Heterogeneity in striatal dopamine circuits: Form and function in dynamic reward seeking DOI

Anne L. Collins,

Benjamin T. Saunders

Journal of Neuroscience Research, Journal Year: 2020, Volume and Issue: 98(6), P. 1046 - 1069

Published: Feb. 13, 2020

Abstract The striatal dopamine system has long been studied in the context of reward learning, motivation, and movement. Given prominent role plays a variety adaptive behavioral states, as well diseases like addiction, it is essential to understand full complexity neurons systems they target. A growing number studies are uncovering details heterogeneity neuron subpopulations. Here, we review that work synthesize current understanding across three levels, anatomical organization, functions behavior, modes action, wherein focus on signaling profiles local mechanisms for modulation release. Together, these reveal new emerging dimensions system, informing its contribution dynamic motivational decision‐making processes.

Language: Английский

Ventral tegmental area: cellular heterogeneity, connectivity and behaviour DOI
Marisela Morales, Elyssa B. Margolis

Nature reviews. Neuroscience, Journal Year: 2017, Volume and Issue: 18(2), P. 73 - 85

Published: Jan. 5, 2017

Language: Английский

Citations

1004

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

466

Genetic Dissection of Neural Circuits: A Decade of Progress DOI Creative Commons
Liqun Luo, Edward M. Callaway, Karel Svoboda

et al.

Neuron, Journal Year: 2018, Volume and Issue: 98(2), P. 256 - 281

Published: April 1, 2018

Tremendous progress has been made since Neuron published our Primer on genetic dissection of neural circuits 10 years ago. Since then, cell-type-specific anatomical, neurophysiological, and perturbation studies have carried out in a multitude invertebrate vertebrate organisms, linking neurons to behavioral functions. New methods allow systematic classification cell types provide access diverse neuronal for connectivity coding during behavior. Here we evaluate key advances over the past decade discuss future directions.

Language: Английский

Citations

449

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

406

Behavioral and neurobiological mechanisms of pavlovian and instrumental extinction learning DOI
Mark E. Bouton, Stephen Maren, Gavan P. McNally

et al.

Physiological Reviews, Journal Year: 2020, Volume and Issue: 101(2), P. 611 - 681

Published: Sept. 24, 2020

This article reviews the behavioral neuroscience of extinction, phenomenon in which a behavior that has been acquired through Pavlovian or instrumental (operant) learning decreases strength when outcome reinforced it is removed. Behavioral research indicates neither nor operant extinction depends substantially on erasure original but instead new inhibitory primarily expressed context learned, as exemplified by renewal effect. Although nature inhibition may differ and either case decline responding depend both generalization decrement correction prediction error. At neural level, requires tripartite circuit involving amygdala, prefrontal cortex, hippocampus. Synaptic plasticity amygdala essential for learning, cortical neurons encoding fear memories involved retrieval. Hippocampal-prefrontal circuits mediate relapse phenomena, including renewal. Instrumental involves distinct ensembles corticostriatal, striatopallidal, striatohypothalamic well their thalamic returns (extinction) excitatory (renewal other phenomena) control over responding. The field made significant progress recent decades, although fully integrated biobehavioral understanding still awaits.

Language: Английский

Citations

293

Striatal and Tegmental Neurons Code Critical Signals for Temporal-Difference Learning of State Value in Domestic Chicks DOI Creative Commons
Chentao Wen, Yukiko Ogura, Toshiya Matsushima

et al.

Frontiers in Neuroscience, Journal Year: 2016, Volume and Issue: 10

Published: Nov. 7, 2016

To ensure survival, animals must update the internal representations of their environment in a trial-and-error fashion. Psychological studies associative learning and neurophysiological analyses dopaminergic neurons have suggested that this updating process involves temporal-difference (TD) method basal ganglia network. However, way which component variables TD are implemented at neuronal level is unclear. investigate underlying neural mechanisms, we trained domestic chicks to associate color cues with food rewards. We recorded activities from medial striatum or tegmentum freely behaving condition examined how reward omission changed firing. compare signals assumed method, simulated behavioral task form finite sequence composed discrete steps time. The three were prediction signal, target signal for updating, TD-error signal. In both tegmentum, majority categorized into types according fitness models, though these tended continuum spectrum without distinct differences firing rate. Specifically, two striatal successfully mimicked A linear summation was good fit activity one type tegmental mimicking present study thus demonstrates can convey critically required method. Based on theoretical studies, together tract-tracing data, propose novel model explain convergence represented could lead computation error neurons.

Language: Английский

Citations

261

Rethinking the Pedunculopontine Nucleus: From Cellular Organization to Function DOI Creative Commons
Juan Mena‐Segovia, J. Paul Bolam

Neuron, Journal Year: 2017, Volume and Issue: 94(1), P. 7 - 18

Published: April 1, 2017

Language: Английский

Citations

234

Neural Circuit Motifs in Valence Processing DOI Creative Commons
Kay M. Tye

Neuron, Journal Year: 2018, Volume and Issue: 100(2), P. 436 - 452

Published: Oct. 1, 2018

Language: Английский

Citations

222

Redefining Noradrenergic Neuromodulation of Behavior: Impacts of a Modular Locus Coeruleus Architecture DOI Creative Commons

Dan J. Chandler,

Patricia Jensen, Jordan G. McCall

et al.

Journal of Neuroscience, Journal Year: 2019, Volume and Issue: 39(42), P. 8239 - 8249

Published: Oct. 16, 2019

The locus coeruleus (LC) is a seemingly singular and compact neuromodulatory nucleus that prominent component of disparate theories brain function due to its broad noradrenergic projections throughout the CNS. As diffuse system, noradrenaline affects learning decision making, control sleep wakefulness, sensory salience including pain, physiology correlated forebrain activity (ensembles networks) hemodynamic responses. However, our understanding LC undergoing dramatic shift application state-of-the-art methods reveal many modules provide targeted neuromodulation. Here, we review evidence supporting modular based on multiple levels observation (developmental, genetic, molecular, anatomical, neurophysiological). We suggest concept as and, alongside it, role in diverse must be reconsidered.

Language: Английский

Citations

192

Nontoxic, double-deletion-mutant rabies viral vectors for retrograde targeting of projection neurons DOI
Soumya Chatterjee, Heather A. Sullivan, Bryan J MacLennan

et al.

Nature Neuroscience, Journal Year: 2018, Volume and Issue: 21(4), P. 638 - 646

Published: March 2, 2018

Language: Английский

Citations

183