The DOI matches its Crossref record; 42 of the 43 references it cites were found in a registry or an index.
Neural Suppression of Irrelevant Information Underlies Optimal Working Memory Performance
Open accessAbstract
Our ability to focus attention on task-relevant information and ignore distractions is reflected by differential enhancement and suppression of neural activity in sensory cortex (i.e., top-down modulation). Such selective, goal-directed modulation of activity may be intimately related to memory, such that the focus of attention biases the likelihood of successfully maintaining relevant information by limiting interference from irrelevant stimuli. Despite recent studies elucidating the mechanistic overlap between attention and memory, the relationship between top-down modulation of visual processing during working memory (WM) encoding, and subsequent recognition performance has not yet been established. Here, we provide neurophysiological evidence in healthy, young adults that top-down modulation of early visual processing (< 200 ms from stimulus onset) is intimately related to subsequent WM performance, such that the likelihood of successfully remembering relevant information is associated with limiting interference from irrelevant stimuli. The consequences of a failure to ignore distractors on recognition performance was replicated for two types of feature-based memory, motion direction and color. Moreover, attention to irrelevant stimuli was reflected neurally during the WM maintenance period as an increased memory load. These results suggest that neural enhancement of relevant information is not the primary determinant of high-level performance, but rather optimal WM performance is dependent on effectively filtering irrelevant information through neural suppression to prevent overloading a limited memory capacity.
Overview
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
Verification
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“Any information not relevant to satisfying compulsions is not only meaningless but may be entirely ignored, which is consistent with observations of human behaviour [6,5] (i.e. one may be unable to perceive something in the stream of sensorimotor stimuli because it is filtered out).”
From Compression, The Fermi Paradox and Artificial Super-Intelligence (2022) · cites this paper as [6]
Experimental — accuracy not yet measuredIn the citing paper
“In addition, the inability to filter irrelevant sensory stimuli may also impair performance on executive function tasks [33].”
From Sensory processing in preterm preschoolers and its association with executive function (2015) · cites this paper as [33]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Studies of interference in serial verbal reactions
Stroop, J. R. (1935) · Journal of Experimental Psychology · doi:10.1037/h0054651 · Cited by 18,622
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
Effects of noise letters upon the identification of a target letter in a nonsearch task
Eriksen, B. A., & Eriksen, C. W. (1974) · Perception & Psychophysics · doi:10.3758/bf03203267 · Cited by 7,230
The capacity of visual working memory for features and conjunctions
Luck, S. J., & Vogel, E. K. (1997) · Nature · doi:10.1038/36846 · Cited by 4,265
High-speed scanning in human memory
Sternberg, S. (1966) · Science · doi:10.1126/science.153.3736.652 · Cited by 3,576
Working memory, comprehension, and aging: A review and a new view
Hasher, L., & Zacks, R. T. (1988) · Psychology of Learning and Motivation · doi:10.1016/s0079-7421(08)60041-9 · Cited by 3,456
Memory-scanning: mental processes revealed by reaction-time experiments.
Sternberg, S. (1969) · PubMed · Cited by 1,943
Load Theory of Selective Attention and Cognitive Control
Lavie, N., Hirst, A., de Fockert, J. W., & Viding, E. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.3.339 · Cited by 1,812 · cited 1×
“Load theory predicts a WM load will produce an impairment in selective attention marked by increased distractibility (Lavie et al., 2004).”
Research works printed but not linked: 1
- 10.1046/j.1460-9568.2001.01397.x · DOI
Cited by
Sorted by citations
Items 101–200 of 302
Age-equivalent Top–Down Modulation during Cross-modal Selective Attention
Guerreiro, M. J. S., Anguera, J. A., Mishra, J., Gerven, P. W. M. V., & Gazzaley, A. H. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00685 · Cited by 34
Self-citationMultimedia, Slow Journalism as Process, and The Possibility of Proper Time
Ball, B. A. W. (2016) · Digital Journalism · doi:10.1080/21670811.2015.1114895 · Cited by 31
Cunff, A. L., Dommett, E. J., & Giampietro, V. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16201 · Cited by 40
Differential Impact of Interference on Internally- and Externally-Directed Attention
Ziegler, D. A., Janowich, J. R., & Gazzaley, A. H. (2018) · Scientific Reports · doi:10.1038/s41598-018-20498-8 · Cited by 33
Self-citationRuiz‐Contreras, A. E., Carrillo‐Sánchez, K., Ortega-Mora, I., Barrera-Tlapa, M. A., Román-López, T. V., Rosas-Escobar, C. B., Flores‐Barrera, L., Caballero-Sánchez, U., Muñoz‐Torres, Z., Romero‐Hidalgo, S., et al. (2013) · Genes Brain & Behavior · doi:10.1111/gbb.12097 · Cited by 32
Wais, P. E., Kim, O. Y., & Gazzaley, A. H. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr160 · Cited by 30
Self-citationFunctional specialization and generalization for grouping of stimuli based on colour and motion
Zeki, S., & Stutters, J. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.02.001 · Cited by 30
Daffner, K. R., Zhuravleva, T. Y., Sun, X., Tarbi, E. C., Haring, A. E., Rentz, D. M., & Holcomb, P. J. (2011) · Biological Psychology · doi:10.1016/j.biopsycho.2011.12.002 · Cited by 32
Wais, P. E., & Gazzaley, A. H. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00280 · Cited by 35
Self-citationVogt, T., Herpers, R., Scherfgen, D., Strüder, H. K., & Schneider, S. (2015) · Experimental Brain Research · doi:10.1007/s00221-015-4208-x · Cited by 29
The role of biased competition in visual short-term memory
Shapiro, K. L., & Miller, C. E. (2011) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2011.02.017 · Cited by 31
Auditory Attention Detection via Cross-Modal Attention
Su, E., Cai, S., Li, P., Xie, L., & Li, H. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.652058 · Cited by 28
Knowles, M. M., & Adrian Wells, A. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.01768 · Cited by 28
Liu, S., Poh, J.-H., Koh, H. L., Ng, K. K., Loke, Y. M., Lim, J. K. W., Chong, J. S. X., & Zhou, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.014 · Cited by 28
Selectively Enhanced Development of Working Memory in Musically Trained Children and Adolescents
Saarikivi, K. A., Huotilainen, M., Tervaniemi, M., & Putkinen, V. (2019) · Frontiers in Integrative Neuroscience · doi:10.3389/fnint.2019.00062 · Cited by 28
Emberson, L. L. (2016) · Behavioral and Brain Sciences · doi:10.1017/s0140525x15002496 · Cited by 26
Noise Correlations for Faster and More Robust Learning
Nassar, M. R., Scott, D., & Bhandari, A. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.3045-20.2021 · Cited by 27
ERP markers of target selection discriminate children with high vs. low working memory capacity
Shimi, A. G., Nobre, A. C., & Scerif, G. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00153 · Cited by 25
Spronk, M., Vogel, E. K., & Jonkman, L. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0042262 · Cited by 24
Are Age Effects in Positivity Influenced by the Valence of Distractors?
Ziaei, M., von Hippel, W., Henry, J. D., & Becker, S. I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0137604 · Cited by 25
Lomoriello, A. S., Maffei, A., Brigadoi, S., & Sessa, P. (2021) · Brain and Cognition · doi:10.1016/j.bandc.2020.105678 · Cited by 24
Attention Protects the Fidelity of Visual Memory: Behavioral and Electrophysiological Evidence
Jie, H. J., & Sekuler, R. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2560-10.2010 · Cited by 25
Age differences in brain activity during perceptual versus reflective attention
Mitchell, K., Johnson, M. R., Higgins, J. A., & Johnson, M. K. (2010) · Neuroreport · doi:10.1097/wnr.0b013e32833730d6 · Cited by 25
Fatigue-Related Effects in the Process of Task Interruption on Working Memory
Chen, Y., Fang, W., Guo, B., & Bao, H. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.703422 · Cited by 27
Li, Y., Li, F. Y., He, N., Guo, L., Huang, X., Lui, S., & Gong, Q. (2014) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2014.03.013 · Cited by 25
Lenaert, B., van de Ven, V. G., Kaas, A. L., & Vlaeyen, J. W. S. (2015) · Behavior Therapy · doi:10.1016/j.beth.2015.10.001 · Cited by 23
The impact of task relevance and degree of distraction on stimulus processing
Biehl, S. C., Ehlis, A., Müller, L. D., Niklaus, A., Pauli, P., & Herrmann, M. J. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-107 · Cited by 23
Neural measures of anticipatory bodily attention in children: Relations with executive function
Weiss, S. M., Meltzoff, A. N., & Marshall, P. J. (2018) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2018.08.002 · Cited by 26
The Role of Spatial Attention in Tactile Short-Term Memory
Katus, T., & Andersen, S. K. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801371-7.00021-1 · Cited by 3
Closing the Gates to Consciousness: Distractors Activate a Central Inhibition Process
Niedeggen, M., Michael, L., & Hesselmann, G. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00177 · Cited by 21
Neural effects of cognitive control load on auditory selective attention
Sabri, M., Humphries, C., Verber, M., Liebenthal, E., Binder, J. R., Mangalathu-Arumana, J., & Desai, A. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.06.009 · Cited by 25
Reches, A., Laufer, I., Ziv, K., Cukierman, G., McEvoy, K., Ettinger, M., Knight, R. T., Gazzaley, A. H., & Geva, A. B. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.11.020 · Cited by 22
Self-citationWang, H., Guo, S., & Fu, S. (2016) · Psychophysiology · doi:10.1111/psyp.12669 · Cited by 22
Song, J., Chang, L., & Zhou, R. (2021) · Journal of Affective Disorders · doi:10.1016/j.jad.2021.05.091 · Cited by 22
Troche, S. J., Thomas, P., Tadin, D., & Rammsayer, T. H. (2017) · Intelligence · doi:10.1016/j.intell.2017.12.002 · Cited by 20
Catherwood, D., Edgar, G. K., Sallis, G., Medley, A. R., & Brookes, D. A. (2012) · International Journal of Emergency Services · doi:10.1108/20470891211275920 · Cited by 20
Shared filtering processes link attentional and visual short-term memory capacity limits
Bettencourt, K. C., Michalka, S., & Somers, D. C. (2011) · Journal of Vision · doi:10.1167/11.10.22 · Cited by 19
Cortical Representations of Cognitive Control and Working Memory Are Dependent Yet Non-Interacting
Harding, I. H., Harrison, B. J., Breakspear, M. J., Pantelis, C., & Yücel, M. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu208 · Cited by 20
The Effect of Task Interruption on Working Memory Performance
Chen, Y.-Y., Fang, W., Bao, H., & Guo, B. (2022) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221139017 · Cited by 23
Neural Effects of Auditory Distraction on Visual Attention in Schizophrenia
Smucny, J., Rojas, D. C., Eichman, L. C., & Tregellas, J. R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0060606 · Cited by 18
Don't stop me now: Hampered retrieval of action plans following interruptions
Zickerick, B., Kobald, S. O., Thönes, S., Küper, K., Wascher, E., & Schneider, D. A. (2020) · Psychophysiology · doi:10.1111/psyp.13725 · Cited by 19
King, J. L., & Markant, J. C. (2020) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2019.104797 · Cited by 18
Law, L. L. F., Barnett, F., Yau, M. K.-S., & Gray, M. A. (2013) · Occupational Therapy International · doi:10.1002/oti.1355 · Cited by 19
Wang, H., & Fu, S. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.01.029 · Cited by 18
Lewinski, W. J., Dysterheft, J. L., Priem, M. M., & Pettitt, R. W. (2014) · Police Practice and Research · doi:10.1080/15614263.2014.959950 · Cited by 22
Zanto, T. P., & Rissman, J. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00242-6 · Cited by 18
Self-citationTrapp, S., & Lepsien, J. (2012) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2012.08.003 · Cited by 20
Rapid Functional Reorganization in Human Cortex Following Neural Perturbation
Zanto, T. P., Chadick, J. Z., Satris, G. G., & Gazzaley, A. H. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.0308-13.2013 · Cited by 19
Self-citationAnticipatory alpha phase influences visual working memory performance
Zanto, T. P., Chadick, J. Z., & Gazzaley, A. H. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.048 · Cited by 17
Self-citationA wireless forehead e-tattoo for mental workload estimation
Huh, H., Shin, H., Li, H., Hirota, K., Hoang, C., Thangavel, S., D'Alessandro, M. R., Feltman, K. A., Sentis, L., & Lu, N. (2025) · Device · doi:10.1016/j.device.2025.100781 · Cited by 19
Pei, L., Northoff, G., & Ouyang, G. (2023) · Communications Biology · doi:10.1038/s42003-023-05168-4 · Cited by 17
Temporal attention is not affected by working memory load
Zanto, T. P., Liu, H., Pan, P., & Gazzaley, A. H. (2020) · Cortex · doi:10.1016/j.cortex.2020.06.008 · Cited by 16
Self-citationBolton, D. A. E., & Staines, R. W. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.03.003 · Cited by 15
Kundu, B., Chang, J.-Y., Postle, B. R., & Veen, B. D. V. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.04.001 · Cited by 15
Can't take my eyes off you – How task irrelevant pictures of food influence attentional selection
Sänger, J. (2018) · Appetite · doi:10.1016/j.appet.2018.11.030 · Cited by 18
Working memory capacity estimates moderate value learning for outcome-irrelevant features
Ben-Artzi, I., Luria, R., & Shahar, N. (2022) · Scientific Reports · doi:10.1038/s41598-022-21832-x · Cited by 11
Matsushima, A., & Tanaka, M. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00265 · Cited by 14
Explicit Instruction and Executive Functioning Capacity: A New Direction in Cognitive Load Theory
Siregar, N. R. (2021) · Journal of Education · doi:10.1177/00220574211033256 · Cited by 13
Nussenbaum, K., Amso, D., & Markant, J. C. (2017) · Attention Perception & Psychophysics · doi:10.3758/s13414-017-1399-1 · Cited by 13
Derrfuß, J., Ekman, M., Hanke, M., Tittgemeyer, M., & Fiebach, C. J. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01141 · Cited by 14
Experimental Study: Children’s Perceptions Expressed Through Drawings and Coloring
Trifunović, A., Pešić, D., & Čičević, S. (2022) · Perceptual and Motor Skills · doi:10.1177/00315125221104780 · Cited by 17
External distraction impairs categorization performance in older adults.
Wais, P. E., & Gazzaley, A. H. (2014) · Psychology and Aging · doi:10.1037/a0037617 · Cited by 13
Self-citationDifferent Roles of COMT and HTR2A Genotypes in Working Memory Subprocesses
Kondo, H. M., Nomura, M., & Kashino, M. (2015) · PLoS ONE · doi:10.1371/journal.pone.0126511 · Cited by 13
Cognitive training, but not EEG-neurofeedback, improves working memory in healthy volunteers
Barbazzeni, B., Speck, O., & Düzel, E. (2023) · Brain Communications · doi:10.1093/braincomms/fcad101 · Cited by 11
Age Differences in Encoding-Related Alpha Power Reflect Sentence Comprehension Difficulties
Beese, C., Vassileiou, B., Friederici, A. D., & Meyer, L. (2019) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2019.00183 · Cited by 13
Altered brain network function during attention-modulated visual processing in multiple sclerosis
Veréb, D., Tóth, E. M., Bozsik, B., Király, A., Szabó, N., Kincses, B., Kocsis, K., Faragó, P., Vécsei, L., Bencsik, K., et al. (2020) · Multiple Sclerosis Journal · doi:10.1177/1352458520958360 · Cited by 11
Age-related impairments on the touchscreen paired associates learning (PAL) task in male rats
Smith, S. M., Zequeira, S., Ravi, M., Johnson, S. A., Hampton, A. M., Ross, A., Pyon, W. S., Maurer, A. P., Bizon, J. L., & Burke, S. N. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.09.021 · Cited by 12
Set-relevance Determines the Impact of Distractors on Episodic Memory Retrieval
Kwok, S. C., Shallice, T., & Macaluso, E. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00601 · Cited by 11
Mirjalili, M., Zomorrodi, R., Daskalakis, Z. J., Hill, S., Kumar, S., Blumberger, D. M., Fischer, C. E., Flint, A. J., Herrmann, N., Lanctôt, K. L., et al. (2022) · GeroScience · doi:10.1007/s11357-022-00577-5 · Cited by 10
Bruno, A., Lothmann, K., Bludau, S., Mohlberg, H., & Amunts, K. (2024) · Frontiers in Neuroimaging · doi:10.3389/fnimg.2024.1339244 · Cited by 12
Attention to food stimuli in binge eating disorder: Electrophysiological evidence
Werle, D., Sablottny, L., Ulrich Ansorge, A., Biehl, S. C., Tuschen‐Caffier, B., & Svaldi, J. (2024) · Appetite · doi:10.1016/j.appet.2024.107682 · Cited by 10
Jeong, H.-G., Ko, Y.-H., Han, C.-S., Oh, S.-Y., Park, K.-W., Kim, T., & Ko, D. (2015) · European Journal of Public Health · doi:10.1093/eurpub/ckv022 · Cited by 9
Quatieri, T. F., Williamson, J. R., Smalt, C. J., Perricone, J., Helfer, B. S., Nolan, M. A., Eddy, M. D., & Moran, J. M. (2016) · Cited by 10
Kang, H., An, S. C., Kim, N. O., Sung, M., Kang, Y.-J., Lee, U. S., & Yang, H. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00931 · Cited by 13
Working Memory Workload When Making Complex Decisions: A Behavioral and EEG Study
Balconi, M., Rovelli, K., Angioletti, L., & Allegretta, R. A. (2024) · Sensors · doi:10.3390/s24175754 · Cited by 14
Lenartowicz, A., Simpson, G. V., Haber, C., & Cohen, M. S. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00613 · Cited by 10
Less is more! Support of Parallel and Time-critical Assembly Tasks with Augmented Reality
Illing, J., Klinke, P., Pfingsthorn, M. F., & Heuten, W. (2021) · Mensch und Computer (MuC) · doi:10.1145/3473856.3473861 · Cited by 9
Diminishing Reality: Potential Benefits and Risks
Murph, I., McDonald, M., Richardson, K., Wilkinson, M., Robertson, S., Karunakaran, A., Coleman, M. G., Byrne, V. E., & McLaughlin, A. C. (2021) · Proceedings of the Human Factors and Ergonomics Society Annual Meeting · doi:10.1177/1071181321651103 · Cited by 9
Umla‐Runge, K., Zimmer, H. D., Krick, C. M., & Reith, W. (2011) · Brain Research · doi:10.1016/j.brainres.2011.01.052 · Cited by 9
The influence of executive capacity on selective attention and subsequent processing
Daffner, K. R., Tarbi, E. C., Haring, A. E., Zhuravleva, T. Y., Sun, X., Rentz, D. M., & Holcomb, P. J. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2012.00167 · Cited by 9
Mineo, L., Fetterman, A., Concerto, C., Warren, M., Infortuna, C., Freedberg, D., Chusid, E., Aguglia, E., & Battaglia, F. (2018) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2018.04.004 · Cited by 9
Zhong, C., Qu, Z., Yang, N., Sun, M., Wang, Y., & Ding, Y. (2024) · Psychological Science · doi:10.1177/09567976241279520 · Cited by 7
The role of the right prefrontal cortex in the retrieval of weak representations
Yi, K., Heo, J., Hong, J., & Kim, C. (2022) · Scientific Reports · doi:10.1038/s41598-022-08493-6 · Cited by 8
Ozimič, A. S., Oblak, A., Kordeš, U., Purg, N., Bon, J., & Repovš, G. (2023) · Cognitive Science · doi:10.1111/cogs.13333 · Cited by 8
Working memory for self-initiated and provided spatial configurations
Magen, H., & Emmanouil, T. A. (2018) · Quarterly Journal of Experimental Psychology · doi:10.1177/1747021817739808 · Cited by 8
Memory for Problem Solving: Comparative Studies in Attention, Working and Long-term Memory
Bobrowicz, K. (2019) · Lund University Publications (Lund University) · doi:10.13140/rg.2.2.21981.77281 · Cited by 8
Liu, C., Huang, S.-H., Wang, W., Chen, C., Su, K.-H., & Wu, C. (2024) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2024.3482328 · Cited by 9
Broadscale dampening of uncertainty adjustment in the aging brain
Kosciessa, J. Q., Mayr, U., Lindenberger, U., & Garrett, D. D. (2024) · Nature Communications · doi:10.1038/s41467-024-55416-2 · Cited by 7
Baghdadi, G., Towhidkhah, F., & Rostami, R. (2019) · Cognitive Systems Research · doi:10.1016/j.cogsys.2019.07.007 · Cited by 7
Mayer, J. S., Korinth, S. P., Peters, B., & Fiebach, C. J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.00522 · Cited by 7
EEG-based brain connectivity analysis of working memory and attention
Bashiri, M., Mumtaz, W., Malik, A. S., & Waqar, K. (2015) · IEEE Student Symposium in Biomedical Engineering & Sciences (ISSBES) · doi:10.1109/issbes.2015.7435890 · Cited by 7
Effects of Age and Acute Moderate Alcohol Consumption on Electrophysiological Indices of Attention
Garcia, C. C., Lewis, B., Boissoneault, J., & Nixon, S. J. (2020) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2020.81.372 · Cited by 7
Looking for experimental evidence of critical thinking through EEG
González-Hernández, H. G., Medina-Pozos, J. M., González, V. C., Amozurrutia-Elizalde, A., Flores-Amado, A., & Mora-Salinas, R. J. (2021) · International Journal on Interactive Design and Manufacturing (IJIDeM) · doi:10.1007/s12008-021-00761-5 · Cited by 6
Divergent roles of early visual cortex and inferior frontal junction in visual working memory
Zhao, Y., Zhang, X., & Ku, Y. (2024) · Brain stimulation · doi:10.1016/j.brs.2024.06.001 · Cited by 6
Weiss, S. M., Laconi, R. N., & Marshall, P. J. (2020) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-020-00809-1 · Cited by 7
Unpredictable fearful stimuli disrupt timing activities: Evidence from event-related potentials
Cui, Q., Liu, M., Liu, C. H., Long, Z., Zhao, K., & Fu, X. (2021) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2021.108057 · Cited by 6
Жаворонкова, Л. А., Белостоцкий, А. П., Koulikov, M. A., Oknina, L. B., Kholodova, N. B., & Kuptsova, S. V. (2010) · Human Physiology · doi:10.1134/s0362119710020040 · Cited by 6
Ahulló-Fuster, M.-A., Sánchez-Sánchez, M. L., Varela-Donoso, E., & Ortiz, T. (2024) · PLoS ONE · doi:10.1371/journal.pone.0306478 · Cited by 5
Bencze, D., Marián, M., Szöllősi, Á., Simor, P., & Racsmány, M. (2024) · Cortex · doi:10.1016/j.cortex.2024.11.012 · Cited by 5
Anton, N. E., Zhou, G., Hornbeck, T., & Yu, D. (2022) · IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) · doi:10.1109/vrw55335.2022.00115 · Cited by 5
Metadata
- Authors
- Zanto, T. P., & Gazzaley, A.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Gazzaley, Adam
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2009-03-11
- Volume
- 29
- Issue
- 10
- Pages
- 3059-3066
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC2704557
- OpenAlex
- W2080254032
- Cited by
- 302
- References
- 43
- Citations by year
- 2026: 11 · 2025: 17 · 2024: 16 · 2023: 12 · 2022: 16 · 2021: 28 · 2020: 16 · 2019: 8 · 2018: 12 · 2017: 16 · 2016: 12 · 2015: 20 · 2014: 25 · 2013: 26 · 2012: 23
- FWCI
- 10.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ellison Medical Foundation
- National Institutes of Health
- National Institute on Aging (R01-AG30395, K08AG025221, R01AG030395)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- working memory, top-down modulation, distractor suppression, attention, visual cortex, memory load, recognition memory, feature-based memory, movement direction, color memory, interference, memory capacity
- MeSH terms
- Adult, Color Perception, Evoked Potentials, Visual, Female, Humans, Male, Memory, Motion Perception, Neural Inhibition, Photic Stimulation, Psychomotor Performance, Reaction Time, Visual Perception, Young Adult
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