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Reward based learning

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https://www.readbyqxmd.com/read/29793042/aminergic-neuromodulation-of-associative-visual-learning-in-harnessed-honey-bees
#1
Nino Mancini, Martin Giurfa, Jean-Christophe Sandoz, Aurore Avarguès-Weber
The honey bee Apis mellifera is a major insect model for studying visual cognition. Free-flying honey bees learn to associate different visual cues with a sucrose reward and may deploy sophisticated cognitive strategies to this end. Yet, the neural bases of these capacities cannot be studied in flying insects. Conversely, immobilized bees are accessible to neurobiological investigation but training them to respond appetitively to visual stimuli paired with sucrose reward is difficult. Here we succeeded in coupling visual conditioning in harnessed bees with pharmacological analyses on the role of octopamine (OA), dopamine (DA) and serotonin (5-HT) in visual learning...
May 21, 2018: Neurobiology of Learning and Memory
https://www.readbyqxmd.com/read/29787566/influence-of-learning-strategy-on-response-time-during-complex-value-based-learning-and-choice
#2
Shiva Farashahi, Katherine Rowe, Zohra Aslami, Maria Ida Gobbini, Alireza Soltani
Measurements of response time (RT) have long been used to infer neural processes underlying various cognitive functions such as working memory, attention, and decision making. However, it is currently unknown if RT is also informative about various stages of value-based choice, particularly how reward values are constructed. To investigate these questions, we analyzed the pattern of RT during a set of multi-dimensional learning and decision-making tasks that can prompt subjects to adopt different learning strategies...
2018: PloS One
https://www.readbyqxmd.com/read/29786160/aberrant-learning-in-parkinson-s-disease-a-neurocomputational-study-on-bradykinesia
#3
Mauro Ursino, Chiara Baston
Parkinson's disease (PD) is a neurodegenerative disorder characterized by a progressive decline in motor functions, such as bradykinesia, caused by the pathological denervation of nigrostriatal dopaminergic neurons within the basal ganglia (BG). It is acknowledged that dopamine (DA) directly affects the modulatory role of BG towards the cortex. However, a growing body of literature is suggesting that DA induced aberrant synaptic plasticity could play a role in the core symptoms of PD, thus recalling for a "reconceptualization" of the pathophysiology...
May 22, 2018: European Journal of Neuroscience
https://www.readbyqxmd.com/read/29778803/age-affects-reinforcement-learning-through-dopamine-based-learning-imbalance-and-high-decision-noise-not-through-parkinsonian-mechanisms
#4
Ravi B Sojitra, Itamar Lerner, Jessica R Petok, Mark A Gluck
Probabilistic reinforcement learning declines in healthy cognitive aging. While some findings suggest impairments are especially conspicuous in learning from rewards, resembling deficits in Parkinson's disease, others also show impairments in learning from punishments. To reconcile these findings, we tested 252 adults from 3 age groups on a probabilistic reinforcement learning task, analyzed trial-by-trial performance with a Q-reinforcement learning model, and correlated both fitted model parameters and behavior to polymorphisms in dopamine-related genes...
April 19, 2018: Neurobiology of Aging
https://www.readbyqxmd.com/read/29771918/a-hybrid-q-learning-sine-cosine-based-strategy-for-addressing-the-combinatorial-test-suite-minimization-problem
#5
Kamal Z Zamli, Fakhrud Din, Bestoun S Ahmed, Miroslav Bures
The sine-cosine algorithm (SCA) is a new population-based meta-heuristic algorithm. In addition to exploiting sine and cosine functions to perform local and global searches (hence the name sine-cosine), the SCA introduces several random and adaptive parameters to facilitate the search process. Although it shows promising results, the search process of the SCA is vulnerable to local minima/maxima due to the adoption of a fixed switch probability and the bounded magnitude of the sine and cosine functions (from -1 to 1)...
2018: PloS One
https://www.readbyqxmd.com/read/29771674/multisource-transfer-double-dqn-based-on-actor-learning
#6
Jie Pan, Xuesong Wang, Yuhu Cheng, Qiang Yu
Deep reinforcement learning (RL) comprehensively uses the psychological mechanisms of "trial and error" and "reward and punishment" in RL as well as powerful feature expression and nonlinear mapping in deep learning. Currently, it plays an essential role in the fields of artificial intelligence and machine learning. Since an RL agent needs to constantly interact with its surroundings, the deep Q network (DQN) is inevitably faced with the need to learn numerous network parameters, which results in low learning efficiency...
June 2018: IEEE Transactions on Neural Networks and Learning Systems
https://www.readbyqxmd.com/read/29770352/context-driven-salt-seeking-test-rats
#7
Stephen E Chang, Kyle S Smith
Changes in reward seeking behavior often occur through incremental learning based on the difference between what is expected and what actually happens. Behavioral flexibility of this sort requires experience with rewards as better or worse than expected. However, there are some instances in which behavior can change through non-incremental learning, which requires no further experience with an outcome. Such an example of non-incremental learning is the salt appetite phenomenon. In this case, animals such as rats will immediately seek out a highly-concentrated salt solution that was previously undesired when they are put in a novel state of sodium deprivation...
April 5, 2018: Bio-protocol
https://www.readbyqxmd.com/read/29768072/an-integrated-developmental-four-year-medical-school-curriculum-in-palliative-care-a-longitudinal-content-evaluation-based-on-national-competency-standards
#8
Erin M Denney-Koelsch, Robert Horowitz, Timothy Quill, Constance D Baldwin
BACKGROUND: While palliative care (PC) competencies for medical school graduates have been defined, the lack of established curriculum models and assessment tools hampers curricular evaluation. OBJECTIVE: To describe the scope and content of the University of Rochester's longitudinal, integrated four-year PC curriculum after 17 years of implementation, review student evaluative responses, and compare the curriculum to national competency standards. DESIGN AND SETTING: Combining and reorganizing a published PC curriculum assessment tool and a list of medical school PC competencies, we created a novel nine-topic framework to assess the content coverage of our curriculum...
May 16, 2018: Journal of Palliative Medicine
https://www.readbyqxmd.com/read/29760527/prefrontal-cortex-as-a-meta-reinforcement-learning-system
#9
Jane X Wang, Zeb Kurth-Nelson, Dharshan Kumaran, Dhruva Tirumala, Hubert Soyer, Joel Z Leibo, Demis Hassabis, Matthew Botvinick
Over the past 20 years, neuroscience research on reward-based learning has converged on a canonical model, under which the neurotransmitter dopamine 'stamps in' associations between situations, actions and rewards by modulating the strength of synaptic connections between neurons. However, a growing number of recent findings have placed this standard model under strain. We now draw on recent advances in artificial intelligence to introduce a new theory of reward-based learning. Here, the dopamine system trains another part of the brain, the prefrontal cortex, to operate as its own free-standing learning system...
May 14, 2018: Nature Neuroscience
https://www.readbyqxmd.com/read/29760401/belief-state-representation-in-the-dopamine-system
#10
Benedicte M Babayan, Naoshige Uchida, Samuel J Gershman
Learning to predict future outcomes is critical for driving appropriate behaviors. Reinforcement learning (RL) models have successfully accounted for such learning, relying on reward prediction errors (RPEs) signaled by midbrain dopamine neurons. It has been proposed that when sensory data provide only ambiguous information about which state an animal is in, it can predict reward based on a set of probabilities assigned to hypothetical states (called the belief state). Here we examine how dopamine RPEs and subsequent learning are regulated under state uncertainty...
May 14, 2018: Nature Communications
https://www.readbyqxmd.com/read/29758478/mechanisms-of-value-learning-in-the-guidance-of-spatial-attention
#11
Brian A Anderson, Haena Kim
The role of associative reward learning in the guidance of feature-based attention is well established. The extent to which reward learning can modulate spatial attention has been much more controversial. At least one demonstration of a persistent spatial attention bias following space-based associative reward learning has been reported. At the same time, multiple other experiments have been published failing to demonstrate enduring attentional biases towards locations at which a target, if found, yields high reward...
May 11, 2018: Cognition
https://www.readbyqxmd.com/read/29758337/model-free-and-model-based-reward-prediction-errors-in-eeg
#12
Thomas D Sambrook, Ben Hardwick, Andy J Wills, Jeremy Goslin
Learning theorists posit two reinforcement learning systems: model-free and model-based. Model-based learning incorporates knowledge about structure and contingencies in the world to assign candidate actions with an expected value. Model-free learning is ignorant of the world's structure; instead, actions hold a value based on prior reinforcement, with this value updated by expectancy violation in the form of a reward prediction error. Because they use such different learning mechanisms, it has been previously assumed that model-based and model-free learning are computationally dissociated in the brain...
May 11, 2018: NeuroImage
https://www.readbyqxmd.com/read/29748165/using-mobile-health-gamification-to-facilitate-cognitive-behavioral-therapy-skills-practice-in-child-anxiety-treatment-open-clinical-trial
#13
Gede Pramana, Bambang Parmanto, James Lomas, Oliver Lindhiem, Philip C Kendall, Jennifer Silk
BACKGROUND: Cognitive behavioral therapy is an efficacious treatment for child anxiety disorders. Although efficacious, many children (40%-50%) do not show a significant reduction in symptoms or full recovery from primary anxiety diagnoses. One possibility is that they are unwilling to learn and practice cognitive behavioral therapy skills beyond therapy sessions. This can occur for a variety of reasons, including a lack of motivation, forgetfulness, and a lack of cognitive behavioral therapy skills understanding...
May 10, 2018: JMIR Serious Games
https://www.readbyqxmd.com/read/29740084/periodical-reactivation-under-the-effect-of-caffeine-attenuates-fear-memory-expression-in-rats
#14
Lizeth K Pedraza, Rodrigo O Sierra, Fernanda N Lotz, Lucas de Oliveira Alvares
In the last decade, several studies have shown that fear memories can be attenuated by interfering with reconsolidation. However, most of the pharmacological agents used in preclinical studies cannot be administered to humans. Caffeine is one of the world's most popular psychoactive drugs and its effects on cognitive and mood states are well documented. Nevertheless, the influence of caffeine administration on fear memory processing is not as clear. We employed contextual fear conditioning in rats and acute caffeine administration under a standard memory reconsolidation protocol or periodical memory reactivation...
May 8, 2018: Scientific Reports
https://www.readbyqxmd.com/read/29735404/impaired-expected-value-computations-coupled-with-overreliance-on-stimulus-response-learning-in-schizophrenia
#15
Dennis Hernaus, James M Gold, James A Waltz, Michael J Frank
BACKGROUND: While many have emphasized impaired reward prediction error signaling in schizophrenia, multiple studies suggest that some decision-making deficits may arise from overreliance on stimulus-response systems together with a compromised ability to represent expected value. Guided by computational frameworks, we formulated and tested two scenarios in which maladaptive representations of expected value should be most evident, thereby delineating conditions that may evoke decision-making impairments in schizophrenia...
April 3, 2018: Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
https://www.readbyqxmd.com/read/29735249/an-adaptive-deep-q-learning-strategy-for-handwritten-digit-recognition
#16
Junfei Qiao, Gongming Wang, Wenjing Li, Min Chen
Handwritten digits recognition is a challenging problem in recent years. Although many deep learning-based classification algorithms are studied for handwritten digits recognition, the recognition accuracy and running time still need to be further improved. In this paper, an adaptive deep Q-learning strategy is proposed to improve accuracy and shorten running time for handwritten digit recognition. The adaptive deep Q-learning strategy combines the feature-extracting capability of deep learning and the decision-making of reinforcement learning to form an adaptive Q-learning deep belief network (Q-ADBN)...
February 22, 2018: Neural Networks: the Official Journal of the International Neural Network Society
https://www.readbyqxmd.com/read/29731417/social-touch-and-human-development
#17
Carissa J Cascio, David Moore, Francis McGlone
Social touch is a powerful force in human development, shaping social reward, attachment, cognitive, communication, and emotional regulation from infancy and throughout life. In this review, we consider the question of how social touch is defined from both bottom-up and top-down perspectives. In the former category, there is a clear role for the C-touch (CT) system, which constitutes a unique submodality that mediates affective touch and contrasts with discriminative touch. Top-down factors such as culture, personal relationships, setting, gender, and other contextual influences are also important in defining and interpreting social touch...
April 24, 2018: Developmental Cognitive Neuroscience
https://www.readbyqxmd.com/read/29728090/what-can-we-learn-from-problem-based-learning-tutors-at-a-graduate-entry-medical-school-a-mixed-method-approach
#18
Diane O Doherty, Helena Mc Keague, Sarah Harney, Gerard Browne, Deirdre McGrath
Problem-based learning (PBL) has been adopted by many medical schools as an innovative method to deliver an integrated medical curriculum since its inception at McMaster University (Dornan et al., Med Educ 39(2):163-170, 2005; Finucane et al., Med Educ 35(1):56-61, 2001; Barrows, Tutorials in problem-based learning: A new direction in teaching the health professions, 1984). The student experience in PBL has been explored in detail (Merriam, New Directions for Adult and Continuing Education 89: 3-13, 2001; Azer, Kaohsiung J Med Sci 25(5): 240-249, 2009; Boelens et al...
May 4, 2018: BMC Medical Education
https://www.readbyqxmd.com/read/29725559/trapped-as-a-group-escape-as-a-team-applying-gamification-to-incorporate-team-building-skills-through-an-escape-room-experience
#19
Xiao Chi Zhang, Hyunjoo Lee, Carlos Rodriguez, Joshua Rudner, Teresa M Chan, Dimitrios Papanagnou
Teamwork, a skill critical for quality patient care, is recognized as a core competency by the Accreditation Council for Graduate Medical Education (ACGME). To date, there is no consensus on how to effectively teach these skills in a forum that engages learners, immerses members in life-like activities, and builds both trust and rapport. Recreational 'Escape Rooms' have gained popularity in creating a life-like environment that rewards players for working together, solving puzzles, and completing successions of mind-bending tasks in order to effectively 'escape the room' in the time allotted...
March 2, 2018: Curēus
https://www.readbyqxmd.com/read/29725317/psychopathy-to-altruism-neurobiology-of-the-selfish-selfless-spectrum
#20
REVIEW
James W H Sonne, Don M Gash
The age-old philosophical, biological, and social debate over the basic nature of humans as being "universally selfish" or "universally good" continues today highlighting sharply divergent views of natural social order. Here we analyze advances in biology, genetics and neuroscience increasing our understanding of the evolution, features and neurocircuitry of the human brain underlying behavior in the selfish-selfless spectrum. First, we examine evolutionary pressures for selection of altruistic traits in species with protracted periods of dependence on parents and communities for subsistence and acquisition of learned behaviors...
2018: Frontiers in Psychology
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