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Prefrontal cortex and basal ganglia control access to working memory
Abstract
Our capacity to store information in working memory might be determined by the degree to which only relevant information is remembered. The question remains as to how this selection of relevant items to be remembered is accomplished. Here we show that activity in the prefrontal cortex and basal ganglia preceded the filtering of irrelevant information and that activity, particularly in the globus pallidus, predicted the extent to which only relevant information is stored. The preceding frontal and basal ganglia activity were also associated with inter-individual differences in working memory capacity. These findings reveal a mechanism by which frontal and basal ganglia activity exerts attentional control over access to working memory storage in the parietal cortex in humans, and makes an important contribution to inter-individual differences in working memory capacity.
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“The empirical neuroimaging literature has bolstered these conceptualizations by identifying several distinct sets of brain areas underlying working-memory performance (13–17).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [16]
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“The specificity of these correlations to the frontal systems suggests that network reconfiguration may form a putative neurophysiological mechanism of cognitive flexibility and executive function more generally (16).”
From Dynamic reconfiguration of frontal brain networks during executive cognition in humans (2015) · cites this paper as [16]
Citations
Cites
An Integrative Theory of Prefrontal Cortex Function
Miller, E. K., & Cohen, J. D. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.167 · Cited by 12,803
Parallel organization of functionally segregated circuits linking basal ganglia and cortex
Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527
The magical number 4 in short-term memory: A reconsideration of mental storage capacity
Cowan, N. (2001) · Behavioral and Brain Sciences · doi:10.1017/s0140525x01003922 · Cited by 6,779
Neural activity predicts individual differences in visual working memory capacity
Vogel, E. K., & Machizawa, M. G. (2004) · Nature · doi:10.1038/nature02447 · Cited by 1,883
Kane, M. J., & Engle, R. W. (2003) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.132.1.47 · Cited by 1,725
Capacity limit of visual short-term memory in human posterior parietal cortex
Todd, J. J., & Marois, R. (2004) · Nature · doi:10.1038/nature02466 · Cited by 1,521
A controlled-attention view of working-memory capacity.
Kane, M. J., Bleckley, M. K., Conway, A. R. A., & Engle, R. W. (2001) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.130.2.169 · Cited by 1,414
Neural measures reveal individual differences in controlling access to working memory
Vogel, E. K., McCollough, A. W., & Machizawa, M. G. (2005) · Nature · doi:10.1038/nature04171 · Cited by 1,367
Overlapping mechanisms of attention and spatial working memory
Awh, E., & Jonides, J. (2001) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01593-x · Cited by 1,229
Working memory capacity and its relation to general intelligence
Conway, A. R. A., Kane, M. J., & Engle, R. W. (2003) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2003.10.005 · Cited by 1,223
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Volpe, J. J. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70294-1 · Cited by 2,501
Inverted-U–Shaped Dopamine Actions on Human Working Memory and Cognitive Control
Cools, R., & D'Esposito, M. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.03.028 · Cited by 1,673
Training and plasticity of working memory
Klingberg, T. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.05.002 · Cited by 1,585
Self-citationTop-down modulation: bridging selective attention and working memory
Gazzaley, A., & Nobre, A. C. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.11.014 · Cited by 1,404
Is working memory training effective?
Shipstead, Z., Redick, T. S., & Engle, R. W. (2012) · Psychological Bulletin · doi:10.1037/a0027473 · Cited by 1,101
Visual working memory capacity: from psychophysics and neurobiology to individual differences
Luck, S. J., & Vogel, E. K. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.06.006 · Cited by 1,167
The structural basis of inter-individual differences in human behaviour and cognition
Kanai, R., & Rees, G. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn3000 · Cited by 1,055
Transfer of Learning After Updating Training Mediated by the Striatum
Dahlin, E., Neely, A. S., Larsson, A., Bäckman, L., & Nyberg, L. (2008) · Science · doi:10.1126/science.1155466 · Cited by 892
Dynamic reconfiguration of frontal brain networks during executive cognition in humans
Braun, U., Schäfer, A., Walter, H., Erk, S., Romanczuk-Seiferth, N., Haddad, L., Schweiger, J. I., Grimm, O., Heinz, A., Tost, H., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1422487112 · Cited by 791
Task-free MRI predicts individual differences in brain activity during task performance
Tavor, I., Jones, Ō. P., Mars, R. B., Smith, S. M., Behrens, T. E. J., & Jbabdi, S. (2016) · Science · doi:10.1126/science.aad8127 · Cited by 756
Neurocognitive Architecture of Working Memory
Eriksson, J., Vogel, E. K., Lansner, A., Bergström, F., & Nyberg, L. H. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.020 · Cited by 709
Frontal Cortex and the Hierarchical Control of Behavior
Badre, D., & Nee, D. E. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.11.005 · Cited by 611
The image of time: A voxel-wise meta-analysis
Wiener, M., Turkeltaub, P., & Coslett, H. B. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.064 · Cited by 594
Mindfulness meditation training alters cortical representations of interoceptive attention
Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2013) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nss066 · Cited by 566
Dopamine and Cognitive Control in Prefrontal Cortex
Ott, T., & Nieder, A. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.12.006 · Cited by 530
The hierarchical basis of neurovisceral integration
Smith, R., Thayer, J. F., Khalsa, S. S., & Lane, R. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.003 · Cited by 523
A fronto–striato–subthalamic–pallidal network for goal-directed and habitual inhibition
Jahanshahi, M., Obeso, I., Rothwell, J. C., & Obeso, J. A. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn4038 · Cited by 521
Cushman, F. A. (2013) · Personality and Social Psychology Review · doi:10.1177/1088868313495594 · Cited by 507
Uddin, L. Q., Supekar, K., Amin, H., Rykhlevskaia, E. I., Nguyen, D. A., Greicius, M. D., & Menon, V. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq011 · Cited by 473
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Bäckman, L., Lindenberger, U., Li, S.-C., & Nyberg, L. (2010) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.008 · Cited by 414
A boost and bounce theory of temporal attention.
Olivers, C. N. L., & Meeter, M. (2008) · Psychological Review · doi:10.1037/a0013395 · Cited by 429
Ester, E. F., Sprague, T. C., & Serences, J. T. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.013 · Cited by 427
Nieder, A. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.40 · Cited by 406
Okon-Singer, H., Hendler, T., Pessoa, L., & Shackman, A. J. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00058 · Cited by 371
Working memory plasticity in old age: practice gain, transfer, and maintenance
Li, S.-C., Schmiedek, F., Huxhold, O., Röcke, C., Smith, J., & Lindenberger, U. (2008) · Psychology and Aging · doi:10.1037/a0014343 · Cited by 369
Alekseichuk, I., Turi, Z., de Lara, G., Antal, A., & Paulus, W. (2016) · Current Biology · doi:10.1016/j.cub.2016.04.035 · Cited by 389
Mechanism for top-down control of working memory capacity
Edin, F., Klingberg, T., Johansson, P., McNab, F., Tegnér, J., & Compte, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901894106 · Cited by 365
Self-citationWorking, declarative and procedural memory in specific language impairment
Lum, J. A. G., Conti‐Ramsden, G., Page, D., & Ullman, M. T. (2011) · Cortex · doi:10.1016/j.cortex.2011.06.001 · Cited by 410
Human Variation in Overriding Attentional Capture
Fukuda, K., & Vogel, E. K. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2145-09.2009 · Cited by 381
Shulman, G. L., Astafiev, S. V., Franke, D., Pope, D. L. W., Snyder, A. Z., McAvoy, M. P., & Corbetta, M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.5609-08.2009 · Cited by 372
Role of dopamine in the motivational and cognitive control of behavior
Cools, R. (2008) · The Neuroscientist · doi:10.1177/1073858408317009 · Cited by 352
Stocco, A., Lebiere, C. J., & Anderson, J. R. (2010) · Psychological Review · doi:10.1037/a0019077 · Cited by 383
Frank, M. J., & Badre, D. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr114 · Cited by 340
Working memory and DLPFC inefficiency in schizophrenia: The FBIRN study
Potkin, S. G., Turner, J. A., Brown, G. G., McCarthy, G., Greve, D. N., Glover, G. H., Manoach, D. S., Belger, A., Diaz, M. T., Wible, C. G., et al. (2008) · Schizophrenia Bulletin · doi:10.1093/schbul/sbn162 · Cited by 327
Visual working memory as visual attention sustained internally over time
Chun, M. M. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.01.029 · Cited by 345
Goschke, T., & Bolte, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.07.015 · Cited by 319
Decoding the Contents of Visual Short-Term Memory from Human Visual and Parietal Cortex
Christophel, T. B., Hebart, M. N., & Haynes, J.-D. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0184-12.2012 · Cited by 295
McLaughlin, K. A., Sheridan, M. A., Winter, W., Fox, N. A., Zeanah, C. H., & Nelson, C. A. (2014) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.08.016 · Cited by 288
Erickson, L. C., & Thiessen, E. D. (2015) · Developmental Review · doi:10.1016/j.dr.2015.05.002 · Cited by 307
Sheridan, M. A., Peverill, M., Finn, A. S., & McLaughlin, K. A. (2017) · Development and Psychopathology · doi:10.1017/s0954579417001390 · Cited by 276
Subcortical Structures and Cognition
Koziol, L. F., & Budding, D. E. (2009) · Springer eBooks · doi:10.1007/978-0-387-84868-6 · Cited by 277
Corticocentric myopia: old bias in new cognitive sciences
Parvizi, J. (2009) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2009.04.008 · Cited by 260
Nash Unsworth, A., & Robison, M. K. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1220-5 · Cited by 277
A meta-analysis of neuroimaging studies on divergent thinking using activation likelihood estimation
Wu, X., Yang, W., Tong, D., Sun, J., Chen, Q., Wei, D., Zhang, Q., Zhang, M., & Qiu, J. (2015) · Human Brain Mapping · doi:10.1002/hbm.22801 · Cited by 250
Smittenaar, P., FitzGerald, T. H. B., Romei, V., Wright, N. D., & Dolan, R. J. (2013) · Neuron · doi:10.1016/j.neuron.2013.08.009 · Cited by 244
Comparing the prefrontal cortex of rats and primates: Insights from electrophysiology
Seamans, J. K., Lapish, C. C., & Durstewitz, D. (2008) · Neurotoxicity Research · doi:10.1007/bf03033814 · Cited by 278
Does working memory training generalize?
Shipstead, Z., Redick, T. S., & Engle, R. W. (2010) · Psychologica Belgica · doi:10.5334/pb-50-3-4-245 · Cited by 242
Takeuchi, H., Taki, Y., Sassa, Y., Hashizume, H., Sekiguchi, A., Fukushima, A., & Kawashima, R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.078 · Cited by 244
Working Memory Capacity and Fluid Intelligence: Maintenance and Disengagement
Shipstead, Z., Harrison, T. L., & Engle, R. W. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650647 · Cited by 238
Attentional Mechanisms of Distractor Suppression
Geng, J. J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414525780 · Cited by 237
Attentional modulation of primary interoceptive and exteroceptive cortices.
Farb, N. A. S., Segal, Z. V., & Anderson, A. K. (2013) · Cerebral Cortex · doi:10.1093/cercor/bhr385 · Cited by 235
Jost, K., Bryck, R. L., Vogel, E. K., & Mayr, U. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhq185 · Cited by 251
Burgess, G. C., Gray, J. R., Conway, A. R. A., & Braver, T. S. (2011) · Journal of Experimental Psychology: General · doi:10.1037/a0024695 · Cited by 231
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Serences, J. T. (2016) · Vision Research · doi:10.1016/j.visres.2016.09.010 · Cited by 247
Flexible shaping: How learning in small steps helps
Krueger, K. A., & Dayan, P. (2009) · Cognition · doi:10.1016/j.cognition.2008.11.014 · Cited by 233
Stevens, A. A., Tappon, S. C., Garg, A., & Fair, D. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0030468 · Cited by 212
Darki, F., & Klingberg, T. (2015) · Cerebral Cortex · doi:10.1093/cercor/bht352 · Cited by 212
Self-citationFeredoes, E. A., Heinen, K., Weiskopf, N., Ruff, C. C., & Driver, J. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106439108 · Cited by 223
McNab, F., Leroux, G., Strand, F., Thorell, L., Bergman, S., & Klingberg, T. (2008) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2008.04.023 · Cited by 209
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Reineberg, A. E., Andrews-Hanna, J. R., Depue, B. E., Friedman, N. P., & Banich, M. T. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.09.045 · Cited by 206
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Johnson, M. K., McMahon, R. P., Robinson, B. M., Harvey, A. N., Hahn, B., Leonard, C. J., Luck, S. J., & Gold, J. M. (2013) · Neuropsychology · doi:10.1037/a0032060 · Cited by 200
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Cole, M. W., Laurent, P. A., & Stocco, A. (2012) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-012-0125-7 · Cited by 208
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Barendse, E. M., Hendriks, M. P. H., Jansen, J. F. A., Backes, W. H., Hofman, P. A. M., Thoonen, G. H. J., Kessels, R. P. C., & Aldenkamp, A. P. (2013) · Journal of Neurodevelopmental Disorders · doi:10.1186/1866-1955-5-14 · Cited by 208
Boot, N. C., Baas, M., van Gaal, S., Cools, R., & Dreu, C. K. W. D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.007 · Cited by 198
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Voytek, B., & Knight, R. T. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1007277107 · Cited by 180
Inability to suppress salient distractors predicts low visual working memory capacity
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Waiting to perceive: Reward or punishment?
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Foster, J. J., Bsales, E. M., Jaffe, R. J., & Awh, E. (2017) · Current Biology · doi:10.1016/j.cub.2017.09.031 · Cited by 170
Panksepp, J., Lane, R. D., Solms, M., & Smith, R. S. (2016) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2016.09.010 · Cited by 182
Boardman, J. P., Craven, C. L., Valappil, S., Counsell, S. J., Dyet, L. E., Rueckert, D., Aljabar, P., Rutherford, M., Chew, A. T. M., & Allsop, J. M. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.261 · Cited by 165
Frank, M. J., Scheres, A., & Sherman, S. J. (2007) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2007.2058 · Cited by 168
Lee, E.-Y., Cowan, N., Vogel, E. K., Rolan, T., Valle‐Inclán, F., & Hackley, S. A. (2010) · Brain · doi:10.1093/brain/awq197 · Cited by 164
Lifespan age differences in working memory: A two-component framework
Sander, M. C., Lindenberger, U., & Werkle‐Bergner, M. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.06.004 · Cited by 171
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Melnick, M. D., Harrison, B. R., Park, S., Bennetto, L., & Tadin, D. (2013) · Current Biology · doi:10.1016/j.cub.2013.04.053 · Cited by 166
Oscillatory multiplexing of neural population codes for interval timing and working memory
Gu, B.-M., van Rijn, H., & Meck, W. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.10.008 · Cited by 164
Enhanced frontal function in Parkinson's disease
Cools, R., Miyakawa, A., Sheridan, M. A., & D’Esposito, M. (2009) · Brain · doi:10.1093/brain/awp301 · Cited by 161
Baier, B., Karnath, H. ‐., Dieterich, M., Birklein, F., Heinze, C., & Müller, N. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.1513-10.2010 · Cited by 154
Stocco, A., Yamasaki, B. L., Natalenko, R., & Prat, C. S. (2012) · International Journal of Bilingualism · doi:10.1177/1367006912456617 · Cited by 165
Kawasaki, M., Kitajo, K., & Yamaguchi, Y. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2010.07217.x · Cited by 163
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Cools, R. (2016) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1401 · Cited by 164
Bhattacharyya, S., Wilson, R., Appiah-Kusi, E., O'Neill, A., Brammer, M., Perez, J., Murray, R., Allen, P., Bossong, M., & McGuire, P. (2018) · JAMA psychiatry · doi:10.1001/jamapsychiatry.2018.2309 · Cited by 134
Fukuda, K., Mance, I., & Vogel, E. K. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5003-14.2015 · Cited by 148
V. NIH TOOLBOX COGNITION BATTERY (CB): MEASURING WORKING MEMORY
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Action-verb processing in Parkinson’s disease: new pathways for motor–language coupling
Cardona, J. F., Gershanik, O. S., Gelormini‐Lezama, C., Houck, A. L., Cardona, S., Kargieman, L., Trujillo, N., Arévalo, A. L., Amoruso, L., Manes, F. F., et al. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0510-1 · Cited by 140
Detailed sensory memory, sloppy working memory
Sligte, I. G. (2010) · Frontiers in Psychology · doi:10.3389/fpsyg.2010.00175 · Cited by 142
Genetic contributions to avoidance-based decisions: striatal D2 receptor polymorphisms
Frank, M. J., & Hutchison, K. E. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.04.048 · Cited by 144
Owens, M., Koster, E. H. W., & Derakshan, N. (2013) · Psychophysiology · doi:10.1111/psyp.12010 · Cited by 150
Implicit sequence learning and working memory: Correlated or complicated?
Janacsek, K., & Németh, D. (2013) · Cortex · doi:10.1016/j.cortex.2013.02.012 · Cited by 145
Age-related changes in working memory and the ability to ignore distraction
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Self-citationFailure to filter: Anxious individuals show inefficient gating of threat from working memory
Stout, D. M., Shackman, A. J., & Larson, C. L. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00058 · Cited by 133
Metadata
- Authors
- McNab, F., & Klingberg, T.
- Affiliations
- Karolinska Institutet (SE)
- Corresponding author
- Klingberg, Torkel
- Venue
- Nature Neuroscience
- Published
- 2007-12-09
- Volume
- 11
- Issue
- 1
- Pages
- 103-107
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W1964320082
- Cited by
- 989
- References
- 31
- Citations by year
- 2026: 24 · 2025: 41 · 2024: 40 · 2023: 34 · 2022: 29 · 2021: 61 · 2020: 53 · 2019: 39 · 2018: 62 · 2017: 70 · 2016: 65 · 2015: 63 · 2014: 71 · 2013: 77 · 2012: 65
- FWCI
- 21.88
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- working memory, prefrontal cortex, basal ganglia, globus pallidus, attentional control, information filtering, individual differences, working memory capacity, parietal cortex, neural activity prediction
- MeSH terms
- Adult, Basal Ganglia, Brain Mapping, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Memory, Short-Term, Neuropsychological Tests, Oxygen, Photic Stimulation, Psychomotor Performance, Prefrontal Cortex
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 ›
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