| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Rachel S Lee, Yotam Sagiv, Ben Engelhard, Ilana B Witten, Nathaniel D Da. A feature-specific prediction error model explains dopaminergic heterogeneity. Nature neuroscience. 2024-07-03. PMID:38961229. |
the hypothesis that midbrain dopamine (da) neurons broadcast a reward prediction error (rpe) is among the great successes of computational neuroscience. |
2024-07-03 |
2024-07-10 |
Not clear |
| Wolfram Schult. A dopamine mechanism for reward maximization. Proceedings of the National Academy of Sciences of the United States of America. vol 121. issue 20. 2024-05-08. PMID:38717856. |
midbrain dopamine neurons code reward prediction errors (rpe) of subjective reward value suitable for rl. |
2024-05-08 |
2024-05-27 |
monkey |
| Ryunosuke Amo, Naoshige Uchida, Mitsuko Watabe-Uchid. Glutamate inputs send prediction error of reward, but not negative value of aversive stimuli, to dopamine neurons. Neuron. 2024-01-26. PMID:38278147. |
midbrain dopamine neurons are thought to signal reward prediction errors (rpes), but the mechanisms underlying rpe computation, particularly the contributions of different neurotransmitters, remain poorly understood. |
2024-01-26 |
2024-01-29 |
mouse |
| Bahareh Tolooshams, Sara Matias, Hao Wu, Simona Temereanca, Naoshige Uchida, Venkatesh N Murthy, Paul Masset, Demba B. Interpretable deep learning for deconvolutional analysis of neural signals. bioRxiv : the preprint server for biology. 2024-01-23. PMID:38260512. |
to exemplify use cases of our decomposition method, we uncover multiplexed salience and reward prediction error signals from midbrain dopamine neurons in an unbiased manner, perform simultaneous event detection and characterization in somatosensory thalamus recordings, and characterize the responses of neurons in piriform cortex. |
2024-01-23 |
2024-01-25 |
Not clear |
| L Paul Sands, Angela Jiang, Brittany Liebenow, Emily DiMarco, Adrian W Laxton, Stephen B Tatter, P Read Montague, Kenneth T Kishid. Subsecond fluctuations in extracellular dopamine encode reward and punishment prediction errors in humans. Science advances. vol 9. issue 48. 2023-12-01. PMID:38039368. |
in the mammalian brain, midbrain dopamine neuron activity is hypothesized to encode reward prediction errors that promote learning and guide behavior by causing rapid changes in dopamine levels in target brain regions. |
2023-12-01 |
2023-12-10 |
human |
| Ryunosuke Amo, Naoshige Uchida, Mitsuko Watabe-Uchid. Glutamate inputs send prediction error of reward but not negative value of aversive stimuli to dopamine neurons. bioRxiv : the preprint server for biology. 2023-11-21. PMID:37986868. |
midbrain dopamine neurons are thought to signal reward prediction errors (rpes) but the mechanisms underlying rpe computation, particularly contributions of different neurotransmitters, remain poorly understood. |
2023-11-21 |
2023-11-29 |
Not clear |
| Pol Bech, Sylvain Crochet, Robin Dard, Parviz Ghaderi, Yanqi Liu, Meriam Malekzadeh, Carl C H Petersen, Mauro Pulin, Anthony Renard, Christos Sourmpi. Striatal Dopamine Signals and Reward Learning. Function (Oxford, England). vol 4. issue 6. 2023-10-16. PMID:37841525. |
here, we review evidence suggesting that midbrain dopaminergic neurons signal reward prediction error, driving synaptic plasticity in the striatum underlying learning. |
2023-10-16 |
2023-11-08 |
Not clear |
| Emil Wärnberg, Arvind Kuma. Feasibility of dopamine as a vector-valued feedback signal in the basal ganglia. Proceedings of the National Academy of Sciences of the United States of America. vol 120. issue 32. 2023-08-01. PMID:37527344. |
it is well established that midbrain dopaminergic neurons support reinforcement learning (rl) in the basal ganglia by transmitting a reward prediction error (rpe) to the striatum. |
2023-08-01 |
2023-08-14 |
Not clear |
| Cameron D Hassall, Yan Yan, Laurence T Hun. The neural correlates of continuous feedback processing. Psychophysiology. 2023-07-24. PMID:37485986. |
such studies have led to the hypothesis that rapid phasic midbrain dopaminergic activity tracks reward prediction errors (rpes), the effects of which are measurable at the scalp via electroencephalography (eeg). |
2023-07-24 |
2023-08-14 |
human |
| Susanna Molas, Rubing Zhao-Shea, Timothy G Freels, Andrew R Tappe. Viral tracing confirms paranigral ventral tegmental area dopaminergic inputs to the interpeduncular nucleus where dopamine release encodes motivated exploration. eNeuro. 2023-01-04. PMID:36599671. |
midbrain dopaminergic (daergic) neurons of the ventral tegmental area (vta) are engaged by rewarding stimuli and encode reward prediction error to update goal-directed learning. |
2023-01-04 |
2023-08-14 |
mouse |
| Karolina Farrell, Armin Lak, Aman B Salee. Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation. Cell reports. vol 41. issue 2. 2022-10-12. PMID:36223748. |
midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation. |
2022-10-12 |
2023-08-14 |
mouse |
| Karolina Farrell, Armin Lak, Aman B Salee. Midbrain dopamine neurons signal phasic and ramping reward prediction error during goal-directed navigation. Cell reports. vol 41. issue 2. 2022-10-12. PMID:36223748. |
our results suggest that midbrain dopamine neurons encode phasic and ramping reward prediction error signals to improve goal-directed navigation. |
2022-10-12 |
2023-08-14 |
mouse |
| Philip R Corlett, Jessica A Mollick, Hedy Kobe. Meta-analysis of human prediction error for incentives, perception, cognition, and action. Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology. 2022-01-12. PMID:35017672. |
across 264 pe studies that have focused on reward, punishment, action, cognition, and perception, consistent with domain-general theoretical models of prediction error we found midbrain pe signals during cognitive and reward learning tasks, and an insula pe signal for perceptual, social, cognitive, and reward prediction errors. |
2022-01-12 |
2023-08-13 |
human |
| Harry J Stewardson, Thomas D Sambroo. Reward prediction error in the ERP following unconditioned aversive stimuli. Scientific reports. vol 11. issue 1. 2021-12-10. PMID:34620955. |
midbrain dopamine neurons, believed to compute reward prediction errors, generate this signal in response to both conditioned and unconditioned stimuli, as predicted by temporal difference learning. |
2021-12-10 |
2023-08-13 |
human |
| Adam S Lowet, Qiao Zheng, Sara Matias, Jan Drugowitsch, Naoshige Uchid. Distributional Reinforcement Learning in the Brain. Trends in neurosciences. vol 43. issue 12. 2021-08-18. PMID:33092893. |
classical studies have demonstrated an impressive correspondence between the firing of dopamine neurons in the mammalian midbrain and the reward prediction errors of reinforcement learning algorithms, which express the difference between actual reward and predicted mean reward. |
2021-08-18 |
2023-08-13 |
Not clear |
| Luca Aquili, Eric M Bowman, Robert Schmid. Occasion setters determine responses of putative DA neurons to discriminative stimuli. Neurobiology of learning and memory. vol 173. 2021-07-27. PMID:32565408. |
midbrain dopamine (da) neurons are involved in the processing of rewards and reward-predicting stimuli, possibly analogous to reinforcement learning reward prediction errors. |
2021-07-27 |
2023-08-13 |
rat |
| Shuyuan Xu, Yuyan Sun, Min Huang, Yanhong Huang, Jing Han, Xuemei Tang, Wei Re. Emotional State and Feedback-Related Negativity Induced by Positive, Negative, and Combined Reinforcement. Frontiers in psychology. vol 12. 2021-05-28. PMID:34040560. |
reinforcement learning relies on the reward prediction error (rpe) signals conveyed by the midbrain dopamine system. |
2021-05-28 |
2023-08-13 |
human |
| HyungGoo R Kim, Athar N Malik, John G Mikhael, Pol Bech, Iku Tsutsui-Kimura, Fangmiao Sun, Yajun Zhang, Yulong Li, Mitsuko Watabe-Uchida, Samuel J Gershman, Naoshige Uchid. A Unified Framework for Dopamine Signals across Timescales. Cell. vol 183. issue 6. 2021-05-18. PMID:33248024. |
rapid phasic activity of midbrain dopamine neurons is thought to signal reward prediction errors (rpes), resembling temporal difference errors used in machine learning. |
2021-05-18 |
2023-08-13 |
Not clear |
| Anna K Radke, Adrina Kocharian, Dan P Covey, David M Lovinger, Joseph F Cheer, Yolanda Mateo, Andrew Holme. Contributions of nucleus accumbens dopamine to cognitive flexibility. The European journal of neuroscience. vol 50. issue 3. 2020-06-30. PMID:30218623. |
there is a compelling evidence that midbrain dopamine (da) neurons and their projections to the ventral striatum provide a mechanism for motivating reward-seeking behavior, and for utilizing information about unexpected reward prediction errors (rpes) to guide behavior based on current, rather than historical, outcomes. |
2020-06-30 |
2023-08-13 |
mouse |
| Bilal A Bari, Cooper D Grossman, Emily E Lubin, Adithya E Rajagopalan, Jianna I Cressy, Jeremiah Y Cohe. Stable Representations of Decision Variables for Flexible Behavior. Neuron. vol 103. issue 5. 2020-03-27. PMID:31280924. |
although reward prediction errors have been mapped to midbrain dopamine neurons, it is unclear how the brain represents decision variables themselves. |
2020-03-27 |
2023-08-13 |
mouse |