Task and Display Size Effects on the Role of Featural and Relational Information

2000 ◽  
Author(s):  
Mary Jo Carnot ◽  
Neal Johnson
Keyword(s):  
Size Effects ◽  
Display Size ◽  
Relational Information

scholarly journals Early development of corn seedlings primed with synthetic tenorite nanofertilizer

2020 ◽  
Vol 42 ◽  
Author(s):  
Michel Esper Neto ◽  
David W. Britt ◽  
Kyle Alan Jackson ◽  
Alessandro Lucca Braccini ◽  
Tadeu Takeyoshi Inoue ◽  
...  
Keyword(s):  
Seed Germination ◽  
Size Effects ◽  
Seed Priming ◽  
Seedling Development ◽  
Cuo Nanoparticles ◽  
The Other ◽  
Corn Seed ◽  
Cu Toxicity ◽  
Germination And Growth

Abstract: Fertilizer formulation alternatives that avoid unnecessary losses and environmental impacts are being investigated in agricultural management. Seed priming with nanofertilizers prior to planting, reduces concerns about non-target dispersion; however, priming formulations and concentrations must be carefully selected to avoid undesired effects. Here, seed germination and seedling development were evaluated after seed priming with CuO nanoparticles (NPs), CuO bulk and CuCl2. The seeds were immersed in priming solutions of 0, 20, 40, 80 and 160 mg.L−1 Cu for the three Cu sources. Following 8 hours priming, the seeds were evaluated for germination and vigor (first germination count). Root and shoot lengths were measured as well as shoot and root dry biomass. The copper NP did not show any toxic effects on corn seed germination and growth, and also promoted higher biomass when compared to the other Cu sources. On the other hand, CuCl2 primed seeds exhibited Cu-toxicity in roots and shoots for all concentrations tested. Bulk Cu priming results indicated the better role of NPs size effects. These findings support NP-seed priming as an alternative to delivery of essential micronutrients, such as copper, to corn seedlings.

The role of relational information in contingent capture.

2010 ◽  
Vol 36 (6) ◽  
pp. 1460-1476 ◽  
Author(s):  
Stefanie I. Becker ◽  
Charles L. Folk ◽  
Roger W. Remington
Keyword(s):  
Contingent Capture ◽  
Relational Information

Role of Quantum-size Effects on the Dehydrogenation of CH4 on 3d TMn Clusters: DFT Calculations Combined with Data Mining

2022 ◽  
Author(s):  
Karla Furtado Andriani ◽  
Priscilla Felício Sousa ◽  
Felipe Orlando Morais ◽  
Juarez L. F. Da Silva
Keyword(s):  
Data Mining ◽  
Transition Metal ◽  
Dft Calculations ◽  
Theoretical Investigation ◽  
Size Effects ◽  
Metal Clusters ◽  
Quantum Size Effects ◽  
Transition Metal Clusters ◽  
Quantum Size

In this work, we report a theoretical investigation of the role of quantum-size effects (QSE) on the dehydrogenation of methane (CH4) on 3d transition-metal clusters, TMn , where TM =...

Scale-invariant Characteristics of Forgetting: Toward a Unifying Account of Hippocampal Forgetting across Short and Long Timescales

2020 ◽  
Vol 32 (3) ◽  
pp. 386-402
Author(s):  
Talya Sadeh ◽  
Yoni Pertzov
Keyword(s):  
Time Dependent ◽  
Scale Invariant ◽  
Relational Information ◽  
Recent Advances ◽  
Growing Body ◽  
Neural Underpinnings ◽  
Important Extension ◽  
Long Timescales ◽  
Prevailing View

After over 100 years of relative silence in the cognitive literature, recent advances in the study of the neural underpinnings of memory—specifically, the hippocampus—have led to a resurgence of interest in the topic of forgetting. This review draws a theoretically driven picture of the effects of time on forgetting of hippocampus-dependent memories. We review evidence indicating that time-dependent forgetting across short and long timescales is reflected in progressive degradation of hippocampal-dependent relational information. This evidence provides an important extension to a growing body of research accumulated in recent years, showing that—in contrast to the once prevailing view that the hippocampus is exclusively involved in memory and forgetting over long timescales—the role of the hippocampus also extends to memory and forgetting over short timescales. Thus, we maintain that similar rules govern not only remembering but also forgetting of hippocampus-dependent information over short and long timescales.

scholarly journals Focusing on what matters: Modulation of the human hippocampus by relational attention

2018 ◽  
Author(s):  
Natalia I. Córdova ◽  
Nicholas B. Turk-Browne ◽  
Mariam Aly
Keyword(s):  
Visual Perception ◽  
Activity Patterns ◽  
The Other ◽  
Temporal Relations ◽  
Relational Processing ◽  
Relational Information ◽  
Dynamic Display ◽  
Pattern Similarity ◽  
Online Extraction

AbstractHippocampal episodic memory is fundamentally relational, consisting of links between events and the spatial and temporal contexts in which they occurred. Such relations are also important over much shorter time periods, during online visual perception. For example, how do we assess the relative spatial positions of objects, their temporal order, or the relationship between their features? Here, we investigate the role of the hippocampus in such online relational processing by manipulating visual attention to different kinds of relations in a dynamic display. While undergoing high-resolution fMRI, participants viewed two images in rapid succession on each trial and performed one of three relational tasks, judging the images’ relative: spatial positions, temporal onsets, or sizes. As a control, they sometimes also judged whether one image was tilted, irrespective of the other; this served as a baseline item task with no demands on relational processing. All hippocampal regions of interest (CA1, CA2/3/DG, subiculum) showed reliable deactivation when participants attended to relational vs. item information. Attention to temporal relations was associated with more robust deactivation than the other conditions. One possible interpretation of such deactivation is that it reflects hippocampal disengagement. If true, there should be reduced information content and noisier, less reliable patterns of activity in the hippocampus for the temporal vs. other tasks. Instead, analyses of multivariate activity patterns revealed more stable hippocampal representations in the temporal task. Additional analyses showed that this increased pattern similarity was not simply a reflection of the lower univariate activity. Thus, the hippocampus differentiates between relational and item processing even during online visual perception, and its representations of temporal relations in particular are robust and stable. Together, these findings suggest that the relational computations of the hippocampus, known to be important for memory, extend beyond this purpose, enabling the rapid online extraction of relational information in visual perception.

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