Relevant bibliographies by topics / Reward circuit

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Reward circuit'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Reward circuit"

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Radoman, Milena, Lynne Lieberman, Jagan Jimmy, and Stephanie M. Gorka. "Shared and unique neural circuitry underlying temporally unpredictable threat and reward processing." Social Cognitive and Affective Neuroscience 16, no. 4 (2021): 370–82. http://dx.doi.org/10.1093/scan/nsab006.

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Abstract Temporally unpredictable stimuli influence behavior across species, as previously demonstrated for sequences of simple threats and rewards with fixed or variable onset. Neuroimaging studies have identified a specific frontolimbic circuit that may become engaged during the anticipation of temporally unpredictable threat (U-threat). However, the neural mechanisms underlying processing of temporally unpredictable reward (U-reward) are incompletely understood. It is also unclear whether these processes are mediated by overlapping or distinct neural systems. These knowledge gaps are notewo
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Lüscher, Christian, and Patricia H. Janak. "Consolidating the Circuit Model for Addiction." Annual Review of Neuroscience 44, no. 1 (2021): 173–95. http://dx.doi.org/10.1146/annurev-neuro-092920-123905.

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Addiction is a disease characterized by compulsive drug seeking and consumption observed in 20–30% of users. An addicted individual will favor drug reward over natural rewards, despite major negative consequences. Mechanistic research on rodents modeling core components of the disease has identified altered synaptic transmission as the functional substrate of pathological behavior. While the initial version of a circuit model for addiction focused on early drug adaptive behaviors observed in all individuals, it fell short of accounting for the stochastic nature of the transition to compulsion.
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Zhou, Huanyuan, KongFatt Wong-Lin, and Da-Hui Wang. "Parallel Excitatory and Inhibitory Neural Circuit Pathways Underlie Reward-Based Phasic Neural Responses." Complexity 2018 (2018): 1–20. http://dx.doi.org/10.1155/2018/4356767.

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Phasic activity of dopaminergic (DA) neurons in the ventral tegmental area or substantia nigra compacta (VTA/SNc) has been suggested to encode reward-prediction error signal for reinforcement learning. Recent studies have shown that the lateral habenula (LHb) neurons exhibit a similar response, but for nonrewarding or punishment signals. Hence, the transient signaling role of LHb neurons is opposite that of DA neurons and also that of several other brain nuclei such as the border region of the globus pallidus internal segment (GPb) and the rostral medial tegmentum (RMTg). Previous theoretical
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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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Höflich, Anna, Paul Michenthaler, Siegfried Kasper, and Rupert Lanzenberger. "Circuit Mechanisms of Reward, Anhedonia, and Depression." International Journal of Neuropsychopharmacology 22, no. 2 (2018): 105–18. http://dx.doi.org/10.1093/ijnp/pyy081.

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Han, Wenfei, Luis A. Tellez, Matthew H. Perkins, et al. "A Neural Circuit for Gut-Induced Reward." Cell 175, no. 3 (2018): 665–78. http://dx.doi.org/10.1016/j.cell.2018.08.049.

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Han, Wenfei, Luis A. Tellez, Matthew H. Perkins, et al. "A Neural Circuit for Gut-Induced Reward." Cell 175, no. 3 (2018): 887–88. http://dx.doi.org/10.1016/j.cell.2018.10.018.

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Nestler, Eric J., and William A. Carlezon. "The Mesolimbic Dopamine Reward Circuit in Depression." Biological Psychiatry 59, no. 12 (2006): 1151–59. http://dx.doi.org/10.1016/j.biopsych.2005.09.018.

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de Boer, Lieke, Benjamín Garzón, Jan Axelsson, et al. "Corticostriatal White Matter Integrity and Dopamine D1 Receptor Availability Predict Age Differences in Prefrontal Value Signaling during Reward Learning." Cerebral Cortex 30, no. 10 (2020): 5270–80. http://dx.doi.org/10.1093/cercor/bhaa104.

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Abstract Probabilistic reward learning reflects the ability to adapt choices based on probabilistic feedback. The dopaminergically innervated corticostriatal circuit in the brain plays an important role in supporting successful probabilistic reward learning. Several components of the corticostriatal circuit deteriorate with age, as it does probabilistic reward learning. We showed previously that D1 receptor availability in NAcc predicts the strength of anticipatory value signaling in vmPFC, a neural correlate of probabilistic learning that is attenuated in older participants and predicts proba
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Volkow, Nora D., Gene-Jack Wang, Joanna S. Fowler, and Frank Telang. "Overlapping neuronal circuits in addiction and obesity: evidence of systems pathology." Philosophical Transactions of the Royal Society B: Biological Sciences 363, no. 1507 (2008): 3191–200. http://dx.doi.org/10.1098/rstb.2008.0107.

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Drugs and food exert their reinforcing effects in part by increasing dopamine (DA) in limbic regions, which has generated interest in understanding how drug abuse/addiction relates to obesity. Here, we integrate findings from positron emission tomography imaging studies on DA's role in drug abuse/addiction and in obesity and propose a common model for these two conditions. Both in abuse/addiction and in obesity, there is an enhanced value of one type of reinforcer (drugs and food, respectively) at the expense of other reinforcers, which is a consequence of conditioned learning and resetting of
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Dissertations / Theses on the topic "Reward circuit"

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Tian, Ju. "Neural Circuit Mechanisms Underlying Dopamine Reward Prediction Errors." Thesis, Harvard University, 2016. http://nrs.harvard.edu/urn-3:HUL.InstRepos:33493547.

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Dopamine neurons are thought to facilitate learning by signaling reward prediction errors (RPEs), the discrepancy between actual and expected reward. However, how RPEs are calculated remains unknown. In Chapter 1, I tested the hypothesis that RPE signals in dopamine neurons are inherited entirely from the lateral habenula, by examining how lesions of the habenular complex affect the response of optogenetically-identified dopamine neurons in mice. I found that despite large lesions of habenula, dopamine neurons maintained features of RPE coding pertaining to phasic dopamine responses. Interesti
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Blancas, Velazquez Aurea Susana. "Nourriture palatable, gènes horloges et le circuit de la récompense." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAJ039.

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Cette thèse a étudié l’interaction entre l’obésité induit par la diète et la physiologie fcHFHS) avec un régime gras et sucrée ou un régime normocalorique chez la souris et le rat. Le régime fcHFHS a modifié le profile journalier de prise alimentaire et l’expression de la protéine PER2 dans l’habenula latérale (LHb) chez la souris. Cependant chez le rat, ni la prise alimentaire ni l’expression du gène Per2 dans la LHb n’ont changé, mais des altérations ont été observées dans le noyau accumbens. Chez les rats nourris avec une diète standard ou fcHFHS, le blocage glutamatergique dans la LHb indu
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Douglass, Amelia [Verfasser], and Rüdiger [Akademischer Betreuer] Klein. "Neural circuit mechanisms underlying modulation of food consumption and reward by the central amygdala / Amelia Douglass ; Betreuer: Rüdiger Klein." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2017. http://d-nb.info/114827622X/34.

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Bermudez-Martin, Patricia. "Perturbations de la périphérie et du microbiote Intestinal dans les Troubles du Spectre Autistique : Le rôle spécifique du p-Crésol." Electronic Thesis or Diss., Université Côte d'Azur, 2020. http://www.theses.fr/2020COAZ6011.

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Ce travail de thèse porte principalement sur les anomalies périphériques associées aux Troubles du Spectre Autistique (TSA), un groupe de pathologies du neurodéveloppement fréquentes.La première section est consacrée au travail principal de ma thèse et porte sur l'influence du microbiote et des métabolites bactériens dans les TSA. Chez les patients autistes, les déficits d’interaction sociale et les comportements répétitifs ou stéréotypies sont fréquemment associés à des symptômes gastro-intestinaux, des anomalies de composition de la flore intestinale et des niveaux anormaux de métabolites pr
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Fiallos, Ana Marcia. "Brain circuits for the representation of subjective reward value." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/62716.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, February 2011.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 97-102).<br>Successful interaction with the external world requires choosing appropriate actions in the context of available choices. Such decisions require the evaluation of the reward magnitude, or value, associated with each potential action. Delineating the neural circuits involved in this process remains an important goal in systems neuroscience. However, little is known about the neural circuits t
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McHale, Gary. "Adaptive networks for robotics and the emergence of reward anticipatory circuits." Thesis, University of Sussex, 2012. http://sro.sussex.ac.uk/id/eprint/42409/.

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Currently the central challenge facing evolutionary robotics is to determine how best to extend the range and complexity of behaviour supported by evolved neural systems. Implicit in the work described in this thesis is the idea that this might best be achieved through devising neural circuits (tractable to evolutionary exploration) that exhibit complementary functional characteristics. We concentrate on two problem domains; locomotion and sequence learning. For locomotion we compare the use of GasNets and other adaptive networks. For sequence learning we introduce a novel connectionist model
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Ramirez, Donna Renee. "The neural circuitry of reward expectancies produced by the differential outcomes procedure." Diss., Online access via UMI:, 2006.

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Thurnham, A. J. "Computational modelling of the neural systems involved in schizophrenia." Thesis, University of Hertfordshire, 2008. http://hdl.handle.net/2299/1842.

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The aim of this thesis is to improve our understanding of the neural systems involved in schizophrenia by suggesting possible avenues for future computational modelling in an attempt to make sense of the vast number of studies relating to the symptoms and cognitive deficits relating to the disorder. This multidisciplinary research has covered three different levels of analysis: abnormalities in the microscopic brain structure, dopamine dysfunction at a neurochemical level, and interactions between cortical and subcortical brain areas, connected by cortico-basal ganglia circuit loops; and has c
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Thum, Andreas Stephan. "Sugar reward learning in Drosophila neuronal circuits in Drosophila associative olfactory learning /." Doctoral thesis, [S.l.] : [s.n.], 2006. http://deposit.ddb.de/cgi-bin/dokserv?idn=980586771.

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Chan, Ching-Yuen. "Cell controller for printed circuit board assembly rework." Thesis, University of Salford, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386432.

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Books on the topic "Reward circuit"

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Chan, Ching-Yuen. Cell controller for printed circuit board assembly rework. University of Salford, 1994.

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IPC (Organization) Repairability Subcommittee. Rework, modification and repair of electronic assemblies. IPC, 1988.

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Steele, Vaughn R., Vani Pariyadath, Rita Z. Goldstein, and Elliot A. Stein. Reward Circuitry and Drug 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/9780190681425.003.0044.

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Addiction is a complex neuropsychiatric syndrome related to dysregulation of brain systems including the mesocorticolimbic dopamine reward circuit. Dysregulation of reward circuitry is related to each of the three cyclical stages in the disease model of addiction: maintenance, abstinence, and relapse. Parsing reward circuitry is confounded due to the anatomical complexity of cortico-basal ganglia-thalamocortical loops, forward and backward projections within the circuit, and interactions between neurotransmitter systems. We begin by introducing the neurobiology of the reward system, specifical
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Hogh-Olesen, Henrik. Art and the Brain’s Reward System. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190927929.003.0008.

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Chapter 7 takes the investigation of the aesthetic impulse into the human brain to understand, first, why only we—and not our closest relatives among the primates—express ourselves aesthetically; and second, how the brain reacts when presented with aesthetic material. Brain scans are less useful when you are interested in the Why of aesthetic behavior rather than the How. Nevertheless, some brain studies have been ground-breaking, and neuroaesthetics offers a pivotal argument for the key function of the aesthetic impulse in human lives; it shows us that the brain’s reward circuit is activated
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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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Haber, Suzanne N. Neurocircuitry Underlying OCD. Edited by Christopher Pittenger. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780190228163.003.0020.

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Structural and functional imaging studies have identified abnormalities in the brains of individuals with OCD. The most consistent findings point to pathology in the circuitry connecting the prefrontal cortex with the basal ganglia, and especially to abnormalities in the orbitofrontal cortex (OFC), ventromedial prefrontal cortex (vmPFC), dorsal anterior cingulate cortex (dACC), and striatum. This chapter describes the detailed anatomy and interconnectivity of these structures, together with its functional correlates, to provide context for the more detailed treatment of abnormalities seen in O
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Hyman, Steven E. The neurobiology of addiction as a window on voluntary control of behavior and moral responsibility. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198786832.003.0024.

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Many laboratories, working worldwide on both animal models and human subjects, have produced significant insights into the neurobiological mechanisms that underlie drug addiction. Addictive drugs produce pathologic activation of brain reward circuits, resulting in long-term alterations in brain circuitry involved in decision-making and control of behavior. The result is a loss of control over drug seeking and engagement in compulsive drug use despite negative consequences. This scientific view is in tension with moral models that see drug use by addicted people as a matter of errant choice com
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Nutt, David J., and Liam J. Nestor. Conclusion and overview. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198797746.003.0013.

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Substance addiction is a chronic relapsing disorder. It is the manifestation of the long-term pharmacological actions of substances on the receptor mechanisms of the brain’s neural circuitry. There are different neurotransmitter systems (e.g. dopamine, GABA, opioids) and even appetite hormones, acting within this neural circuitry in addiction, but their collective roles in the disorder remain equivocal. Importantly, disturbances to these systems may also pre-date addiction, which leads people to initiate substance abuse (e.g. stress, reward sensitivity). People may also be at an increased risk
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Nutt, David J., and Liam J. Nestor. The glutamate system and addiction. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780198797746.003.0009.

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Glutamate is the primary excitatory neurotransmitter in the brain. Glutamate is involved in synaptic plasticity, particularly within dopamine systems of the brain that are involved in reward. Glutamate-dependent plasticity is involved in the development of substance addiction through its actions at NMDA receptors during long-term potentiation (LTP) related learning and memory processes. This plasticity within brain circuitry involved in learning and memory is sustained during substance abstinence and may provide a neural substrate for a vulnerability to addiction relapse. Medications that poss
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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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Book chapters on the topic "Reward circuit"

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Watanabe, Moe, and Minoru Narita. "Brain Reward Circuit and Pain." In Advances in Pain Research: Mechanisms and Modulation of Chronic Pain. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1756-9_17.

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Yu, Jinsong, Yue Li, Mona N. Hussein, Zhongchao Wang, Jinxia Dai, and Gang Cao. "Fiber Photometry of Neural Activity in Specific Neural Circuit." In The Brain Reward System. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-1146-3_16.

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Pessiglione, Mathias, and Maël Lebreton. "From the Reward Circuit to the Valuation System: How the Brain Motivates Behavior." In Handbook of Biobehavioral Approaches to Self-Regulation. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4939-1236-0_11.

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Yan, Hui, Xinle Liu, Hong Huo, and Tao Fang. "Mechanisms of Reward-Modulated STDP and Winner-Take-All in Bayesian Spiking Decision-Making Circuit." In Neural Information Processing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36718-3_14.

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Zhang, Wen. "Neural Circuits for Reward." In Advances in Experimental Medicine and Biology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7086-5_4.

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Pattabhiraman, Hrishikesh, and Ryan D. Ward. "Chemogenetic (DREADD) Exploration of Circuits Mediating Reward-Motivated Attention." In The Brain Reward System. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-1146-3_9.

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Huda, Rafiq, Leena Ali Ibrahim, and Bernard Bloem. "Two-Photon Microscopy for Studying Reward Circuits of the Brain." In The Brain Reward System. Springer US, 2020. http://dx.doi.org/10.1007/978-1-0716-1146-3_17.

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Bateson, John. "The Rework Station and Networking." In In-Circuit Testing. Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-011-7009-3_5.

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Koziol, Leonard F., Deborah Ely Budding, and Dana Chidekel. "Reward Circuitry and the Basal Ganglia." In ADHD as a Model of Brain-Behavior Relationships. Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-8382-3_17.

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Yamane, Luciana Harue, Denise Crocce Romano Espinosa, Jorge Alberto, and Soares Tenório. "Bioextraction of Copper from Printed Circuit Boards: Influence of Initial Concentration of Ferrous Iron." In REWAS 2013. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118679401.ch38.

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Conference papers on the topic "Reward circuit"

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Acuff, Samuel, Nicholas Simon, and James Murphy. "Effort Expenditure and Cannabis Use: Testing the Amotivational Hypothesis." In 2020 Virtual Scientific Meeting of the Research Society on Marijuana. Research Society on Marijuana, 2021. http://dx.doi.org/10.26828/cannabis.2021.01.000.32.

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Cannabis is the most commonly used illicit drug in the US and appears to have an indirect effect on dopamine (DA) output in the mesolimbic projection, a circuit implicated in reward processing and effort expenditure. Thus, some have suggested that cannabis use might be associated with aberrant effort-based decision making. The most popular theory positing changes in motivation due to cannabis use is the amotivation syndrome hypothesis, which suggests that chronic cannabis use results in impaired executive functioning, arousal, and affective reactivity leading to reduced capacity for goal-direc
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Roy Mahapatra, D., N. Chakraborty, S. Bandopadhyay, and B. Balachandran. "Gyrosonics: Signature Analysis and Reduced-Order Models." In ASME 2010 International Mechanical Engineering Congress and Exposition. ASMEDC, 2010. http://dx.doi.org/10.1115/imece2010-39847.

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In this paper, the authors study the structure of a novel binaural sound with a certain phase and amplitude modulation and the response to this excitation when it is applied to natural rewarding circuit of human brain through auditory neural pathways. This novel excitation, also referred to as gyrosonic excitation in this work, has been found to have interesting effects such as stabilization effects on the left and right hemispheric brain signaling as captured by Galvanic Skin Resistance (GSR) measurements, control of cardiac rhythms (observed from ECG signals), mitigation of psychosomatic syn
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Gómez-Carreño, Carlos Rodríguez, Antonio Ramírez García, Luis Beato Fernández, Irene Díaz Quero, and Estefanía Segura Escobar. "Craving and Priming of alcohol in depressive disorders. Bibliographic review and new therapies." In 22° Congreso de la Sociedad Española de Patología Dual (SEPD) 2020. SEPD, 2020. http://dx.doi.org/10.17579/sepd2020p140.

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Acute alcohol consumption produces positive reinforcement effects, through activation of brain reward circuit, includes limbic system structures (accumbens system and hippocampus). The comorbidity of depressive episode and alcohol abuse makes it necessary to propose new strategies for the treatment of this frequent clinical situation. We conducted a literature review of the combined treatments for major depressive disorder (MDD) with alcohol abuse. We review current literature on the use of new treatments in alcohol consumption with pattern of abuse (binge drinking). Recent studies support the
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Gowda, Arun, Anthony Primavera, and K. Srihari. "Site Redressing Techniques and Rework of Lead-Free Chip Scale Packages." In ASME 2003 International Mechanical Engineering Congress and Exposition. ASMEDC, 2003. http://dx.doi.org/10.1115/imece2003-55637.

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The implementation of lead-free solder into an electronics assembly process necessitates the reassessment of the individual factors involved in component attachment and rework. A component assembly undergoes multiple thermal cycles during rework. With the use of lead-free solder, the assemblies are subjected to higher assembly and rework temperatures than those required for eutectic tin-lead assemblies. The rework of lead-free area array components involves the removal of defective component, preparation of the printed circuit board attachment pad (site redressing), solder paste replenishment
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Courellis, Hristos S., David Peterson, Howard Poizner, Gert Cauwenberghs, and John Iversen. "EEG based inference of causal cortical network dynamics in reward-based decision making." In 2015 IEEE Biomedical Circuits and Systems Conference (BioCAS). IEEE, 2015. http://dx.doi.org/10.1109/biocas.2015.7348346.

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Heng, Charlie A. S., and Robert K. L. Gay. "Design for Manufacturability: Cost Analysis of Electronic Circuit Board Assembly." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0070.

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Abstract This paper discusses a methodology to predict the cost of assembling printed circuit boards (PCB). It is formulated using the flexible assembly system in the Experimental Printed Circuit Board Assembly Facility (EPCBAF) of the GINTIC Institute of CIM. The concept of Boothroyd and Dewhurst is applied in this work. The assembly cost accounts for insertion, test and rework costs only. Although focusing on the specific configuration of the system in EPCBAF, the discussion is directed towards broad applications, enabling a wide variety of assembly systems to be simulated.
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Bhar, Jamila, Ridha Ouni, and Salem Nasri. "Performance evaluation of compensation/reward mechanism for resource allocation in wireless networks." In 2008 15th IEEE International Conference on Electronics, Circuits and Systems (ICECS 2008). IEEE, 2008. http://dx.doi.org/10.1109/icecs.2008.4675073.

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Fidan, Ismail, Larry Ruff, and Stephen Derby. "The Integration of a SMT Fully-Automated Rework Cell for Fine-Pitch Surface Mounted Devices." In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/fas-1711.

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Abstract Surface mounted components have become the choice of the electronics manufacturing industry to solve problems in the complex circuit boards. New components using increased lead counts on finer pitches make manufacturing difficult. The increased complexity, cost, and lead count of the Surface Mount Technology (SMT) components, and also the increasing compactness of the SMT assemblies have demanded the creation of newer rework tools as an essential part of electronics manufacturing. Therefore, it becomes essential to have a well-controlled process to assure that rework is not only possi
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Sandborn, Peter A. "A Review of the Economics of Embedded Passives." In ASME 2003 International Electronic Packaging Technical Conference and Exhibition. ASMEDC, 2003. http://dx.doi.org/10.1115/ipack2003-35339.

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This paper provides an overview of the economic issues and cost models associated with the conversion of discrete passives to embedded passives in printed circuit boards. Three attributes of economic analysis are included herein: fabrication and manufacturing cost analyses, embedded resistor trim and rework economics, and non-manufacturing life cycle costs that are impacted by the conversion of discrete passives to embedded passives. In addition, a complete set of references to existing work on the economics of embedded passives is provided.
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Reza, Md Farhadur, and Bo Zhao. "Deep Reinforcement Learning with Different Rewards for Scheduling in High-Performance Computing Systems." In 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS). IEEE, 2021. http://dx.doi.org/10.1109/mwscas47672.2021.9531852.

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