1. Avishai Henik is an Israeli neurocognitive psychologist who works at Ben-Gurion University of the Negev.
13 Facts About Avishai Henik
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Avishai Henik characterizes automatic processes, and clarifies their importance, the relationship between automatic and voluntary processes, and their neural underpinnings.
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Avishai Henik received his undergraduate degree in psychology and education from Ben-Gurion University of the Negev in 1971.
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Avishai Henik then moved to the Hebrew University of Jerusalem to study for his MA and PhD degrees under the supervision of Nobel Laureate Daniel Kahneman.
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Avishai Henik began as a lecturer at Ben-Gurion University of the Negev in 1979 and was promoted to Senior Lecturer in 1984, then to Associate Professor in 1992, and a full professor in 1996.
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Avishai Henik is currently continuing his research as an emeritus distinguished professor.
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Avishai Henik has written over 200 articles, in addition to an edited book entitled, Continuous Issues in Numerical Cognition: How Many or How Much.
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Daniel Kahneman 8.
Avishai Henik was the instigator and chair of a multidisciplinary think-tank sponsored by the Israeli Ministry of Education whose function was to better understand the crossroads where neuroscience, cognitive science, and education meet.
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In 2012, Avishai Henik won a European Research Council Advanced Researcher Grant to study the role of size perception and evaluation in numerical cognition.
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Avishai Henik started his work on attention under the supervision of Daniel Kahneman in the middle of the 1970s.
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Kahneman and Avishai Henik published two papers on selective attention, one of which has been heavily cited throughout the years.
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Since then, Avishai Henik studied the neurocognitive mechanisms that underlie orienting of visual-spatial attention and selective attention.
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Together with Joseph Tzelgov, Avishai Henik designed the numerical Stroop task and showed the intimate relationship between sizes and numbers, and the fact that numerical values are processed automatically even when completely irrelevant to the task.