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Reward based learning

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https://www.readbyqxmd.com/read/29140258/do-effort-and-reward-at-work-predict-changes-in-cognitive-function-first-longitudinal-results-from-the-representative-german-socio-economic-panel
#1
Natalie Riedel, Johannes Siegrist, Natalia Wege, Adrian Loerbroks, Peter Angerer, Jian Li
It has been suggested that work characteristics, such as mental demands, job control, and occupational complexity, are prospectively related to cognitive function. However, current evidence on links between psychosocial working conditions and cognitive change over time is inconsistent. In this study, we applied the effort-reward imbalance model that allows to build on previous research on mental demands and to introduce reward-based learning as a principle with beneficial effect on cognitive function. We aimed to investigate whether high effort, high reward, and low over-commitment in 2006 were associated with positive changes in cognitive function in terms of perceptual speed and word fluency (2006-2012), and whether the co-manifestation of high effort and high reward would yield the strongest association...
November 15, 2017: International Journal of Environmental Research and Public Health
https://www.readbyqxmd.com/read/29133424/dopamine-reward-prediction-error-signal-codes-the-temporal-evaluation-of-a-perceptual-decision-report
#2
Stefania Sarno, Victor de Lafuente, Ranulfo Romo, Néstor Parga
Learning to associate unambiguous sensory cues with rewarded choices is known to be mediated by dopamine (DA) neurons. However, little is known about how these neurons behave when choices rely on uncertain reward-predicting stimuli. To study this issue we reanalyzed DA recordings from monkeys engaged in the detection of weak tactile stimuli delivered at random times and formulated a reinforcement learning model based on belief states. Specifically, we investigated how the firing activity of DA neurons should behave if they were coding the error in the prediction of the total future reward when animals made decisions relying on uncertain sensory and temporal information...
November 13, 2017: Proceedings of the National Academy of Sciences of the United States of America
https://www.readbyqxmd.com/read/29119404/predicting-similarity-judgments-in-intertemporal-choice-with-machine-learning
#3
Jeffrey R Stevens, Leen-Kiat Soh
Similarity models of intertemporal choice are heuristics that choose based on similarity judgments of the reward amounts and time delays. Yet, we do not know how these judgments are made. Here, we use machine-learning algorithms to assess what factors predict similarity judgments and whether decision trees capture the judgment outcomes and process. We find that combining small and large values into numerical differences and ratios and arranging them in tree-like structures can predict both similarity judgments and response times...
November 8, 2017: Psychonomic Bulletin & Review
https://www.readbyqxmd.com/read/29111454/the-application-of-reward-learning-in-the-real-world-changes-in-the-reward-positivity-amplitude-reflect-learning-in-a-medical-education-context
#4
Chad C Williams, Kent G Hecker, Michael K Paget, Sylvain P Coderre, Kelly W Burak, Bruce Wright, Olave E Krigolson
Evidence ranging from behavioural adaptations to neurocognitive theories has made significant advances into our understanding of feedback-based learning. For instance, over the past twenty years research using electroencephalography has demonstrated that the amplitude of a component of the human event-related brain potential - the reward positivity - appears to change with learning in a manner predicted by reinforcement learning theory (Holroyd and Coles, 2002; Sutton and Barto, 1998). However, while the reward positivity (also known as the feedback related negativity) is well studied, whether the component reflects an underlying learning process or whether it is simply sensitive to feedback evaluation is still unclear...
October 27, 2017: International Journal of Psychophysiology
https://www.readbyqxmd.com/read/29107988/basic-emotions-and-adaptation-a-computational-and-evolutionary-model
#5
Daniela Pacella, Michela Ponticorvo, Onofrio Gigliotta, Orazio Miglino
The core principles of the evolutionary theories of emotions declare that affective states represent crucial drives for action selection in the environment and regulated the behavior and adaptation of natural agents in ancestrally recurrent situations. While many different studies used autonomous artificial agents to simulate emotional responses and the way these patterns can affect decision-making, few are the approaches that tried to analyze the evolutionary emergence of affective behaviors directly from the specific adaptive problems posed by the ancestral environment...
2017: PloS One
https://www.readbyqxmd.com/read/29100871/overt-and-covert-attention-to-location-based-reward
#6
Brónagh McCoy, Jan Theeuwes
Recent research on the impact of location-based reward on attentional orienting has indicated that reward factors play an influential role in spatial priority maps. The current study investigated whether and how reward associations based on spatial location translate from overt eye movements to covert attention. If reward associations can be tied to locations in space, and if overt and covert attention rely on similar overlapping neuronal populations, then both overt and covert attentional measures should display similar spatial-based reward learning...
October 26, 2017: Vision Research
https://www.readbyqxmd.com/read/29098176/transient-prepubertal-mifepristone-treatment-normalizes-deficits-in-contextual-memory-and-neuronal-activity-of-adult-male-rats-exposed-to-maternal-deprivation
#7
Manila Loi, Ratna Angela Sarabdjitsingh, Andromachi Tsouli, Stephanie Trinh, Marit Arp, Harmen J Krugers, Henk Karst, Ruud van den Bos, Marian Joëls
Early life adversity is a well-known risk factor for behavioral dysfunction later in life, including the formation of contextual memory; it is also (transiently) accompanied by hyperactivity of the stress system. We tested whether mifepristone (MIF) treatment, which among other things blocks glucocorticoid receptors (GRs), during the prepubertal period [postnatal days (PND)26-PND28] normalizes memory deficits in adult male rats exposed to 24-h maternal deprivation (MD) at PND3. MD reduced body weight gain and increased basal corticosterone (CORT) levels during the PND26, but not in adulthood...
September 2017: ENeuro
https://www.readbyqxmd.com/read/29096197/motor-cortex-inhibition-by-tms-reduces-cognitive-non-motor-procedural-learning-when-immediate-incentives-are-present
#8
Leonora Wilkinson, Philip J Koshy, Adam Steel, Devin Bageac, Selene Schintu, Eric M Wassermann
Inhibitory repetitive transcranial magnetic stimulation (rTMS) of the primary motor area (M1) impairs motor sequence-learning, but not basic motor function. It is unknown if this is specific for motor forms of procedural learning or a more general effect. To investigate, we tested the effect of M1-inhibition on the weather prediction task (WPT), a learning task with minimal motor learning component. In the WPT, participants learn arbitrary, probabilistic, associations between sets of meaningless cues and fictional outcomes...
October 6, 2017: Cortex; a Journal Devoted to the Study of the Nervous System and Behavior
https://www.readbyqxmd.com/read/29096115/model-based-predictions-for-dopamine
#9
REVIEW
Angela J Langdon, Melissa J Sharpe, Geoffrey Schoenbaum, Yael Niv
Phasic dopamine responses are thought to encode a prediction-error signal consistent with model-free reinforcement learning theories. However, a number of recent findings highlight the influence of model-based computations on dopamine responses, and suggest that dopamine prediction errors reflect more dimensions of an expected outcome than scalar reward value. Here, we review a selection of these recent results and discuss the implications and complications of model-based predictions for computational theories of dopamine and learning...
October 30, 2017: Current Opinion in Neurobiology
https://www.readbyqxmd.com/read/29093539/chimpanzees-spontaneously-take-turns-in-a-shared-serial-ordering-task
#10
Christopher Flynn Martin, Dora Biro, Tetsuro Matsuzawa
Social coordination can provide optimal solutions to many kinds of group dilemmas, and non-human subjects have been shown to perform single actions successively or simultaneously with partners to maximize food rewards in a variety of experimental settings. Less attention has been given to showing how animals are able to produce multiple (rather than single) intermixed and co-regulated actions, even though many species' signal transmissions and social interactions rely on extended bouts of coordinated turn-taking...
November 1, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29064617/social-comparison-in-the-brain-a-coordinate-based-meta-analysis-of-functional-brain-imaging-studies-on-the-downward-and-upward-comparisons
#11
Yi Luo, Simon B Eickhoff, Sébastien Hétu, Chunliang Feng
Social comparison is ubiquitous across human societies with dramatic influence on people's well-being and decision making. Downward comparison (comparing to worse-off others) and upward comparison (comparing to better-off others) constitute two types of social comparisons that produce different neuropsychological consequences. Based on studies exploring neural signatures associated with downward and upward comparisons, the current study utilized a coordinate-based meta-analysis to provide a refinement of understanding about the underlying neural architecture of social comparison...
October 24, 2017: Human Brain Mapping
https://www.readbyqxmd.com/read/29059254/anhedonia-and-anxiety-underlying-depressive-symptomatology-have-distinct-effects-on-reward-based-decision-making
#12
Katia M Harlé, Dalin Guo, Shunan Zhang, Martin P Paulus, Angela J Yu
Depressive pathology, which includes both heightened negative affect (e.g., anxiety) and reduced positive affect (e.g., anhedonia), is known to be associated with sub-optimal decision-making, particularly in uncertain environments. Here, we use a computational approach to quantify and disambiguate how individual differences in these affective measures specifically relate to different aspects of learning and decision-making in reward-based choice behavior. Fifty-three individuals with a range of depressed mood completed a two-armed bandit task, in which they choose between two arms with fixed but unknown reward rates...
2017: PloS One
https://www.readbyqxmd.com/read/29052112/divergences-in-learning-and-memory-among-wild-zebrafish-do-sex-and-body-size-play-a-role
#13
Tamal Roy, Anuradha Bhat
Given its diverse ecological distribution, zebrafish has great potential for investigations on the effect of habitat characteristics on cognition. Studies were conducted on four wild-caught zebrafish populations to understand the role of native habitat, sex, and body size in determining learning through a novel task associated with a food reward. The habitat variables, namely, the relative abundances of zebrafish and predatory fish and the substrate and vegetation diversity, were quantified during fish sampling...
October 19, 2017: Learning & Behavior
https://www.readbyqxmd.com/read/29049406/distinct-prediction-errors-in-mesostriatal-circuits-of-the-human-brain-mediate-learning-about-the-values-of-both-states-and-actions-evidence-from-high-resolution-fmri
#14
Jaron T Colas, Wolfgang M Pauli, Tobias Larsen, J Michael Tyszka, John P O'Doherty
Prediction-error signals consistent with formal models of "reinforcement learning" (RL) have repeatedly been found within dopaminergic nuclei of the midbrain and dopaminoceptive areas of the striatum. However, the precise form of the RL algorithms implemented in the human brain is not yet well determined. Here, we created a novel paradigm optimized to dissociate the subtypes of reward-prediction errors that function as the key computational signatures of two distinct classes of RL models-namely, "actor/critic" models and action-value-learning models (e...
October 2017: PLoS Computational Biology
https://www.readbyqxmd.com/read/29038562/interacting-learning-processes-during-skill-acquisition-learning-to-control-with-gradually-changing-system-dynamics
#15
Nicolas Ludolph, Martin A Giese, Winfried Ilg
There is increasing evidence that sensorimotor learning under real-life conditions relies on a composition of several learning processes. Nevertheless, most studies examine learning behaviour in relation to one specific learning mechanism. In this study, we examined the interaction between reward-based skill acquisition and motor adaptation to changes of object dynamics. Thirty healthy subjects, split into two groups, acquired the skill of balancing a pole on a cart in virtual reality. In one group, we gradually increased the gravity, making the task easier in the beginning and more difficult towards the end...
October 16, 2017: Scientific Reports
https://www.readbyqxmd.com/read/29038310/free-ranging-dogs-prefer-petting-over-food-in-repeated-interactions-with-unfamiliar-humans
#16
Debottam Bhattacharjee, Shubhra Sau, Jayjit Das, Anindita Bhadra
Dogs (Canis lupus familiaris) are the first species to have been domesticated, and unlike other domesticated species, they have developed a special bonding with their owners. The ability to respond to human gestures and language, and the hypersocial behaviours of dogs are considered key factors that have led them to become man's best friend. Free-ranging dogs provide an excellent model system for understanding the dog-human relationship in various social contexts. In India, free-ranging dogs occur in all possible human habitations...
October 16, 2017: Journal of Experimental Biology
https://www.readbyqxmd.com/read/29035335/selectivity-enhancement-in-electronic-nose-based-on-an-optimized-dqn
#17
Yu Wang, Jianguo Xing, Shu Qian
In order to enhance the selectivity of metal oxide gas sensors, we use a flow modulation method to exploit transient sensor information. The method is based on modulating the flow of the carrier gas that brings the species to be measured into the sensor chamber. We present an active perception strategy by using a DQN which can optimize the flow modulation online. The advantage of DQN is not only that the classification accuracy is higher than traditional methods such as PCA, but also that it has a good adaptability under small samples and labeled data...
October 16, 2017: Sensors
https://www.readbyqxmd.com/read/29034482/deep-reinforcement-learning-for-automated-radiation-adaptation-in-lung-cancer
#18
Huan-Hsin Tseng, Yi Luo, Sunan Cui, Jen-Tzung Chien, Randall K Ten Haken, Issam El Naqa
PURPOSE: To investigate deep reinforcement learning (DRL) based on historical treatment plans for developing automated radiation adaptation protocols for non-small cell lung cancer (NSCLC) patients that aim to maximize tumor local control at reduced rates of radiation pneumonitis grade 2 (RP2). METHODS: In a retrospective population of 114 NSCLC patients who received radiotherapy, a 3-component neural networks framework was developed for deep reinforcement learning (DRL) of dose fractionation adaptation...
October 16, 2017: Medical Physics
https://www.readbyqxmd.com/read/29034318/mediodorsal-thalamic-neurons-mirror-the-activity-of-medial-prefrontal-neurons-responding-to-movement-and-reinforcement-during-a-dynamic-dnmtp-task
#19
Rikki L A Miller, Miranda J Francoeur, Brett M Gibson, Robert G Mair
The mediodorsal nucleus (MD) interacts with medial prefrontal cortex (mPFC) to support learning and adaptive decision-making. MD receives driver (layer 5) and modulatory (layer 6) projections from PFC and is the main source of driver thalamic projections to middle cortical layers of PFC. Little is known about the activity of MD neurons and their influence on PFC during decision-making. We recorded MD neurons in rats performing a dynamic delayed nonmatching to position (dDNMTP) task and compared results to a previous study of mPFC with the same task (Onos et al...
September 2017: ENeuro
https://www.readbyqxmd.com/read/29034315/emergence-of-%C3%AE-band-oscillations-in-the-aged-rat-amygdala-during-discrimination-learning-and-decision-making-tasks
#20
Rachel D Samson, Adam W Lester, Leroy Duarte, Anu Venkatesh, Carol A Barnes
Older adults tend to use strategies that differ from those used by young adults to solve decision-making tasks. MRI experiments suggest that altered strategy use during aging can be accompanied by a change in extent of activation of a given brain region, inter-hemispheric bilateralization or added brain structures. It has been suggested that these changes reflect compensation for less effective networks to enable optimal performance. One way that communication can be influenced within and between brain networks is through oscillatory events that help structure and synchronize incoming and outgoing information...
September 2017: ENeuro
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