Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Tay, Daniel

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2024Hybrid amyloid-chitin nanofibrils for magnetic and catalytic aerogels14citations
  • 2022Searching for Visual Singletons Without A Feature to Guide Attention10citations

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Donat, Felix
1 / 2 shared
Peydayesh, Mohammad
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Bagnani, Massimo
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Almohammadi, Hamed
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Boschi, Enrico
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Mezzenga, Raffaele
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Shiroka, Toni
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Usuelli, Mattia
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Li, Mingqin
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2024
2022

Co-Authors (by relevance)

  • Donat, Felix
  • Peydayesh, Mohammad
  • Bagnani, Massimo
  • Almohammadi, Hamed
  • Boschi, Enrico
  • Mezzenga, Raffaele
  • Shiroka, Toni
  • Usuelli, Mattia
  • Li, Mingqin
OrganizationsLocationPeople

article

Searching for Visual Singletons Without A Feature to Guide Attention

  • Tay, Daniel
Abstract

<jats:title>Abstract</jats:title><jats:p>RT studies have provided evidence for a singleton-detection strategy that is used to search for salient targets when there is no additional featural knowledge that would help guide attention. Despite this behavioral evidence, there have been few ERP studies of singleton detection mode because it was reported early on that the ERP signature of attentional selection (the N2pc) is absent without feature guidance. Recently, however, it was discovered that a small and relatively late N2pc occurs in singleton detection mode along with a previously unreported component called the singleton detection positivity (SDP). Here, we show that both components are influenced by the number of items in the display, as one might expect in a salience-based search mode. Specifically, the N2pc and SDP were larger when the set size was increased to make the singleton “pop out” more easily, when participants responded more quickly regardless of set size, and when RT search slopes were negative (Experiment 1). The latency of the SDP also depended on set size. In Experiment 2, EEG was recorded with a higher density electrode array to better characterize the scalp topography of the components and to estimate their neural sources. Regional sources near the ventral surface of extrastriate cortex in the occipital lobe explained over 96% of N2pc and SDP activities. These results indicate that searching in singleton detection mode selectively modulates processing within perceptual regions of visual cortex.</jats:p>

Topics
  • density
  • impedance spectroscopy
  • surface
  • experiment