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  • 4
    Dec 2013

    Load Dependence of β and γ Oscillations Predicts Individual Capacity of Visual Attention


    Miller Lab
    Neuroscience

    Rouhinen et al provide evidence for the role of neural oscillations in the limitations of cognitive capacity.  Subjects tracked multiple objects.  Strength of oscillations were different preceding detected vs undetected objects.  Suppression of low-frequency oscillations (<20 Hz) and strengthening of high-frequency oscillations (>20 Hz) in the frontoparietal cortex was correlated with attentional load.   Load-dependent strengthening of 20-90 Hz oscillations was predictive of individual capacity.  This supports hypotheses that oscillations play major role in attention and are responsible for the limited bandwidth of cognition.

    Further reading on attention, capacity, and oscillations:

    • Buschman,T.J. and Miller, E.K. (2010) Shifting the Spotlight of Attention: Evidence for Discrete Computations in Cognition. Frontiers in Human Neuroscience. 4(194): 1-9. 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. 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 »
    • 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  The Scientist’s “Hot Paper” for October 2009. View PDF »
    • Siegel, M., Warden, M.R., and Miller, E.K. (2009) Phase-dependent neuronal coding of objects in short-term memory. Proceedings of the National Academy of Sciences, 106: 21341-21346. View PDF »
  • 26
    Nov 2013

    Working memory: alpha–gamma versus theta–gamma for distinct information?


    Miller Lab
    Neuroscience

    Roux and Uhlhaas propose an interesting and provocative theory: Different frequencies of neural oscillations carry different information in working memory.  Gamma oscillations maintain information in working memory.  Alpha suppresses irrelevant information.  Theta orders information.  Gamma is thought to be coupled to both alpha and theta.

    This is consistent with our observations for phase-coding of different working memories in gamma (Siegel et al., 2009) and alpha suppressing a dominant, but current irrelevant, neural ensemble (Buschman et al., 2012).

    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 »

    Siegel, M., Warden, M.R., and Miller, E.K. (2009) Phase-dependent neuronal coding of objects in short-term memory. Proceedings of the National Academy of Sciences, 106: 21341-21346. View PDF »

  • 21
    Nov 2013

    Attentional Modulation of Cell-Class-Specific Gamma-Band Synchronization


    Miller Lab
    Neuroscience

    Visual attention increases synchrony of neural activity in visual cortex.  Fries and colleagues showed that synchronization differs for putative excitatory (broad-spiking) and inhibitory (narrow-spiking) neurons.  The inhibitory neurons synchronize in the gamma band twice as strongly as excitatory neurons but the excitatory neurons synchronize to an earlier phase than inhibitory neurons.  Further, attention increases gamma synchrony for the most active neurons but decreases synchrony for the least active neurons.  These results show that attention-related neural synchrony is not uniform but instead an orchestration between different neuron types showing different types of synchrony.  This lends further support for the role of neural synchrony in attention.

  • 15
    Nov 2013

    Cingulate-Hippocampus Coherence and Trajectory Coding in a Sequential Choice Task


    Miller Lab
    Neuroscience

    Miguel Remondes and Matt Wilson show that theta synchrony between the hippocampus and anterior cingulate during a task in which rats chose one of four trajectories.  Theta coherence at 8 Hz lowers slightly (by 1 Hz) when rats enter the decision phase of the task and hippocampal processing of trajectory information precedes that of the anterior cingulate.  Thus, lowering of theta synchrony may coordinate the integration of hippocampal information by neurons in the anterior cingulate.

  • 11
    Nov 2013

    Scaling Brain Size, Keeping Timing: Evolutionary Preservation of Brain Rhythms


    Miller Lab
    Neuroscience

    The all-star team of Buzaki, Logothetis, and Singer discuss how the hierarchy of brain oscillations is remarkably consistent despite huge differences in brain size across different animals.  This may allow for multiple time-scale communication and may be a key factor in time management in the brain.  They discuss the implications for mental disease and therapy.

  • 6
    Nov 2013

    Frontal Theta Oscillatory Activity Is a Common Mechanism for the Computation of Unexpected Outcomes and Learning Rate


    Miller Lab
    Neuroscience

    The title says it all.  Theta oscillations in humans increased with prediction error and predicted the subject’s learning rates.

  • 29
    Oct 2013

    Auto-synchronization of metronomes (demo by Bob Desimone)


    Miller Lab
    Miller Laboratory, Neuroscience

    Bob Desimone (Director of the McGovern Institute for Brain Research at MIT) demonstrates auto-synchronization of metronomes

  • 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
  • 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

  • 16
    Sep 2013

    Assessment of cross-frequency coupling with confidence using generalized linear models


    Miller Lab
    Neuroscience

    Kramer and Eden offer a new method for assessing cross-frequency coupling between oscillatory neural signals.

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