eichenbaum (1947–2017)


    Miller Lab
    In The News

    A wonderful tribute to Howard Eichenbaum by Mike Hasselmo and Chantal Stern.  You will be missed, Howard.

    http://science.sciencemag.org/content/357/6354/875

  • 28
    Aug 2017

    Crows Rival Monkeys in Cognitive Capacity


    Miller Lab
    Neuroscience

    And they show the same independence between the visual hemifields that we saw in primates.

    Balakhonov, D., & Rose, J. (2017). Crows Rival Monkeys in Cognitive Capacity. Scientific Reports, 7.

    For 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 »

    Miller, E.K. and Buschman, T.J. (2015)  Working memory capacity: Limits on the bandwidth of cognition. Daedalus, Vol. 144, No. 1, Pages 112-122. View PDF »

    Kornblith, S., Buschman, T.J., and Miller, E.K. (2015)  Stimulus load and oscillatory activity in higher cortex. Cerebral Cortex. Published online August 18, 2015  doi: 10.1093/cercor/bhv182. View PDF »

  • 24
    Aug 2017

    Dynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex


    Miller Lab
    Neuroscience

    Driscoll et al tracked parietal cortex neurons over one month after mice learned and practiced a navigation task.  The activity of individual neurons changed but information on the population level was stable.  This is a nice demonstration of “mixed selectivity” in individual neurons and further evidence that the functional unit of the brain is neural ensembles, not individual neurons.

    Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D. (2017). Dynamic reorganization of neuronal activity patterns in parietal cortex. Cell.

    For further reading:
    Fusi, S., Miller, E.K., and Rigotti, M. (2016) Why neurons mix: High dimensionality for higher cognition.  Current Opinion in Neurobiology. 37:66-74  doi:10.1016/j.conb.2016.01.010. View PDF »

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

  • 23
    Aug 2017

    Oculomotor measures reveal the temporal dynamics of preparing for search


    Miller Lab
    Neuroscience

    When you search for something do you simply hold a static template of it in mind.  Apparently not.  Your search template waxes and wanes, waxing with the anticipated moment of search.  When the template is strong, your eyes move less.

    Olmos-Solis, K., van Loon, A. M., Los, S. A., & Olivers, C. N. (2017). Oculomotor measures reveal the temporal dynamics of preparing for search. Progress in Brain Research.

  • 21
    Aug 2017

    Differing Time of Onset of Concurrent TMS-fMRI during Associative Memory Encoding: A Measure of Dynamic Connectivity


    Miller Lab
    Neuroscience

    A study using a combination of TMS and FMRI to asses functional connectivity.

    Hawco, C., Armony, J. L., Daskalakis, Z. J., Berlim, M. T., Chakravarty, M. M., Pike, G. B., & Lepage, M. (2017). Differing Time of Onset of Concurrent TMS-fMRI during Associative Memory Encoding: A Measure of Dynamic Connectivity. Frontiers in Human Neuroscience, 11, 404.

  • 21
    Aug 2017

    Working Memory Replay Prioritizes Weakly Attended Events


    Miller Lab
    Neuroscience

    Working memory for different items in a sequence is prioritized by how much attention is paid to the item at encoding.

    Jafarpour, A., Penny, W., Barnes, G., Knight, R. T., & Duzel, E. (2017). Working Memory Replay Prioritizes Weakly Attended Events. eNeuro, 4(4), ENEURO-0171.

  • 14
    Aug 2017

    Task-dependent recurrent dynamics in visual cortex


    Miller Lab
    Neuroscience

    Context-dependent attractor dynamics can underlie mental flexibility.

    Tajima, S., Koida, K., Tajima, C. I., Suzuki, H., Aihara, K., & Komatsu, H. (2017). Task-dependent recurrent dynamics in visual cortex. eLife, 6, e26868.

  • 10
    Aug 2017

    Memory as perception of the past: Compressed time in mind and brain


    Miller Lab
    Neuroscience

    Marc Howard reviews “time cells” in the brain.  Time cells show Weber-fraction like decreases in accuracy the further in the past you go.  Interestingly, these cells keep track of time even when tasks do not require it.  You can’t escape time.

    Howard, M. W. Memory as perception of the past: Compressed time in mind and brain.

     

     

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