The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Dissociable Components of Rule-Guided Behavior Depend on Distinct Medial and Prefrontal Regions
Abstract
Card Sorting Monkeys: Single-neuron studies in primates help to establish a detailed understanding of cognitive processing and to provide an experimental base for understanding the cognitive deficits incurred by patients who have suffered damage to areas of the brain. Buckley et al. (p. 52 ) present the results of an intensive behavioral analysis of a group of monkeys bearing lesions to distinct areas of the prefrontal lobe. The Wisconsin Card Sorting Task is widely used in the clinic to assess the flexible learning of abstract rules. In the primates, a functional dissociation was observed across three regions: the principal sulcus, the orbitofrontal cortex, and the anterior cingulate cortex. This set of results contributes to the ongoing discussion of goal-directed behavior and serves to bridge neuropsychological studies in human patients and neurophysiological studies in primates.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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
“Related evidence from monkeys performing a Wisconsin Card Sorting Test (WCST) again points to a role for the anterior cingulate cortex in representing error likelihoods and adjusting behavioural patterns following an error (Buckley et al., 2009; Kuwabara et al., 2014).”
From The cingulum bundle: Anatomy, function, and dysfunction (2018) · cites this paper as Buckley et al., 2009
In the citing paper
“Whereas preoperatively their monkeys scored 77% correct on the EC+1 trial type, postoperatively the monkeys with PFo lesions scored only 50% correct.”
From Localization of Dysfunction in Major Depressive Disorder: Prefrontal Cortex and Amygdala (2011) · cites this paper as [95]
In the citing paper
“Buckley et al. (95) applied the same trial-by-trial analysis to data from monkeys with PFo lesions that had been trained on an analog of the Wisconsin Card Sorting Task.”
From Localization of Dysfunction in Major Depressive Disorder: Prefrontal Cortex and Amygdala (2011) · cites this paper as [95]
In the citing paper
“Like the monkeys studied by Rudebeck and Murray (91), the PFo lesion group studied by Buckley et al. was inefficient in using positive feedback after rule changes, suggesting that PFo plays an important role in the valuation of rule representations as well as object representations.”
From Localization of Dysfunction in Major Depressive Disorder: Prefrontal Cortex and Amygdala (2011) · cites this paper as [95]
Citations
Cites
Conflict monitoring and cognitive control
Botvinick, M. M., Braver, T. S., Barch, D. M., Carter, C. S., & Cohen, J. D. (2001) · Psychological Review · doi:10.1037/0033-295x.108.3.624 · Cited by 7,351
Daw, N. D., Niv, Y., & Dayan, P. (2005) · Nature Neuroscience · doi:10.1038/nn1560 · Cited by 2,533
Learning the value of information in an uncertain world
Behrens, T. E. J., Woolrich, M. W., Walton, M. E., & Rushworth, M. F. S. (2007) · Nature Neuroscience · doi:10.1038/nn1954 · Cited by 2,053
Neurons in the orbitofrontal cortex encode economic value
Padoa-Schioppa, C., & Assad, J. A. (2006) · Nature · doi:10.1038/nature04676 · Cited by 1,598
Dissociation in prefrontal cortex of affective and attentional shifts
Dias, R., Robbins, T. W., & Roberts, A. C. (1996) · Nature · doi:10.1038/380069a0 · Cited by 1,527
Inferotemporal cortex and object vision
Tanaka, K. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.000545 · Cited by 1,402
Self-citationRelative reward preference in primate orbitofrontal cortex
Tremblay, L., & Schultz, W. (1999) · Nature · doi:10.1038/19525 · Cited by 1,314
Single neurons in prefrontal cortex encode abstract rules
Wallis, J. D., Anderson, K. C., & Miller, E. K. (2001) · Nature · doi:10.1038/35082081 · Cited by 1,075
Action sets and decisions in the medial frontal cortex
RUSHWORTH, M., WALTON, M., KENNERLEY, S., & BANNERMAN, D. (2004) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.07.009 · Cited by 1,004
Cognitive control, hierarchy, and the rostro–caudal organization of the frontal lobes
Badre, D. (2008) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2008.02.004 · Cited by 980
Flagged first, then by citations
Research works printed but not linked: 1
- E. K. Miller T. J. Buschman in Neuroscience of Rule-Guided Behavior S. A. Bunge J. D. Wallis Eds. (Oxford Univ. Press New York 2008) pp. 419–440.
Cited by
Sorted by citations
Items 201–300 of 316
Demanuele, C., Kirsch, P., Esslinger, C., Zink, M., Meyer‐Lindenberg, A., & Durstewitz, D. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135424 · Cited by 14
Flexible modulation of risk attitude during decision-making under quota
Fujimoto, A., & Takahashi, H. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.06.040 · Cited by 12
Ainsworth, M., Browncross, H., Mitchell, D. J., Mitchell, A. S., Passingham, R. E., Buckley, M. J., Duncan, J., & Bell, A. H. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.08.024 · Cited by 12
Self-citationCognitive sex differences in effects of music in Wisconsin Card Sorting Test
Feizpour, A., Parkington, H. C., & Mansouri, F. A. (2018) · Psychology of Music · doi:10.1177/0305735618795030 · Cited by 13
Self-citationMatsuzaka, Y., Tanji, J., & Mushiake, H. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.4572-15.2016 · Cited by 12
Adaptive reinforcement learning is causally supported by anterior cingulate cortex and striatum
Treuting, R. L., Boroujeni, K. B., Gerrity, C. G., Neumann, A. R., Tiesinga, P. H. E., & Womelsdorf, T. (2025) · Neuron · doi:10.1016/j.neuron.2025.05.018 · Cited by 18
Semiautomated Assessment of the Anterior Cingulate Cortex in Alzheimer's Disease
Jung, F., Kazemifar, S., Bartha, R., & Rajakumar, N. (2019) · Journal of Neuroimaging · doi:10.1111/jon.12598 · Cited by 11
Cingulate-motor circuits update rule representations for sequential choice decisions
Takeuchi, D., Roy, D. S., Muralidhar, S., Kawai, T., Bari, A., Lovett, C., Sullivan, H. A., Wickersham, I. R., & Tonegawa, S. (2022) · Nature Communications · doi:10.1038/s41467-022-32142-1 · Cited by 15
Eiselt, A.-K., & Nieder, A. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00545 · Cited by 11
Camera, G. L., Bouret, S., & Richmond, B. J. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00165 · Cited by 9
Age effect in expert cognitive flexibility in Guinea baboons (Papio papio)
Gullstrand, J., Claidière, N., & Fagot, J. (2022) · Behavioural Brain Research · doi:10.1016/j.bbr.2022.114043 · Cited by 10
He, J., Zhu, J., Xie, Y., Du, H., Li, S., Li, S., He, W., Li, X., Zhou, Z., & Zhu, X. (2020) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000797 · Cited by 11
Manohar, S., Lockwood, P. L., Drew, D., Fallon, S. J., Chong, T. T. ‐., Jeyaretna, D. S., Baker, I., & Husain, M. (2021) · Cortex · doi:10.1016/j.cortex.2021.01.015 · Cited by 12
Application of radiosurgical techniques to produce a primate model of brain lesions
Kunimatsu, J., Miyamoto, N., Ishikawa, M., Shirato, H., & Tanaka, M. (2015) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2015.00067 · Cited by 12
Huey, E. D., Lee, S., Lieberman, J. A., Devanand, D. P., Brickman, A. M., Raymont, V., Krüeger, F., & Grafman, J. H. (2015) · Journal of Neuropsychiatry · doi:10.1176/appi.neuropsych.15060150 · Cited by 11
Abbass, M., Corrigan, B. W., Johnston, R., Gulli, R. A., Sachs, A. J., Lau, J. C., & Martínez-Trujillo, J. (2025) · Cell Reports · doi:10.1016/j.celrep.2024.115124 · Cited by 10
Feizpour, A., Buckley, M. J., Mundiñano, I.-C., Rosa, M. G. P., & Mansouri, F. A. (2024) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2024.102671 · Cited by 7
Self-citationNeural Correlates of Strategy Switching in the Macaque Orbital Prefrontal Cortex
Fascianelli, V., Ferrucci, L., Tsujimoto, S., & Genovesio, A. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1969-19.2020 · Cited by 8
Is Top-Down Control from Prefrontal Cortex Necessary for Visual Categorization?
Buckley, M. J., & Sigala, N. (2010) · Neuron · doi:10.1016/j.neuron.2010.05.012 · Cited by 8
Self-citationDimension of visual information interacts with working memory in monkeys and humans
Fehring, D. J., Pascoe, A. J., Haque, Z. Z., Samandra, R., Yokoo, S., Abe, H., Rosa, M. G. P., Tanaka, K., Yamamori, T., & Mansouri, F. A. (2022) · Scientific Reports · doi:10.1038/s41598-022-09367-7 · Cited by 8
Self-citationKalhan, S., Garrido, M. I., Hester, R., & Redish, A. D. (2023) · Neural Networks · doi:10.1016/j.neunet.2023.09.032 · Cited by 9
Ishida, H., Inoue, K., & Takada, M. (2018) · Frontiers in Neuroanatomy · doi:10.3389/fnana.2018.00003 · Cited by 7
A Neuroeconomic Framework for Creative CognitionPreprint
Lin, H., & Vartanian, O. A. (2017) · PsyArXiv (OSF Preprints) · doi:10.31234/osf.io/5pqy6 · Cited by 7
Huang, K., & Foldi, C. J. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11092594 · Cited by 6
A stable, distributed code for cue value in mouse cortex during reward learningPreprint
Ottenheimer, D. J., Hjort, M. M., Bowen, A. J., Steinmetz, N. A., & Stuber, G. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.13.499930 · Cited by 7
Chun, J., Kim, Y., Choi, J. W., Kim, D., & Jo, S. (2019) · Scientific Reports · doi:10.1038/s41598-019-42852-0 · Cited by 5
Awan, M. A. H., Mushiake, H., & Matsuzaka, Y. (2020) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2020.536246 · Cited by 5
Dorsal Area 46 Is a Major Target of Disynaptic Projections From the Medial Temporal Lobe
Hirata, Y., Miyachi, S., Inoue, K., Ninomiya, T., Takahara, D., Hoshi, E., & Takada, M. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs286 · Cited by 5
A Neuroeconomic Framework for Creative CognitionPreprint
Lin, H., & Vartanian, O. A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/184754 · Cited by 5
Comparing rapid rule-learning strategies in humans and monkeysPreprint
Goudar, V., Kim, J.-W., Liu, Y., Dede, A. J. O., Jutras, M. J., Skelin, I., Ruvalcaba, M., Chang, W. K., Fairhall, A. L., Lin, J. J., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.01.10.523416 · Cited by 5
Responses of monkey prefrontal neurons during the execution of transverse patterning
Nejime, M., Inoue, M., Saruwatari, M., Mikami, A., Nakamura, K., & Miyachi, S. (2014) · Behavioural Brain Research · doi:10.1016/j.bbr.2014.10.015 · Cited by 4
A Flexible Mechanism of Rule Selection Enables Rapid Feature-Based Reinforcement Learning
Balcarras, M., & Womelsdorf, T. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00125 · Cited by 4
Li, N., Wang, Y., Jing, F., Zha, R., Wei, Z., Yang, L., Geng, X., Tanaka, K., & Zhang, X. (2021) · Psychophysiology · doi:10.1111/psyp.13784 · Cited by 4
Self-citationWhere Neuroimaging and Lesion Studies Meet
Kwok, S. C. (2011) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2011.00600.x · Cited by 4
Self-citationBlumenfeld, R. S., Bliss, D. P., & D’Esposito, M. (2017) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01203 · Cited by 4
Desai, S. J., Allman, B. L., & Rajakumar, N. (2017) · Schizophrenia Bulletin · doi:10.1093/schbul/sbx159 · Cited by 4
Rule adherence warps decision-makingPreprint
Ebitz, R. B., Tu, J. C., & Hayden, B. Y. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.16.878306 · Cited by 4
Regional specialization manifests in the reliability of neural population codesPreprint
Guidera, J. A., Gramling, D. P., Comrie, A. E., Joshi, A., Denovellis, E. L., Lee, K. H., Zhou, J. J., Thompson, P., Vargas-Hernández, J. G., Yorita, A. M., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.25.576941 · Cited by 4
Regional specialization in prefrontal cortex manifests in the reliability of task progression codes
Guidera, J. A., Gramling, D. P., Comrie, A. E., Joshi, A., Tseng, S.-Y., Denovellis, E. L., Smyth, C., Lee, K. H., Zhou, J. J., Thompson, P., et al. (2026) · Neuron · doi:10.1016/j.neuron.2026.01.023 · Cited by 8
Robustness of Working Memory to Prefrontal Cortex Microstimulation
Soldado-Magraner, J., Minai, Y., Yu, B. M., & Smith, M. A. (2025) · Journal of Neuroscience · doi:10.1523/jneurosci.2197-24.2025 · Cited by 3
Contribution of amygdala to dynamic model arbitration under uncertainty
Woo, J. H., Costa, V. D., Taswell, C. A., Rothenhoefer, K. M., Averbeck, B. B., & Soltani, A. (2025) · Nature Communications · doi:10.1038/s41467-025-66745-1 · Cited by 3
Outcome Modulation Across Tasks in the Primate Dorsolateral Prefrontal Cortex
Marcos, E., Nougaret, S., Tsujimoto, S., & Genovesio, A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2017.11.019 · Cited by 4
Muñoz‐Torres, Z., Armony, J. L., Trejo‐Martínez, D., Conde, R., & Corsi‐Cabrera, M. (2016) · Experimental Brain Research · doi:10.1007/s00221-016-4746-x · Cited by 3
Cognitive Processes Underlying Impaired Decision Making in Gambling Disorder
Brevers, D., Vögele, C., & Billieux, J. (2020) · Springer eBooks · doi:10.1007/978-3-030-45500-2_11 · Cited by 3
Boroujeni, K. B., Sigona, M. K., Treuting, R. L., Manuel, T. J., Caskey, C. F., & Womelsdorf, T. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.08.04.455080 · Cited by 3
Ainsworth, M., Galeazzi, J. M., Pedreira, C., Stokes, M. G., & Buckley, M. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.26.625398 · Cited by 3
Self-citationTransient frontopolar cortex stimulation induces prolonged disruption to counterfactual processing
Ainsworth, M., Galeazzi, J. M., Pedreira, C., Stokes, M. G., & Buckley, M. J. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003495 · Cited by 5
Self-citationExecutive control fluctuations underlie behavioral variability in anthropoids
Mansouri, F. A., Kievit, R., & Buckley, M. J. (2024) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2024.10.012 · Cited by 3
Self-citationJurva, A., Singh, B., Qian, H., Wang, Z., Jacobs, M. L., Dhima, K., Englot, D. J., Roberson, S. W., Bick, S. K. B., & Constantinidis, C. (2025) · NeuroImage · doi:10.1016/j.neuroimage.2025.121240 · Cited by 2
It All Depends on the Context, but Also on the Amygdala
Cohen, Y., & Paz, R. (2015) · Neuron · doi:10.1016/j.neuron.2015.08.012 · Cited by 2
A stable, distributed code for cue value in mouse cortex during reward learningPreprint
Ottenheimer, D. J., Hjort, M. M., Bowen, A. J., Steinmetz, N. A., & Stuber, G. D. (2023) · eLife · doi:10.7554/elife.84604.2 · Cited by 4
The orbitofrontal cortex in adaptive behavior: Prediction, evaluation, and comparison
Murray, E. A., Fellows, L. K., & Rudebeck, P. H. (2024) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00088-7 · Cited by 2
Adaptive Reinforcement Learning is causally supported by Anterior Cingulate Cortex and StriatumPreprint
Treuting, R. L., Boroujeni, K. B., Gerrity, C. G., Neumann, A. R., Tiesinga, P. H. E., & Womelsdorf, T. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.12.598723 · Cited by 2
STN-PFC circuit related to attentional fluctuations during non-movement decision-making
Ai, S. (2024) · Neuroscience · doi:10.1016/j.neuroscience.2024.06.033 · Cited by 1
Theory Change in Cognitive Neurobiology: The Case of the Orbitofrontal Cortex
Barack, D. L. (2025) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.70003 · Cited by 1
Song, Y. Y., Zeng, J., Cao, H., Cheng, B., & Yang, X. (2025) · Psychological Medicine · doi:10.1017/s0033291725101323 · Cited by 2
Prefrontal modulation of striatal engagement: a hierarchical framework for goal-directed behavior
Kőszeghy, Á., & Passecker, J. (2026) · Communications Biology · doi:10.1038/s42003-026-10047-9 · Cited by 2
Koval, M. J. (2012) · Scholarship@Western (Western University) · Cited by 1
EFs in Pathological Gambling Disorder
Balconi, M., Angioletti, L., & Delfini, G. (2021) · Advances in mental health and addiction · doi:10.1007/978-3-030-82408-2_4 · Cited by 2
Funahashi, S. (2022) · Brain science · doi:10.1007/978-981-19-7268-3_4 · Cited by 2
Low-Dose Ketamine-Induced Deficits in Arbitrary Visuomotor Mapping in Monkeys
Zhao, Z., Nie, C., Jiang, C.-T., Cao, S.-H., Tian, K.-X., Han, X.-Y., Yu, S. P., & Gu, J.-W. (2023) · eNeuro · doi:10.1523/eneuro.0015-23.2023 · Cited by 1
Eldridge, M., Mohanty, A., Hines, B., Kaskan, P., & Murray, E. A. (2024) · Brain Structure and Function · doi:10.1007/s00429-024-02776-6 · Cited by 2
Capkova, L., Ainsworth, M., Mansouri, F. A., & Buckley, M. J. (2025) · eNeuro · doi:10.1523/eneuro.0117-25.2025 · Cited by 1
Self-citationFunctional Division Among Prefrontal Cortical Areas in an Analog of Wisconsin Card Sorting Test
Tanaka, K., Buckley, M. J., & Mansouri, F. A. (2017) · Springer eBooks · doi:10.1007/978-4-431-56508-6_2 · Cited by 1
Self-citationPassingham, R. E. (2021) · Oxford University Press eBooks · doi:10.1093/oso/9780198844570.003.0007 · Cited by 1
Abbass, M., Corrigan, B. W., Johnston, R., Gulli, R. A., Sachs, A. J., Lau, J. C., & Martínez-Trujillo, J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.01.10.574378 · Cited by 1
Neural dynamics underlying minute-timescale persistent behavior in the human brainPreprint
Courellis, H. S., Valiante, T. A., Mamelak, A. N., Adolphs, R., & Rutishauser, U. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.16.603717 · Cited by 1
Neural representations supporting generalization under continual learningPreprint
Kimmel, D. L., Stachenfeld, K., Kriegeskorte, N., Fusi, S., Salzman, C. D., & Shohamy, D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.07.698044 · Cited by 1
Hussein, S. (2012) · Scholarship@Western (Western University)
Imaging of Central Benzodiazepine Receptors in Chronic Cerebral Ischemia
Yamauchi, H. (2014) · Springer eBooks · doi:10.1007/978-3-642-42014-6_9
The Dissociation of Valence and Intensity Using Alliesthesia and Thermal Stimulation
Yanagihara, T. K. (2012) · doi:10.7916/d80r9wcq
Modeling the neural mechanisms underlying rule-based behavior
Rigotti, M. (2010)
Tzieropoulos, H. (2010) · Archive ouverte UNIGE (University of Geneva) · doi:10.13097/archive-ouverte/unige:5385
Lavín, C., Martín, R. S., Bravo, D., Contreras, L., & Isla, P. (2011)
Løvstad, M. (2012) · NORA - Norwegian Open Research Archives
How neuronal oscillations code for temporal statistics
ten Oever, S. (2016) · doi:10.26481/dis.20160609so
Contributions of Striatum and Orbitofrontal Cortex to Flexible Rule- Based Decision Making
Sleezer, B. J., & Hayden, B. Y. (2016) · UR Research (University of Rochester)
Neurophysiological Signals Parametrically Track Subjective Conflict during Intertemporal Choice
Lin, H. (2016) · TSpace (University of Toronto)
Decision making under risk in multiple sclerosis
Radomski, A. D. (2013) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3bg2hh5w
Salazar, R. F. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/479410
A geometric representation unveils learning dynamics in primate neuronsPreprint
Cohen, Y., Schneidman, E., & Paz, R. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/561670
Malagon‐Vina, H. (2019) · Wiener klinische Wochenschrift · doi:10.1007/s00508-019-1442-4
Cocaine Choice: A Novel Procedure for Investigating Neuronal Activation Mediating Cocaine Preference
Chow, J. J. (2018) · UKnowledge (University of Kentucky) · doi:10.13023/etd.2018.497
The role of prefrontal cortex in cognitive flexibility and control
Mansouri, F. A. (2018) · doi:10.11253/ninchishinkeikagaku.20.82
Self-citationZhukovsky, P. (2019) · Apollo (University of Cambridge) · doi:10.17863/cam.52099
Bioelectrical brain activity can predict prosocial behaviorPreprint
Алексеевич, К. М., Kozitsina, T., Myagkov, M., Кожевникова, И. С., Панков, М. Н., & Соколова, Л. В. (2021) · RePEc: Research Papers in Economics · doi:10.48550/arxiv.2105.14587 · Cited by 1
Frank, M. J. (2010) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.3286956.2972054
Imaging of Central Benzodiazepine Receptors in Chronic Cerebral Ischemia
Yamauchi, H. (2020) · Springer eBooks · doi:10.1007/978-3-030-53176-8_9
Roelfsema, P. R. (2017) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.727547584.793538055
Born, R. T., & Ruff, D. A. (2011) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.12245956.13418054
A stable, distributed code for cue value in mouse cortex during reward learningPreprint
Ottenheimer, D. J., Hjort, M. M., Bowen, A. J., Steinmetz, N. A., & Stuber, G. D. (2023) · eLife · doi:10.7554/elife.84604.1
Flexible gating between subspaces in a neural network model of internally guided task switchingPreprint
Liu, Y., & Wang, X. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.15.553375
The role of orbitofrontal cortex in economic choice behavior
Padoa‐Schioppa, C., & Shi, W. (2023) · Elsevier eBooks · doi:10.1016/b978-0-12-820480-1.00046-2
Frontoparietal activity related to neuropsychological assessment of working memoryPreprint
Jurva, A., Singh, B., Qian, H., Wang, Z., Jacobs, M. L., Dhima, K., Englot, D. J., Roberson, S. W., Bick, S. K. B., & Constantinidis, C. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.01.13.632797
Projection-specific and reversible functional blockage in the association cortex of macaque monkeys
Yokoo, S., Higo, T., Gérard-Mercier, F., Oguchi, M., Sakagami, M., Bito, H., Sakamoto, M., Ichinohe, N., & Tanaka, K. (2025) · Neuroscience Research · doi:10.1016/j.neures.2025.05.004
Self-citationNeural mechanisms of cognitive generalization across species: From hippocampus to cortex
Quan, Z., Song, D. F., & Qing, H. (2025) · Brain medicine : · doi:10.61373/bm025w.0047
Sattelberger, J., Haque, H., Liu, M., Simola, J., Palva, J. M., Halassa, M. M., & Palva, S. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.05.19.654819
Neural correlates of memory updating in the primate prefrontal cortex
Sawagashira, R., & Tanaka, M. (2025) · Communications Biology · doi:10.1038/s42003-025-08271-w
Metadata
- Authors
- Buckley, M. J., Mansouri, F. A., Hoda, H., Mahboubi, M., Browning, P. G. F., Kwok, S. C., Phillips, A., & Tanaka, K.
- Affiliations
- University of Oxford (GB)
- RIKEN Center for Brain Science (JP)
- Corresponding author
- Buckley, Mark J.
- Mansouri, Farshad A.
- Venue
- Science
- Published
- 2009-07-03
- Volume
- 325
- Issue
- 5936
- Pages
- 52-58
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2078755291
- Cited by
- 319
- References
- 64
- Citations by year
- 2026: 14 · 2025: 14 · 2024: 19 · 2023: 15 · 2022: 14 · 2021: 19 · 2020: 17 · 2019: 12 · 2018: 24 · 2017: 18 · 2016: 28 · 2015: 23 · 2014: 22 · 2013: 14 · 2012: 20
- FWCI
- 10.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- orbitofrontal cortex, anterior cingulate cortex, dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, lesion studies, working memory, rule updating, reward learning, decision-making, Wisconsin Card Sorting Test, macaque
- MeSH terms
- Animals, Behavior, Animal, Brain Mapping, Cues, Decision Making, Frontal Lobe, Learning, Macaca, Macaca mulatta, Memory, Short-Term, Neurons, Neuropsychological Tests, Reinforcement, Psychology, Reward, 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 ›
Are you an author, or do you see a problem with this page? Request a review