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• W4366992991 abstract "•Working memory performance is linked to frequency-specific neural activity •Different to-be-remembered items are associated with different beta (25 Hz) phases •Theta phase seems to coordinate behaviorally relevant beta-band activity •Rhythmic temporal coordination helps to prevent representational conflicts Selective attention 1 Moore T. Zirnsak M. Neural mechanisms of selective visual attention. Annu. Rev. Psychol. 2017; 68: 47-72https://doi.org/10.1146/annurev-psych-122414-033400 Crossref PubMed Scopus (219) Google Scholar is characterized by alternating states associated with either attentional sampling or attentional shifting, helping to prevent functional conflicts by isolating function-specific neural activity in time. 2 Fiebelkorn I.C. Kastner S. Functional specialization in the attention network. Annu. Rev. Psychol. 2020; 71: 221-249https://doi.org/10.1146/annurev-psych-010418-103429 Crossref PubMed Scopus (66) Google Scholar ,3 Fiebelkorn I.C. Kastner S. A rhythmic theory of attention. Trends Cogn. Sci. 2019; 23: 87-101https://doi.org/10.1016/j.tics.2018.11.009 Abstract Full Text Full Text PDF PubMed Scopus (172) Google Scholar ,4 Benedetto A. Morrone M.C. Tomassini A. The common rhythm of action and perception. J. Cogn. Neurosci. 2020; 32: 187-200https://doi.org/10.1162/jocn_a_01436 Crossref PubMed Scopus (27) Google Scholar ,5 Landau A.N. Neuroscience: A mechanism for rhythmic sampling in vision. Curr. Biol. 2018; 28: R830-R832https://doi.org/10.1016/j.cub.2018.05.081 Abstract Full Text Full Text PDF PubMed Scopus (15) Google Scholar We hypothesized that such rhythmic temporal coordination might also help to prevent representational conflicts during working memory. 6 Baddeley A. Working memory. Science. 1992; 255: 556-559https://doi.org/10.1126/science.1736359 Crossref PubMed Scopus (4383) Google Scholar Multiple items can be simultaneously held in working memory, and these items can be represented by overlapping neural populations. 7 Panichello M.F. Buschman T.J. Shared mechanisms underlie the control of working memory and attention. Nature. 2021; 592: 601-605https://doi.org/10.1038/s41586-021-03390-w Crossref PubMed Scopus (71) Google Scholar ,8 Warden M.R. Miller E.K. The representation of multiple objects in prefrontal neuronal delay activity. Cereb. Cortex. 2007; 17: i41-i50https://doi.org/10.1093/cercor/bhm070 Crossref PubMed Scopus (81) Google Scholar ,9 Rigotti M. Barak O. Warden M.R. Wang X.J. Daw N.D. Miller E.K. Fusi S. The importance of mixed selectivity in complex cognitive tasks. Nature. 2013; 497: 585-590https://doi.org/10.1038/nature12160 Crossref PubMed Scopus (772) Google Scholar Traditional theories propose that the short-term storage of to-be-remembered items occurs through persistent neural activity, 10 Constantinidis C. Funahashi S. Lee D. Murray J.D. Qi X.L. Wang M. Arnsten A.F.T. Persistent spiking activity underlies working memory. J. Neurosci. 2018; 38: 7020-7028https://doi.org/10.1523/JNEUROSCI.2486-17.2018 Crossref PubMed Scopus (125) Google Scholar ,11 Fuster J.M. Alexander G.E. Neuron activity related to short-term memory. Science. 1971; 173: 652-654https://doi.org/10.1126/science.173.3997.652 Crossref PubMed Scopus (1360) Google Scholar ,12 Goldman-Rakic P.S. Cellular basis of working memory. Neuron. 1995; 14: 477-485https://doi.org/10.1016/0896-6273(95)90304-6 Abstract Full Text PDF PubMed Scopus (1886) Google Scholar but when neurons are simultaneously representing multiple items, persistent activity creates a potential for representational conflicts. In comparison, more recent, “activity-silent” theories of working memory propose that synaptic changes also contribute to short-term storage of to-be-remembered items. 13 Miller E.K. Lundqvist M. Bastos A.M. Working Memory 2.0. Neuron. 2018; 100: 463-475https://doi.org/10.1016/j.neuron.2018.09.023 Abstract Full Text Full Text PDF PubMed Scopus (271) Google Scholar ,14 Kamiński J. Rutishauser U. Between persistently active and activity-silent frameworks: novel vistas on the cellular basis of working memory. Ann. NY Acad. Sci. 2020; 1464: 64-75https://doi.org/10.1111/nyas.14213 Crossref PubMed Scopus (31) Google Scholar ,15 Lundqvist M. Herman P. Miller E.K. Working memory: delay activity, yes! Persistent activity? Maybe not. J. Neurosci. 2018; 38: 7013-7019https://doi.org/10.1523/JNEUROSCI.2485-17.2018 Crossref PubMed Scopus (124) Google Scholar ,16 Stokes M.G. ‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework. Trends Cogn. Sci. 2015; 19: 394-405https://doi.org/10.1016/j.tics.2015.05.004 Abstract Full Text Full Text PDF PubMed Scopus (385) Google Scholar Transient bursts in neural activity, 17 Lundqvist M. Rose J. Herman P. Brincat S.L. Buschman T.J. Miller E.K. Gamma and beta bursts underlie working memory. Neuron. 2016; 90: 152-164https://doi.org/10.1016/j.neuron.2016.02.028 Abstract Full Text Full Text PDF PubMed Scopus (380) Google Scholar rather than persistent activity, could serve to occasionally refresh these synaptic changes. Here, we used EEG and response times to test whether rhythmic temporal coordination helps to isolate neural activity associated with different to-be-remembered items, thereby helping to prevent representational conflicts. Consistent with this hypothesis, we report that the relative strength of different item representations alternates over time as a function of the frequency-specific phase. Although RTs were linked to theta (∼6 Hz) and beta (∼25 Hz) phases during a memory delay, the relative strength of item representations only alternated as a function of the beta phase. The present findings (1) are consistent with rhythmic temporal coordination being a general mechanism for preventing functional or representational conflicts during cognitive processes and (2) inform models describing the role of oscillatory dynamics in organizing working memory. 13 Miller E.K. Lundqvist M. Bastos A.M. Working Memory 2.0. Neuron. 2018; 100: 463-475https://doi.org/10.1016/j.neuron.2018.09.023 Abstract Full Text Full Text PDF PubMed Scopus (271) Google Scholar ,18 Lisman J.E. Idiart M.A. Storage of 7 +/- 2 short-term memories in oscillatory subcycles. Science. 1995; 267: 1512-1515 Crossref PubMed Scopus (1054) Google Scholar ,19 Siegel M. Warden M.R. Miller E.K. Phase-dependent neuronal coding of objects in short-term memory. Proc. Natl. Acad. Sci. USA. 2009; 106: 21341-21346https://doi.org/10.1073/pnas.0908193106 Crossref PubMed Scopus (388) Google Scholar ,20 Bahramisharif A. Jensen O. Jacobs J. Lisman J. Serial representation of items during working memory maintenance at letter-selective cortical sites. PLoS Biol. 2018; 16: e2003805https://doi.org/10.1371/journal.pbio.2003805 Crossref PubMed Scopus (48) Google Scholar ,21 Kamiński J. Brzezicka A. Mamelak A.N. Rutishauser U. Combined phase-rate coding by persistently active neurons as a mechanism for maintaining multiple items in working memory in humans. Neuron. 2020; 106 (256-264.e3)https://doi.org/10.1016/j.neuron.2020.01.032 Abstract Full Text Full Text PDF PubMed Scopus (19) Google Scholar Selective attention 1 Moore T. Zirnsak M. Neural mechanisms of selective visual attention. Annu. Rev. Psychol. 2017; 68: 47-72https://doi.org/10.1146/annurev-psych-122414-033400 Crossref PubMed Scopus (219) Google Scholar is characterized by alternating states associated with either attentional sampling or attentional shifting, helping to prevent functional conflicts by isolating function-specific neural activity in time. 2 Fiebelkorn I.C. Kastner S. Functional specialization in the attention network. Annu. Rev. Psychol. 2020; 71: 221-249https://doi.org/10.1146/annurev-psych-010418-103429 Crossref PubMed Scopus (66) Google Scholar ,3 Fiebelkorn I.C. Kastner S. A rhythmic theory of attention. Trends Cogn. Sci. 2019; 23: 87-101https://doi.org/10.1016/j.tics.2018.11.009 Abstract Full Text Full Text PDF PubMed Scopus (172) Google Scholar ,4 Benedetto A. Morrone M.C. Tomassini A. The common rhythm of action and perception. J. Cogn. Neurosci. 2020; 32: 187-200https://doi.org/10.1162/jocn_a_01436 Crossref PubMed Scopus (27) Google Scholar ,5 Landau A.N. Neuroscience: A mechanism for rhythmic sampling in vision. Curr. Biol. 2018; 28: R830-R832https://doi.org/10.1016/j.cub.2018.05.081 Abstract Full Text Full Text PDF PubMed Scopus (15) Google Scholar We hypothesized that such rhythmic temporal coordination might also help to prevent representational conflicts during working memory. 6 Baddeley A. Working memory. Science. 1992; 255: 556-559https://doi.org/10.1126/science.1736359 Crossref PubMed Scopus (4383) Google Scholar Multiple items can be simultaneously held in working memory, and these items can be represented by overlapping neural populations. 7 Panichello M.F. Buschman T.J. Shared mechanisms underlie the control of working memory and attention. Nature. 2021; 592: 601-605https://doi.org/10.1038/s41586-021-03390-w Crossref PubMed Scopus (71) Google Scholar ,8 Warden M.R. Miller E.K. The representation of multiple objects in prefrontal neuronal delay activity. Cereb. Cortex. 2007; 17: i41-i50https://doi.org/10.1093/cercor/bhm070 Crossref PubMed Scopus (81) Google Scholar ,9 Rigotti M. Barak O. Warden M.R. Wang X.J. Daw N.D. Miller E.K. Fusi S. The importance of mixed selectivity in complex cognitive tasks. Nature. 2013; 497: 585-590https://doi.org/10.1038/nature12160 Crossref PubMed Scopus (772) Google Scholar Traditional theories propose that the short-term storage of to-be-remembered items occurs through persistent neural activity, 10 Constantinidis C. Funahashi S. Lee D. Murray J.D. Qi X.L. Wang M. Arnsten A.F.T. Persistent spiking activity underlies working memory. J. Neurosci. 2018; 38: 7020-7028https://doi.org/10.1523/JNEUROSCI.2486-17.2018 Crossref PubMed Scopus (125) Google Scholar ,11 Fuster J.M. Alexander G.E. Neuron activity related to short-term memory. Science. 1971; 173: 652-654https://doi.org/10.1126/science.173.3997.652 Crossref PubMed Scopus (1360) Google Scholar ,12 Goldman-Rakic P.S. Cellular basis of working memory. Neuron. 1995; 14: 477-485https://doi.org/10.1016/0896-6273(95)90304-6 Abstract Full Text PDF PubMed Scopus (1886) Google Scholar but when neurons are simultaneously representing multiple items, persistent activity creates a potential for representational conflicts. In comparison, more recent, “activity-silent” theories of working memory propose that synaptic changes also contribute to short-term storage of to-be-remembered items. 13 Miller E.K. Lundqvist M. Bastos A.M. Working Memory 2.0. Neuron. 2018; 100: 463-475https://doi.org/10.1016/j.neuron.2018.09.023 Abstract Full Text Full Text PDF PubMed Scopus (271) Google Scholar ,14 Kamiński J. Rutishauser U. Between persistently active and activity-silent frameworks: novel vistas on the cellular basis of working memory. Ann. NY Acad. Sci. 2020; 1464: 64-75https://doi.org/10.1111/nyas.14213 Crossref PubMed Scopus (31) Google Scholar ,15 Lundqvist M. Herman P. Miller E.K. Working memory: delay activity, yes! Persistent activity? Maybe not. J. Neurosci. 2018; 38: 7013-7019https://doi.org/10.1523/JNEUROSCI.2485-17.2018 Crossref PubMed Scopus (124) Google Scholar ,16 Stokes M.G. ‘Activity-silent’ working memory in prefrontal cortex: a dynamic coding framework. Trends Cogn. Sci. 2015; 19: 394-405https://doi.org/10.1016/j.tics.2015.05.004 Abstract Full Text Full Text PDF PubMed Scopus (385) Google Scholar Transient bursts in neural activity, 17 Lundqvist M. Rose J. Herman P. Brincat S.L. Buschman T.J. Miller E.K. Gamma and beta bursts underlie working memory. Neuron. 2016; 90: 152-164https://doi.org/10.1016/j.neuron.2016.02.028 Abstract Full Text Full Text PDF PubMed Scopus (380) Google Scholar rather than persistent activity, could serve to occasionally refresh these synaptic changes. Here, we used EEG and response times to test whether rhythmic temporal coordination helps to isolate neural activity associated with different to-be-remembered items, thereby helping to prevent representational conflicts. Consistent with this hypothesis, we report that the relative strength of different item representations alternates over time as a function of the frequency-specific phase. Although RTs were linked to theta (∼6 Hz) and beta (∼25 Hz) phases during a memory delay, the relative strength of item representations only alternated as a function of the beta phase. The present findings (1) are consistent with rhythmic temporal coordination being a general mechanism for preventing functional or representational conflicts during cognitive processes and (2) inform models describing the role of oscillatory dynamics in organizing working memory. 13 Miller E.K. Lundqvist M. Bastos A.M. Working Memory 2.0. Neuron. 2018; 100: 463-475https://doi.org/10.1016/j.neuron.2018.09.023 Abstract Full Text Full Text PDF PubMed Scopus (271) Google Scholar ,18 Lisman J.E. Idiart M.A. Storage of 7 +/- 2 short-term memories in oscillatory subcycles. Science. 1995; 267: 1512-1515 Crossref PubMed Scopus (1054) Google Scholar ,19 Siegel M. Warden M.R. Miller E.K. Phase-dependent neuronal coding of objects in short-term memory. Proc. Natl. Acad. Sci. USA. 2009; 106: 21341-21346https://doi.org/10.1073/pnas.0908193106 Crossref PubMed Scopus (388) Google Scholar ,20 Bahramisharif A. Jensen O. Jacobs J. Lisman J. Serial representation of items during working memory maintenance at letter-selective cortical sites. PLoS Biol. 2018; 16: e2003805https://doi.org/10.1371/journal.pbio.2003805 Crossref PubMed Scopus (48) Google Scholar ,21 Kamiński J. Brzezicka A. Mamelak A.N. Rutishauser U. Combined phase-rate coding by persistently active neurons as a mechanism for maintaining multiple items in working memory in humans. Neuron. 2020; 106 (256-264.e3)https://doi.org/10.1016/j.neuron.2020.01.032 Abstract Full Text Full Text PDF PubMed Scopus (19) Google Scholar" @default.
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• W4366992991 date "2023-05-01" @default.
• W4366992991 modified "2023-09-29" @default.
• W4366992991 title "Rhythmic temporal coordination of neural activity prevents representational conflict during working memory" @default.
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