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BIAL Foundation
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TI:"Optimal models of human multiple-target visual search"
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DocumentOptimal models of human multiple-target visual search2011

Reference code: PT/FB
Entity holding: BIAL Foundation
Location: S. Mamede do Coronado
Title:
BIAL Foundation Archive
Start date: 1994
History:
The BIAL Foundation was created in 1994 by Laboratórios BIAL in conjunction with the Council of Rectors of Portuguese Universities. BIAL’s Foundation mission is to foster the scientific study of Man from both the physical and spiritual perspectives.
Along the years the BIAL Foundation has developed an important relationship with the scientific community, first in Portugal and after worldwide. Today it is an institution of reference which aims to stimulate new researches that may help people, promote more health and contribute to new milestones to gain access to knowledge.
Among its activities the BIAL Foundation manages the BIAL Award, created in 1984, one of the most important awards in the Health field in Europe. The BIAL Award rewards both the basic and the clinical research distinguishing works of major impact in medical research.
The BIAL Foundation also assigns Scientific Research Scholarships for the study of neurophysiological and mental health in people, arousing the interest of researchers in the areas of Psychophysiology and Parapsychology.
To date the BIAL Foundation has supported 461 projects, more than 1000 researchers, with research groups in twenty-seven countries, resulting, until April 2013, in about 600 full papers, out of which 172 published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Since 1996 the BIAL Foundation organizes the Symposia entitled "Behind and Beyond the Brain", a Forum that gathers well renowned neurosciences speakers and the BIAL Foundation Fellows which are spread around the world.
Classified as an institution of public utility, the BIAL Foundation includes among its patrons the Portuguese President, the Portuguese Universities Rectors' Council and the Portuguese Medical Association.
URL: Visitante: / http://www.bial.com/pt/
Accessibility: By permission

Reference code: PT/FB/BL
Entity holding: BIAL Foundation
Title: BIAL Grants
Start date: 1994
History:
In 1994 the BIAL Foundation launched a programme of science research grants with the aim of encouraging the research into Man’s physical and mental processes, namely in fields still largely unexplored but which warrant further scientific analysis, as Psychophysiology and Parapsychology.
Since its launch, applications to the BIAL grants have been increasing. Up to now 461 projects have been supported, involving more than 1000 researchers from 27 countries.
The approved applications have benefited from grants in amounts comprised between €5,000 and €50, 000. The amount to be granted is fixed by the Scientific board according to the needs of each project.
The supported projects have originated, until April 2013, in about 600 full papers, 172 out of which were published in indexed international journals with an average impact factor of 3.6 and a substantial number of citations (1665).
Among the BIAL Foundation fellows is worth highlighting the presence of scientists from prestigious universities from the United States, United Kingdom, Australia, Russia, Germany, Japan, France, Canada, and many others.
The BIAL grants are promoted biannually.

Reference code: PT/FB/BL-2008
Location: Arquivo PCA - Pastas 1 a
Title:
2008 Grants
Start date: 2009-01

Reference code: PT/FB/BL-2008-141
Location: Arquivo PCA - Pasta 18/2008
Title:
141 - Neural and Computational Mechanisms of Conscious and Unconscious Decisions Under Uncertainty
Duration: 2009-10 - 2013-11
Researcher(s):
Edward Vul, Nancy Kanwisher, Joshua Tenenbaum
Institution(s): Department of Psychology, University of California, San Diego, CA (USA)
Contents: Contents:
Bursary agreement
Application form
Correspondence
Financial report and expenditure documents
Language: eng
Author:
Vul, E.
Secondary author(s):
Kanwisher, N., Tenenbaum, J.
Number of reproductions:
1
Keywords:
Psychophysiology / Cognitive processes / Perception / Attention / Decision-making / Brain structure and function / Body structure and function / Vision

Reference code: PT/FB/BL-2008-141.11
Location: Arquivo PCA - Pasta 18/2008
Title:
Optimal models of human multiple-target visual search
Publication year: 2011
URL:
Visitante: / http://mindmodeling.org/cogsci2011/papers/0038/paper0038.pdf
Abstract/Results: ABSTRACT:
Unlike laboratory experiments, real-world visual search can contain multiple targets. Searching for an unknown number of targets creates a unique set of challenges for the observer, and often produces serious errors. We propose a Bayesian optimal foraging model to predict and describe behavior in such search scenarios, and investigate whether people adapt their search strategies based on complex statistics of target distributions. Separate groups searched arrays drawn from three target distributions with the same average number of targets per display, but different target-clustering properties. As predicted, participants searched longer when they expected more targets to remain and adjusted their expectations as searches unfolded, indicating that searchers are sensitive to the target distribution, consistent with both an optimal foraging framework and an ideal Bayesian observer. However, compared to the ideal observers, searchers systematically under-adjusted to the target distribution, suggesting that training could improve multiple-target search in radiology and other crucial applications.
Accessibility: Document does not exist in file
Language:
eng
Author:
Cain, M.
Secondary author(s):
Vul, E., Clark, K., Mitroff, S.
Document type:
Conference paper
Number of reproductions:
1
Reference:
Cain, M., Clark, K., Mitroff, S., & Vul, E. (2011). Slow drift of individuals magnitude-to-number mapping. In L. Carlson, C. Hoelscher, & T. F. Shipley (Eds.), Proceedings of the 33rd Annual Conference of the Cognitive Science Society (pp. 184-189). Austin, TX: Cognitive Science Society.
Indexed document: No
Keywords: Visual search / Optimal foraging theory / Bayesian modeling