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Michael (1975) reviewed efforts to classify reinforcing events in terms of whether stimuli are added (positive reinforcement) or removed (negative reinforcement). He concluded that distinctions in these terms are confusing and ambiguous.... more
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Results of previous research indicate that the delivery of positive reinforcement (e.g., food) for an appropriate, alternative target response (e.g., compliance) or delivery of food on a time-based schedule can decrease problem behavior... more
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Everyone, including children with developmental disabilities, encounters stimuli they find aversive every day (e.g., the sound of a classmate tapping their pencil). These aversive stimuli may not be problematic for typically developing... more
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The present work aimed to investigate the effects of contingent and “non-contingent” negative reinforcement on varying behavior (Experiment I), as well as the effects of two extinction procedures (Experiment II), on behavioral... more
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Factors that influence choice between qualitatively different reinforcers (e.g., a food item or a break from work) are important to consider when arranging treatments for problem behavior. Previous findings indicate that children who... more
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About 200 journal articles reported research on Tourette syndrome and other tic disorders in 2014. Here we briefly summarize a few of the reports that seemed most important or interesting, ranging from animal models to human studies.... more
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The objective of the current study was to compare the effects of sensory-integration therapy (SIT) and a behavioral intervention on rates of challenging behavior (including self-injurious behavior) in four children diagnosed with Autism... more
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We present an ART-based neural network model (adapted from [2]) of the development of discrimination-shift learning that models the trial-by-trial learning process in great detail. In agreement with the results of human participants (4–20... more
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Many animal and human subjects can learn to avoid punishment or noxious stimuli by exploiting the sensory cues predicting them. In cue-signaled active avoidance (AA) learning, subjects first learn about the predictive properties of cues... more
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Abstract  The potential of emotional interaction between human and computer has recently interested researchers in human–computer interaction. The instructional impact of this interaction in learning environments has not been established,... more
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To what extent do we learn from the positive versus negative outcomes of our decisions? The neuromodulator dopamine plays a key role in these reinforcement learning processes. Patients with Parkinson's disease, who have depleted... more
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The Maryland Resource for the Behavioral Utilization of the Reinforcement of Negative Stimuli (MRBURNS) is a novel behavioral task designed to measure individual differences in negative reinforcement-based risk taking propensity.... more
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A procedure to study human operant conditioning is described using a timeout from a high-force requirement as reinforcer when a high force response was required. Experiment 1 reported evidence that a timeout from a high-force requirement... more
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