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  • 2
    Jun 2015

    The Challenge of Understanding the Brain: Where We Stand in 2015


    Miller Lab
    Neuroscience

    One person’s (John Lisman) take on the state of the art of neuroscience in 2015.
    The Challenge of Understanding the Brain: Where We Stand in 2015

  • 20
    Nov 2013

    Bob Knight starts neuroscience journal for kids


    Miller Lab
    Neuroscience

    Frontiers for Young Minds is edited by kids 8 to 18.  Best quote: ““Woe betide the contributor who falls under my editorial pen,” wrote 14-year-old Caleb from Canada.

  • 8
    Nov 2013

    Basal ganglia output to the thalamus: still a paradox


    Miller Lab
    Neuroscience

    Michale Fee and crew review and synthesize three major models of basal ganglia output (disinhibition, rebound, and entrainment).

  • 20
    Aug 2013

    Linking Nonlinear Neural Dynamics to Single-Trial Human Behavior


    Miller Lab
    Neuroscience

    Pesenson, Cohen, and Voytek review methods for linking nonlinear oscillatory neural dynamics, in particular oscillatory phase, to behavior.
    Linking Nonlinear Neural Dynamics to Single-Trial Human Behavior

  • 4
    Jul 2013

    Time cells in the hippocampus


    Miller Lab
    Neuroscience

    Kraus et al required rats to run on a treadmill during a working memory task.  They dissociated distance traveled vs time spent running by requiring the rats to run for a fixed distance or a fixed amount of time.  This revealed “time cells” in the hippocampus that reflect the passage of time.

  • 24
    May 2013

    Sober discussion: Does brain stim really improve math?


    Miller Lab
    In The News, Neuroscience, Technology

    It was recently reported that low-voltage, non-invasive brain stimulation improves mathematical abilities.  Does it?  Here’s a cautionary discussion:
    Does Brain Stimulation Make You Better at Maths?

  • 23
    May 2013

    Attention-induced changes in temporal dynamics of neural activity depends on NMDA receptors


    Miller Lab
    Neuroscience

    Visual attention modulates several aspects of neural coding.  There is an increase in firing rate and changes in temporal dynamics: a reduction of neural variance and noise correlation as well as changes in oscillatory synchronization.   The authors used glutamatergic receptor activation, combined with neurophysiological recording to show that the NMDA receptor is responsible for attention -related changes in neural temporal dynamics but not for  increases in firing rate.  Thus,  different  neurophysiological mechanisms that underlie attention can be dissociated at the receptor level. This supports the hypothesis that attention is mediated in part by the temporal dynamics of neural activity, not merely changes in the firing rate of neurons, and that the changes temporal dynamics are not simply a byproduct of changes in firing rate.
    Herrero et al (2013) Neuron

    For a further discussion of the role of temporal dynamics in attention see:
    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. and Miller, E.K. (2007) Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices. Science. 315: 1860-1862  . View PDF »

    Buschman, T.J. and Miller, E.K. (2009) Serial, covert, shifts of attention during visual search are reflected by the frontal eye fields and correlated with population oscillations. Neuron, 63: 386-396. View PDF »

  • 18
    May 2013

    NY TIMES: GRAY MATTER Vision Is All About Change


    Miller Lab
    In The News, Neuroscience, Psychology

    In this week’s NY Times, Susana Martinez-Conde reminds us that our visual system works by detecting change.
    http://www.nytimes.com/2013/05/19/opinion/sunday/vision-is-all-about-change.html

  • 15
    May 2013

    Watch 32 discordant metronomes achieve synchrony in a matter of minutes


    Miller Lab
    In The News, Neuroscience, Technology

    The title says it all.  Oscillations are useful for all sorts of things.
    Synchrony in 32 metronomes

  • 9
    May 2013

    Robust Gamma Coherence between Macaque V1 and V2 by Dynamic Frequency Matching


    Miller Lab
    Neuroscience

    Rhythmic synchrony between neurons has been suggested as a mechanism for establishing communication channels between neurons.  However, this hypothesis has been criticized because of observations that the exact frequency of gamma oscillations bounces around too much to provide a stable communication channel.  (BTW, it doesn’t seem to bother anyone that single neuron activity also bounces around).

    In this study, Roberts et al record from V1 and V2 simultaneously while presenting gratings of varying contrast.  Even though the gamma frequencies changed with stimulus contrast and fluctuated over time, coherence remained stable between V1 and V2.   Thus, rhythmic synchrony can provide a stable channel for neural communication.
    http://www.cell.com/neuron/abstract/S0896-6273(13)00227-4?utm_source=feedly

    For further reading on the role of rhythmic synchrony in neural communication see:
    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

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