His primary areas of study are Brain mapping, Neuroimaging, Cognitive psychology, Field and Neuroscience. As part of his studies on Brain mapping, Tal Yarkoni often connects relevant areas like Cognition. His study explores the link between Neuroimaging and topics such as Functional magnetic resonance imaging that cross with problems in Flexibility and Identification.
His study in Cognitive psychology is interdisciplinary in nature, drawing from both Social psychology, Personality and Cognitive neuroscience. His work in the fields of Neuroscience, such as Prefrontal cortex, Working memory and Functional connectivity, overlaps with other areas such as Scale. The concepts of his Functional neuroimaging study are interwoven with issues in Human brain and Bioinformatics.
Tal Yarkoni spends much of his time researching Neuroimaging, Cognition, Cognitive psychology, Artificial intelligence and Neuroscience. His biological study spans a wide range of topics, including Neural correlates of consciousness and Cognitive science. Many of his research projects under Cognition are closely connected to Brain activity and meditation with Brain activity and meditation, tying the diverse disciplines of science together.
His Cognitive psychology research includes elements of Working memory, Functional magnetic resonance imaging, Operationalization and Personality. His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning, Human brain and Pattern recognition. His work on Prefrontal cortex and Neuroinformatics as part of general Neuroscience research is often related to Scale and Coactivation, thus linking different fields of science.
His scientific interests lie mostly in Neuroimaging, Artificial intelligence, Cognition, Inference and Neural correlates of consciousness. In his works, Tal Yarkoni performs multidisciplinary study on Neuroimaging and Pathological. His Artificial intelligence research incorporates themes from Natural language processing, Functional magnetic resonance imaging and Pattern recognition.
His Cognition research is multidisciplinary, incorporating perspectives in Variety, Statistical hypothesis testing, Terminology and Cognitive science. His work deals with themes such as Operationalization, Statistical inference, Generalizability theory, Formalism and Set, which intersect with Inference. Protocol is intertwined with Data structure, Preprocessor, Image processing and Software in his research.
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Large-scale automated synthesis of human functional neuroimaging data
Tal Yarkoni;Russell A Poldrack;Thomas E Nichols;David C Van Essen.
Nature Methods (2011)
Promoting an open research culture
B. A. Nosek;G. Alter;G. C. Banks;D. Borsboom.
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning:
Tal Yarkoni;Jacob Westfall.
Perspectives on Psychological Science (2017)
Scanning the horizon: towards transparent and reproducible neuroimaging research
Russell A. Poldrack;Chris I. Baker;Joke Durnez;Krzysztof J. Gorgolewski.
Nature Reviews Neuroscience (2017)
Decoding the Role of the Insula in Human Cognition: Functional Parcellation and Large-Scale Reverse Inference
Luke J. Chang;Tal Yarkoni;Mel Win Khaw;Alan G. Sanfey;Alan G. Sanfey.
Cerebral Cortex (2013)
Moving beyond Coltheart’s N: A new measure of orthographic similarity
Tal Yarkoni;David Balota;Melvin Yap.
Psychonomic Bulletin & Review (2008)
Personality in 100,000 Words: A large-scale analysis of personality and word use among bloggers
Journal of Research in Personality (2010)
Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence
Michael W. Cole;Tal Yarkoni;Grega Repovš;Alan Anticevic.
The Journal of Neuroscience (2012)
Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul et al. (2009).
Perspectives on Psychological Science (2009)
How open science helps researchers succeed.
Erin C McKiernan;Philip E Bourne;C Titus Brown;Stuart Buck.
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