Dopamine Prediction Errors in Reward Learning and Addiction: From Theory to Neural Circuitry DOI Creative Commons
Ronald Keiflin, Patricia H. Janak

Neuron, Journal Year: 2015, Volume and Issue: 88(2), P. 247 - 263

Published: Oct. 1, 2015

Language: Английский

Distinct extended amygdala circuits for divergent motivational states DOI

Joshua H. Jennings,

Dennis R. Sparta, Alice M. Stamatakis

et al.

Nature, Journal Year: 2013, Volume and Issue: 496(7444), P. 224 - 228

Published: March 19, 2013

Language: Английский

Citations

675

A Comprehensive Overview on Stress Neurobiology: Basic Concepts and Clinical Implications DOI Creative Commons
Lívea Dornela Godoy, Matheus Teixeira Rossignoli, Polianna Delfino-Pereira

et al.

Frontiers in Behavioral Neuroscience, Journal Year: 2018, Volume and Issue: 12

Published: July 3, 2018

Stress is recognized as an important issue in basic and clinical neuroscience research, based upon the founding historical studies by Walter Canon Hans Selye past century, when concept of stress emerged a biological adaptive perspective. A lot research after that period has expanded knowledge field. Since then, it was discovered response to stressful stimuli elaborated triggered the, now known, system, which integrates wide diversity brain structures that, collectively, are able detect events interpret them real or potential threats. However, different types stressors engage networks, requiring fine-tuned functional neuroanatomical processing. This integration information from stressor itself may result rapid activation Sympathetic-Adreno-Medullar (SAM) axis Hypothalamus-Pituitary-Adrenal (HPA) axis, two major components involved response. The complexity not restricted neuroanatomy SAM HPA axes mediators, but also diverge according timing duration exposure, well its short- and/or long-term consequences. identification neuronal circuits stress, their interaction with mediator molecules over time critical, only for understanding physiological responses, understand implications on mental health.

Language: Английский

Citations

641

Updating dopamine reward signals DOI Creative Commons
Wolfram Schultz

Current Opinion in Neurobiology, Journal Year: 2012, Volume and Issue: 23(2), P. 229 - 238

Published: Dec. 22, 2012

Recent work has advanced our knowledge of phasic dopamine reward prediction error signals. The signal is bidirectional, reflects well the higher order described by temporal difference learning models, compatible with model-free and model-based reinforcement learning, reports subjective rather than physical value during discounting stimulus perception aspects. Dopamine activations are primarily driven reward, to some extent risk, whereas punishment salience have only limited activating effects when appropriate controls respected. homogeneous in terms time course but heterogeneous many other It essential for synaptic plasticity a range behavioural situations.

Language: Английский

Citations

636

Activation of VTA GABA Neurons Disrupts Reward Consumption DOI Creative Commons
Ruud van Zessen,

Jana L. Phillips,

Evgeny A. Budygin

et al.

Neuron, Journal Year: 2012, Volume and Issue: 73(6), P. 1184 - 1194

Published: March 1, 2012

Language: Английский

Citations

602

CRH Engagement of the Locus Coeruleus Noradrenergic System Mediates Stress-Induced Anxiety DOI Creative Commons
Jordan G. McCall, Ream Al‐Hasani,

Edward R. Siuda

et al.

Neuron, Journal Year: 2015, Volume and Issue: 87(3), P. 605 - 620

Published: July 23, 2015

Language: Английский

Citations

574

Activation of lateral habenula inputs to the ventral midbrain promotes behavioral avoidance DOI
Alice M. Stamatakis, Garret D. Stuber

Nature Neuroscience, Journal Year: 2012, Volume and Issue: 15(8), P. 1105 - 1107

Published: June 24, 2012

Language: Английский

Citations

530

Lateral hypothalamic circuits for feeding and reward DOI
Garret D. Stuber, Roy A. Wise

Nature Neuroscience, Journal Year: 2016, Volume and Issue: 19(2), P. 198 - 205

Published: Jan. 27, 2016

Language: Английский

Citations

474

A Neural Circuit Mechanism for Encoding Aversive Stimuli in the Mesolimbic Dopamine System DOI Creative Commons
Johannes W. de Jong,

Seyedeh Atiyeh Afjei,

Iskra Pollak Dorocic

et al.

Neuron, Journal Year: 2018, Volume and Issue: 101(1), P. 133 - 151.e7

Published: Nov. 29, 2018

Language: Английский

Citations

473

Wireless Optofluidic Systems for Programmable In Vivo Pharmacology and Optogenetics DOI Creative Commons
Jae‐Woong Jeong, Jordan G. McCall, Gunchul Shin

et al.

Cell, Journal Year: 2015, Volume and Issue: 162(3), P. 662 - 674

Published: July 1, 2015

Language: Английский

Citations

466

Neural Circuitry of Reward Prediction Error DOI
Mitsuko Watabe‐Uchida, Neir Eshel, Naoshige Uchida

et al.

Annual Review of Neuroscience, Journal Year: 2017, Volume and Issue: 40(1), P. 373 - 394

Published: April 25, 2017

Dopamine neurons facilitate learning by calculating reward prediction error, or the difference between expected and actual reward. Despite two decades of research, it remains unclear how dopamine make this calculation. Here we review studies that tackle problem from a diverse set approaches, anatomy to electrophysiology computational modeling behavior. Several patterns emerge synthesis: themselves calculate rather than inherit passively upstream regions; they combine multiple separate redundant inputs, which are interconnected in dense recurrent network; despite complexity output is remarkably homogeneous robust. The more study simple arithmetic computation, knottier appears be, suggesting daunting (but stimulating) path ahead for neuroscience generally.

Language: Английский

Citations

408