Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(12), С. 763 - 778
Опубликована: Ноя. 11, 2019
Язык: Английский
Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(12), С. 763 - 778
Опубликована: Ноя. 11, 2019
Язык: Английский
Nature, Год журнала: 2019, Номер 570(7762), С. 509 - 513
Опубликована: Май 29, 2019
Язык: Английский
Процитировано
494Science, Год журнала: 2021, Номер 372(6537)
Опубликована: Апрель 1, 2021
How to model hallucinations in mice There has not been enough progress our understanding of the basic mechanisms underlying psychosis. Studying psychotic disorders animal models is difficult because diagnosis relies on self-reported symptoms that can only be assessed humans. Schmack et al. developed a paradigm probe and rigorously measure experimentally controlled rodents (see Perspective by Matamales). Using dopamine-sensor measurements circuit pharmacological manipulations, they demonstrated brain link between excessive dopamine hallucination-like experience. This could potentially useful as translational common described various psychiatric disorders. It may also help development new therapeutic approaches based anatomically selective modulation function. Science , this issue p. eabf4740 ; see 33
Язык: Английский
Процитировано
210Nature reviews. Neuroscience, Год журнала: 2019, Номер 20(11), С. 703 - 714
Опубликована: Сен. 30, 2019
Язык: Английский
Процитировано
205Proceedings of the National Academy of Sciences, Год журнала: 2018, Номер 115(23), С. 6082 - 6087
Опубликована: Май 21, 2018
Significance Recent computational models propose that our sense of confidence in a choice reflects an estimate the probability is correct. However, it has proven difficult to experimentally separate decision from its component parts, such as certainty about perceptual evidence or requirements. We have devised task dissociate these quantities and isolate distinct encoding medial prefrontal cortex human brain. show activity this area not only tracks expected performance on task, but also related both within-subject between-subject variation subjective confidence. Our study illuminates why dysfunctional often emerges following damage cortex.
Язык: Английский
Процитировано
201Neuron, Год журнала: 2017, Номер 95(6), С. 1395 - 1405.e3
Опубликована: Сен. 1, 2017
Язык: Английский
Процитировано
199Science, Год журнала: 2022, Номер 378(6626)
Опубликована: Дек. 8, 2022
Learning to predict rewards based on environmental cues is essential for survival. It believed that animals learn by updating predictions whenever the outcome deviates from expectations, and such reward prediction errors (RPEs) are signaled mesolimbic dopamine system-a key controller of learning. However, instead learning prospective RPEs, can infer retrospective cause rewards. Hence, whether conveys a causal associative signal sometimes resembles RPE remains unknown. We developed an algorithm found release associations but not RPE, thereby challenging dominant theory Our results reshape conceptual biological framework
Язык: Английский
Процитировано
172Trends in Cognitive Sciences, Год журнала: 2020, Номер 25(2), С. 137 - 150
Опубликована: Дек. 24, 2020
Язык: Английский
Процитировано
171Neuron, Год журнала: 2019, Номер 105(4), С. 700 - 711.e6
Опубликована: Дек. 16, 2019
Deciding between stimuli requires combining their learned value with one's sensory confidence. We trained mice in a visual task that probes this combination. Mouse choices reflected not only present confidence and past rewards but also Their behavior conformed to model combines signal detection reinforcement learning. In the model, predicted of chosen option is product value. found precise correlates variable pre-outcome activity midbrain dopamine neurons medial prefrontal cortical neurons. However, latter played causal role: inactivating cortex before outcome strengthened learning from outcome. Dopamine role after outcome, when they encoded reward prediction errors graded by confidence, influencing subsequent choices. These results reveal neural signals combine guide
Язык: Английский
Процитировано
149Nature reviews. Neuroscience, Год журнала: 2021, Номер 22(8), С. 472 - 487
Опубликована: Июль 6, 2021
Язык: Английский
Процитировано
112Annual Review of Psychology, Год журнала: 2023, Номер 75(1), С. 241 - 268
Опубликована: Сен. 19, 2023
Determining the psychological, computational, and neural bases of confidence uncertainty holds promise for understanding foundational aspects human metacognition. While a neuroscience has focused on mechanisms underpinning subpersonal phenomena such as representations in visual or motor system, metacognition research been concerned with personal-level beliefs knowledge about self-performance. I provide road map bridging this divide by focusing particular class computation: propositional one's own (hypothetical) decisions actions. Propositional is informed observer's models world their cognitive which may be more less accurate—thus explaining why metacognitive judgments are inferential sometimes diverge from task performance. Disparate findings basis performance monitoring integrated into common framework, new locus action interventions developed.
Язык: Английский
Процитировано
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