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770 results on '"LALAND, KEVIN N."'

1. Patrick Bateson

Author

Laland, Kevin N., Highfill, Lauren, Section editor, Vonk, Jennifer, editor, and Shackelford, Todd K., editor

Published
2022
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2. An Open Resource for Non-human Primate Imaging

Author

Milham, Michael P, Ai, Lei, Koo, Bonhwang, Xu, Ting, Amiez, Céline, Balezeau, Fabien, Baxter, Mark G, Blezer, Erwin LA, Brochier, Thomas, Chen, Aihua, Croxson, Paula L, Damatac, Christienne G, Dehaene, Stanislas, Everling, Stefan, Fair, Damian A, Fleysher, Lazar, Freiwald, Winrich, Froudist-Walsh, Sean, Griffiths, Timothy D, Guedj, Carole, Hadj-Bouziane, Fadila, Hamed, Suliann Ben, Harel, Noam, Hiba, Bassem, Jarraya, Bechir, Jung, Benjamin, Kastner, Sabine, Klink, P Christiaan, Kwok, Sze Chai, Laland, Kevin N, Leopold, David A, Lindenfors, Patrik, Mars, Rogier B, Menon, Ravi S, Messinger, Adam, Meunier, Martine, Mok, Kelvin, Morrison, John H, Nacef, Jennifer, Nagy, Jamie, Rios, Michael Ortiz, Petkov, Christopher I, Pinsk, Mark, Poirier, Colline, Procyk, Emmanuel, Rajimehr, Reza, Reader, Simon M, Roelfsema, Pieter R, Rudko, David A, Rushworth, Matthew FS, Russ, Brian E, Sallet, Jerome, Schmid, Michael Christoph, Schwiedrzik, Caspar M, Seidlitz, Jakob, Sein, Julien, Shmuel, Amir, Sullivan, Elinor L, Ungerleider, Leslie, Thiele, Alexander, Todorov, Orlin S, Tsao, Doris, Wang, Zheng, Wilson, Charles RE, Yacoub, Essa, Ye, Frank Q, Zarco, Wilbert, Zhou, Yong-di, Margulies, Daniel S, and Schroeder, Charles E

Subjects
Biological Psychology, Psychology, Neurosciences, Biomedical Imaging, Animals, Brain, Connectome, Datasets as Topic, Information Dissemination, Magnetic Resonance Imaging, Neuroimaging, Primates, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Non-human primate neuroimaging is a rapidly growing area of research that promises to transform and scale translational and cross-species comparative neuroscience. Unfortunately, the technological and methodological advances of the past two decades have outpaced the accrual of data, which is particularly challenging given the relatively few centers that have the necessary facilities and capabilities. The PRIMatE Data Exchange (PRIME-DE) addresses this challenge by aggregating independently acquired non-human primate magnetic resonance imaging (MRI) datasets and openly sharing them via the International Neuroimaging Data-sharing Initiative (INDI). Here, we present the rationale, design, and procedures for the PRIME-DE consortium, as well as the initial release, consisting of 25 independent data collections aggregated across 22 sites (total = 217 non-human primates). We also outline the unique pitfalls and challenges that should be considered in the analysis of non-human primate MRI datasets, including providing automated quality assessment of the contributed datasets.

Published
2018

18. Defining the Concept of Public Information

Author

Lotem, Arnon, Winkler, David W., Bednekoff, Peter A., Laland, Kevin N., Coolen, Isabelle, Kendal, Rachel, Danchin, Étienne, Giraldeau, Luc-Alain, Valone, Thomas J., and Wagner, Richard H.

Published
2005

27. Niche Construction

Author

Odling-Smee, F. John, Laland, Kevin N., and Feldman, Marcus W.

Published
1996

29. The Development of Adaptive Conformity in Young Children: Effects of Uncertainty and Consensus

Author

Morgan, Thomas J. H., Laland, Kevin N., and Harris, Paul L.

Abstract

Human culture relies on extensive use of social transmission, which must be integrated with independently acquired (i.e. asocial) information for effective decision-making. Formal evolutionary theory predicts that natural selection should favor adaptive learning strategies, including a bias to copy when uncertain, and a bias to disproportionately copy the majority (known as "conformist transmission"). Although the function and causation of these evolved strategies has been comparatively well studied, little is known of their development. We experimentally investigated the development of the bias to copy-when-uncertain and conformist transmission in children from the ages of 3 to 7, testing predictions derived from theoretical models. Children first attempted to solve a binary-choice quantity discrimination task themselves using asocial information, but were then given the decisions of informants, and an opportunity to revise their answer. We investigated whether children's revised judgments were adaptively contingent on (i) the difficulty of the trial and (ii) the degree of consensus amongst informants. As predicted, older but not younger children copied others more on more difficult trials than on easier trials, even though older children also showed a tendency to stick with their initial, asocial decision. We also found that older children, like adults, were disproportionately receptive to non-total majorities (i.e. were conformist) whereas younger children were receptive only to total (i.e. unanimous) majorities. We conclude that, whilst the mechanism for incorporating social information into decision-making is initially very blunt, across the course of early childhood it converges on the adaptive learning mechanisms observed in adults and predicted by cultural evolutionary theory. A video abstract of this article can be viewed at http://youtu.be/Qb6JINGYqVk

Published
2015
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