The DOI matches its Crossref record; 78 of the 80 references it cites were found in a registry or an index.
From an Executive Network to Executive Control: A Computational Model of the n-back Task
Open accessAbstract
A paradigmatic test of executive control, the n-back task, is known to recruit a widely distributed parietal, frontal, and striatal "executive network," and is thought to require an equally wide array of executive functions. The mapping of functions onto substrates in such a complex task presents a significant challenge to any theoretical framework for executive control. To address this challenge, we developed a biologically constrained model of the n-back task that emergently develops the ability to appropriately gate, bind, and maintain information in working memory in the course of learning to perform the task. Furthermore, the model is sensitive to proactive interference in ways that match findings from neuroimaging and shows a U-shaped performance curve after manipulation of prefrontal dopaminergic mechanisms similar to that observed in studies of genetic polymorphisms and pharmacological manipulations. Our model represents a formal computational link between anatomical, functional neuroimaging, genetic, behavioral, and theoretical levels of analysis in the study of executive control. In addition, the model specifies one way in which the pFC, BG, parietal, and sensory cortices may learn to cooperate and give rise to executive control.
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?
In the citing paper
“Chatham et al. (2011) developed a neurally inspired model of n-back. In line with the idea that n-back requires the development of a novel routine, it has to be trained explicitly to perform the task with a specific value of n.”
From Working memory training involves learning new skills (2019) · cites this paper as Chatham et al., 2011
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
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0734 · Cited by 15,798
Self-citationControl 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
Neural Mechanisms of Selective Visual Attention
Desimone, R., & Duncan, J. (1995) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.18.030195.001205 · Cited by 8,388
The reorienting system of the human brain: from environment to theory of mind
Corbetta, M., Patel, G., & Shulman, G. L. (2008) · Neuron · doi:10.1016/j.neuron.2008.04.017 · Cited by 3,889
Egan, M. F., Kojima, M., Callicott, J. H., Goldberg, T. E., Kolachana, B. S., Bertolino, A., Zaitsev, E., Gold, B., Goldman, D., Dean, M., et al. (2003) · Cell · doi:10.1016/s0092-8674(03)00035-7 · Cited by 3,888
N-back working memory paradigm: a meta-analysis of normative functional neuroimaging studies.
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005) · Human Brain Mapping · doi:10.1002/hbm.20131 · Cited by 3,560
THE BASAL GANGLIA: FOCUSED SELECTION AND INHIBITION OF COMPETING MOTOR PROGRAMS
Mink, J. W. (1996) · Progress in Neurobiology · doi:10.1016/s0301-0082(96)00042-1 · Cited by 2,478
Effect of COMT Val 108/158 Met genotype on frontal lobe function and risk for schizophrenia
Egan, M. F., Goldberg, T. E., Kolachana, B. S., Callicott, J. H., Mazzanti, C. M., Straub, R. E., Goldman, D. A., & Weinberger, D. R. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.111134598 · Cited by 2,416
The relations among inhibition and interference control functions: A latent-variable analysis.
Friedman, N. P., & Miyake, A. (2004) · Journal of Experimental Psychology: General · doi:10.1037/0096-3445.133.1.101 · Cited by 2,309 · cited 1×
“…enabled by executive functions that help stop prepotent responses, resolve interference, update working memory, shift mental sets, and coordinate multiple tasks (e.g., Friedman & Miyake, 2004; Logie, Cocchini, Delia Sala, & Baddeley, 2004; Salthouse, Atkinson, & Berish, 2003; Miyake et al., 2000).”
BackgroundSelf-citationNeuroimaging studies of working memory:
Wager, T. D., & Smith, E. E. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.4.255 · Cited by 1,889
Cited by
Sorted by citations
Miyake, A., & Friedman, N. P. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721411429458 · Cited by 3,944
Self-citationSnyder, H. R. (2013) · Psychological Bulletin · doi:10.1037/a0028727 · Cited by 1,667
Modeling working memory: An interference model of complex span
Oberauer, K., Lewandowsky, S., Farrell, S., Jarrold, C., & Greaves, M. (2012) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0272-4 · Cited by 402
What limits working memory capacity?
Oberauer, K., Farrell, S., Jarrold, C., & Lewandowsky, S. (2016) · Psychological Bulletin · doi:10.1037/bul0000046 · Cited by 416
Snyder, H. R., Kaiser, R. H., Warren, S. L., & Heller, W. (2015) · Clinical Psychological Science · doi:10.1177/2167702614534210 · Cited by 325
Multiple gates on working memory
Chatham, C. H., & Badre, D. (2015) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2014.08.001 · Cited by 268
Self-citationWorking memory training involves learning new skills
Gathercole, S. E., Dunning, D. L., Holmes, J., & Norris, D. (2019) · Journal of Memory and Language · doi:10.1016/j.jml.2018.10.003 · Cited by 225
Corticostriatal Output Gating during Selection from Working Memory
Chatham, C. H., Frank, M. J., & Badre, D. (2014) · Neuron · doi:10.1016/j.neuron.2014.01.002 · Cited by 207
Self-citationBrodmann area 10: Collating, integrating and high level processing of nociception and pain
Peng, K., Steele, S. C., Becerra, L. R., & Borsook, D. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2017.11.004 · Cited by 164
A neural network model of individual differences in task switching abilities
Herd, S. A., O׳Reilly, R. C., Hazy, T. E., Chatham, C. H., Brant, A. M., & Friedman, N. P. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.04.014 · Cited by 128
Self-citationCognitive Resources Moderate the Relationship Between Pro-Environmental Attitudes and Green Behavior
Langenbach, B. P., Berger, S., Baumgärtner, T., & Knoch, D. (2019) · Environment and Behavior · doi:10.1177/0013916519843127 · Cited by 134
Exploring brain-behavior relationships in the N-back task
Lamichhane, B., Westbrook, A., Cole, M. W., & Braver, T. S. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116683 · Cited by 117
Hsu, N. S., Jaeggi, S. M., & Novick, J. M. (2017) · Brain and Language · doi:10.1016/j.bandl.2016.12.006 · Cited by 100
Decomposing the n-back task: An individual differences study using the reference-back paradigm
Rac-Lubashevsky, R., & Kessler, Y. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.07.013 · Cited by 96
Reineberg, A. E., & Banich, M. T. (2016) · Human Brain Mapping · doi:10.1002/hbm.23219 · Cited by 88
Munakata, Y., & Michaelson, L. (2021) · Annual Review of Developmental Psychology · doi:10.1146/annurev-devpsych-121318-085005 · Cited by 110
Dissociating working memory updating and automatic updating: The reference-back paradigm.
Rac-Lubashevsky, R., & Kessler, Y. (2015) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000219 · Cited by 96
Testing a Cognitive Control Model of Human Intelligence
Chen, Y., Spagna, A., Wu, T., Kim, T. H., Wu, Q., Chen, C., Wu, Y., & Fan, J. (2019) · Scientific Reports · doi:10.1038/s41598-019-39685-2 · Cited by 80
Atypical working memory decline across the adult lifespan in autism spectrum disorder?
Lever, A. G., Werkle‐Bergner, M., Brandmaier, A. M., Ridderinkhof, K. R., & Geurts, H. M. (2015) · Journal of Abnormal Psychology · doi:10.1037/abn0000108 · Cited by 80
Age-Related Differences in Working Memory Performance in A 2-Back Task
Wild–Wall, N., Falkenstein, M., & Gajewski, P. D. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00186 · Cited by 69
de Frias, C. M., Marklund, P., Eriksson, E., Larsson, A., Öman, L., Annerbrink, K., Bäckman, L., Nilsson, L., & Nyberg, L. H. (2009) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21318 · Cited by 66
The contribution of working memory to fluid reasoning: Capacity, control, or both?
Chuderski, A., & Necka, E. (2012) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0028465 · Cited by 60
Control when it counts: Change in executive control under stress predicts depression symptoms.
Quinn, M. E., & Joormann, J. (2015) · Emotion · doi:10.1037/emo0000089 · Cited by 64
The disruptive effects of pain on n-back task performance in a large general population sample
Attridge, N., Noonan, D., Eccleston, C., & Keogh, E. (2015) · Pain · doi:10.1097/j.pain.0000000000000245 · Cited by 58
Heinzel, S., Kaufmann, C., Grützmann, R., Hummel, R., Klawohn, J., Riesel, A., Bey, K., Lennertz, L., Wagner, M., & Kathmann, N. (2018) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.10.039 · Cited by 55
Zhang, T., Mou, D., Wang, C., Tan, F., Jiang, Y., Lijun, Z., & Li, H. (2015) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2015.04.010 · Cited by 57
Memory and language improvements following cognitive control training.
Hussey, E. K., Harbison, J. I., Teubner-Rhodes, S. E., Mishler, A., Velnoskey, K. R., & Novick, J. M. (2016) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000283 · Cited by 60
Rac-Lubashevsky, R., & Frank, M. J. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1008971 · Cited by 46
Stress-Induced Changes in Executive Control Are Associated With Depression Symptoms
Quinn, M. E., & Joormann, J. (2015) · Clinical Psychological Science · doi:10.1177/2167702614563930 · Cited by 49
Kóbor, A., Takács, Á., Janacsek, K., Németh, D., Honbolygó, F., & Csépe, V. (2014) · Psychophysiology · doi:10.1111/psyp.12331 · Cited by 41
Kang, C., Ma, F., Li, S., Kroll, J. F., & Guo, T. (2020) · Bilingualism Language and Cognition · doi:10.1017/s1366728920000085 · Cited by 38
Stroux, D., Shushakova, A., Geburek, A. J., Ohrmann, P., Rist, F., & Pedersen, A. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.05.021 · Cited by 39
Beyond individual differences: are working memory and inhibition informative specifiers within ASD?
de Vries, M., & Geurts, H. M. (2014) · Journal of Neural Transmission · doi:10.1007/s00702-014-1225-z · Cited by 40
Kessler, Y. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02260 · Cited by 32
Imperatori, C., Farina, B., Brunetti, R., Gnoni, V., Testani, E., Quintiliani, M. I., Gatto, C. D., Indraccolo, A., Contardi, A., Speranza, A. M., et al. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00109 · Cited by 32
The role of executive control in rhythmic timing at different tempi
Bååth, R. A., Tjøstheim, T. A., & Lingonblad, M. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1070-1 · Cited by 29
Physical activity intervention promotes working memory and motor competence in preschool children
Zhang, J., Shen, Q.-Q., Wang, D.-L., Hou, J.-M., Xia, T., Qiu, S., Wang, X., Zhou, S.-B., Yang, W.-W., Heng, S.-Y., et al. (2022) · Frontiers in Public Health · doi:10.3389/fpubh.2022.984887 · Cited by 39
A mechanism of deficient interregional neural communication in schizophrenia
Popov, T. G., Wienbruch, C., Meissner, S. N., Miller, G. A., & Rockstroh, B. S. (2014) · Psychophysiology · doi:10.1111/psyp.12393 · Cited by 27
Chen, Y., Lian, R., Yang, L., Liu, J., & Meng, Y. (2016) · Journal of Learning Disabilities · doi:10.1177/0022219416668322 · Cited by 26
Can we enhance working memory? Bias and effectiveness in cognitive training studies
Rodas, J. A., Asimakopoulou, A. A., & Greene, C. M. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02466-8 · Cited by 28
He Who Is Well Prepared Has Half Won The Battle: An fMRI Study of Task Preparation
Manelis, A., & Reder, L. M. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht262 · Cited by 25
Yatziv, T., Kessler, Y., & Atzaba‐Poria, N. (2018) · PLoS ONE · doi:10.1371/journal.pone.0207869 · Cited by 29
Gray, D. T., Smith, A. C., Burke, S. N., Gazzaley, A. H., & Barnes, C. A. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.06.056 · Cited by 23
Parallel temporal dynamics in hierarchical cognitive control
Ranti, C., Chatham, C. H., & Badre, D. (2015) · Cognition · doi:10.1016/j.cognition.2015.05.003 · Cited by 24
Self-citationMeier, M. E., & Kane, M. J. (2015) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000147 · Cited by 23
Li, G., Chen, Y. S., Le, T. M., Wang, W., Tang, X., & Li, C. R. (2021) · Scientific Reports · doi:10.1038/s41598-021-89433-8 · Cited by 23
Individual variation in working memory is associated with fear extinction performance
Stout, D. M., Acheson, D. T., Moore, T. M., Gur, R. C., Baker, D. G., Geyer, M. A., & Risbrough, V. B. (2018) · Behaviour Research and Therapy · doi:10.1016/j.brat.2018.01.002 · Cited by 22
Giorgio, A., Zhang, J., Stromillo, M. L., Rossi, F., Battaglini, M., Nichelli, L., Mortilla, M., Portaccio, E., Hakiki, B., Amato, M. P., et al. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00608 · Cited by 21
Strategic cognitive sequencing: a computational cognitive neuroscience approach
Herd, S. A., Krueger, K. A., Kriete, T. E., Huang, T.-R., Hazy, T. E., & O'Reilly, R. C. (2013) · Computational Intelligence and Neuroscience · doi:10.1155/2013/149329 · Cited by 20
Self-citationYatziv, T., Kessler, Y., & Atzaba‐Poria, N. (2020) · Developmental Psychology · doi:10.1037/dev0000931 · Cited by 23
Why won’t you do what I want? The informative failures of children and models
Chatham, C. H., Yerys, B. E., & Munakata, Y. (2012) · Cognitive Development · doi:10.1016/j.cogdev.2012.07.003 · Cited by 20
Self-citationDecomposing Individual Differences in Cognitive Control: A Model-Based Approach.
Musslick, S., Cohen, J. D., & Shenhav, A. (2019) · eScholarship (California Digital Library) · Cited by 20
Controlling working memory with learned instructions
Sylvester, J., Reggia, J. A., Weems, S. A., & BUNTING, M. F. (2013) · Neural Networks · doi:10.1016/j.neunet.2013.01.010 · Cited by 20
Klein, R. J., Liu, T., Diehl, D., & Robinson, M. D. (2017) · Journal of Research in Personality · doi:10.1016/j.jrp.2017.07.006 · Cited by 22
Dengler, J., Deck, B. L., Stoll, H., Fernandez-Nuñez, G., Kelkar, A. S., Rich, R. R., Erickson, B. A., Erani, F. R., Faseyitan, O. K., Hamilton, R. H., et al. (2024) · Cortex · doi:10.1016/j.cortex.2023.11.020 · Cited by 18
A comparison of two working memory tasks in aphasia
Ivanova, M. V., Kuptsova, S. V., & Dronkers, N. F. (2016) · Aphasiology · doi:10.1080/02687038.2016.1172699 · Cited by 17
Forward and backward recall: Different visuospatial processes when you know what’s coming
Guitard, D., Saint‐Aubin, J., Poirier, M., Miller, L. M., & Tolan, G. A. (2019) · Memory & Cognition · doi:10.3758/s13421-019-00966-w · Cited by 16
Trait Rumination Moderates the Effect of Executive Control Training
Quinn, M. E., Keil, D. C., Utke, S., & Joormann, J. (2014) · Journal of Experimental Psychopathology · doi:10.5127/jep.0038713 · Cited by 16
Mechanisms Underlying Cognitive Effects of Inducing a Mindful State
Vieth, E., & von Stockhausen, L. (2022) · Journal of Cognition · doi:10.5334/joc.205 · Cited by 19
Kuijper, S. J. M., Hartman, C. A., & Hendriks, P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.610401 · Cited by 15
Executive Functions and Information Systems Learning
Sullivan, Y. W., Davis, F. D., & Koh, C. E. (2022) · MIS Quarterly · doi:10.25300/misq/2022/15979 · Cited by 14
The basal ganglia corticostriatal loops and conditional learning
Yahya, K. (2020) · Reviews in the Neurosciences · doi:10.1515/revneuro-2020-0047 · Cited by 13
Mičič, S., Horvat, M., & Bakračevič, K. (2019) · Current Aging Science · doi:10.2174/1874609812666190819125542 · Cited by 12
Uncovering hidden patterns of design ideation using hidden Markov modeling and neuroimaging
Hu, M., McComb, C., & Goucher-Lambert, K. (2023) · Artificial intelligence for engineering design analysis and manufacturing · doi:10.1017/s0890060423000021 · Cited by 11
Hayashi, Y., Nakada, M., Kinoshita, M., & Hamada, J. (2013) · Neurologia medico-chirurgica · doi:10.2176/nmc.53.438 · Cited by 11
Byrne, E. M., Gilbert, R. A., Kievit, R., & Holmes, J. (2024) · Memory · doi:10.1080/09658211.2024.2393388 · Cited by 12
Neural circuits for learning context-dependent associations of stimuli
Zhu, H., Paschalidis, I. C., & Hasselmo, M. E. (2018) · Neural Networks · doi:10.1016/j.neunet.2018.07.018 · Cited by 9
Kenny, R., Mayo, C. D., Kennedy, S., Varga, A. A., Stuart-Hill, L. A., García-Barrera, M. A., McQuarrie, A. M., Christie, B. R., & Gawryluk, J. R. (2019) · Journal of Concussion · doi:10.1177/2059700219885503 · Cited by 9
Neurocognitive models of sense-making
Ascoli, G. A., Botvinick, M., Heuer, R. J., & Bhattacharyya, R. (2014) · Biologically Inspired Cognitive Architectures · doi:10.1016/j.bica.2014.03.004 · Cited by 9
Damme, K. S. F., Kelley, N. J., Quinn, M. E., Glazer, J. E., Chat, I. K.-Y., Young, K. S., Nusslock, R., Zinbarg, R. E., Bookheimer, S. Y., & Craske, M. G. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00712-4 · Cited by 13
Krumpe, T., Scharinger, C., Rosenstiel, W., Gerjets, P. H., & Spüler, M. (2018) · Biological Psychology · doi:10.1016/j.biopsycho.2018.09.008 · Cited by 8
Sulpizio, S., Spinelli, G., & Scaltritti, M. (2024) · Memory & Cognition · doi:10.3758/s13421-024-01552-5 · Cited by 8
Why is cognitive effort experienced as costly?
Otto, A. R., Westbrook, A., & Jean Daunizeau, A. (2025) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2025.10.012 · Cited by 10
A Spiking Neural Model of the n-Back Task.
Gosmann, J., & Eliasmith, C. (2015) · eScholarship (California Digital Library) · Cited by 8
Moss, A., Miles, C., Elsley, J. V., & Johnson, A. J. (2019) · Memory · doi:10.1080/09658211.2019.1653469 · Cited by 7
When working memory may be just working, not memory.
Beukers, A. O., Hamin, M., Norman, K. A., & Cohen, J. D. (2023) · Psychological Review · doi:10.1037/rev0000448 · Cited by 8
Liu, X., Li, F., & Song, W. (2022) · Applied Neuropsychology Adult · doi:10.1080/23279095.2022.2121211 · Cited by 5
A two-level hierarchical framework of visual short-term memory
Yatziv, T., & Kessler, Y. (2018) · Journal of Vision · doi:10.1167/18.9.2 · Cited by 5
Towards Practical Driver Cognitive Load Detection Based on Visual Attention Information
Liu, C. C. (2017) · TSpace (University of Toronto) · Cited by 5
Herrmann, W. M., & Wacker, J. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00887-9 · Cited by 7
Two Attentional Processes Subserving Working Memory Differentiate Gifted and Mainstream Students
Johnson, J., Howard, S. J., & Pascual‐Leone, J. (2024) · Journal of Cognition · doi:10.5334/joc.370 · Cited by 4
de Vries, M. (2015) · UvA-DARE (University of Amsterdam) · Cited by 4
Zając-Lamparska, L. (2021) · Roczniki Psychologiczne · doi:10.18290/rpsych21242-3s · Cited by 3
A computational approach to the N-back task
Ni, L., & Ma, W. J. (2024) · Scientific Reports · doi:10.1038/s41598-024-80537-5 · Cited by 4
Lex, M., Farah, R., Kraus, D., Radhakrishnan, R., & Horowitz‐Kraus, T. (2025) · Language Cognition and Neuroscience · doi:10.1080/23273798.2025.2474164 · Cited by 3
Visuospatial but Not Verbal Working Memory Deficits in Adult Patients With Neurofibromatosis Type 1
Tang, H., Wu, Q., Li, S., Fang, Y., Yang, Z., Wang, B., Wang, X., & Liu, P. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.751384 · Cited by 3
Spinelli, G., & Sulpizio, S. (2025) · Psychonomic Bulletin & Review · doi:10.3758/s13423-025-02672-y · Cited by 2
Buehler, D. (2025) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.70004 · Cited by 2
Lim, L. X., Akaishi, R., & Hélie, S. (2025) · Mathematics · doi:10.3390/math13152431 · Cited by 2
N-back task revisited: Comparing the neural correlates of updating and interference control
Hidalgo‐Lopez, E., Noachtar, I. A., & Pletzer, B. A. (2025) · Imaging Neuroscience · doi:10.1162/imag.a.1025 · Cited by 3
Mirhashemi, E., Bachman, P., Krishnan, G. P., Asarnow, R. F., & Forsyth, J. K. (2025) · Schizophrenia Research · doi:10.1016/j.schres.2025.06.001 · Cited by 3
Vieth, E., & von Stockhausen, L. (2023) · Acta Psychologica · doi:10.1016/j.actpsy.2023.104006 · Cited by 4
The latent structure of working memory: A large sample factor model of working memory capacity
Hao, H., Williams, J. C., Tubiolo, P. N., Silver-Frankel, E., Bauer, K., Luceno, S. R., Chan, A. J., Zheng, Z. J., Bobchin, K., Kotov, R., et al. (2025) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-025-01310-3 · Cited by 1
Neurophysiological signature of working memory updating during encoding
Sadus, K., Schubert, A., Löffler, C., Hemming, W. B., & Hagemann, D. (2025) · Cortex · doi:10.1016/j.cortex.2025.11.013 · Cited by 1
Dewis, H., Metcalf, C., Warner, M. B., Polfreman, R., & Godwin, H. J. (2026) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218261436006 · Cited by 1
Blanchette, C., Vrinceanu, T., Saillant, K., Lussier, M., & Bherer, L. (2026) · Journal of Cognitive Enhancement · doi:10.1007/s41465-026-00350-y · Cited by 2
A Multinomial Processing Tree Model of the 2-back Working Memory Task
Lee, M. D., Mistry, P. K., & Menon, V. (2022) · Computational Brain & Behavior · doi:10.1007/s42113-022-00138-1 · Cited by 1
Computational Modeling of Basic Cognitive Functionalities
(2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.014 · Cited by 1
Computational Neuroscience Models of Working Memory
Hazy, T. E., Frank, M. J., & O’Reilly, R. C. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.023 · Cited by 1
Self-citationNeurocomputational Models of Cognitive Control
Yee, D. M., & Braver, T. S. (2023) · Cambridge University Press eBooks · doi:10.1017/9781108755610.024 · Cited by 1
Metadata
- Authors
- Chatham, C. H., Herd, S. A., Brant, A. M., Hazy, T. E., Miyake, A., O'Reilly, R., & Friedman, N. P.
- Affiliations
- University of Colorado Boulder (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2011-11-01
- Volume
- 23
- Issue
- 11
- Pages
- 3598-3619
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC3269304
- OpenAlex
- W2120528765
- Cited by
- 115
- References
- 80
- Citations by year
- 2026: 4 · 2025: 10 · 2024: 7 · 2023: 6 · 2022: 6 · 2021: 7 · 2020: 5 · 2019: 11 · 2018: 6 · 2017: 8 · 2016: 8 · 2015: 13 · 2014: 11 · 2013: 6 · 2012: 5
- FWCI
- 3.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Explore Bristol Research (publishedVersion)
- PubMed Central (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Funders
- National Institute of Mental Health (P50MH079485, R01MH063207, MH063207, MH079485, R56MH063207)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- n-back task, executive function, executive network, computational model, working memory, proactive interference, prefrontal cortex, basal ganglia, dopaminergic mechanisms, parietal cortex, striatum, information maintenance, task learning
- MeSH terms
- Brain, Computer Simulation, Humans, Models, Neurological, Neural Pathways, Neuropsychological Tests, Executive Function
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