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  • 7
    Nov 2017

    Functional integration across oscillation frequencies by cross-frequency phase synchronization


    Miller Lab
    Neuroscience

    There is growing evidence that bottom-up sensory inputs are associated with gamma oscillations (30-120 Hz) while top-down control depends on lower frequencies from delta through beta (1-30 Hz).  This review argues that phase-phase synchrony across different frequencies integrates, coordinates, and regulates the neural assemblies in different frequency bands.

    Palva, J. M., & Palva, S. (2017). Functional integration across oscillation frequencies by cross‐frequency phase synchronization. European Journal of Neuroscience.

  • 2
    Nov 2017

    Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma


    Miller Lab
    Neuroscience

    Groovy new paper from Erin Rich and Joni Wallis.  They tested the relationship between information encoding in high gamma with that in spiking activity of neurons.  They encode similar information but neurons only contribute to a small increase in gamma.  Plus, there are large-scale temporal dynamics that can only be seen in gamma.  In other words, might as well study gamma.

    Rich, E. L., & Wallis, J. D. (2017). Spatiotemporal dynamics of information encoding revealed in orbitofrontal high-gamma. Nature Communications, 8(1), 1139.

  • 31
    Oct 2017

    What constitutes the prefrontal cortex?


    Miller Lab
    Neuroscience

    Do rodents have one?  The answer is not straightforward.  Marie Carlén reviews the data for us.

    Carlén, M. (2017). What constitutes the prefrontal cortex?. Science, 358(6362), 478-482.

  • 31
    Oct 2017

    Neural oscillations during conditional associative learning


    Miller Lab
    Neuroscience

    Interesting new results from Charan Ranganath and crew.  They show changes in oscillatory dynamics in humans as they learn new visuomotor associations.  There was a decrease in theta and an increase in alpha oscillations, much as has been seen in animals.

    Clarke, A., Roberts, B. M., & Ranganath, C. (2017). Neural oscillations during conditional associative learning. bioRxiv, 198838.

    For further reading:
    Loonis, R.F, Brincat, S.L., Antzoulatos, E.G., and Miller, E.K. (2017) A meta-analysis suggests different neural correlates for implicit and explicit learning. Neuron. 96:521-534  View PDF

    Brincat, S.L. and Miller, E.K. (2015)  Frequency-specific hippocampal-prefrontal interactions during associative learning.  Nature Neuroscience. Published online 23 Feb 2015 doi:10.1038/nn.3954. View PDF »

    Brincat, S.L. and Miller, E.K (2016) Prefrontal networks shift from external to internal modes during learning  Journal of Neuroscience. 36(37): 9739-9754, 2016 doi: 10.1523/JNEUROSCI.0274-16.2016. View PDF

  • 25
    Oct 2017

    Comparison of visual receptive fields in the dorsolateral prefrontal cortex (dlPFC) and ventral intraparietal area (VIP) in macaques


    Miller Lab
    Neuroscience

    There were clear differences.

    Viswanathan, P., & Nieder, A. (2017). Comparison of visual receptive fields in the dorsolateral prefrontal cortex (dlPFC) and ventral intraparietal area (VIP) in macaques. European Journal of Neuroscience.

  • 11
    Oct 2017

    New Paper: Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex


    Miller Lab
    Miller Laboratory, Neuroscience

    Lindsay, G.W., Rigotti, M., Warden, M.R., Miller, E.K., and Fusi, S. (2017) Hebbian Learning in a Random Network Captures Selectivity Properties of Prefrontal Cortex. Journal of Neuroscience.  6 October 2017, 1222-17; DOI: https://doi.org/10.1523/JNEUROSCI.1222-17.2017   View PDF

  • 11
    Oct 2017

    New paper: A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning


    Miller Lab
    Miller Laboratory, Neuroscience

    A Meta-Analysis Suggests Different Neural Correlates for Implicit and Explicit Learning
    Roman F. Loonis, Scott L. Brincat, Evan G. Antzoulatos, Earl K. Miller
    Neuron, 96(2): p521-534, 2017.

    Preview by Matthew Chafee and David Crowe:
    Implicit and Explicit Learning Mechanisms Meet in Monkey Prefrontal Cortex

  • 10
    Oct 2017

    Mixed selectivity morphs population codes in prefrontal cortex


    Miller Lab
    Neuroscience

    Parthasarathy et al found that a distractor stimulus caused neural representations in the prefrontal cortex to morph into a different pattern but while still retaining information about the item in memory.  This was due to mixed selectivity neurons.  By contrast, the FEF had less mixed selectivity and the distractor caused it to lose information.  Nice.

    Mixed selectivity morphs population codes in prefrontal cortex
    Aishwarya Parthasarathy, Roger Herikstad, Jit Hon Bong, Felipe Salvador Medina, Camilo Libedinsky & Shih-Cheng Yen
    Nature Neuroscience (2017)

    For further reading about mixed selectivity:
    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 »

  • 4
    Oct 2017

    Remembering Howard Eichenbaum


    Miller Lab
    Neuroscience
    Remembering Howard Eichenbaum

    Tomorrow, we say good bye to a great scientist and a great person.  I am going to miss you, Howard.
    https://www.bu.edu/today/2017/remembering-howard-eichenbaum/

  • 3
    Oct 2017

    46th Annual Meeting of the International Neuropsychological Society


    Miller Lab
    Neuroscience

    Feb 14-17, 2018 in Washington, DC.  See you there!

    https://www.the-ins.org/meetings/future-ins-meetings/ins-washington-dc-2018

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