A cellular mechanism of reward-related learning

The rat brain in stereotaxic coordinates

Palkovits, M. (1983) · Neuropeptides · doi:10.1016/0143-4179(83)90049-5 · Cited by 28,959

The Rat Brain in Stereotaxic Coordinates

Paxinos, G., & Watson, C. (1983) · Elsevier eBooks · doi:10.1016/c2009-0-63235-9 · Cited by 28,585

Parallel organization of functionally segregated circuits linking basal ganglia and cortex

Alexander, G. E., DeLong, M. R., & Strick, P. L. (1986) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.09.030186.002041 · Cited by 8,527

Positive reinforcement produced by electrical stimulation of septal area and other regions of rat brain.

Olds, J., & Milner, P. (1954) · Journal of Comparative and Physiological Psychology · doi:10.1037/h0058775 · Cited by 3,176

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

The projections of the ventral tegmental area and adjacent regions: a combined fluorescent retrograde tracer and immunofluorescence study in the rat

Swanson, L. W. (1982) · Brain Research Bulletin · doi:10.1016/0361-9230(82)90145-9 · Cited by 1,718

Multiple reward signals in the brain

Schultz, W. (2000) · Nature Reviews Neuroscience · doi:10.1038/35044563 · Cited by 1,303

The neural network of the basal ganglia as revealed by the study of synaptic connections of identified neurones

Smith, A. D., & Bolam, J. P. (1990) · Trends in Neurosciences · doi:10.1016/0166-2236(90)90106-k · Cited by 1,040

Preferential activation of midbrain dopamine neurons by appetitive rather than aversive stimuli

Mirenowicz, J., & Schultz, W. (1996) · Nature · doi:10.1038/379449a0 · Cited by 829

The origins of two-state spontaneous membrane potential fluctuations of neostriatal spiny neurons

Wilson, C. J., & Kawaguchi, Y. (1996) · Journal of Neuroscience · doi:10.1523/jneurosci.16-07-02397.1996 · Cited by 798

Serotonin receptors contribute to dopamine depression of lateral inhibition in the nucleus accumbens

Burke, D. A., & Alvarez, V. A. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110795 · Cited by 32

A Primer on Reinforcement Learning in the Brain

Ludvig, E. A., Bellemare, M. G., & Pearson, K. G. (2011) · IGI Global eBooks · doi:10.4018/978-1-60960-021-1.ch006 · Cited by 33

A multidimensional distributional map of future reward in dopamine neurons

Sousa, M., Bujalski, P., Cruz, B. F., Louie, K., McNamee, D., & Paton, J. J. (2025) · Nature · doi:10.1038/s41586-025-09089-6 · Cited by 35

Reinforcement learning: bringing together computation and cognition

Collins, A. G. E. (2019) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2019.04.011 · Cited by 36

Toward Building Hybrid Biological/in silico Neural Networks for Motor Neuroprosthetic Control

Kocatürk, M., Gülçür, H. Ö., & Canbeyli, R. S. (2015) · Frontiers in Neurorobotics · doi:10.3389/fnbot.2015.00008 · Cited by 30

The role of prediction and outcomes in adaptive cognitive control

Schiffer, A., Waszak, F., & Yeung, N. (2015) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2015.02.001 · Cited by 32

Dissociable effects of dopamine on learning and performance within sensorimotor striatum

Leventhal, D., Stoetzner, C. R., Abraham, R., Pettibone, J. R., DeMarco, K., & Berke, J. D. (2013) · Basal Ganglia · doi:10.1016/j.baga.2013.11.001 · Cited by 32

Episodic S–R bindings and emotion: about the influence of positive and negative action effects on stimulus–response associations

Waszak, F., & Pholulamdeth, V. (2009) · Experimental Brain Research · doi:10.1007/s00221-009-1745-1 · Cited by 30

An Embodied Model of Learning, Plasticity, and Reward

Alexander, W. H., & Sporns, O. (2002) · Adaptive Behavior · doi:10.1177/1059712302010003001 · Cited by 30

NMDA and Dopamine: Diverse Mechanisms Applied to Interacting Receptor Systems

Cepeda, C., André, V. M., Jocoy, E. L., & Levine, M. S. (2009) · Europe PMC (PubMed Central) · Cited by 30

Long-Term Monitoring of Brain Dopamine Metabolism In Vivo with Carbon Paste Electrodes

O'Neill, R. D. (2005) · Sensors · doi:10.3390/s5060317 · Cited by 30

Word and deed: A computational model of instruction following

Ramamoorthy, A., & Verguts, T. (2011) · Brain Research · doi:10.1016/j.brainres.2011.12.025 · Cited by 29

Preservation of function in Parkinson's disease: What's learning got to do with it?

Beeler, J. A. (2011) · Brain Research · doi:10.1016/j.brainres.2011.09.040 · Cited by 29

The basal ganglia in reward and decision making

Doll, B. B., & Frank, M. J. (2009) · Elsevier eBooks · doi:10.1016/b978-0-12-374620-7.00019-4 · Cited by 31

Developmental Changes in Dendritic Spine Morphology in the Striatum and Their Alteration in an A53T α-Synuclein Transgenic Mouse Model of Parkinson’s Disease

Parajuli, L. K., Wako, K., Maruo, S., Kakuta, S., Taguchi, T., Ikuno, M., Yamakado, H., Takahashi, R., & Koike, M. (2020) · eNeuro · doi:10.1523/eneuro.0072-20.2020 · Cited by 29

Scalable, flexible carbon fiber electrode thread arrays for three-dimensional probing of neurochemical activity in deep brain structures of rodents

Xia, M., Agca, B. N., Yoshida, T., Choi, J., Amjad, U., Bose, K., Keren, N., Zukerman, S., Cima, M. J., Graybiel, A. M., et al. (2023) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2023.115625 · Cited by 29

Striatal dopamine release tracks the relationship between actions and their consequences

Hart, G., Burton, T. J., Nolan, C. R., & Balleine, B. W. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.113828 · Cited by 29

Neural coding of computational factors affecting decision making

Dreher, J. (2013) · Progress in brain research · doi:10.1016/b978-0-444-62604-2.00016-2 · Cited by 29

Chronic ethanol exposure increases inhibition of optically targeted phasic dopamine release in the nucleus accumbens core and medial shell ex vivo

Melchior, J. R., & Jones, S. R. (2017) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2017.09.007 · Cited by 30

Compensatory Relearning Following Stroke: Cellular and Plasticity Mechanisms in Rodents

Balbinot, G. C., & Schuch, C. P. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.01023 · Cited by 30

Computational Neuroscience for Advancing Artificial Intelligence: Models, Methods and Applications

Alonso, E., & Mondragón, E. (2010) · Cited by 28

Dopamine Dynamics during Continuous Intracranial Self-Stimulation: Effect of Waveform on Fast-Scan Cyclic Voltammetry Data

Rodeberg, N. T., Johnson, J. A., Bucher, E. S., & Wightman, R. M. (2016) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.6b00142 · Cited by 28

Altered reward expectancy in individuals with recent methamphetamine dependence

Bischoff‐Grethe, A., Connolly, C. G., Jordan, S. J., Brown, G. G., Paulus, M. P., Tapert, S. F., Heaton, R. K., Woods, S. P., Grant, I., & the TMARC Group (2016) · Journal of Psychopharmacology · doi:10.1177/0269881116668590 · Cited by 28

Contributions of the basal ganglia to action sequence learning and performance

Garr, E. (2019) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2019.09.017 · Cited by 30

Selective encoding of reward predictions and prediction errors by globus pallidus subpopulations

Farries, M. A., Faust, T. W., Mohebi, A., & Berke, J. D. (2023) · Current Biology · doi:10.1016/j.cub.2023.08.042 · Cited by 29

NMDA receptor-dependent plasticity in the nucleus accumbens connects reward-predictive cues to approach responses

Vega-Villar, M., Horvitz, J. C., & Nicola, S. M. (2019) · Nature Communications · doi:10.1038/s41467-019-12387-z · Cited by 30

Spiking neurons, dopamine, and plasticity: Timing is everything, but concentration also matters

Thivierge, J., Rivest, F., & Monchi, O. (2007) · Synapse · doi:10.1002/syn.20378 · Cited by 28

Discrete coding of stimulus value, reward expectation, and reward prediction error in the dorsal striatum

Oyama, K., Tateyama, Y., Hernádi, I., Tobler, P. N., Iijima, T., & Tsutsui, K. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00097.2015 · Cited by 27

A Dynamic Circuit Hypothesis for the Pathogenesis of Blepharospasm

Peterson, D. A., & B, T. J. S. A. (2017) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2017.00011 · Cited by 27

Morphological elucidation of basal ganglia circuits contributing reward prediction

Fujiyama, F., TAKAHASHI, S. Y., & Karube, F. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00006 · Cited by 33

DRD1 signaling modulates TrkB turnover and BDNF sensitivity in direct pathway striatal medium spiny neurons

Andreska, T., Lüningschrör, P., Wolf, D., McFleder, R. L., Ayon-Olivas, M., Rattka, M., Drechsler, C., Perschin, V., Blum, R., Aufmkolk, S., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112575 · Cited by 27

Disrupting Effect of Drug-Induced Reward on Spatial But Not Cue-Guided Learning: Implication of the Striatal Protein Kinase A/cAMP Response Element-Binding Protein Pathway

Baudonnat, M., Guillou, J., Husson, M., Vandesquille, M., Corio, M., Decorte, L., Faugère, A., Porte, Y., Mons, N. E., & David, V. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.1787-11.2011 · Cited by 26

Decreased Striatal Dopamine Release Underlies Increased Expression of Long-Term Synaptic Potentiation at Corticostriatal Synapses 24 h after 3-Nitropropionic-Acid-Induced Chemical Hypoxia

Akopian, G. K., Crawford, C. A., Beal, M. F., Cappelletti, M., Jakowec, M. W., Petzinger, G. M., Zheng, L., Gheorghe, S. L., Reichel, C. M., Chow, R. H.-P., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.5698-07.2008 · Cited by 26

The Psychological and Physiological Mechanisms of Habit Formation

Lingawi, N. W., Dezfouli, A., & Balleine, B. W. (2016) · Wiley eBooks · doi:10.1002/9781118650813.ch16 · Cited by 26

Towards a comprehensive model of stereotypy: Integrating operant and neurobiological interpretations

Lanovaz, M. J. (2011) · Research in Developmental Disabilities · doi:10.1016/j.ridd.2010.12.026 · Cited by 29

Electrophysiological evidence for functionally distinct neuronal populations in the human substantia nigra

Ramayya, A. G., Zaghloul, K. A., Weidemann, C. T., Baltuch, G. H., & Kahana, M. J. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00655 · Cited by 26

Cdk5 Modulates Long-Term Synaptic Plasticity and Motor Learning in Dorsolateral Striatum

Hernández, A., Tan, C., Mettlach, G., Pozo, K., Plattner, F., & Bibb, J. A. (2016) · Scientific Reports · doi:10.1038/srep29812 · Cited by 27

Dopamine release in mushroom bodies of the honey bee (Apis mellifera L.) in response to aversive stimulation

Jarriault, D., Fuller, J., Hyland, B. I., & Mercer, A. R. (2018) · Scientific Reports · doi:10.1038/s41598-018-34460-1 · Cited by 27

Long‐term administration of cocaine or serotonin reuptake inhibitors results in anatomical and neurochemical changes in noradrenergic, dopaminergic, and serotonin pathways

Horne, M. K., Lee, J., Chen, F., Lanning, K. M., Tomas, D., & Lawrence, A. J. (2008) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2008.05534.x · Cited by 27

Predictable and unpredictable rewards produce similar changes in dopamine tone.

Hernández, G., Haines, E., Rajabi, H., Stewart, J., Arvanitogiannis, A., & Shizgal, P. (2007) · Behavioral Neuroscience · doi:10.1037/0735-7044.121.5.887 · Cited by 25

Local Connectivity Between Striatal Spiny Projection Neurons: A Re-Evaluation

Oorschot, D. E., Tunstall, M. J., & Wickens, J. R. (2002) · Advances in behavioral biology · doi:10.1007/978-1-4615-0715-4_42 · Cited by 25

What does the habenula tell dopamine neurons?

Kimura, M., Satoh, T., & Matsumoto, N. (2007) · Nature Neuroscience · doi:10.1038/nn0607-677 · Cited by 24

The DA antagonist tiapride impairs context-related extinction learning in a novel context without affecting renewal

Lissek, S., Glaubitz, B., Wolf, O. T., & Tegenthoff, M. (2015) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2015.00238 · Cited by 24

Interference and Shaping in Sensorimotor Adaptations with Rewards

Darshan, R., Leblois, A., & Hansel, D. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003377 · Cited by 24

Progressive plasticity of auditory cortex during appetitive operant conditioning

Takahashi, H., Funamizu, A., Mitsumori, Y., Kose, H., & Kanzaki, R. (2010) · Biosystems · doi:10.1016/j.biosystems.2010.04.003 · Cited by 25

Differential cortical activation of the striatal direct and indirect pathway cells: reconciling the anatomical and optogenetic results by using a computational method

Morita, K. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00625.2013 · Cited by 27

The intralaminar thalamus—an expressway linking visual stimuli to circuits determining agency and action selection

Fisher, S. D., & Reynolds, J. N. J. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00115 · Cited by 24

Reward learning and working memory: Effects of massed versus spaced training and post-learning delay period

Wimmer, G. E., & Poldrack, R. A. (2021) · Memory & Cognition · doi:10.3758/s13421-021-01233-7 · Cited by 26

Inhibiting effect of D1, but not D2 antagonist administered to the striatum on retention of passive avoidance in the chick

Kabai, P., Stewart, M. G., Tarcali, J., & Csillag, A. (2004) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2003.12.002 · Cited by 24

Natural General Intelligence

Summerfield, C. (2022) · doi:10.1093/oso/9780192843883.001.0001 · Cited by 24

Unraveling the mysteries of dendritic spine dynamics: Five key principles shaping memory and cognition

Kasai, H. (2023) · Proceedings of the Japan Academy Series B · doi:10.2183/pjab.99.018 · Cited by 25

Motor thalamus supports striatum-driven reinforcement

Lalive, A. L., Lien, A. D., Roseberry, T. K., Donahue, C. H., & Kreitzer, A. C. (2018) · eLife · doi:10.7554/elife.34032 · Cited by 25

Basal ganglia role in learning rewarded actions and executing previously learned choices: Healthy and diseased states

Mulcahy, G., Atwood, B. K., & Kuznetsov, A. S. (2020) · PLoS ONE · doi:10.1371/journal.pone.0228081 · Cited by 23

Dopamine encodes deep network teaching signals for individual learning trajectories

Garcia, S. L., Laffere, A., Toschi, C., Schilling, L., Moretti, J., Podlaski, J., Fritsche, M., Zatka-Haas, P., Li, Y., Bogacz, R., et al. (2025) · Cell · doi:10.1016/j.cell.2025.05.025 · Cited by 26

Striatal dopamine can enhance both fast working memory, and slow reinforcement learning, while reducing implicit effort cost sensitivity

Westbrook, A., van den Bosch, R., Hofmans, L., Papadopetraki, D., Määttä, J. I., Collins, A. G. E., Frank, M. J., & Cools, R. (2025) · Nature Communications · doi:10.1038/s41467-025-61099-0 · Cited by 22

Tonic dopamine and biases in value learning linked through a biologically inspired reinforcement learning model

Pinto, S. R., & Uchida, N. (2025) · Nature Communications · doi:10.1038/s41467-025-62280-1 · Cited by 24

Error-Gated Hebbian Rule: A Local Learning Rule for Principal and Independent Component Analysis

Isomura, T., & Toyoizumi, T. (2018) · Scientific Reports · doi:10.1038/s41598-018-20082-0 · Cited by 22

Constraints on the subsecond modulation of striatal dynamics by physiological dopamine signaling

Long, C., Lee, K., Yang, L., Dafalias, T., Wu, A. K., & Masmanidis, S. C. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01699-z · Cited by 25

Modulation of synaptic potentials and cell excitability by dendritic KIR and KAs channels in nucleus accumbens medium spiny neurons: A computational study

John, J., & Manchanda, R. (2011) · Journal of Biosciences · doi:10.1007/s12038-011-9039-8 · Cited by 22

Effect of Chronic L-Dopa or Melatonin Treatments after Dopamine Deafferentation in Rats: Dyskinesia, Motor Performance, and Cytological Analysis

Gutiérrez-Valdez, A. L., Anaya-Martı́nez, V., Ordóñez-Librado, J. L., García-Ruiz, R., Torres-Esquivel, C., Moreno-Rivera, M., Sánchez-Betancourt, J., Montiel-Flores, E., & Ávila-Costa, M. R. (2012) · ISRN Neurology · doi:10.5402/2012/360379 · Cited by 22

Glutamatergic signaling by midbrain dopaminergic neurons: recent insights from optogenetic, molecular and behavioral studies

Koós, T. Z., Tecuapetla, F., & Tepper, J. M. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.05.010 · Cited by 23

Cell Types in the Different Nuclei of the Basal Ganglia

Oorschot, D. E. (2010) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-374767-9.00003-2 · Cited by 22

Learning rules for aversive associative memory formation

Ozawa, T., & Johansen, J. P. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.02.010 · Cited by 25

Orbitofrontal-striatal potentiation underlies cocaine-induced hyperactivity

Bariselli, S., Miyazaki, N. L., Creed, M. C., & Kravitz, A. V. (2020) · Nature Communications · doi:10.1038/s41467-020-17763-8 · Cited by 22

The locus coeruleus broadcasts prediction errors across the cortex to promote sensorimotor plasticityPreprint

Jordan, R., & Keller, G. B. (2023) · eLife · doi:10.7554/elife.85111.1 · Cited by 21

Dopamine transients encode reward prediction errors independent of learning rates

Mah, A., Golden, C. E. M., & Constantinople, C. M. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114840 · Cited by 22

The Hidden Life of the Basal Ganglia

Bergman, H. (2021) · The MIT Press eBooks · doi:10.7551/mitpress/14075.001.0001 · Cited by 23

Effects of Dopamine and Glutamate on Synaptic Plasticity: A Computational Modeling Approach for Drug Abuse as Comorbidity in Mood Disorders

Qi, Z., Kikuchi, S., Tretter, F., & Voit, E. O. (2011) · Pharmacopsychiatry · doi:10.1055/s-0031-1273707 · Cited by 21

Regulation of Corticostriatal Synaptic Plasticity by G Protein-Coupled Receptors

de Maturana, R. L., & Sánchez‐Pernaute, R. (2010) · CNS & Neurological Disorders - Drug Targets · doi:10.2174/187152710793361531 · Cited by 21

Bidirectional plasticity in striatonigral synapses: A switch to balance direct and indirect basal ganglia pathwaysPreprint

Buendia, J. D. J. A., Rueda‐Orozco, P. E., Hernandez-Martinez, R., Galarraga, E., & Bargas, J. (2011) · Learning & Memory · doi:10.1101/lm.023432.111 · Cited by 21

A Neural Correlate of Predicted and Actual Reward-Value Information in Monkey Pedunculopontine Tegmental and Dorsal Raphe Nucleus during Saccade Tasks

Okada, K., Nakamura, K., & Kobayashi, Y. (2011) · Neural Plasticity · doi:10.1155/2011/579840 · Cited by 22

Reward Bases: A simple mechanism for adaptive acquisition of multiple reward types

Millidge, B., Song, Y., Lak, A., Walton, M. E., & Bogacz, R. (2024) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1012580 · Cited by 20

Neuronal basis for evaluating selected action in the primate striatum

Yamada, H., Inokawa, H., Matsumoto, N., Ueda, Y., & Kimura, M. (2011) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2011.07771.x · Cited by 21

Coding of the long-term value of multiple future rewards in the primate striatum

Yamada, H., Inokawa, H., Matsumoto, N., Ueda, Y., Enomoto, K., & Kimura, M. (2012) · Journal of Neurophysiology · doi:10.1152/jn.00289.2012 · Cited by 22

Temporal chunking as a mechanism for unsupervised learning of task-sets

Bouchacourt, F., Palminteri, S., Koechlin, É., & Ostojic, S. (2020) · eLife · doi:10.7554/elife.50469 · Cited by 22

Theory meets pigeons: The influence of reward-magnitude on discrimination-learning

Rose, J., Schmidt, R., Grabemann, M., & Güntürkün, O. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.10.038 · Cited by 21

Mathematical modeling and parameter estimation of levodopa motor response in patients with parkinson disease

Ursino, M., Magosso, E., Lopane, G., Buonaura, G. C., Cortelli, P., & Contin, M. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229729 · Cited by 18

An association between prediction errors and risk-seeking: Theory and behavioral evidence

Möller, M., Grohn, J., Manohar, S., & Bogacz, R. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009213 · Cited by 18

Memory trace in prefrontal cortex: theory for the cognitive switch

Otani, S. (2002) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1017/s1464793102006012 · Cited by 18

Throwing open the doors of perception: The role of dopamine in visual processing

Woolrych, A., Vautrelle, N., Reynolds, J. N. J., & Parr‐Brownlie, L. C. (2021) · European Journal of Neuroscience · doi:10.1111/ejn.15408 · Cited by 17

Neuronal and astrocytic CB1R signaling differentially modulates goal-directed behavior and working memory by distinct temporal mechanisms

Shang, H., Li, P., Lin, X., Cai, Q., Li, Z., Deng, L., Song, Y., Chen, J., & Zhou, J. (2023) · Neuropsychopharmacology · doi:10.1038/s41386-023-01533-3 · Cited by 17

Advances in biotechnology and informatics to link variation in the genome to phenotypes in plants and animals

Appels, R., Barrero, R. A., & Bellgard, M. (2013) · Functional & Integrative Genomics · doi:10.1007/s10142-013-0319-2 · Cited by 17

Dopamine-Glutamate Interactions in Reward-Related Incentive Learning

Beninger, R. J., & Gerdjikov, T. V. (2005) · Humana Press eBooks · doi:10.1007/978-1-59259-852-6_14 · Cited by 17

The Striatal Skeleton: Medium Spiny Projection Neurons and Their Lateral Connections

Plenz, D., & Wickens, J. R. (2016) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-12-802206-1.00006-4 · Cited by 17

Dynamical model of salience gated working memory, action selection and reinforcement based on basal ganglia and dopamine feedback

Ponzi, A. P. D. (2008) · Neural Networks · doi:10.1016/j.neunet.2007.12.040 · Cited by 17

Chapter IV Structural and functional interactions in the striatum at the receptor level

Wickens, J. R., & Arbuthnott, G. W. (2005) · Handbook of chemical neuroanatomy · doi:10.1016/s0924-8196(05)80008-9 · Cited by 19

Principles of Pleasure Prediction

Braver, T. S., & Brown, J. W. (2003) · Neuron · doi:10.1016/s0896-6273(03)00230-7 · Cited by 17

Striatal and Behavioral Responses to Reward Vary by Socioeconomic Status in Adolescents

Decker, A. L., Meisler, S. L., Hubbard, N. A., Bauer, C. C. C., Leonard, J., Grotzinger, H., Giebler, M. A., Torres, Y. C., Imhof, A., Romeo, R. R., et al. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1633-23.2023 · Cited by 17

The Sensory Neocortex and Associative Memory

Aschauer, D. F., & Rumpel, S. (2016) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_453 · Cited by 17

Computational approaches to habits in a model-free world

Pauli, W. M., Cockburn, J., Pool, E. R., Perez, O. D., & O’Doherty, J. P. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.12.001 · Cited by 18

A Dual Role Hypothesis of the Cortico-Basal-Ganglia Pathways: Opponency and Temporal Difference Through Dopamine and Adenosine

Morita, K., & Kawaguchi, Y. (2019) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00111 · Cited by 16

Haloperidol treatment reverses behavioural and anatomical changes in cocaine-dependent mice

Parish, C. L., Drago, J., Stanić, D., Borrelli, E., Finkelstein, D. I., & Horne, M. K. (2005) · Neurobiology of Disease · doi:10.1016/j.nbd.2005.01.009 · Cited by 16

A model-based prediction of the calcium responses in the striatal synaptic spines depending on the timing of cortical and dopaminergic inputs and post-synaptic spikes

Nakano, T., Yoshimoto, J., & Doya, K. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00119 · Cited by 16

Computational Properties of the Hippocampus Increase the Efficiency of Goal-Directed Foraging through Hierarchical Reinforcement Learning

Chalmers, E., Luczak, A., & Gruber, A. J. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00128 · Cited by 18

Striatal GluN2B involved in motor skill learning and stimulus-response learning

Duan, Y., Wang, Q., Zeng, Q., Wang, J., Chen, Z., Xu, M., Duan, Y., Zhao, Z. Y., Xue, Q., & Cao, X. (2018) · Neuropharmacology · doi:10.1016/j.neuropharm.2018.03.002 · Cited by 16

Differential regulation of the growth-associated proteins GAP-43 and superior cervical ganglion 10 in response to lesions of the cortex and substantia nigra in the adult rat

Hughes-Davis, E. J., Cogen, J. P., Jakowec, M. W., Cheng, H. W., Grenningloh, G., Meshul, C. K., & McNeill, T. H. (2005) · Neuroscience · doi:10.1016/j.neuroscience.2005.07.017 · Cited by 16

Psychostimulants, Madness, Memory... and RGS Proteins?

Burchett, S. A. (2005) · NeuroMolecular Medicine · doi:10.1385/nmm:7:1-2:101 · Cited by 16

Neural compensation in adulthood following very preterm birth demonstrated during a visual paired associates learning task

Brittain, P. J., Froudist‐Walsh, S., Nam, K.-W., Giampietro, V., Karolis, V. R., Murray, R. M., Bhattacharyya, S., Kalpakidou, A. K., & Nosarti, C. (2014) · NeuroImage Clinical · doi:10.1016/j.nicl.2014.08.009 · Cited by 16

Neuroscience of Drugs and Addiction

Robbins, T. W., Cardinal, R. N., Ciano, P. D., Halligan, P. W., Hellemans, K., Lee, J. L. C., & Everitt, B. J. (2007) · Elsevier eBooks · doi:10.1016/b978-012370624-9/50006-2 · Cited by 16

Microstimulation of the Human Substantia Nigra Alters Reinforcement Learning

Ramayya, A. G., Misra, A., Baltuch, G. H., & Kahana, M. J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5445-13.2014 · Cited by 33

Positive Reinforcement Mediated by Midbrain Dopamine Neurons Requires D1 and D2 Receptor Activation in the Nucleus Accumbens

Steinberg, E. E., Boivin, J. R., Saunders, B. T., Witten, I. B., Deisseroth, K. A., & Janak, P. H. (2014) · PLoS ONE · doi:10.1371/journal.pone.0094771 · Cited by 160

Sensory Reinforced Corticostriatal Plasticity

Vautrelle, N., Coizet, V., Leriche, M., Dahan, L., Schulz, J. M., Zhang, Y.-F., Zeghbib, A., Overton, P. G., Bracci, E., Redgrave, P., et al. (2023) · Current Neuropharmacology · doi:10.2174/1570159x21666230801110359 · Cited by 3

Dynamic changes in accumbens dopamine correlate with learning during intracranial self-stimulation

Owesson-White, C., Cheer, J. F., Beyene, M., Carelli, R. M., & Wightman, R. M. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803896105 · Cited by 147

Behavioral/Cognitive Microstimulation of the Human Substantia Nigra Alters Reinforcement Learning

Ramayya, A. G., Misra, A., Baltuch, G. H., & Kahana, M. J. (2016)