Implicitly learning when to be ready:From instances to categories

There is growing appreciation for the role of long-term memory in guiding temporal preparation in speeded reaction time tasks. In experiments with variable foreperiods between a warning stimulus (S1) and a target stimulus (S2), preparation is affected by foreperiod distributions experienced in the past, long after the distribution has changed. These effects from memory can shape preparation largely implicitly, outside of participants' awareness. Recent studies have demonstrated the associative nature of memory-guided preparation. When distinct S1s predict different foreperiods, they can trigger differential preparation accordingly. Here, we propose that memory-guided preparation allows for another key feature of learning: the ability to generalize across acquired associations and apply them to novel situations. Participants completed a variable foreperiod task where S1 was a unique image of either a face or a scene on each trial. Images of either category were paired with different distributions with predominantly shorter versus predominantly longer foreperiods. Participants displayed differential preparation to never-before seen images of either category, without being aware of the predictive nature of these categories. They continued doing so in a subsequent Transfer phase, after they had been informed that these contingencies no longer held. A novel rolling regression analysis revealed at a fine timescale how category-guided preparation gradually developed throughout the task, and that explicit information about these contingencies only briefly disrupted memory-guided preparation. These results offer new insights into temporal preparation as the product of a largely implicit process governed by associative learning from past experiences

LifeWatch deliverable 5.3.1: Technical construction plan: European strategies for local implementation ‐ “Thinking Globally, Acting Locally”

The report outlines the challenges facing the planned ESFRI Research Infrastructure "LifeWatch" for biodiversity and ecosystems research faces and the strategy of integrating existing European initiatives on national / regional levels into the overall construction of the LifeWatch research infrastructure. Outlines the general strategy for construction of the ICT (computing) e-Infrastructure that will be LifeWatch

Flock together with CReATIVE-B: A roadmap of global research data infrastructures supporting biodiversity and ecosystem science

Biodiversity research infrastructures are providing the integrated data sets and support for studying scenarios of biodiversity and ecosystem dynamics. The CReATIVE-B project - Coordination of Research e-Infrastructures Activities Toward an International Virtual Environment for Biodiversity – explored how cooperation and interoperability of large-scale Research Infrastructures across the globe could support the challenges of biodiversity and ecosystem research. A key outcome of the project is that the research infrastructures agreed to continue cooperation after the end of the project to advance scientific progress in understanding and predicting the complexity of natural systems. By working together in implementing the recommendations in this Roadmap, the data and capabilities of the cooperating research infrastructures are better served to address the grand challenges for biodiversity and ecosystem scientists

LifeWatchGreece: Construction and operation of the National Research Infrastructure (ESFRI)

Editorial article explaining the background to and introducing a collection of papers describing the construction and operation phase of the Greek LifeWatch distributed centre: LifeWatchGreece

The Importance of Biodiversity E-infrastructures for Megadiverse Countries

Addressing the challenges of biodiversity conservation and sustainable development requires global cooperation, support structures, and new governance models to integrate diverse initiatives and achieve massive, open exchange of data, tools, and technology. The traditional paradigm of sharing scientific knowledge through publications is not sufficient to meet contemporary demands that require not only the results but also data, knowledge, and skills to analyze the data. E-infrastructures are key in facilitating access to data and providing the framework for collaboration. Here we discuss the importance of e-infrastructures of public interest and the lack of long-term funding policies. We present the example of Brazil’s speciesLink network, an e-infrastructure that provides free and open access to biodiversity primary data and associated tools. SpeciesLink currently integrates 382 datasets from 135 national institutions and 13 institutions from abroad, openly sharing ~7.4 million records, 94% of which are associated to voucher specimens. Just as important as the data is the network of data providers and users. In 2014, more than 95% of its users were from Brazil, demonstrating the importance of local e-infrastructures in enabling and promoting local use of biodiversity data and knowledge. From the outset, speciesLink has been sustained through project-based funding, normally public grants for 2–4-year periods. In between projects, there are short-term crises in trying to keep the system operational, a fact that has also been observed in global biodiversity portals, as well as in social and physical sciences platforms and even in computing services portals. In the last decade, the open access movement propelled the development of many web platforms for sharing data. Adequate policies unfortunately did not follow the same tempo, and now many initiatives may perish

Postoperative Vision-Related Quality of Life in Macula-Off Rhegmatogenous Retinal Detachment Patients and Its Relation to Visual Function

To determine the vision-related quality of life (VR-QOL) after surgery for macula-off rhegmatogenous retinal detachment (RRD) in relation to visual acuity, contrast acuity, and color vision.In a prospective observational study, we included 55 patients with a macula-off RRD. Best corrected visual acuity (BCVA), color vision (saturated and desaturated color confusion indices (CCI)) and contrast acuity were measured at 12 months postoperatively in both the RRD eye and the fellow control eye, and the 25-item National Eye Institute Visual Function Questionnaire (NEI VFQ-25) was filled out.Operated and fellow control eyes differed significantly in mean LogMAR BCVA (P<0.0001), median Log contrast acuity (P<0.0001), saturated CCI (P = 0.009), and desaturated CCI (P = 0.016). Significant correlations were observed between the NEI VFQ-25 overall composite score and postoperative LogMAR BCVA (R = -0.551, P<0.0001), contrast acuity (R = 0.472, P<0.0001), saturated CCI (R = -0.315, P = 0.023), and desaturated CCI (R = -0.283, P = 0.044).A lower VR-QOL was highly correlated to a worse postoperative BCVA and contrast acuity and to a lesser extent to color vision disturbances

Flock together with CReATIVE-B: A roadmap of global research data infrastructures supporting biodiversity and ecosystem science

Biodiversity research infrastructures are providing the integrated data sets and support for studying scenarios of biodiversity and ecosystem dynamics. The CReATIVE-B project - Coordination of Research e-Infrastructures Activities Toward an International Virtual Environment for Biodiversity – explored how cooperation and interoperability of large-scale Research Infrastructures across the globe could support the challenges of biodiversity and ecosystem research. A key outcome of the project is that the research infrastructures agreed to continue cooperation after the end of the project to advance scientific progress in understanding and predicting the complexity of natural systems. By working together in implementing the recommendations in this Roadmap, the data and capabilities of the cooperating research infrastructures are better served to address the grand challenges for biodiversity and ecosystem scientists