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Yoav Benjamini
Researcher at Tel Aviv University
Publications - 190
Citations - 114920
Yoav Benjamini is an academic researcher from Tel Aviv University. The author has contributed to research in topics: False discovery rate & Multiple comparisons problem. The author has an hindex of 53, co-authored 185 publications receiving 99592 citations. Previous affiliations of Yoav Benjamini include University of Washington & University of Pennsylvania.
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Stopping behavior: constraints on exploration in rats (Rattus norvegicus)
TL;DR: There is an intrinsic upper bound on the number of times a rat stops during an excursion, and this work uses home base location as a reference place for rat movement in locale space, and establishes the uniform distribution as an appropriate model for thenumber of stops per excursion.
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Statistical discrimination of natural modes of motion in rat exploratory behavior.
TL;DR: The locomotor behavior of the rat during exploration is analyzed, and it is shown that digitally collected data provide a sufficient basis for establishing that the rat uses several distinct modes of motion.
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Reproducibility and replicability of rodent phenotyping in preclinical studies.
Neri Kafkafi,Joseph Agassi,Elissa J. Chesler,John C. Crabbe,Wim E. Crusio,David Eilam,Robert Gerlai,Ilan Golani,Alex Gomez-Marin,Ruth Heller,Fuad A. Iraqi,Iman Jaljuli,Natasha A. Karp,Hugh P. Morgan,George Nicholson,Donald W. Pfaff,S. Helene Richter,Philip B. Stark,Oliver Stiedl,Victoria Stodden,Lisa M. Tarantino,Valter Tucci,William Valdar,Robert W. Williams,Hanno Würbel,Yoav Benjamini +25 more
TL;DR: The scientific community is increasingly concerned with the proportion of published “discoveries” that are not replicated in subsequent studies, and the general consensus was that the issue is prevalent and of concern, and should be addressed at the statistical, methodological and policy levels.
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New replicable anxiety-related measures of wall vs. center behavior of mice in the open field
TL;DR: An algorithm, based on the Software for the Exploration of Exploration strategy, is presented, which automatically partitions the mouse path into intrinsically defined patterns of movement near the wall and in the center, which provide an articulated description of various aspects of behavior near the Wall in the open field.
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Rats and mice share common ethologically relevant parameters of exploratory behavior.
TL;DR: In this paper, the authors developed interactive software that uses as input the automatically digitized time-series of the animal's location for the visualization, analysis, capturing and quantification of these patterns.