Gamma and beta bursts during working memory readout suggest roles in its volitional control
Open accessPublished version of a preprint
Abstract
Working memory (WM) activity is not as stationary or sustained as previously thought. There are brief bursts of gamma (~50–120 Hz) and beta (~20–35 Hz) oscillations, the former linked to stimulus information in spiking. We examined these dynamics in relation to readout and control mechanisms of WM. Monkeys held sequences of two objects in WM to match to subsequent sequences. Changes in beta and gamma bursting suggested their distinct roles. In anticipation of having to use an object for the match decision, there was an increase in gamma and spiking information about that object and reduced beta bursting. This readout signal was only seen before relevant test objects, and was related to premotor activity. When the objects were no longer needed, beta increased and gamma decreased together with object spiking information. Deviations from these dynamics predicted behavioral errors. Thus, beta could regulate gamma and the information in WM.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The balance between alpha/beta and gamma reflects the encoding, maintenance, and read-out of working memory.
“The balance between alpha/beta and gamma reflect the encoding, maintenance, and read-out of working memory (56).”
From Layer and rhythm specificity for predictive routing (2020) · cites this paper as [56]
The Introduction and Discussion link the balance of beta and gamma bursting to working-memory encoding, maintenance, and readout. The paper discusses alpha as a possible analogous inhibitory rhythm, but does not establish an alpha/gamma balance across those stages. Page numbers are not available in the supplied passages. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496 · see citing works
Spectrum estimation and harmonic analysis
Thomson, D. J. (1982) · Proceedings of the IEEE · doi:10.1109/proc.1982.12433 · Cited by 4,411 · see citing works
EEG alpha oscillations: The inhibition–timing hypothesis
Klimesch, W., Sauseng, P., & Hanslmayr, S. (2006) · Brain Research Reviews · doi:10.1016/j.brainresrev.2006.06.003 · Cited by 3,890 · see citing works
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953 · see citing works
Mnemonic coding of visual space in the monkey's dorsolateral prefrontal cortex
Funahashi, S., Bruce, C. J., & Goldman-Rakic, P. S. (1989) · Journal of Neurophysiology · doi:10.1152/jn.1989.61.2.331 · Cited by 2,685 · see citing works
Cellular basis of working memory
Goldman-Rakic, P. S. (1995) · Neuron · doi:10.1016/0896-6273(95)90304-6 · Cited by 2,663 · see citing works
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463 · see citing works
Neuron Activity Related to Short-Term Memory
Fuster, J. M., & Alexander, G. E. (1971) · Science · doi:10.1126/science.173.3997.652 · Cited by 2,085 · see citing works
The importance of mixed selectivity in complex cognitive tasks
Rigotti, M., Barak, O., Warden, M. R., Wang, X.-J., Daw, N. D., Miller, E. K., & Fusi, S. (2013) · Nature · doi:10.1038/nature12160 · Cited by 1,639 · see citing works
Self-citationOlejnik, S., & Algina, J. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.4.434 · Cited by 1,622 · see citing works
Stimulus Specificity of Phase-Locked and Non-Phase-Locked 40 Hz Visual Responses in Human
Tallon‐Baudry, C., Bertrand, O., Delpuech, C., & Pernier, J. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-13-04240.1996 · Cited by 1,526 · see citing works
Neural Mechanisms of Visual Working Memory in Prefrontal Cortex of the Macaque
Miller, E. K., Erickson, C. A., & Desimone, R. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-16-05154.1996 · Cited by 1,441 · see citing works
Self-citationBrovelli, A., Ding, M., Ledberg, A., Chen, Y., Nakamura, R., & Bressler, S. L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308538101 · Cited by 1,065 · see citing works
Amit, D. (1997) · Cerebral Cortex · doi:10.1093/cercor/7.3.237 · Cited by 1,061 · see citing works
Inhibition-based rhythms: experimental and mathematical observations on network dynamics
Whittington, M. A., Traub, R. D., Kopell, N., Ermentrout, B., & Buhl, E. (2000) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(00)00173-2 · Cited by 953 · see citing works
‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework
Stokes, M. G. (2015) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2015.05.004 · Cited by 850 · see citing works
Gamma and Beta Bursts Underlie Working Memory
Lundqvist, M., Rose, J., Herman, P., Brincat, S. L., Buschman, T. J., & Miller, E. K. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.028 · Cited by 846 · see citing works
Self-citationHaegens, S., Nácher, V., Luna, R., Romo, R., & Jensen, O. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1117190108 · Cited by 738 · see citing works
Dynamic Coding for Cognitive Control in Prefrontal Cortex
Stokes, M. G., Kusunoki, M., Sigala, N., Nili, H., Gaffan, D., & Duncan, J. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.039 · Cited by 711 · see citing works
Post-movement beta synchronization: a correlate of an idling motor area?
Pfurtscheller, G., Stancák, A., & Neuper, C. (1996) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(95)00258-8 · Cited by 704 · see citing works
Chafee, M. V., & Goldman, P. S. (1998) · Journal of Neurophysiology · doi:10.1152/jn.1998.79.6.2919 · Cited by 655 · see citing works
Swann, N., Tandon, N., Canolty, R., Ellmore, T. M., McEvoy, L. K., Dreyer, S., DiSano, M., & Aron, A. R. (2009) · The Journal of Neuroscience · doi:10.1523/jneurosci.3359-09.2009 · Cited by 474 · see citing works
Sampling Properties of the Spectrum and Coherency of Sequences of Action Potentials
Jarvis, M. R., & Mitra, P. P. (2001) · Neural Computation · doi:10.1162/089976601300014312 · Cited by 392 · see citing works
Inhibition of mediodorsal thalamus disrupts thalamofrontal connectivity and cognition
Parnaudeau, S., O’Neill, P.-K., Bolkan, S. S., Ward, R. D., Abbas, A. I., Roth, B. L., Balsam, P. D., Gordon, J. A., & Kellendonk, C. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.038 · Cited by 387 · see citing works
Feingold, J., Gibson, D. J., DePasquale, B., & Graybiel, A. M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517629112 · Cited by 370 · see citing works
Haenschel, C., Baldeweg, T., Croft, R. J., Whittington, M. A., & Gruzelier, J. H. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.120162397 · Cited by 355 · see citing works
Fisch, L., Privman, E., Ramot, M., Harel, M., Nir, Y., Kipervasser, S., Andelman, F., Neufeld, M. Y., Kramer, U., Fried, I., et al. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.001 · Cited by 274 · see citing works
Variability in neuronal activity in primate cortex during working memory tasks
Shafi, M., Zhou, Y., Quintana, J., Chow, C., Fuster, J., & Bodner, M. (2007) · Neuroscience · doi:10.1016/j.neuroscience.2006.12.072 · Cited by 215 · see citing works
Lundqvist, M., Herman, P. A., & Lansner, A. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00029 · Cited by 199 · see citing works
Self-citationRepresentation of Multiple, Independent Categories in the Primate Prefrontal Cortex
Cromer, J. A., Roy, J. E., & Miller, E. K. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.005 · Cited by 190 · see citing works
Self-citationBistable, Irregular Firing and Population Oscillations in a Modular Attractor Memory Network
Lundqvist, M., Compte, A., & Lansner, A. (2010) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000803 · Cited by 173 · see citing works
Self-citationFrom fixed points to chaos: Three models of delayed discrimination
Barak, O., Sussillo, D., Romo, R., Tsodyks, M. V., & Abbott, L. F. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.02.002 · Cited by 172 · see citing works
Task-dependent changes in short-term memory in the prefrontal cortex
Warden, M. R., & Miller, E. K. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.1569-10.2010 · Cited by 171 · see citing works
Self-citationRhythm Generation through Period Concatenation in Rat Somatosensory Cortex
Kramer, M., Roopun, A. K., Carracedo, L. M., Traub, R. D., Whittington, M. A., & Kopell, N. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000169 · Cited by 125 · see citing works
Thalamic pathways underlying prefrontal cortex–medial temporal lobe oscillatory interactions
Ketz, N., Jensen, O. B., & O’Reilly, R. C. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.09.007 · Cited by 117 · see citing works
FEF-Controlled Alpha Delay Activity Precedes Stimulus-Induced Gamma-Band Activity in Visual Cortex
Popov, T. G., Kästner, S., & Jensen, O. B. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.3015-16.2017 · Cited by 117 · see citing works
Rainer, G., & Miller, E. K. (2002) · European Journal of Neuroscience · doi:10.1046/j.1460-9568.2002.01958.x · Cited by 113 · see citing works
Self-citationThe Representation of Multiple Objects in Prefrontal Neuronal Delay Activity
Warden, M. R., & Miller, E. K. (2007) · Cerebral Cortex · doi:10.1093/cercor/bhm070 · Cited by 111 · see citing works
Self-citationMeyers, E. M., Qi, X.-L., & Constantinidis, C. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1201022109 · Cited by 106 · see citing works
Hussar, C. R., & Pasternak, T. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1009956107 · Cited by 94 · see citing works
Beyond bistability: Biophysics and temporal dynamics of working memory
Durstewitz, D., & Seamans, J. K. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.06.094 · Cited by 93 · see citing works
Wimmer, K., Ramon, M., Pasternak, T., & Compte, A. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3678-15.2016 · Cited by 57 · see citing works
Hussar, C. R., & Pasternak, T. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.4075-12.2013 · Cited by 52 · see citing works
Neural correlates of working memory development in adolescent primates
Zhou, X., Zhu, D., Qi, X.-L., Li, S., King, S. G., Salinas, E., Stanford, T. R., & Constantinidis, C. (2016) · Nature Communications · doi:10.1038/ncomms13423 · Cited by 46 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Miller, E. K., Lundqvist, M., & Bastos, A. M. (2018) · Neuron · doi:10.1016/j.neuron.2018.09.023 · Cited by 797 · see citing works
Self-citationLayer and rhythm specificity for predictive routing
Bastos, A. M., Lundqvist, M., Waite, A. S., Kopell, N., & Miller, E. K. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2014868117 · Cited by 268 · see citing works
“The balance between alpha/beta and gamma reflect the encoding, maintenance, and read-out of working memory (56).”
Self-citationIn vivo ephaptic coupling allows memory network formation
Pinotsis, D. A., & Miller, E. K. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad251 · Cited by 62 · see citing works
Self-citationPreservation and Changes in Oscillatory Dynamics across the Cortical Hierarchy
Lundqvist, M., Bastos, A. M., & Miller, E. K. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01600 · Cited by 58 · see citing works
Self-citationLaw, R. G., Pugliese, S., Shin, H., Sliva, D. D., Lee, S., Neymotin, S., Moore, C., & Jones, S. R. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhab221 · Cited by 41 · see citing works
Intrinsic timescales and predictive allostatic interoception in brain health and disease
Ibanez, A., & Northoff, G. (2024) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105510 · Cited by 36 · see citing works
Wu (2021) · doi:10.1523/eneuro.0267-20.2020 · Cited by 6 · see citing works
Analog Cognition and Consciousness
Miller, E. K., Brincat, S. L., & Roy, J. E. (2026) · The Journal of Neuroscience · doi:10.1523/jneurosci.0711-26.2026 · Cited by 4 · see citing works
“For example, when information is read out of working memory or recalled from long-term memory, there is a decrease in alpha/beta power followed by an increase in gamma and spiking carrying the memories (Lundqvist et al., 2018; Gri ffi ths et al., 2019).”
Self-citation
- Authors
- Lundqvist, M., Herman, P., Warden, M. R., Brincat, S. L., & Miller, E. K.
- Affiliations
- Massachusetts Institute of Technology (US)
- KTH Royal Institute of Technology (SE)
- Cornell University (US)
- Corresponding author
- Lundqvist, Mikael
- Miller, Earl K.
- Venue
- Nature Communications
- Published
- 2018-01-26
- Volume
- 9
- Issue
- 1
- Pages
- 394-394
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5785952
- OpenAlex
- W2952185808
- Cited by
- 299
- References
- 44
- Citations by year
- 2026: 38 · 2025: 41 · 2024: 36 · 2023: 40 · 2022: 38 · 2021: 40 · 2020: 27 · 2019: 24 · 2018: 12 · 2017: 3
- FWCI
- 15.34
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- National Institutes of Health (1dp2mh109982-01)
- Multidisciplinary University Research Initiative (N00014-16-1-2832)
- Office of Naval Research (MURI N00014‐16‐1‐2832, ONR MURI N00014-16-1-2832, N00014-16-1–2832, N00014)
- National Institute of Mental Health (DP2 MH109982, R37MH087027, N00014-16-1-2832)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- working memory, gamma oscillations, beta oscillations, behavioral errors
- MeSH terms
- Animals, Beta Rhythm, Female, Macaca mulatta, Male, Memory, Short-Term, Pattern Recognition, Visual, Photic Stimulation, Prefrontal Cortex, Gamma Rhythm
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review