Academic literature on the topic 'Brain reward, motivation'

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Journal articles on the topic "Brain reward, motivation"

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Noritake, Atsushi, Taihei Ninomiya, and Masaki Isoda. "Representation of distinct reward variables for self and other in primate lateral hypothalamus." Proceedings of the National Academy of Sciences 117, no. 10 (2020): 5516–24. http://dx.doi.org/10.1073/pnas.1917156117.

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The lateral hypothalamus (LH) has long been implicated in maintaining behavioral homeostasis essential for the survival of an individual. However, recent evidence suggests its more widespread roles in behavioral coordination, extending to the social domain. The neuronal and circuit mechanisms behind the LH processing of social information are unknown. Here, we show that the LH represents distinct reward variables for “self” and “other” and is causally involved in shaping socially motivated behavior. During a Pavlovian conditioning procedure incorporating ubiquitous social experiences where rew
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Buck, Ross. "Conceptualizing motivation and emotion." Behavioral and Brain Sciences 23, no. 2 (2000): 195–96. http://dx.doi.org/10.1017/s0140525x00262420.

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Motivation and emotion are not clearly defined and differentiated in Rolls's The brain and emotion, reflecting a widespread problem in conceptualizing these phenomena. An adequate theory of emotion cannot be based upon reward and punishment alone. Basic mechanisms of arousal, agonistic, and prosocial motives-emotions exist in addition to reward-punishment systems.
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Rolls, Edmund T. "Précis of The brain and emotion." Behavioral and Brain Sciences 23, no. 2 (2000): 177–91. http://dx.doi.org/10.1017/s0140525x00002429.

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The topics treated in The brain and emotion include the definition, nature, and functions of emotion (Ch. 3); the neural bases of emotion (Ch. 4); reward, punishment, and emotion in brain design (Ch. 10); a theory of consciousness and its application to understanding emotion and pleasure (Ch. 9); and neural networks and emotion-related learning (Appendix). The approach is that emotions can be considered as states elicited by reinforcers (rewards and punishers). This approach helps with understanding the functions of emotion, with classifying different emotions, and in understanding what inform
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Mobbs, Dean, Demis Hassabis, Ben Seymour, et al. "Choking on the Money." Psychological Science 20, no. 8 (2009): 955–62. http://dx.doi.org/10.1111/j.1467-9280.2009.02399.x.

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A pernicious paradox in human motivation is the occasional reduced performance associated with tasks and situations that involve larger-than-average rewards. Three broad explanations that might account for such performance decrements are attentional competition (distraction theories), inhibition by conscious processes (explicit-monitoring theories), and excessive drive and arousal (overmotivation theories). Here, we report incentive-dependent performance decrements in humans in a reward-pursuit task; subjects were less successful in capturing a more valuable reward in a computerized maze. Conc
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Pessiglione, M. "Why don’t you make an effort? Computational dissection of motivation disorders." European Psychiatry 29, S3 (2014): 541. http://dx.doi.org/10.1016/j.eurpsy.2014.09.319.

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Apathy can be defined as a reduction of goal-directed behavior. It is frequently observed in psychiatric and neurological diseases, and presently assessed using clinical questionnaires. To understand the neural dysfunction underlying apathy, it is necessary to decompose this syndrome into elementary computational processes. A key distinction is that of costs and benefits: apathy can result either from hyposensitivity to potential rewards or from hypersensitivity to potential efforts. In this talk, I will present a behavioral paradigm that implements the conflict between effort and reward in hu
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Berridge, Kent C., Jun Zhang, and J. Wayne Aldridge. "Computing motivation: Incentive salience boosts of drug or appetite states." Behavioral and Brain Sciences 31, no. 4 (2008): 440–41. http://dx.doi.org/10.1017/s0140525x08004767.

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AbstractCurrent computational models predict reward based solely on learning. Real motivation involves that but also more. Brain reward systems can dynamically generate incentive salience, by integrating prior learned values with even novel physiological states (e.g., natural appetites; drug-induced mesolimbic sensitization) to cause intense desires that were themselves never learned. We hope future computational models may capture this too.
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Rigoli, Francesco, Benjamin Chew, Peter Dayan, and Raymond J. Dolan. "The Dopaminergic Midbrain Mediates an Effect of Average Reward on Pavlovian Vigor." Journal of Cognitive Neuroscience 28, no. 9 (2016): 1303–17. http://dx.doi.org/10.1162/jocn_a_00972.

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Dopamine plays a key role in motivation. Phasic dopamine response reflects a reinforcement prediction error (RPE), whereas tonic dopamine activity is postulated to represent an average reward that mediates motivational vigor. However, it has been hard to find evidence concerning the neural encoding of average reward that is uncorrupted by influences of RPEs. We circumvented this difficulty in a novel visual search task where we measured participants' button pressing vigor in a context where information (underlying an RPE) about future average reward was provided well before the average reward
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Verharen, Jeroen P. H., Roger A. H. Adan, and Louk J. M. J. Vanderschuren. "How Reward and Aversion Shape Motivation and Decision Making: A Computational Account." Neuroscientist 26, no. 1 (2019): 87–99. http://dx.doi.org/10.1177/1073858419834517.

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Processing rewarding and aversive signals lies at the core of many adaptive behaviors, including value-based decision making. The brain circuits processing these signals are widespread and include the prefrontal cortex, amygdala and striatum, and their dopaminergic innervation. In this review, we integrate historic findings on the behavioral and neural mechanisms of value-based decision making with recent, groundbreaking work in this area. On the basis of this integrated view, we discuss a neuroeconomic framework of value-based decision making, use this to explain the motivation to pursue rewa
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Roesch, Matthew R., and Carl R. Olson. "Impact of Expected Reward on Neuronal Activity in Prefrontal Cortex, Frontal and Supplementary Eye Fields and Premotor Cortex." Journal of Neurophysiology 90, no. 3 (2003): 1766–89. http://dx.doi.org/10.1152/jn.00019.2003.

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In several regions of the macaque brain, neurons fire during delayed response tasks at a rate determined by the value of the reward expected at the end of the trial. The activity of these neurons might be related either to the internal representation of the appetitive value of the expected reward or to motivation-dependent variations in the monkey's level of motor preparation or motor output. According to the first interpretation, reward-related activity should be most prominent in areas affiliated with the limbic system. According to the second interpretation, it should be most prominent in a
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COOPER, D., W. KLIPEC, M. FOWLER, and E. OZKAN. "A role for the subiculum in the brain motivation/reward circuitry." Behavioural Brain Research 174, no. 2 (2006): 225–31. http://dx.doi.org/10.1016/j.bbr.2006.05.036.

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Dissertations / Theses on the topic "Brain reward, motivation"

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Varazzani, Chiara. "Motivation and behavioural energization : exploring the motivational brain in the reward/effort tradeoff." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCB116.

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Choisir entre l'action ou l'inaction est peut-être le type de décision le plus critique auquel un animal peut faire face. Une formalisation simple de ces choix consiste à évaluer les bénéfices attendus (nourriture, argent par exemple) ainsi que les coûts (punitions, pertes de temps ou d'argent) associés à chaque action et d'optimiser le rapport entre récompenses reçues et coûts assumés. Notre motivation à s'engager dans une action donnée dépend donc de la valeur de ce rapport. Dans le domaine de l'économie comportementale, l’optimisation de ce rapport bénéfices/coûts constitue le principe fond
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Gueye, Aliou. "Alimentation durant l'adolescence : facteurs de troubles comportementaux et neurobiologiques à l'âge adulte : modèle animal chez le rat." Thesis, Bordeaux 2, 2010. http://www.theses.fr/2010BOR21805/document.

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Le mode d’alimentation des adolescents consiste le plus souvent en une consommation excessive et démesurée de fortes quantités de nourritures palatables avec une teneur calorique et sucrée importante. Les données épidémiologiques et cliniques montrent que la consommation abusive de ces types d’aliments sucrés au cours de cette période où la maturation cérébrale s’effectue de façon considérable n’est pas sans conséquences. De manière préoccupante, cette consommation atypique d’aliments durant l’adolescence de plus en plus tournée vers la nourriture sucrée augmente le risque de développement des
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Books on the topic "Brain reward, motivation"

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Neurobiology of Sensation and Reward. CRC, 2009.

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Koob, George F. The Neurobiology of Reward and Stress and Its Relevance for Understanding Drug-Seeking and Dependence Symptomatology. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381678.013.013.

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Drug addiction can be conceptualized as a disorder that progresses from neurobiological mechanisms involved in positive reinforcement to mechanisms involved in negative reinforcement. Neurobiological substrates for the positive reinforcement of drug abuse involve activation of the brain’s incentive salience and reward systems, such as dopamine and opioid peptides, and neurobiological substrates for the negative reinforcement of drug addiction involve the brain stress systems, such as corticotropin-releasing factor (CRF), norepinephrine, and dynorphin in the ventral striatum and extended amygda
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Nutt, David J., and Liam J. Nestor. Neurobiological processes in addiction. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198797746.003.0004.

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The brain is involved in controlling necessary motivational and cognitive processes optimized for survival. These processes can be disrupted by substances of addiction. The key neural substrates underlying these processes are made up of a network of four independent and overlapping brain circuits. These circuits govern reward processing, motivation and/or drive, learning and memory, and cognitive control. Anomalies within these circuits may also pre-date the addiction state, and facilitate the progress from experimentation to substance addiction. The subsequent excessive and chronic use of sub
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Nutt, David J., and Liam J. Nestor. Nicotine addiction. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198797746.003.0011.

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Cigarette smoking presents with considerable health risks and induces high costs on healthcare resources. People continue to smoke cigarettes in the face of adversity because they contain nicotine, which is highly addictive. Nicotine is a stimulant that exerts its effects within the brain by acting at nicotinic acetylcholine receptors (nAChRs). nAChRs are located in areas of the brain involved in reward processing, motivation, and cognitive control, which results in disruptions to behaviour when nicotine addiction has developed. Disturbances to the brain and behaviour are particularly evident
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Reissner, Kathryn J., and Peter W. Kalivas. Cellular and Molecular Mechanisms of Addiction. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0046.

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Exposure to drugs of abuse can be a reinforcing experience that, in vulnerable individuals, can lead to continued use and the development of an addiction disorder. Evidence indicates that the escalation in use and compulsive motivation to obtain the drug is linked to long-lasting cellular changes within the brain reward neurocircuitry. In this chapter we describe the stages of transition in use from social use to habitual relapse, and within that context we describe the implicated neurocircuitry, and the enduring cellular and molecular changes that occur within that circuitry, that may mediate
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Martin, Christopher S., Tammy Chung, and James W. Langenbucher. Historical and Cultural Perspectives on Substance Use and Substance Use Disorders. Edited by Kenneth J. Sher. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199381678.013.001.

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This chapter describes how substance use, substance-related problems, and substance use disorders (SUDs) have been viewed over time and in different cultures. Substance problems and inebriety were historically understood through a moralistic perspective, although the description of substance problem syndromes as medical diseases or disorders has a long history. Systematic attempts to develop and refine diagnostic criteria for SUDs began in the middle of the twentieth century and continue to this day. Research has identified limitations of existing diagnostic criteria for SUDs, which can aid th
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Torrington, Matthew. Addiction: Definition, Epidemiology, and Neurobiology. Edited by Shahla J. Modir and George E. Muñoz. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190275334.003.0001.

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This chapter discusses the DSM-5 diagnostic criteria for substance use disorders and identifies addiction as a disease of reward, motivation, and memory rooted in complex biologic changes. It explains the epidemiology of addiction and identifies the rise and fall of specific drug use and behaviors. It then moves to the neurobiology of addiction, naming the numerous survival systems that are intertwined with addiction’s genetics, early brain development, and learning pathways. Finally, it looks at why some people become addicts, describing it as a pro-inflammatory, bio-psycho-social-environment
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Cuthbert, Bruce N. The Nimh Research Domain Criteria Project. Edited by Dennis S. Charney, Eric J. Nestler, Pamela Sklar, and Joseph D. Buxbaum. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190681425.003.0071.

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The Research Domain Criteria (RDoC) project grew from recognized deficiencies in currently used diagnostic schemes for mental illness, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM). While the latter is based on a series of signs and symptoms of illnesses that can co-occur in groups of individuals, without consideration of underlying biological factors, RDoC is based on the increasing ability to relate normal as well as abnormal behavior to particular molecules and circuits in the brain across animal species and humans. Behavioral domains include negative valence syste
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Butz, Martin V., and Esther F. Kutter. Behavioral Flexibility and Anticipatory Behavior. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.003.0006.

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While reward-oriented learning can adapt and optimize behavior, this chapter shows how behavior can become anticipatory and selectively goal-oriented. Flexibility and adaptability are necessary when living in changing environmental niches. As a consequence, different locations in the environment need to be distinguished to enable selective and optimally attuned interactions. To accomplish this, sensorimotor learning is necessary. With sufficient sensorimotor knowledge, the progressively abstract learning of environmental predictive models becomes possible. These models enable forward anticipat
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Butz, Martin V., and Esther F. Kutter. How the Mind Comes into Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780198739692.001.0001.

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For more than 2000 years Greek philosophers have thought about the puzzling introspectively assessed dichotomy between our physical bodies and our seemingly non-physical minds. How is it that we can think highly abstract thoughts, seemingly fully detached from actual, physical reality? Despite the obvious interactions between mind and body (we get tired, we are hungry, we stay up late despite being tired, etc.), until today it remains puzzling how our mind controls our body, and vice versa, how our body shapes our mind. Despite a big movement towards embodied cognitive science over the last 20
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Book chapters on the topic "Brain reward, motivation"

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Stellar, James R., and Eliot Stellar. "The Measurement of Brain Stimulation Reward." In The Neurobiology of Motivation and Reward. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4615-8032-4_5.

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Stellar, James R., and Eliot Stellar. "The Neuroanatomy of Brain-Stimulation Reward." In The Neurobiology of Motivation and Reward. Springer New York, 1985. http://dx.doi.org/10.1007/978-1-4615-8032-4_6.

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Taj, Fawad, Michel C. A. Klein, and Aart van Halteren. "Computational Model for Reward-Based Generation and Maintenance of Motivation." In Brain Informatics. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-05587-5_5.

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Kaiser, Stefan, and Florian Schlagenhauf. "Brain Reward Systems and Apathy." In Apathy. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198841807.003.0011.

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Reward is essential for motivating goal-directed behaviour. Impairment in the processing of reward is therefore a promising candidate for understanding apathy which has been defined as a loss of motivation and a quantitative reduction of goal-directed behaviour. This chapter employs the recently updated Research Domain Criteria framework for positive valence systems to provide an overview of reward system functions that have been associated with apathy, including reward anticipation, reward consumption, learning and prediction error, value representation, and integration of effort. For each construct, the concept and the measures on the behavioural and neural level are discussed. The chapter then provides examples from the schizophrenia literature on the association of apathy with these functions and gives a transdiagnostic perspective on the role of reward system dysfunction.
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Padmala, Srikanth, Nicola Sambuco, and Luiz Pessoa. "Interactions between reward motivation and emotional processing." In Progress in Brain Research. Elsevier, 2019. http://dx.doi.org/10.1016/bs.pbr.2019.03.023.

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Sisk, Cheryl L., and Russell D. Romeo. "Drugs and the Adolescent Brain." In Coming of Age. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780195314373.003.0008.

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Chapter 8 highlights some of the ways in which drugs can influence the adolescent brain and its development. Drug use typically begins during adolescence, in part because of increased risk-taking and reward sensitivity that characterizes adolescence. Adolescent drug use is concerning because the developing brain is often more vulnerable to many of the adverse consequences of drug use, and it is a predictor of drug abuse in adulthood. The chapter discusses how the commonly used drugs alcohol, nicotine, and marijuana acutely affect the brain and behavior differently during adolescence and in adulthood, as well as the longer-term effects on brain structure, cognitive function, and motivation that adolescent drug use may have. Research on the effects of anabolic androgenic steroids on aggressive behavior and of prescription drugs used to treat depression and ADHD during adolescence is also discussed.
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Wong, Agnes M. F. "East Meets West." In The Art and Science of Compassion, A Primer. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780197551387.003.0005.

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In this chapter, the author explores the relevant brain networks and their plasticity in response to mindfulness and compassion training. The chapter begins by reviewing how foundational mindfulness practices, in the form of focused attention and open monitoring, set the stage for compassion/loving-kindness training by modulating attentional resources (in the attention networks), regulating emotion processing and control (in the limbic system), and altering self-referential processing (in the default mode network). The author then reviews the unique effects of compassion/loving-kindness training on different brain areas that result in increased receptivity to others’ emotions, enhanced positive affect and reward processing, and increased motivation for prosocial connection. The author shows that “compassion fatigue” is a misnomer because the neural mechanisms underlying empathic distress and compassion are distinct, with empathic distress activating the brain network involved in pain processing and compassion activating the pleasure and reward system. The author concludes that compassion is both innate and a trainable skill, exerting its effects through neuroplasticity.
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Robert, Philippe, and Valeria Manera. "Definition of Apathy and Differential Diagnosis." In Apathy. Oxford University Press, 2021. http://dx.doi.org/10.1093/med/9780198841807.003.0001.

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Motivation, initiation, interest, goal-directed behaviour, reward, and incentive are just some of the words associated with the concept of apathy in brain disorders. This vocabulary is even richer if we encompass different neuropsychiatric diseases, such as schizophrenia and major depression. This is a paradox for this concept, which is so difficult to capture and to define at the theoretical level, and at the same time easy to understand and observe in clinical practice. This chapter aims to summarize the different apathy definitions, present the diagnostic criteria for apathy in brain disorders, and discuss differential diagnosis and overlap with other conditions, such as anhedonia, fatigue, and depression.
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Grossberg, Stephen. "Adaptively Timed Learning." In Conscious Mind, Resonant Brain. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190070557.003.0015.

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This chapter explains how humans and other animals learn to adaptively time their behaviors to match external environmental constraints. It hereby explains how nerve cells learn to bridge big time intervals of hundreds of milliseconds or even several seconds, and thereby associate events that are separated in time. This is accomplished by a spectrum of cells that each respond in overlapping time intervals and whose population response can bridge intervals much larger than any individual cell can. Such spectral timing occurs in circuits that include the lateral entorhinal cortex and hippocampal cortex. Trace conditioning, in which CS and US are separated in time, requires the hippocampus, whereas delay conditioning, in which they overlap, does not. The Weber law observed in trace conditioning naturally emerges from spectral timing dynamics, as later confirmed by data about hippocampal time cells. Hippocampal adaptive timing enables a cognitive-emotional resonance to be sustained long enough to become conscious of its feeling and its causal event, and to support BDNF-modulated memory consolidation. Spectral timing supports balanced exploratory and consummatory behaviors whereby restless exploration for immediate gratification is replaced by adaptively timed consummation. During expected disconfirmations of reward, orienting responses are inhibited until an adaptively timed response is released. Hippocampally-mediated incentive motivation supports timed responding via the cerebellum. mGluR regulates adaptive timing in hippocampus, cerebellum, and basal ganglia. Breakdowns of mGluR and dopamine modulation cause symptoms of autism and Fragile X syndrome. Inter-personal circular reactions enable social cognitive capabilities, including joint attention and imitation learning, to develop.
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Reissner, Kathryn J., and Peter W. Kalivas. "Cellular and Molecular Mechanisms of Addiction." In Neurobiology of Mental Illness, edited by Antonello Bonci and Nora D. Volkow. Oxford University Press, 2013. http://dx.doi.org/10.1093/med/9780199934959.003.0051.

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Exposure to drugs of abuse is for most individuals a reinforcing experience which can lead to continued use and the development of an addiction disorder. Evidence indicates that the escalation in use and ultimately compulsive motivation to obtain drug is linked to long lasting cellular changes within the brain reward neurocircuitry. In this chapter we will describe the transition in use from isolated social use to habitual relapse, and within that context will describe the neurocircuitry implicated in this process and the enduring cellular and molecular changes which occur within that circuitry that may mediate preoccupation with drug seeking in the addiction vulnerable individual.
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