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Dr Tom Beesley

Faculty: Science
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My research focusses on understanding how humans process and learn about the relationships between aspects of their surrounding environment, and how such learning shapes behavior.
Professor Gavan Patrick McNally

Faculty: Science
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Our research is concerned with the fundamental brain mechanisms for motivation and how these apply to clinical conditions such as addictions, anxiety disorders, and mood disorders.
Dr Angela Marissa Nickerson

Faculty: Science
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Dr Angela Nickerson is a Lecturer at the School of Psychology, UNSW Australia, and Director of the Refugee Trauma and Recovery Program. Her research focuses on
Associate Professor William Hulme Wilson

Faculty: Engineering
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Associate Professor in School of Computer Science and Engineering Research interests Level 1: I use mathematics and computing to model mind processes
Dr Ben Smith

Faculty: Medicine
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Ben is the Translational Research Fellow at the Centre for Oncology Education and Research Translation (CONCERT), where the focus of his role is on moving evidence into practice.
Dr Damien John Mannion

Faculty: Science
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ABOUT ME   Biography I am a lecturer and vision science researcher in the School of Psychology.
Dr Janette Louise Smith

Faculty: Medicine
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Dr Smith holds a highly competitive Australian Rotary Health Royce Abbey Postdoctoral Research Fellowship at the National Drug and Alcohol Research Centre, Faculty of Medicine.
Dr John Dudley Crawford

Faculty: Medicine
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I obtained the degrees BSc(hons) in Physics and MEngSc in Electrical Engineering (University of Sydney), and a PhD in Psychology (UNSW) in the area of indivi
Professor Brett Hayes

Faculty: Science
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Professor Hayes (UNSW) is the founding Director of the UNSW Thinking and Reasoning Laboratory, which he has led for 15 years.  In that time the laboratory has attracted over $3M in competitive
Prediction-error processing in schizophrenia

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Prediction-error learning is the mechanism by which animals (including people) adjust their expectations so as to match their experience of the world, and prediction-erorr reduction is central to formal models of attentional learning and reinforcement learning.