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Reward based learning

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https://www.readbyqxmd.com/read/28108321/virtual-reality-conditioned-place-preference-using-monetary-reward
#1
Emma Childs, Robert S Astur, Harriet de Wit
Computerized tasks based on conditioned place preference (CPP) methodology offer the opportunity to study learning mechanisms involved in conditioned reward in humans. In this study, we examined acquisition and extinction of a CPP for virtual environments associated with monetary reward ($). Healthy men and women (N=57) completed a computerized CPP task in which they controlled an avatar within a virtual environment. On day 1, subjects completed 6 conditioning trials in which one room was paired with high $ and another with low $...
January 17, 2017: Behavioural Brain Research
https://www.readbyqxmd.com/read/28106849/a-reinforcement-learning-model-equipped-with-sensors-for-generating-perception-patterns-implementation-of-a-simulated-air-navigation-system-using-ads-b-automatic-dependent-surveillance-broadcast-technology
#2
Santiago Álvarez de Toledo, Aurea Anguera, José M Barreiro, Juan A Lara, David Lizcano
Over the last few decades, a number of reinforcement learning techniques have emerged, and different reinforcement learning-based applications have proliferated. However, such techniques tend to specialize in a particular field. This is an obstacle to their generalization and extrapolation to other areas. Besides, neither the reward-punishment (r-p) learning process nor the convergence of results is fast and efficient enough. To address these obstacles, this research proposes a general reinforcement learning model...
January 19, 2017: Sensors
https://www.readbyqxmd.com/read/28100737/selectivity-in-postencoding-connectivity-with-high-level-visual-cortex-is-associated-with-reward-motivated-memory
#3
Vishnu P Murty, Alexa Tompary, R Alison Adcock, Lila Davachi
: Reward motivation has been demonstrated to enhance declarative memory by facilitating systems-level consolidation. Although high-reward information is often intermixed with lower reward information during an experience, memory for high value information is prioritized. How is this selectivity achieved? One possibility is that postencoding consolidation processes bias memory strengthening to those representations associated with higher reward. To test this hypothesis, we investigated the influence of differential reward motivation on the selectivity of postencoding markers of systems-level memory consolidation...
January 18, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28095006/can-the-structure-of-motor-variability-predict-learning-rate
#4
David Barbado Murillo, Carla Caballero Sánchez, Janice Moreside, Francisco J Vera-García, Francisco J Moreno
Recent studies show that motor variability is actively regulated as an exploration tool to promote learning in reward-based tasks. However, its role in learning processes during error-based tasks, when a reduction of the motor variability is required to achieve good performance, is still unclear. In this study, we hypothesized that error-based learning not only depends on exploration but also on the individuals' ability to measure and predict the motor error. Previous studies identified a less auto-correlated motor variability as a higher ability to perform motion adjustments...
January 16, 2017: Journal of Experimental Psychology. Human Perception and Performance
https://www.readbyqxmd.com/read/28077716/the-attraction-effect-modulates-reward-prediction-errors-and-intertemporal-choices
#5
Sebastian Gluth, Jared M Hotaling, Jörg Rieskamp
: Classical economic theory contends that the utility of a choice option should be independent of other options. This view is challenged by the attraction effect, in which the relative preference between two options is altered by the addition of a third, asymmetrically dominated option. Here, we leveraged the attraction effect in the context of intertemporal choices to test whether both decisions and reward prediction errors (RPE) in the absence of choice violate the independence of irrelevant alternatives principle...
January 11, 2017: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
https://www.readbyqxmd.com/read/28063134/how-can-pricing-and-reimbursement-policies-improve-affordable-access-to-medicines-lessons-learned-from-european-countries
#6
REVIEW
Sabine Vogler, Valérie Paris, Alessandra Ferrario, Veronika J Wirtz, Kees de Joncheere, Peter Schneider, Hanne Bak Pedersen, Guillaume Dedet, Zaheer-Ud-Din Babar
This article discusses pharmaceutical pricing and reimbursement policies in European countries with regard to their ability to ensure affordable access to medicines. A frequently applied pricing policy is external price referencing. While it provides some benchmark for policy-makers and has been shown to be able to generate savings, it may also contribute to delay in product launch in countries where medicine prices are low. Value-based pricing has been proposed as a policy that promotes access while rewarding useful innovation; however, implementing it has proven quite challenging...
January 6, 2017: Applied Health Economics and Health Policy
https://www.readbyqxmd.com/read/28052091/sense-of-accomplishment-is-modulated-by-a-proper-level-of-instruction-and-represented-in-the-brain-reward-system
#7
Tomoya Nakai, Hironori Nakatani, Chihiro Hosoda, Yulri Nonaka, Kazuo Okanoya
Problem-solving can be facilitated with instructions or hints, which provide information about given problems. The proper amount of instruction that should be provided for learners is controversial. Research shows that tasks with intermediate difficulty induce the largest sense of accomplishment (SA), leading to an intrinsic motivation for learning. To investigate the effect of instructions, we prepared three instruction levels (No hint, Indirect hint, and Direct hint) for the same insight-problem types. We hypothesized that indirect instructions impose intermediate difficulty for each individual, thereby inducing the greatest SA per person...
2017: PloS One
https://www.readbyqxmd.com/read/28048367/th-a-207b-00-shear-wave-imaging-and-a-qiba-us-biomarker-update
#8
Paul Carson
: Imaging of tissue elastic properties is a relatively new and powerful approach to one of the oldest and most important diagnostic tools. Imaging of shear wave speed with ultrasound is has been added to most high-end ultrasound systems. Understanding this exciting imaging mode aiding its most effective use in medicine can be a rewarding effort for medical physicists and other medical imaging and treatment professionals. Assuring consistent, quantitative measurements across the many ultrasound systems in a typical imaging department will constitute a major step toward realizing the great potential of this technique and other quantitative imaging...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048257/th-c-brb-01-open-source-hardware-general-overview
#9
F Therriault-Proulx
: By definition, Open Source Hardware (OSH) is "hardware whose design is made publicly available so that anyone can study, modify, distribute, make, and sell the design or hardware based on that design". The advantages of OSH are multiple and the movement has been growing exponentially over the last couple years, leading to the spread and evolution of 3D printing technologies, the creation of affordable and easy to use micro-controller boards (Arduino, Raspberry Pi, etc.), as well as a plurality of other "hands-on"/DIY projects...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047721/th-a-207b-01-basics-and-current-implementations-of-ultrasound-imaging-of-shear-wave-speed-and-elasticity
#10
S Chen
: Imaging of tissue elastic properties is a relatively new and powerful approach to one of the oldest and most important diagnostic tools. Imaging of shear wave speed with ultrasound is has been added to most high-end ultrasound systems. Understanding this exciting imaging mode aiding its most effective use in medicine can be a rewarding effort for medical physicists and other medical imaging and treatment professionals. Assuring consistent, quantitative measurements across the many ultrasound systems in a typical imaging department will constitute a major step toward realizing the great potential of this technique and other quantitative imaging...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047610/th-c-brb-02-open-source-medical-devices-lessons-learned-from-a-complex-collaborative-research-project
#11
S Prajapati
: By definition, Open Source Hardware (OSH) is "hardware whose design is made publicly available so that anyone can study, modify, distribute, make, and sell the design or hardware based on that design". The advantages of OSH are multiple and the movement has been growing exponentially over the last couple years, leading to the spread and evolution of 3D printing technologies, the creation of affordable and easy to use micro-controller boards (Arduino, Raspberry Pi, etc.), as well as a plurality of other "hands-on"/DIY projects...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047153/th-c-brb-00-open-source-hardware-in-medical-physics-and-its-potential-to-accelerate-innovation
#12
Francois Therriault-Proulx
: By definition, Open Source Hardware (OSH) is "hardware whose design is made publicly available so that anyone can study, modify, distribute, make, and sell the design or hardware based on that design". The advantages of OSH are multiple and the movement has been growing exponentially over the last couple years, leading to the spread and evolution of 3D printing technologies, the creation of affordable and easy to use micro-controller boards (Arduino, Raspberry Pi, etc.), as well as a plurality of other "hands-on"/DIY projects...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047072/th-a-207b-02-qiba-ultrasound-elasticity-imaging-system-biomarker-qualification-and-user-testing-of-systems
#13
B Garra
: Imaging of tissue elastic properties is a relatively new and powerful approach to one of the oldest and most important diagnostic tools. Imaging of shear wave speed with ultrasound is has been added to most high-end ultrasound systems. Understanding this exciting imaging mode aiding its most effective use in medicine can be a rewarding effort for medical physicists and other medical imaging and treatment professionals. Assuring consistent, quantitative measurements across the many ultrasound systems in a typical imaging department will constitute a major step toward realizing the great potential of this technique and other quantitative imaging...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046962/th-c-brb-03-open-source-hardware-in-the-context-of-simple-and-widely-shared-clinical-applications
#14
J Cunha
: By definition, Open Source Hardware (OSH) is "hardware whose design is made publicly available so that anyone can study, modify, distribute, make, and sell the design or hardware based on that design". The advantages of OSH are multiple and the movement has been growing exponentially over the last couple years, leading to the spread and evolution of 3D printing technologies, the creation of affordable and easy to use micro-controller boards (Arduino, Raspberry Pi, etc.), as well as a plurality of other "hands-on"/DIY projects...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28018206/the-role-of-multiple-neuromodulators-in-reinforcement-learning-that-is-based-on-competition-between-eligibility-traces
#15
Marco A Huertas, Sarah E Schwettmann, Harel Z Shouval
The ability to maximize reward and avoid punishment is essential for animal survival. Reinforcement learning (RL) refers to the algorithms used by biological or artificial systems to learn how to maximize reward or avoid negative outcomes based on past experiences. While RL is also important in machine learning, the types of mechanistic constraints encountered by biological machinery might be different than those for artificial systems. Two major problems encountered by RL are how to relate a stimulus with a reinforcing signal that is delayed in time (temporal credit assignment), and how to stop learning once the target behaviors are attained (stopping rule)...
2016: Frontiers in Synaptic Neuroscience
https://www.readbyqxmd.com/read/28017848/testing-the-predictions-of-coping-styles-theory-in-threespined-sticklebacks
#16
Miles K Bensky, Ryan Paitz, Laura Pereira, Alison M Bell
Coping styles theory provides a framework for understanding individual variation in how animals respond to environmental change, and predicts how individual differences in stress responsiveness and behavior might relate to cognitive differences. According to coping styles theory, proactive individuals are bolder, less reactive to stressors, and more routinized than their reactive counterparts. A key tenet of coping styles theory is that variation in coping styles is maintained by tradeoffs with behavioral flexibility: proactive individuals excel in stable environments while more flexible, reactive individuals perform better in variable environments...
December 23, 2016: Behavioural Processes
https://www.readbyqxmd.com/read/28017607/a-simple-computational-model-of-the-bee-mushroom-body-can-explain-seemingly-complex-forms-of-olfactory-learning-and-memory
#17
Fei Peng, Lars Chittka
Honeybees are models for studying how animals with relatively small brains accomplish complex cognition, displaying seemingly advanced (or "non-elemental") learning phenomena involving multiple conditioned stimuli. These include "peak shift" [1-4]-where animals not only respond to entrained stimuli, but respond even more strongly to similar ones that are farther away from non-rewarding stimuli. Bees also display negative and positive patterning discrimination [5], responding in opposite ways to mixtures of two odors than to individual odors...
December 18, 2016: Current Biology: CB
https://www.readbyqxmd.com/read/28002987/decision-making-under-uncertainty-in-a-spiking-neural-network-model-of-the-basal-ganglia
#18
Charlotte Héricé, Radwa Khalil, Marie Moftah, Thomas Boraud, Martin Guthrie, André Garenne
The mechanisms of decision-making and action selection are generally thought to be under the control of parallel cortico-subcortical loops connecting back to distinct areas of cortex through the basal ganglia and processing motor, cognitive and limbic modalities of decision-making. We have used these properties to develop and extend a connectionist model at a spiking neuron level based on a previous rate model approach. This model is demonstrated on decision-making tasks that have been studied in primates and the electrophysiology interpreted to show that the decision is made in two steps...
December 21, 2016: Journal of Integrative Neuroscience
https://www.readbyqxmd.com/read/27989778/modulation-of-ventral-striatal-activity-by-cognitive-effort
#19
Ekaterina Dobryakova, Ryan K Jessup, Elizabeth Tricomi
Effort discounting theory suggests that the value of a reward should be lower if it was effortful to obtain, whereas contrast theory suggests that the contrast between the costly effort and the reward makes the reward seem more valuable. To test these alternative hypotheses, we used functional magnetic resonance imaging (fMRI) as participants engaged in feedback-based learning that required low or high cognitive effort to obtain positive feedback, while the objective amount of information provided by feedback remained constant...
December 15, 2016: NeuroImage
https://www.readbyqxmd.com/read/27936242/performance-in-object-choice-aesop-s-fable-tasks-are-influenced-by-object-biases-in-new-caledonian-crows-but-not-in-human-children
#20
Rachael Miller, Sarah A Jelbert, Alex H Taylor, Lucy G Cheke, Russell D Gray, Elsa Loissel, Nicola S Clayton
The ability to reason about causality underlies key aspects of human cognition, but the extent to which non-humans understand causality is still largely unknown. The Aesop's Fable paradigm, where objects are inserted into water-filled tubes to obtain out-of-reach rewards, has been used to test casual reasoning in birds and children. However, success on these tasks may be influenced by other factors, specifically, object preferences present prior to testing or arising during pre-test stone-dropping training...
2016: PloS One
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