A cortical circuit mechanism for structural knowledge-based flexible sensorimotor decision-making DOI Creative Commons
Yanhe Liu, Yu Xin, Ning-long Xu

et al.

Neuron, Journal Year: 2021, Volume and Issue: 109(12), P. 2009 - 2024.e6

Published: May 5, 2021

Language: Английский

A Unified Framework for Dopamine Signals across Timescales DOI Creative Commons
HyungGoo R. Kim, Athar N. Malik, John G. Mikhael

et al.

Cell, Journal Year: 2020, Volume and Issue: 183(6), P. 1600 - 1616.e25

Published: Nov. 27, 2020

Language: Английский

Citations

277

Spatial and temporal scales of dopamine transmission DOI
Changliang Liu, Pragya Goel, Pascal S. Kaeser

et al.

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(6), P. 345 - 358

Published: April 9, 2021

Language: Английский

Citations

225

The prefrontal cortex, pathological anxiety, and anxiety disorders DOI Open Access
Margaux M. Kenwood, Ned H. Kalin, Helen Barbas

et al.

Neuropsychopharmacology, Journal Year: 2021, Volume and Issue: 47(1), P. 260 - 275

Published: Aug. 16, 2021

Language: Английский

Citations

192

Spine dynamics in the brain, mental disorders and artificial neural networks DOI
Haruo Kasai, Noam Ziv, Hitoshi Okazaki

et al.

Nature reviews. Neuroscience, Journal Year: 2021, Volume and Issue: 22(7), P. 407 - 422

Published: May 28, 2021

Language: Английский

Citations

147

Forgetting as a form of adaptive engram cell plasticity DOI
Tomás J. Ryan, Paul W. Frankland

Nature reviews. Neuroscience, Journal Year: 2022, Volume and Issue: 23(3), P. 173 - 186

Published: Jan. 13, 2022

Language: Английский

Citations

120

The interpretation of computational model parameters depends on the context DOI Creative Commons
Maria K. Eckstein, Sarah L. Master, Liyu Xia

et al.

eLife, Journal Year: 2022, Volume and Issue: 11

Published: Nov. 4, 2022

Reinforcement Learning (RL) models have revolutionized the cognitive and brain sciences, promising to explain behavior from simple conditioning complex problem solving, shed light on developmental individual differences, anchor processes in specific mechanisms. However, RL literature increasingly reveals contradictory results, which might cast doubt these claims. We hypothesized that many contradictions arise two commonly-held assumptions about computational model parameters are actually often invalid: That generalize between contexts (e.g. tasks, models) they capture interpretable (i.e. unique, distinctive) neurocognitive processes. To test this, we asked 291 participants aged 8–30 years complete three learning tasks one experimental session, fitted each. found some (exploration / decision noise) showed significant generalization: followed similar trajectories, were reciprocally predictive tasks. Still, generalization was significantly below methodological ceiling. Furthermore, other (learning rates, forgetting) did not show evidence of generalization, sometimes even opposite trajectories. Interpretability low for all parameters. conclude systematic study context factors reward stochasticity; task volatility) will be necessary enhance generalizability interpretability models.

Language: Английский

Citations

73

State and rate-of-change encoding in parallel mesoaccumbal dopamine pathways DOI
Johannes W. de Jong, Yilan Liang, Jeroen P. H. Verharen

et al.

Nature Neuroscience, Journal Year: 2024, Volume and Issue: 27(2), P. 309 - 318

Published: Jan. 11, 2024

Language: Английский

Citations

28

Thalamic opioids from POMC satiety neurons switch on sugar appetite DOI
Marielle Minère, Hannah Wilhelms, Bojana Kuzmanovic

et al.

Science, Journal Year: 2025, Volume and Issue: 387(6735), P. 750 - 758

Published: Jan. 2, 2025

High sugar–containing foods are readily consumed, even after meals and beyond fullness sensation (e.g., as desserts). Although reward-driven processing of palatable can promote overeating, the neurobiological mechanisms that underlie selective appetite for sugar in states satiety remain unclear. Hypothalamic pro-opiomelanocortin (POMC) neurons principal regulators because they decrease food intake through excitatory melanocortin neuropeptides. We discovered POMC not only fed conditions but concomitantly switch on appetite, which drives overconsumption. neuron projections to paraventricular thalamus selectively inhibited postsynaptic mu-opioid receptor signaling. This opioid circuit was strongly activated during consumption, most notable states. Correspondingly, inhibiting its activity diminished high-sugar diet sated mice.

Language: Английский

Citations

3

Sub-second Dopamine and Serotonin Signaling in Human Striatum during Perceptual Decision-Making DOI Creative Commons
Dan Bang, Kenneth T. Kishida, Terry Lohrenz

et al.

Neuron, Journal Year: 2020, Volume and Issue: 108(5), P. 999 - 1010.e6

Published: Oct. 12, 2020

Recent animal research indicates that dopamine and serotonin, neuromodulators traditionally linked to appetitive aversive processes, are also involved in sensory inference decisions based on such inference. We tested this hypothesis humans by monitoring sub-second striatal serotonin signaling during a visual motion discrimination task separates uncertainty from decision difficulty factorial design. Caudate nucleus recordings (n = 4) revealed multi-scale encoding: three participants, tracked uncertainty, and, one participant, both deviations expected trial transitions within our Putamen 1) supported cognition-action separation between caudate putamen—a sub-division unique primates—with tracking times. These first-of-their-kind observations the human brain reveal role for non-reward-based aspects of cognition action.

Language: Английский

Citations

107

What do reinforcement learning models measure? Interpreting model parameters in cognition and neuroscience DOI Creative Commons
Maria K. Eckstein, Linda Wilbrecht, Anne Collins

et al.

Current Opinion in Behavioral Sciences, Journal Year: 2021, Volume and Issue: 41, P. 128 - 137

Published: July 3, 2021

Language: Английский

Citations

86