Dopamine signaling in the nucleus accumbens core mediates latent inhibition
Open accessAbstract
Studies investigating the neural mechanisms by which associations between cues and predicted outcomes control behavior often use associative learning frameworks to understand the neural control of behavior. These frameworks do not always account for the full range of effects that novelty can have on behavior and future associative learning. Here, in mice, we show that dopamine in the nucleus accumbens core is evoked by novel, neutral stimuli, and the trajectory of this response over time tracked habituation to these stimuli. Habituation to novel cues before associative learning reduced future associative learning, a phenomenon known as latent inhibition. Crucially, trial-by-trial dopamine response patterns tracked this phenomenon. Optogenetic manipulation of dopamine responses to the cue during the habituation period bidirectionally influenced future associative learning. Thus, dopamine signaling in the nucleus accumbens core has a causal role in novelty-based learning in a way that cannot be predicted based on purely associative factors.
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Dopamine release in the medial NAc core in response to unconditioned auditory cues has been shown to facilitate latent inhibition.
“Additionally, dopamine release in the medial NAc core in response to unconditioned auditory cues has been shown to facilitate latent inhibition, in which habituation to repeated presentation of a neutral sensory stimulus reduces its ability to drive cue-outcome learning (Kutlu et al., 2022).”
From Ventral striatum dopamine release encodes unique properties of visual stimuli in mice (2023) · cites this paper as Kutlu et al., 2022
The Results section (‘Dopamine effects cannot be explained by associative factors’; page unavailable) reports the opposite direction: stimulating NAc core dopamine during neutral-cue pre-exposure disrupted latent inhibition, while inhibiting dopamine strengthened it. The paper supports a role for dopamine in latent inhibition, but not the claim that its release facilitates the effect. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredPrevious literature suggests that dopaminergic neuron firing and dopamine release in the medial NAc core in response to novel sensory events habituates as the stimulus becomes familiar.
“Previous literature suggests that dopaminergic neuron firing (Schultz, 1998) and dopamine release in the medial NAc core (Kutlu et al., 2022) in response to novel sensory events habituates as the stimulus becomes familiar.”
From Ventral striatum dopamine release encodes unique properties of visual stimuli in mice (2023) · cites this paper as Kutlu et al., 2022
The Results section reports that novel neutral stimuli evoked dopamine responses in the NAc core and that those responses diminished with repeated exposure. The cited paper supports the dopamine-release portion of the sentence, not the separately cited neuron-firing portion. Our copy identifies the recording site as the NAc core but does not establish the more specific “medial NAc core” location. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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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 · see citing works
Bardo, M. T., & Hammer, R. P. (1991) · Neuroscience · doi:10.1016/0306-4522(91)90226-e · Cited by 3,229 · see citing works
Pearce, J. M., & Hall, G. (1980) · Psychological Review · doi:10.1037/0033-295x.87.6.532 · Cited by 3,023 · see citing works
A theory of attention: Variations in the associability of stimuli with reinforcement
Mackintosh, N. J. (1975) · Psychological Review · doi:10.1037/h0076778 · Cited by 2,733 · see citing works
Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex.
Pavlov, P. I. (1930) · Archives of Neurology And Psychiatry · doi:10.1001/archneurpsyc.1930.02220110256018 · Cited by 2,681 · see citing works
Context, time, and memory retrieval in the interference paradigms of Pavlovian learning
Bouton, M. E. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.1.80 · Cited by 1,896 · see citing works
Effects of an expanding-spaced vs massed exposure schedule on fear reduction and return of fear
Rowe, M. K., & Craske, M. G. (1998) · Behaviour Research and Therapy · doi:10.1016/s0005-7967(97)10016-x · Cited by 1,778 · see citing works
Rankin, C. H., Abrams, T., Barry, R. J., Bhatnagar, S., Clayton, D. F., Colombo, J., Coppola, G., Geyer, M. A., Glanzman, D. L., Marsland, S., et al. (2009) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2008.09.012 · Cited by 1,665 · see citing works
A model for stimulus generalization in Pavlovian conditioning.
Pearce, J. M. (1987) · Psychological Review · doi:10.1037/0033-295x.94.1.61 · Cited by 1,046 · see citing works
Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors
Patriarchi, T., Cho, J. R., Merten, K., Howe, M. W., Marley, A., Xiong, W.-H., Folk, R. W., Broussard, G. J., Liang, R., Jang, M. J., et al. (2018) · Science · doi:10.1126/science.aat4422 · Cited by 1,045 · see citing works
Mesolimbocortical and nigrostriatal dopamine responses to salient non-reward events
Horvitz, J. C. (2000) · Neuroscience · doi:10.1016/s0306-4522(00)00019-1 · Cited by 967 · see citing works
Latent inhibition: The effect of nonreinforced pre-exposure to the conditional stimulus.
Lubow, R. E., & Moore, A. U. (1959) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0046700 · Cited by 806 · see citing works
Lubow, R. E. (1973) · Psychological Bulletin · doi:10.1037/h0034425 · Cited by 793 · see citing works
Dissociable dopamine dynamics for learning and motivation
Mohebi, A., Pettibone, J. R., Hamid, A., Wong, J.-M. T., Vinson, L. T., Patriarchi, T., Tian, L., Kennedy, R. T., & Berke, J. D. (2019) · Nature · doi:10.1038/s41586-019-1235-y · Cited by 714 · see citing works
Associative learning mediates dynamic shifts in dopamine signaling in the nucleus accumbens
Day, J. J., Roitman, M. F., Wightman, R. M., & Carelli, R. M. (2007) · Nature Neuroscience · doi:10.1038/nn1923 · Cited by 710 · see citing works
Corbit, L. H., Muir, J. L., & Balleine, B. W. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-09-03251.2001 · Cited by 564 · see citing works
Is the short-latency dopamine response too short to signal reward error?
Redgrave, P., Prescott, T. J., & Gurney, K. (1999) · Trends in Neurosciences · doi:10.1016/s0166-2236(98)01373-3 · Cited by 506 · see citing works
A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System
de Jong, J. W., Afjei, S. A., Dorocic, I. P., Peck, J. R., Liu, C. J., Kim, C. K., Tian, L., Deisseroth, K. A., & Lammel, S. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.005 · Cited by 506 · see citing works
Dopamine: generalization and bonuses
Kakade, S. M., & Dayan, P. (2002) · Neural Networks · doi:10.1016/s0893-6080(02)00048-5 · Cited by 477 · see citing works
Dopamine neurons create Pavlovian conditioned stimuli with circuit-defined motivational properties
Saunders, B. T., Richard, J. M., Margolis, E. B., & Janak, P. H. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0191-4 · Cited by 365 · see citing works
Habituatory response decrement in the intact organism.
Harris, J. D. (1943) · Psychological Bulletin · doi:10.1037/h0053918 · Cited by 358 · see citing works
Yorgason, J. T., España, R. A., & Jones, S. R. (2011) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.03.001 · Cited by 318 · see citing works
Dopamine neurons share common response function for reward prediction error
Eshel, N., Tian, J., Bukwich, M., & Uchida, N. (2016) · Nature Neuroscience · doi:10.1038/nn.4239 · Cited by 306 · see citing works
Hart, A. S., Rutledge, R. B., Glimcher, P. W., & Phillips, P. E. M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.2489-13.2014 · Cited by 294 · see citing works
Dopamine transients are sufficient and necessary for acquisition of model-based associations
Sharpe, M. J., Chang, C. Y., Liu, M. A., Batchelor, H. M., Mueller, L. E., Jones, J. L., Niv, Y., & Schoenbaum, G. M. (2017) · Nature Neuroscience · doi:10.1038/nn.4538 · Cited by 284 · see citing works
Oleson, E. B., Gentry, R. N., Chioma, V. C., & Cheer, J. F. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.3087-12.2012 · Cited by 272 · see citing works
Menegas, W., Babayan, B. M., Uchida, N., & Watabe‐Uchida, M. (2017) · eLife · doi:10.7554/elife.21886 · Cited by 265 · see citing works
Latent inhibition of conditioned dopamine release in rat nucleus accumbens
Young, A. M. J., Joseph, M. H., & Gray, J. A. (1993) · Neuroscience · doi:10.1016/0306-4522(93)90378-s · Cited by 261 · see citing works
Effects of US habituation following conditioning.
Rescorla, R. A. (1973) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0033815 · Cited by 253 · see citing works
Dopamine release in the nucleus accumbens core signals perceived saliency
Kutlu, M. G., Zachry, J. E., Melugin, P. R., Cajigas, S. A., Chevee, M. F., Kelly, S. J., Kutlu, B., Tian, L., Siciliano, C. A., & Calipari, E. S. (2021) · Current Biology · doi:10.1016/j.cub.2021.08.052 · Cited by 238 · see citing works
Self-citationHall, G., & Honey, R. C. (1989) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.15.3.232 · Cited by 237 · see citing works
Latent inhibition: A neural network approach.
Schmajuk, N. A., Lam, Y., & Gray, J. A. (1996) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.22.3.321 · Cited by 235 · see citing works
Nonassociative learning processes determine expression and extinction of conditioned fear in micePreprint
Kamprath, K., & Wotjak, C. T. (2004) · Learning & Memory · doi:10.1101/lm.86104 · Cited by 188 · see citing works
Lubow, R. E., Rifkin, B., & Alek, M. (1976) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.2.1.38 · Cited by 183 · see citing works
Aversive stimulus differentially triggers subsecond dopamine release in reward regions
Budygin, E. A., Park, J., Bass, C. E., Grinevich, V. P., Bonin, K. D., & Wightman, R. M. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2011.10.056 · Cited by 152 · see citing works
Latent inhibition: A neural network approach.
Schmajuk, N. A., Lam, Y., & Gray, J. A. B. (1996) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.22.3.321 · Cited by 133 · see citing works
Young, A. M. J. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2004.03.003 · Cited by 123 · see citing works
Joseph, M. H., Peters, S. L., & Gray, J. A. (1993) · Psychopharmacology · doi:10.1007/bf02246971 · Cited by 119 · see citing works
McDiarmid, T. A., Bernardos, A. C., & Rankin, C. H. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.05.028 · Cited by 119 · see citing works
Cragg, S. J., Rice, M. E., & Greenfield, S. A. (1997) · Journal of Neurophysiology · doi:10.1152/jn.1997.77.2.863 · Cited by 118 · see citing works
Cue-Evoked Dopamine Promotes Conditioned Responding during Learning
Morrens, J., Aydın, Ç., van Rensburg, A. J., Rabell, J. E., & Haesler, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.012 · Cited by 118 · see citing works
Context specificity of latent inhibition in taste aversion learning.
Hall, G., & Channell, S. (1986) · PubMed · doi:10.1080/14640748608402224 · Cited by 114 · see citing works
A Paranigral VTA Nociceptin Circuit that Constrains Motivation for Reward
Parker, K. E., Pedersen, C. E., Gomez, A. M., Spangler, S. M., Walicki, M. C., Feng, S., Stewart, S., Otis, J. M., Al‐Hasani, R., McCall, J. G., et al. (2019) · Cell · doi:10.1016/j.cell.2019.06.034 · Cited by 113 · see citing works
Contextual control over conditioned responding in a latent inhibition paradigm.
Westbrook, R. F., Jones, M. L., Bailey, G. K., & Harris, J. A. (2000) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.26.2.157 · Cited by 106 · see citing works
Dopamine transients do not act as model-free prediction errors during associative learning
Sharpe, M. J., Batchelor, H. M., Mueller, L. E., Chang, C. Y., Maes, E. J. P., Niv, Y., & Schoenbaum, G. M. (2020) · Nature Communications · doi:10.1038/s41467-019-13953-1 · Cited by 84 · see citing works
Decreased habituation of midlatency auditory evoked responses in parkinson's disease
Teo, C., Rasco, L., Al‐Mefty, K., Skinner, R. D., Boop, F. A., & García‐Rill, E. (1997) · Movement Disorders · doi:10.1002/mds.870120506 · Cited by 82 · see citing works
Dopamine neuron ensembles signal the content of sensory prediction errors
Stalnaker, T. A., Howard, J. D., Takahashi, Y. K., Gershman, S. J., Kahnt, T., & Schoenbaum, G. (2019) · eLife · doi:10.7554/elife.49315 · Cited by 74 · see citing works
Contextual control over conditioned responding in a latent inhibition paradigm.
Westbrook, R. F., Jones, M. L., Bailey, G. K., et al. (2000) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.26.2.157 · Cited by 73 · see citing works
Delacasa, G., & Lubow, R. E. (1995) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1995.1051 · Cited by 68 · see citing works
Direct dopamine terminal regulation by local striatal microcircuitry
Nolan, S. O., Zachry, J. E., Johnson, A. R., Brady, L. J., Siciliano, C. A., & Calipari, E. S. (2020) · Journal of Neurochemistry · doi:10.1111/jnc.15034 · Cited by 64 · see citing works
Past experience shapes the neural circuits recruited for future learning
Sharpe, M. J., Batchelor, H. M., Mueller, L. E., Gardner, M., & Schoenbaum, G. M. (2021) · Nature Neuroscience · doi:10.1038/s41593-020-00791-4 · Cited by 55 · see citing works
Role of primary motivation in stimulus preexposure effects.
Killcross, S., & Balleine, B. W. (1996) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.22.1.32 · Cited by 53 · see citing works
Prior experience conditionally inhibits the expression of new learning in Drosophila
Jacob, P. F., Vargas-Gutierrez, P., Okray, Z., Vietti‐Michelina, S., Felsenberg, J., & Waddell, S. (2021) · Current Biology · doi:10.1016/j.cub.2021.05.056 · Cited by 43 · see citing works
Kutlu, M. G., & Schmajuk, N. A. (2012) · Learning & Behavior · doi:10.3758/s13420-012-0083-5 · Cited by 35 · see citing works
Latent inhibition: The effects of ITI and CS intensity during preexposure
Schnur, P., & Lubow, R. E. (1976) · Learning and Motivation · doi:10.1016/0023-9690(76)90004-7 · Cited by 33 · see citing works
Some parameters of latent inhibition
Ayres, J. J. B., Philbin, D., Cassidy, S., Bellino, L., & Redlinger, E. (1992) · Learning and Motivation · doi:10.1016/0023-9690(92)90009-b · Cited by 31 · see citing works
Role of primary motivation in stimulus preexposure effects.
Killcross, S., & Balleine, B. W. (1996) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.22.1.32 · Cited by 28 · see citing works
Westbrook, R. F., Bond, N. W., & Feyer, A.-M. (1981) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037//0097-7403.7.4.362 · Cited by 27 · see citing works
Westbrook, R. F., Bond, N. W., & Feyer, A.-M. (1981) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.7.4.362 · Cited by 20 · see citing works
The effect of levodopa on the habituation of the acoustic-palpebral reflex in Parkinson's disease.
Rey, R., Garretto, N., Bueri, J. A., Simonetti, D. D., Sanz, O. P., & Sica, R. E. P. (1996) · PubMed · Cited by 13 · see citing works
The on-baseline latent inhibition effect is not counterconditioning
Killcross, S., Dickinson, A., & Robbins, T. W. (1995) · Psychopharmacology · doi:10.1007/bf02245256 · Cited by 5 · see citing works
Sharpe, M. J., Chang, C. Y., Liu, M. A., Batchelor, H. M., Mueller, L. E., Jones, J. L., Niv, Y., & Schoenbaum, G. M. (2017) · Nature Neuroscience · doi:10.1038/nn0817-1189e · Cited by 5 · see citing works
Flagged first, then by citations
Research works printed but not linked: 3
- [9]Rescorla R & Wagner A A theory of Pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. in Classical Conditioning II: Current Research and Theory vol. Vol. 2 (1972).
- [36]Sokolov EN Neuronal models and the orienting reflex. The central nervous system and behavior, 3rd Conference 187– 276 (1960).
- [45]Schultz W, Dayan P & Montague PR A neural substrate of prediction and reward. Science 275, 1593– 1599 (1997). 9054347
Cited by
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Explaining dopamine through prediction errors and beyond
Gershman, S. J., Assad, J. A., Datta, S. R., Linderman, S. W., Sabatini, B. L., Uchida, N., & Wilbrecht, L. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01705-4 · Cited by 101 · see citing works
Zachry, J. E., Kutlu, M. G., Yoon, H. J., Leonard, M. Z., Chevée, M., Patel, D. D., Gaidici, A., Kondev, V., Thibeault, K. C., Bethi, R., et al. (2023) · Neuron · doi:10.1016/j.neuron.2023.11.023 · Cited by 75 · see citing works
Sias, A. C., Jafar, Y., Goodpaster, C. M., Ramírez-Armenta, K., Wrenn, T. M., Griffin, N. K., Patel, K., Lamparelli, A. C., Sharpe, M. J., & Wassum, K. M. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01586-7 · Cited by 78 · see citing works
The nucleus accumbens in reward and aversion processing: insights and implications
Xu, Y., Lin, Y., Yu, M., & Zhou, K. (2024) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2024.1420028 · Cited by 77 · see citing works
State and rate-of-change encoding in parallel mesoaccumbal dopamine pathways
de Jong, J. W., Liang, Y., Verharen, J. P. H., Fraser, K. M., & Lammel, S. (2024) · Nature Neuroscience · doi:10.1038/s41593-023-01547-6 · Cited by 50 · see citing works
Mesostriatal dopamine is sensitive to changes in specific cue-reward contingencies
Garr, E., Cheng, Y., Jeong, H., Brooke, S., Castell, L., Bal, A., Magnard, R., Namboodiri, V. M. K., & Janak, P. H. (2024) · Science Advances · doi:10.1126/sciadv.adn4203 · Cited by 34 · see citing works
The zona incerta in control of novelty seeking and investigation across species
Monosov, I. E., Ogasawara, T., Haber, S. N., Heimel, J. A., & Ahmadlou, M. (2022) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2022.102650 · Cited by 34 · see citing works
Goedhoop, J. N., van den Boom, B. J. G., Robke, R., Veen, F., Fellinger, L., van Elzelingen, W., Arbab, T., & Willuhn, I. (2022) · eLife · doi:10.7554/elife.82711 · Cited by 29 · see citing works
Dopamine neurons drive spatiotemporally heterogeneous striatal dopamine signals during learning
Engel, L., Wolff, A. R., Blake, M. L., Collins, V. L., Sinha, S., & Saunders, B. T. (2024) · Current Biology · doi:10.1016/j.cub.2024.05.069 · Cited by 27 · see citing works
Nucleus accumbens local circuit for cue-dependent aversive learning
Belilos, A. J., Gray, C., Sanders, C., Black, D., Mays, E., Richie, C. T., Sengupta, A., Hake, H. S., & Francis, T. C. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.113488 · Cited by 24 · see citing works
Pavlovian safety learning: An integrative theoretical review
Laing, P., Vervliet, B., Dunsmoor, J., & Harrison, B. J. (2024) · Psychonomic Bulletin & Review · doi:10.3758/s13423-024-02559-4 · Cited by 23 · see citing works
Role of dopamine neurons in familiarity
Fleury, S., Kolaric, R., Espera, J., Ha, Q. H., Tomaio, J. N., Gether, U., Sørensen, A. T., & Mingote, S. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16326 · Cited by 21 · see citing works
Ventral striatum dopamine release encodes unique properties of visual stimuli in mice
Gonzalez, L. S., Fisher, A. A., D'Souza, S. P., Cotella, E. M., Lang, R. A., & Robinson, J. E. (2023) · eLife · doi:10.7554/elife.85064 · Cited by 18 · see citing works
“Previous literature suggests that dopaminergic neuron firing (Schultz, 1998) and dopamine release in the medial NAc core (Kutlu et al., 2022) in response to novel sensory events habituates as the stimulus becomes familiar.”
BackgroundMuir, J., Iyer, E. S., Tse, Y. C., Sorensen, J., Wu, S. S., Eid, R. S., Cvetkovska, V., Wassef, K., Gostlin, S. K., Vitaro, P., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01748-7 · Cited by 16 · see citing works
Matzel, L. D., & Sauce, B. (2023) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2023.1060786 · Cited by 17 · see citing works
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Hamati, R., Ahrens, J., Shvetz, C., Holahan, M. R., & Tuominen, L. J. (2023) · European Journal of Neuroscience · doi:10.1111/ejn.16157 · Cited by 14 · see citing works
Dinçkol, Ö., Wenger, N. H., Zachry, J. E., & Kutlu, M. G. (2023) · Scientific Reports · doi:10.1038/s41598-023-49686-x · Cited by 12 · see citing works
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Wolff, A. R., & Saunders, B. T. (2024) · eNeuro · doi:10.1523/eneuro.0421-23.2024 · Cited by 17 · see citing works
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Basu, A., Yang, J.-H., Yu, A. L., Glaeser-Khan, S., Feng, J., Krystal, J. H., Li, Y., & Kaye, A. P. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.10.13.511463 · Cited by 12 · see citing works
Nucleus accumbens dopamine release reflects Bayesian inference during instrumental learning
Qü, A. J., Tai, L.-H., Hall, C. D., Tu, E. M., Eckstein, M. K., Mishchanchuk, K., Lin, W. C., Chase, J. B., MacAskill, A. F., Collins, A. G. E., et al. (2025) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1013226 · Cited by 9 · see citing works
Dopamine encoding of novelty facilitates efficient uncertainty-driven exploration
Wang, Y., Lak, A., Manohar, S., & Bogacz, R. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1011516 · Cited by 10 · see citing works
Pan-Vazquez, A., Araujo, Y. S., McMannon, B., Louka, M., Bandi, A., Haetzel, L. M., Faulkner, M., Pillow, J. W., Daw, N. D., & Witten, I. B. (2024) · Current Biology · doi:10.1016/j.cub.2024.09.045 · Cited by 11 · see citing works
Contextual cues facilitate dynamic value encoding in the mesolimbic dopamine system
Fraser, K. M., Collins, V. L., Wolff, A. R., Ottenheimer, D. J., Bornhoft, K. N., Pat, F., Chen, B. J., Janak, P. H., & Saunders, B. T. (2025) · Current Biology · doi:10.1016/j.cub.2024.12.031 · Cited by 10 · see citing works
Wallace, C. W., Holleran, K. M., Slinkard, C. Y., Centanni, S. W., Lapish, C. C., & Jones, S. R. (2025) · Neuropharmacology · doi:10.1016/j.neuropharm.2025.110458 · Cited by 16 · see citing works
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Wallace, C. W., Holleran, K. M., Slinkard, C. Y., Centanni, S. W., & Jones, S. R. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.02.05.578840 · Cited by 9 · see citing works
Striatal dopamine signals errors in prediction across different informational domains
Costa, K. M., Shimbo, A., Stalnaker, T. A., Raheja, N., Mirani, J., Sercander, C., & Schoenbaum, G. M. (2025) · Science Advances · doi:10.1126/sciadv.adq9684 · Cited by 16 · see citing works
Su, H., Ye, T., Cao, S., & Hu, C. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1416222 · Cited by 8 · see citing works
Striatal dopamine release reflects a domain-general prediction errorPreprint
Costa, K. M., Raheja, N., Mirani, J., Sercander, C., & Schoenbaum, G. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.08.19.553959 · Cited by 8 · see citing works
“But why?” Dopamine and causal learning
Namboodiri, V. M. K. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101443 · Cited by 6 · see citing works
Prefrontal Dopamine in Flexible Adaptation to Environmental Changes: A Game for Two Players
Latagliata, E. C., Orsini, C., Cabib, S., Biagioni, F., Fornai, F., & Puglisi‐Allegra, S. (2023) · Biomedicines · doi:10.3390/biomedicines11123189 · Cited by 7 · see citing works
Syncopation as Probabilistic Expectation: Conceptual, Computational, and Experimental Evidence
Fram, N. R., & Berger, J. (2023) · Cognitive Science · doi:10.1111/cogs.13390 · Cited by 5 · see citing works
Wei, W., Zhou, Y., & Zhang, Y. (2024) · Asia Pacific Journal of Management · doi:10.1007/s10490-024-09998-6 · Cited by 5 · see citing works
Dopamine Supports Reward Prediction to Shape Reward-Pursuit Strategy
Malvaez, M., Suarez, A., Griffin, N. K., Ramírez-Armenta, K., Ostlund, S. B., & Wassum, K. M. (2026) · Journal of Neuroscience · doi:10.1523/jneurosci.1636-25.2026 · Cited by 5 · see citing works
Losing the Filter: How Kynurenine Pathway Dysregulation Impairs Habituation
de la Flor, M. A., & O’Connor, J. C. (2025) · Cells · doi:10.3390/cells14221786 · Cited by 3 · see citing works
Dopamine in the nucleus accumbens in valence-based learning: is it really important?
Rodrigues, A. J. (2024) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2024.101462 · Cited by 3 · see citing works
Marcus, M. M., & Banks, M. L. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106217 · Cited by 3 · see citing works
Duffer, K., Gillis, Z. S., & Morrison, S. E. (2023) · eNeuro · doi:10.1523/eneuro.0196-23.2023 · Cited by 3 · see citing works
Coelho, G. C., Crespo, L. G. S. C., Sampaio, M. D. F. D. S., da Silva, R. C. B., Samuels, R. I., Carey, R. J., & Carrera, M. P. (2024) · Behavioural Brain Research · doi:10.1016/j.bbr.2024.115221 · Cited by 3 · see citing works
Joint models reveal human subcortical underpinnings of choice and learning behavior
Miletić, S., Stevenson, N., Bazin, P., Alkemade, A., Isherwood, S. J., Trutti, A. C., Tse, D. H. Y., Haberg, A. K., & Forstmann, B. U. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2502269122 · Cited by 3 · see citing works
Cocaine and Morphine Converge to Disrupt Chloride Homeostasis in Ventral Tegmental Area GABA Neurons
Pearson, A. C., Kimmey, B. A., Taormina, M. B., Holden, W. M., & Ostroumov, A. (2025) · Addiction Biology · doi:10.1111/adb.70104 · Cited by 2 · see citing works
Representational similarity modulates neural and behavioral signatures of novelty
Becker, S., Modirshanechi, A., & Gerstner, W. (2026) · Neuron · doi:10.1016/j.neuron.2026.01.007 · Cited by 2 · see citing works
Reinforcement learning with dopamine: A convergence of natural and artificial intelligence
Masset, P., & Gershman, S. J. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-29867-7.00019-0 · Cited by 3 · see citing works
Contexts facilitate dynamic value encoding in the mesolimbic dopamine systemPreprint
Fraser, K. M., Collins, V. L., Wolff, A. R., Ottenheimer, D. J., Bornhoft, K. N., Pat, F., Chen, B. J., Janak, P. H., & Saunders, B. T. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.05.565687 · Cited by 2 · see citing works
Dorsolateral striatal acetylcholine reorganizes neural ensembles to anticipate threatPreprint
Dinckol, O., Wenger, N. H., Maddox, C., Good, T., Copling, A., Patel, B. P., Bozdag, F. Z., & Kutlu, M. G. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.10.693585 · Cited by 2 · see citing works
Kutlu, M. G., Gabriel, S. A. C., Tat, J., Zachry, J. E., & Calipari, E. S. (2025) · eNeuro · doi:10.1523/eneuro.0358-25.2025 · Cited by 1 · see citing works
Dinckol, O., Wenger, N. H., Copling, A., Patel, B. P., & Kutlu, M. G. (2026) · Brain Sciences · doi:10.3390/brainsci16040397 · Cited by 2 · see citing works
A brief history of dopamine prediction errors
Dudhabhate, B. B., & Costa, K. M. (2026) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2026.1825622 · Cited by 1 · see citing works
What does dopamine release reveal about latent inhibition?
Burton, T. J., Hart, G., & Balleine, B. W. (2022) · Learning & Behavior · doi:10.3758/s13420-022-00556-y · Cited by 1 · see citing works
Wang, Y., Shi, M., & Zhang, J. (2023) · World Journal of Psychiatry · doi:10.5498/wjp.v13.i12.1037 · Cited by 1 · see citing works
VTA Dopamine Neurons Drive Spatiotemporally Heterogeneous Striatal Dopamine Signals During LearningPreprint
Engel, L., Wolff, A. R., Blake, M. L., Collins, V. L., Sinha, S., & Saunders, B. T. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4530804 · Cited by 1 · see citing works
Joint models reveal human subcortical underpinnings of choice and learning behaviourPreprint
Miletić, S., Stevenson, N., Bazin, P., Alkemade, A., Isherwood, S. J., Trutti, A. C., Tse, D. H. Y., Haberg, A. K., & Forstmann, B. U. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.20.629647 · Cited by 1 · see citing works
Hamati, R., Ahrens, J., Shvetz, C., Holahan, M. R., & Tuominen, L. J. (2023) · doi:10.22541/au.167644810.09706749/v1
Dopamine tracks adaptive learning of action representationsPreprint
Côme, M., Lespart, A., Gulmez, A., Keshishian, L., Jehl, J., Bousseyrol, E., Didienne, S., Vicq, É., Borgne, T. L., Mourot, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.28.605479
Midbrain KCC2 downregulation: Implications for stress-related and substance use behaviors
Pearson, A. C., & Ostroumov, A. (2024) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2024.102901
Examining the role of the photopigment melanopsin in the striatal dopamine response to light
Gonzalez, L. S., Fisher, A. A., Grover, K. E., & Robinson, J. E. (2025) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2025.1568878
Kasuga, Y., Gu, X.-W., Ohnuki, T., Uematsu, A., Yoshida, R., Yanagihara, D., & Johansen, J. P. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.04.17.649280
Dopamine beyond temporal-difference reinforcement learning
Costa, K. M., & Schoenbaum, G. (2025) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-443-29867-7.00024-4
Sex differences in latent inhibition and their implications for psychotic disordersPreprint
Mawson, E. R., Hall, J., & Thomas, K. L. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.09.24.677991
Perry, C., John, R., Trinh, H. B., Richards, B. K., Drummond, K. D., Park, C. H. J., & Kim, J. H. (2025) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2025.1636674 · Cited by 1 · see citing works
PALMS: Pavlovian Associative Learning Models SimulatorPreprint
Mondragón, E., Fixman, M., Abati, A., Nimmo, J., & Lim, S. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6218061
Building Goal-Directed Cognitive GraphsPreprint
Gungi, A., Sepúlveda, P., Aitsahalia, I. F., Blanco-Pozo, M., & Iigaya, K. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.02.18.706628
Dopamine takes a hit: how neuroscience is rethinking the ‘feel-good’ chemical
Adam, D. (2026) · Nature · doi:10.1038/d41586-026-00836-x · Cited by 2 · see citing works
Effects of Sex Differences on Conditioned Fear Extinction and Safety Learning in C57BL/6J Mice
Liu, Z., Pan, H., Lei, H., & Sun, X. (2026) · Brain Sciences · doi:10.3390/brainsci16030336
From general processes to individual differences: Pavlov’s legacy
Navarro, V. M., Dwyer, D. M., & Honey, R. C. (2026) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2026.108159
This paper changed my life: Erin Calipari ponders the nuances of rewarding and aversive stimuli
Calipari, E. S. (2026) · The Transmitter · doi:10.53053/dkii4319
Hu, Y., Yang, X., Chen, Q.-L., Song, F., & Qiu, J. (2026) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2026.101071
PALMS: A Computational Implementation for Pavlovian Associative Learning Models’ SimulationPreprint
Fixman, M., Abati, A., Nimo, J. J., Lim, S., & Mondragón, E. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.05.722899
Dissecting the Role of the Lateral Entorhinal Cortex in Memory InterferencePreprint
Ghazy, O., Mansour, M., Tomaio, J. N., & Mingote, S. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.06.05.730409
Levy, C. C., Carlson, V. C. C., Grant, K. A., & Salinas, A. G. (2026) · Neuropsychopharmacology · doi:10.1038/s41386-026-02473-4
Dopamine Response to Unexpected Aversive Outcomes Drives the Return of Extinguished Fear
Patel, B. P., Tat, J., Dinçkol, Ö., Wenger, N. H., Copling, A., & Kutlu, M. G. (2026) · Brain Sciences · doi:10.3390/brainsci16070690
Serendipity, Strategy and Psychic Secretions: From General Processes to Individual Differences
Honey, R. C. (2026) · Quarterly Journal of Experimental Psychology · doi:10.1177/17470218261484941
Niido, M., Yoshida, T., Isoo, N., Mimaki, M., Nakajima, K., & Hayashi, T. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.01.748702
Dynamic salience as a basis for behavioural meta-malleability
Sosa, R., & Treviño, M. (2026) · Royal Society Open Science · doi:10.1098/rsos.252449
Lawen, A., Succi, I., Lichtman, D., Peterka, D. S., Abdus-Saboor, I., & Kahn, I. (2026) · Science Advances · doi:10.1126/sciadv.aed0935
Wang, H., Zhou, Z., Zhang, Z., Zhang, L., Xian, J., Liu, H., Wang, R., Wang, S., Yang, Y., Guo, D., et al. (2026) · Research Square · doi:10.21203/rs.3.rs-10994413/v1
- Authors
- Kutlu, M. G., Zachry, J. E., Melugin, P. R., Tat, J., Cajigas, S., Isiktas, A. U., Patel, D. D., Siciliano, C. A., Schoenbaum, G., Sharpe, M. J., & Calipari, E. S.
- Affiliations
- Vanderbilt University (US)
- National Institute on Drug Abuse (US)
- University of California, Los Angeles (US)
- Corresponding author
- Calipari, Erin S.
- ORCID
- Venue
- Nature Neuroscience
- Published
- 2022-07-28
- Volume
- 25
- Issue
- 8
- Pages
- 1071-1081
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- PMC
- PMC9768922
- OpenAlex
- W4288430371
- Cited by
- 78
- References
- 57
- Citations by year
- 2026: 20 · 2025: 17 · 2024: 22 · 2023: 15 · 2022: 4
- FWCI
- 6.41
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute on Drug Abuse
- Brain and Behavior Research Foundation
- Whitehall Foundation
- Edward Mallinckrodt, Jr. Foundation
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- dopamine signaling, nucleus accumbens core, latent inhibition, associative learning, habituation, stimulus familiarity, novel stimuli, optogenetic manipulation, cue-outcome associations, mice
- MeSH terms
- Animals, Conditioning, Classical, Cues, Dopamine, Memory, Nucleus Accumbens, Mice
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