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Dopamine, But Not Serotonin, Regulates Reversal Learning in the Marmoset Caudate Nucleus
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Studies of visual discrimination reversal learning have revealed striking neurochemical dissociations at the level of the orbitofrontal cortex (OFC) with serotoninergic, but not dopaminergic, integrity being important for successful reversal learning. These findings have considerable implications for disorders such as obsessive compulsive disorder and schizophrenia, in which reversal learning is impaired, and which are primarily treated with drugs targeting the dopaminergic and serotoninergic systems. Dysfunction in such disorders however, is not limited to the OFC and extends subcortically to other structures implicated in reversal learning, such as the medial caudate nucleus. Therefore, because the roles of the serotonin and dopamine within the caudate nucleus are poorly understood, this study compared the effects of selective serotoninergic or selective dopaminergic depletions of the marmoset medial caudate nucleus on serial discrimination reversal learning. All monkeys were able to learn novel stimulus–reward associations but, unlike control monkeys and monkeys with selective serotoninergic medial caudate depletions, dopamine-depleted monkeys were markedly impaired in their ability to reverse this association. This impairment was not perseverative in nature. These findings are the opposite of those seen in the OFC and provide evidence for a neurochemical double dissociation between the OFC and medial caudate in the regulation of reversal learning. Although the specific contributions of these monoamines within the OFC–striatal circuit remain to be elucidated, these findings have profound implications for the development of drugs designed to remediate some of the cognitive processes underlying impaired reversal learning.
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“Depletion of dopamine in this brain region, but not in the OFC, caused deficits in marmosets (Clarke et al 2011, Clarke et al 2007)”
From Prefrontal cortex executive processes affected by stress in health and disease (2018) · cites this paper as Clarke et al 2011
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“and dopamine depletion in those brain areas impairs cognitive control (Clarke et al., 2011; Collins et al., 2000; Crofts et al., 2001; O'Neill and Brown, 2007).”
From Imaging addiction: D2 receptors and dopamine signaling in the striatum as biomarkers for impulsivity (2014) · cites this paper as Clarke et al., 2011
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Cites
A neural substrate of prediction and reward
Schultz, W., Dayan, P., & Montague, P. R. (1997) · Science · doi:10.1126/science.275.5306.1593 · Cited by 9,388
Statistical Methods for Psychology.
Gudgeon, A. C., & Howell, D. C. (1994) · Journal of the Royal Statistical Society Series D (The Statistician) · doi:10.2307/2348956 · Cited by 8,277
Beaton, A. E., & Keppel, G. (1975) · American Educational Research Journal · doi:10.2307/1162588 · Cited by 5,857
Detection Theory: A User's Guide
Macmillan, N. A., & Creelman, C. D. (1991) · Cited by 5,415
Barto, A. (1998) · IFAC Proceedings Volumes · doi:10.1016/s1474-6670(17)38315-5 · Cited by 2,172
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
Zhang, B., Li, C., & Lin, N. (2020) · De Gruyter eBooks · doi:10.1515/9783110595567-011 · Cited by 1,948
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
Self-citationNeuronal Coding of Prediction Errors
Schultz, W., & Dickinson, A. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.473 · Cited by 1,427
Ventral tegmental (A10) system: neurobiology. 1. Anatomy and connectivity
Oades, R. D., & Halliday, G. M. (1987) · Brain Research Reviews · doi:10.1016/0165-0173(87)90011-7 · Cited by 1,001
Research works printed but not linked: 1
- 10.1037/0735-7044.111.5.920 · DOI
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Bari, A., & Robbins, T. W. (2013) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.06.005 · Cited by 1,921
Self-citationThe neural basis of reversal learning: An updated perspective
Izquierdo, A., Brigman, J. L., Radke, A. K., Rudebeck, P. H., & Holmes, A. (2017) · Neuroscience · doi:10.1016/j.neuroscience.2016.03.021 · Cited by 670
Neurophysiology of performance monitoring and adaptive behavior
Ullsperger, M., Danielmeier, C., & Jocham, G. (2014) · Physiological Reviews · doi:10.1152/physrev.00041.2012 · Cited by 634
Obsessive-compulsive disorder: Puzzles and prospects
Robbins, T. W., Vaghi, M. M., & Banca, P. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.046 · Cited by 510
Self-citationFloresco, S. B. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00062 · Cited by 336
Reversal learning as a measure of impulsive and compulsive behavior in addictions
Izquierdo, A., & Jentsch, J. D. (2011) · Psychopharmacology · doi:10.1007/s00213-011-2579-7 · Cited by 313
The touchscreen operant platform for assessing executive function in rats and mice
Mar, A. C., Horner, A. E., Nilsson, S. R. O., Alsiö, J., Kent, B. A., Kim, C. H., Holmes, A., Saksida, L. M., & Bussey, T. J. (2013) · Nature Protocols · doi:10.1038/nprot.2013.123 · Cited by 271
Serotonin Selectively Modulates Reward Value in Human Decision-Making
Seymour, B., Daw, N. D., Roiser, J. P., Dayan, P., & Dolan, R. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.0053-12.2012 · Cited by 252
Compulsivity in obsessive–compulsive disorder and addictions
Figee, M., Pattij, T., Willuhn, I., Luigjes, J., van den Brink, W., Goudriaan, A. E., Potenza, M. N., Robbins, T. W., & Denys, D. A. J. P. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.12.003 · Cited by 258
Self-citationActivity patterns of serotonin neurons underlying cognitive flexibility
Matias, S., Lottem, E., Dugué, G. P., & Mainen, Z. F. (2017) · eLife · doi:10.7554/elife.20552 · Cited by 239
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Klanker, M., Feenstra, M., & Denys, D. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00201 · Cited by 209
Twenty-Five Lessons from Computational Neuromodulation
Dayan, P. (2012) · Neuron · doi:10.1016/j.neuron.2012.09.027 · Cited by 190
Puig, M. V., Rose, J., Schmidt, R., & Freund, N. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00093 · Cited by 207
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Imaging addiction: D2 receptors and dopamine signaling in the striatum as biomarkers for impulsivity
Trifilieff, P., & Martinez, D. (2014) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.06.031 · Cited by 171
Reversal learning and dopamine: a Bayesian perspective
Costa, V. D., Tran, V. L., Turchi, J., & Averbeck, B. B. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1989-14.2015 · Cited by 170
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Puig, M. V., Antzoulatos, E. G., & Miller, E. K. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.09.026 · Cited by 148
Reward, interrupted: Inhibitory control and its relevance to addictions
Jentsch, J. D., & Pennington, Z. T. (2013) · Neuropharmacology · doi:10.1016/j.neuropharm.2013.05.022 · Cited by 147
Ersche, K. D., Roiser, J. P., Abbott, S., Craig, K. J., Müller, U., Suckling, J., Ooi, C., Shabbir, S. S., Clark, L., Sahakian, B. J., et al. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2011.06.033 · Cited by 128
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Davis, C. M., DeCicco-Skinner, K. L., Roma, P. G., & Hienz, R. D. (2014) · Radiation Research · doi:10.1667/rr13359.1 · Cited by 101
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Roberts, A. (2011) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.12.037 · Cited by 89
Self-citationReser, D. H., Burman, K. J., Yu, H., Chaplin, T. A., Richardson, K. E., Worthy, K. H., & Rosa, M. G. P. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhs177 · Cited by 88
Gilmour, G., Arguello, P. A., Bari, A., Brown, V. J., Carter, C., Floresco, S., Jentsch, J. D., Tait, D. S., Young, J. W., & Robbins, T. W. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.04.006 · Cited by 81
Self-citationBarlow, R. L., Alsiö, J., Jupp, B., Rabinovich, R., Shrestha, S., Roberts, A. C., Robbins, T. W., & Dalley, J. W. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2014.335 · Cited by 77
Self-citationRoberts, C., Sahakian, B. J., & Robbins, T. W. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.09.001 · Cited by 63
Self-citationDonegan, J. J., Boley, A. M., Yamaguchi, J., Toney, G. M., & Lodge, D. J. (2019) · Nature Communications · doi:10.1038/s41467-019-10800-1 · Cited by 59
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Conn, K., Burne, T. H. J., & Kesby, J. P. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00542 · Cited by 66
Donegan, J. J., Tyson, J. A., Branch, S. Y., Beckstead, M. J., Anderson, S. A., & Lodge, D. J. (2016) · Molecular Psychiatry · doi:10.1038/mp.2016.121 · Cited by 60
Verharen, J. P. H., Adan, R. A. H., & Vanderschuren, L. J. M. J. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0454-0 · Cited by 57
The NEWMEDS rodent touchscreen test battery for cognition relevant to schizophrenia
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Self-citationGroman, S. M., James, A. S., Seu, E., Crawford, M. A., Harpster, S. N., & Jentsch, J. D. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2012.12.002 · Cited by 59
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Nilsson, S. R. O., Alsiö, J., Somerville, E. M., & Clifton, P. G. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.06.015 · Cited by 60
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McCurdy, L. Y., Sareen, P., Davoudian, P. A., & Nitabach, M. N. (2021) · Nature Communications · doi:10.1038/s41467-021-21388-w · Cited by 67
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Oikonomidis, L., Santangelo, A. M., Shiba, Y., Clarke, F. H., Robbins, T. W., & Roberts, A. C. (2017) · Developmental Neurobiology · doi:10.1002/dneu.22446 · Cited by 54
Self-citationMethamphetamine-induced increases in putamen gray matter associate with inhibitory control
Groman, S. M., Morales, A. M., Lee, B., London, E. D., & Jentsch, J. D. (2013) · Psychopharmacology · doi:10.1007/s00213-013-3159-9 · Cited by 54
Sala‐Bayo, J., Fiddian, L., Nilsson, S. R. O., Hervig, M. E.-S., McKenzie, C., Mareschi, A., Boulos, M., Zhukovsky, P., Nicholson, J. R., Dalley, J. W., et al. (2020) · Neuropsychopharmacology · doi:10.1038/s41386-020-0612-4 · Cited by 48
Self-citationEffect of lysergic acid diethylamide (LSD) on reinforcement learning in humans
Kanen, J. W., Luo, Q., Kandroodi, M. R., Cardinal, R. N., Robbins, T. W., Nutt, D. J., Carhart-Harris, R. L., & den Ouden, H. E. M. (2022) · Psychological Medicine · doi:10.1017/s0033291722002963 · Cited by 47
Self-citationAnabolic–androgenic steroids impair set-shifting and reversal learning in male rats
Wallin-Miller, K. G., & Wood, R. I. (2015) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2015.01.002 · Cited by 45
Voon, V., & Dalley, J. W. (2015) · Current topics in behavioral neurosciences · doi:10.1007/7854_2015_5013 · Cited by 46
Sex Differences in Cognitive Flexibility and Resting Brain Networks in Middle-Aged Marmosets
LaClair, M., Febo, M., Nephew, B. C., Gervais, N. J., Poirier, G. L., Workman, K. P., Chumachenko, S. Y., Payne, L., Moore, M. C., King, J. A., et al. (2019) · eNeuro · doi:10.1523/eneuro.0154-19.2019 · Cited by 42
Skelin, I., Hakstol, R., VanOyen, J., Mudiayi, D., Molina, L. A., Holec, V., Hong, N. S., Euston, D. R., McDonald, R. J., & Gruber, A. J. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12518 · Cited by 44
Cognitive control and the dopamine D2-like receptor: a dimensional understanding of addiction
Groman, S. M., & Jentsch, J. D. (2011) · Depression and Anxiety · doi:10.1002/da.20897 · Cited by 43
Chemogenetic activation of nigrostriatal dopamine neurons in freely moving common marmosets
Mimura, K., Nagai, Y., Inoue, K., Matsumoto, J., Hori, Y., Sato, C., Kimura, K., Okauchi, T., Hirabayashi, T., Nishijo, H., et al. (2021) · iScience · doi:10.1016/j.isci.2021.103066 · Cited by 40
Modeling Deficits in Attention, Inhibition, and Flexibility in HAND
Moran, L. M., Booze, R. M., & Mactutus, C. F. (2014) · Journal of Neuroimmune Pharmacology · doi:10.1007/s11481-014-9539-z · Cited by 38
Sex differences in cognitive aging: a 4-year longitudinal study in marmosets
Rothwell, E. S., Workman, K. P., Wang, D., & Agnès Lacreuse, A. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.09.015 · Cited by 37
Horst, N. K., Jupp, B., Roberts, A., & Robbins, T. W. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0272-9 · Cited by 36
Self-citationKlanker, M., Sandberg, T., Joosten, R., Willuhn, I., Feenstra, M., & Denys, D. (2015) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2015.08.011 · Cited by 37
Dopamine D 3 Receptor Availability Is Associated with Inflexible Decision Making
Groman, S. M., Smith, N. J., Petrullli, J. R., Massi, B., Chen, L., Ropchan, J. R., Huang, Y. H., Lee, D., Morris, E. D., & Taylor, J. R. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3253-15.2016 · Cited by 37
Zhukovsky, P., Puaud, M., Jupp, B., Sala‐Bayo, J., Alsiö, J., Xia, J., Searle, L., Morris, Z. S., Sabir, A., Giuliano, C., et al. (2019) · Neuropsychopharmacology · doi:10.1038/s41386-019-0381-0 · Cited by 33
Self-citationTakemoto, A., Miwa, M., Koba, R., Yamaguchi, C., Suzuki, H., & Nakamura, K. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.10.001 · Cited by 36
Serotonin depletion impairs both Pavlovian and instrumental reversal learning in healthy humans
Kanen, J. W., Apergis-Schoute, A. M., Yellowlees, R., Arntz, F. E., van der Flier, F. E., Price, A., Cardinal, R. N., Christmas, D. M., Clark, L., Sahakian, B. J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01240-9 · Cited by 34
Self-citationvan den Bosch, R., Lambregts, B., Määttä, J. I., Hofmans, L., Papadopetraki, D., Westbrook, A., Verkes, R., Booij, J., & Cools, R. (2022) · Nature Communications · doi:10.1038/s41467-022-32679-1 · Cited by 33
Oestradiol Modulation of Cognition in Adult Female Marmosets (Callithrix jacchus)
Agnès Lacreuse, A., Chang, J., Metevier, C. M., LaClair, M., Meyer, J. S., & Ferris, C. (2014) · Journal of Neuroendocrinology · doi:10.1111/jne.12147 · Cited by 34
Selective Role of the Putamen in Serial Reversal Learning in the Marmoset
Jackson, S. A. W., Horst, N. K., Axelsson, S. F. A., Horiguchi, N., Cockcroft, G. J., Robbins, T. W., & Roberts, A. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy276 · Cited by 35
Self-citationDopamine release in human associative striatum during reversal learning
Grill, F., Guitart‐Masip, M., Johansson, J. J., Jonasson, L. S., Axelsson, J., Nyberg, L. H., & Rieckmann, A. (2024) · Nature Communications · doi:10.1038/s41467-023-44358-w · Cited by 38
Effects of methylphenidate on reinforcement learning depend on working memory capacity
Kandroodi, M. R., Cook, J. L., Swart, J. C., Froböse, M. I., Geurts, D. E. M., Vahabie, A., Ahmadabadi, M. N., Cools, R., & den Ouden, H. E. M. (2021) · Psychopharmacology · doi:10.1007/s00213-021-05974-w · Cited by 39
Kesby, J. P., Markou, A., & Semenova, S. (2016) · Behavioural Brain Research · doi:10.1016/j.bbr.2016.05.034 · Cited by 32
Bowirrat, A., Chen, T. J. H., Oscar‐Berman, M., Madigan, M. A., Chen, A. L., Bailey, J. A., Braverman, E. R., Kerner, M., Giordano, J., Morse, S. A., et al. (2012) · Molecular Neurobiology · doi:10.1007/s12035-012-8247-z · Cited by 32
McGaughy, J. A., Amaral, A. C. S., Rushmore, J., Mokler, D. J., Morgane, P. J., Rosene, D. L., & Galler, J. R. (2014) · Developmental Neuroscience · doi:10.1159/000366057 · Cited by 30
Lui, L. L., & Rosa, M. G. P. (2014) · Neuroscience Research · doi:10.1016/j.neures.2014.09.012 · Cited by 28
Compulsivity in opioid dependence
Tolomeo, S., Matthews, K., Steele, J. D., & Baldacchino, A. (2017) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.09.007 · Cited by 29
Kangas, B. D., Bergman, J., & Coyle, J. T. (2016) · Animal Cognition · doi:10.1007/s10071-016-0959-4 · Cited by 31
Talpos, J. C., & Shoaib, M. C. (2015) · Handbook of experimental pharmacology · doi:10.1007/978-3-319-16522-6_6 · Cited by 27
Parr, A. C., Sydnor, V. J., Calabro, F. J., & Luna, B. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101399 · Cited by 30
Takaji, M., Takemoto, A., Yokoyama, C., Watakabe, A., Mizukami, H., Ozawa, K., Onoe, H., Nakamura, K., & Yamamori, T. (2016) · Scientific Reports · doi:10.1038/srep35809 · Cited by 26
Pastuzyn, E. D., Chapman, D. E., Wilcox, K. S., & Keefe, K. A. (2011) · Neuropsychopharmacology · doi:10.1038/npp.2011.265 · Cited by 25
Zhukovsky, P., Alsiö, J., Jupp, B., Xia, J., Guiliano, C., Jenner, L., Griffiths, J., Riley, E., Ali, S., Roberts, A., et al. (2017) · Psychopharmacology · doi:10.1007/s00213-017-4569-x · Cited by 25
Self-citationRuan, Y., Li, K.-Y., Zheng, R., Yan, Y., Wang, Z., Chen, Y., Liu, Y., Tian, J., Zhu, L., Lou, H., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110437 · Cited by 22
Neuropsychopharmacology of Cognitive Flexibility
Cools, R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00253-0 · Cited by 23
Dopamine, Salience, and Response Set Shifting in Prefrontal Cortex
Shiner, T., Symmonds, M., Guitart‐Masip, M., Fleming, S. M., Friston, K. J., & Dolan, R. J. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhu210 · Cited by 23
Excessive state switching underlies reversal learning deficits in cocaine users
Patzelt, E. H., Kurth-Nelson, Z. L., Lim, K. O., & MacDonald, A. W. (2013) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2013.09.029 · Cited by 23
Regionally distinct phasic dopamine release patterns in the striatum during reversal learning
Klanker, M., Fellinger, L., Feenstra, M. G. P., Willuhn, I., & Denys, D. A. J. P. (2016) · Neuroscience · doi:10.1016/j.neuroscience.2016.05.011 · Cited by 21
Wang, J., Zhuang, J.-Y., Fu, L., Lei, Q., Fan, M., & Zhang, W. (2020) · PLoS ONE · doi:10.1371/journal.pone.0237032 · Cited by 19
Brožka, H., Radostová, D., Pištíková, A., Valeš, K., & Stuchlík, A. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00122 · Cited by 18
Cell-based therapies for the treatment of schizophrenia
Donegan, J. J., & Lodge, D. J. (2016) · Brain Research · doi:10.1016/j.brainres.2016.08.010 · Cited by 19
Lear, A., Baker, S. N., Clarke, H. F., Roberts, A., Schmid, M. C., & Jarrett, W. (2022) · Current Research in Neurobiology · doi:10.1016/j.crneur.2022.100049 · Cited by 17
Self-citationThe Neurobiology of Impulsive Decision-Making and Reinforcement Learning in Nonhuman Animals
Groman, S. M. (2020) · Current topics in behavioral neurosciences · doi:10.1007/7854_2020_127 · Cited by 16
Thomson, D. M., Openshaw, R. L., Mitchell, E. J., Kouskou, M., Millan, M. J., la Cour, C. M., MORRIS, B. J., & Pratt, J. A. (2020) · Genes Brain & Behavior · doi:10.1111/gbb.12710 · Cited by 16
Task‐dependent function of striatal cholinergic interneurons in behavioural flexibility
Okada, K., Nishizawa, K., Setogawa, S., Hashimoto, K., & Kobayashi, K. (2017) · European Journal of Neuroscience · doi:10.1111/ejn.13768 · Cited by 16
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Highgate, Q., & Schenk, S. (2020) · Journal of the Royal Society of New Zealand · doi:10.1080/03036758.2020.1784240 · Cited by 19
Zmigrod, L., & Robbins, T. W. (2021) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01784 · Cited by 17
Self-citationBonnavion, P., Fernández, E. P., Varin, C., & d’Exaerde, A. D. K. (2019) · Neurochemistry International · doi:10.1016/j.neuint.2019.01.009 · Cited by 15
van der Merwe, R. K., Nadel, J. A., Copes‐Finke, D., Pawelko, S. S., Scott, J. S., Ghanem, M. M., Fox, M., Morehouse, C., McLaughlin, R., Maddox, C., et al. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.15910 · Cited by 16
Weismüller, B., Ghio, M., Logmin, K., Hartmann, C. J., Schnitzler, A., Pollok, B., Südmeyer, M., & Bellebaum, C. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.05.010 · Cited by 14
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Young, M. K., Conn, K., Das, J., Zou, S., Alexander, S., Burne, T. H. J., & Kesby, J. P. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.08.005 · Cited by 13
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Oros, N., Chiba, A. A., Nitz, D. A., & Krichmar, J. L. (2014) · Learning & Memory · doi:10.1101/lm.032433.113 · Cited by 12
Nilsson, S. R. O., Somerville, E. M., & Clifton, P. G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077762 · Cited by 12
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Mastrogiacomo, R., Trigilio, G., Devroye, C., Dautan, D., Ferretti, V., Losi, G., Caffino, L., Orso, G., Marotta, R., Maltese, F., et al. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01683-8 · Cited by 10
Delaney, J., Nathani, S., Tan, V., Chavez, C., Orr, A., Paek, J., Faraji, M., Setlow, B., & Urs, N. M. (2024) · Neuropsychopharmacology · doi:10.1038/s41386-024-01868-5 · Cited by 10
Boomhower, S. R., & Newland, M. C. (2019) · NeuroToxicology · doi:10.1016/j.neuro.2019.02.001 · Cited by 9
Bari, B. A., Moerke, M. J., Jedema, H. P., Effinger, D. P., Cohen, J. Y., & Bradberry, C. W. (2021) · Behavioral Neuroscience · doi:10.1037/bne0000492 · Cited by 10
Arad, M., & Weiner, I. (2011) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2011.06.004 · Cited by 9
Maith, O., Baladron, J., Einhäuser, W., & Hamker, F. H. (2023) · iScience · doi:10.1016/j.isci.2023.106599 · Cited by 8
Metadata
- Authors
- Clarke, H. F., Hill, G. J., Robbins, T. W., & Roberts, A. C.
- Affiliations
- University of Cambridge (GB)
- Corresponding author
- Clarke, Hannah F.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2011-03-16
- Volume
- 31
- Issue
- 11
- Pages
- 4290-4297
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC3083841
- OpenAlex
- W1966180070
- Cited by
- 144
- References
- 94
- Citations by year
- 2026: 3 · 2025: 4 · 2024: 10 · 2023: 3 · 2022: 9 · 2021: 13 · 2020: 13 · 2019: 12 · 2018: 7 · 2017: 6 · 2016: 10 · 2015: 11 · 2014: 16 · 2013: 13 · 2012: 7
- FWCI
- 5.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, other-oa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- James S. McDonnell Foundation
- Wellcome Trust (75491, 076274/Z/04/Z, 093875)
- University of Cambridge
- Medical Research Council
- Newnham College, University of Cambridge
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Keywords
- reversal learning, dopamine, serotonin, marmoset, orbitofrontal cortex, perseveration, obsessive-compulsive disorder, schizophrenia, cognitive impairment
- MeSH terms
- Analysis of Variance, Animals, Callithrix, Caudate Nucleus, Chromatography, High Pressure Liquid, Discrimination Learning, Dopamine, Female, Male, Photic Stimulation, Reversal Learning, Reward, Serotonin, Visual Perception
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