نتایج جستجو برای: erns

تعداد نتایج: 194  

Journal: :Veterinary microbiology 2012
Robert Fux Georg Wolf

Infections with bovine viral diarrhoea virus (BVDV) cause substantial economic losses to cattle industries. Rapid detection of persistently BVDV infected (PI) calves is of utmost importance for the efficacy of BVDV control programs. Blood and ear skin biopsy samples are conveniently used for early mass screening of newborns. However, little is known about the impact of colostral antibodies on t...

2012
Kate Bushby

The establishment of European Reference Networks as laid out under the Cross Border Health Care Directive (CBHCD) is a major opportunity for the rare disease community. There have been many successful networks for rare disease groups, but their establishment has been ad hoc and funding streams variable. Sustainability has been a major challenge. Although the assessment of the quality of these n...

Journal: :Advances in image and video technology : Pacific Rim Symposium, PSIVT ... proceedings. IEEE Pacific Rim Symposium on Image and Video Technology 2011
Nagesh Adluru Moo K. Chung Nicholas T. Lange Janet E. Lainhart Andrew L. Alexander

"Is the brain 'wiring' different between groups of populations?" is an increasingly important question with advances in diffusion MRI and abundance of network analytic tools. Recently, automatic, data-driven and computationally efficient framework for extracting brain networks using tractography and epsilon neighborhoods were proposed in the diffusion tensor imaging (DTI) literature [1]. In thi...

2003
Clay B. Holroyd Sander Nieuwenhuis Nick Yeung Jonathan D. Cohen

The error-related negativity (ERN) is a negative de£ection in the event-related brain potential associated with error processing. A recent theory holds that the ERN is elicited by the impact of a reward prediction error signal carried by the mesencephalic dopamine system on anterior cingulate cortex. The theory predicts that larger ERNs shouldbe elicitedbyunexpectedunfavorable outcomes than by ...

Journal: :Biological Psychology 2016
Yuya Maruo Annekathrin Schacht Werner Sommer Hiroaki Masaki

Affect and motivation influence the error-related negativity (ERN) elicited by full errors; however, it is unknown whether they also influence ERNs to correct responses accompanied by covert incorrect response activation (partial errors). Here we compared a neutral condition with conditions, where correct responses were rewarded or where incorrect responses were punished with gains and losses o...

Journal: :Psychological science 2004
David M Amodio Eddie Harmon-Jones Patricia G Devine John J Curtin Sigan L Hartley Alison E Covert

We examined the hypothesis that unintentional race-biased responses may occur despite the activation of neural systems that detect the need for control. Participants completed a sequential priming task that induced race-biased responses on certain trials while electroencephalography was recorded. The error-related negativity (ERN) wave, a component of the event-related potential with an anterio...

2017
Véronique Héon-Klin

With the Cross-Border Healthcare Directive (2011/24/EU) a mandatory framework was established to foster cooperation on a voluntary basis, within European Reference Networks (ERNs). These networks are composed of centres and healthcare providers. The exchange of knowledge is a central issue in this context. A detailed literature survey was carried out to determine the most important factors affe...

Journal: :Neuroreport 2003
Clay B Holroyd Sander Nieuwenhuis Nick Yeung Jonathan D Cohen

The error-related negativity (ERN) is a negative deflection in the event-related brain potential associated with error processing. A recent theory holds that the ERN is elicited by the impact of a reward prediction error signal carried by the mesencephalic dopamine system on anterior cingulate cortex. The theory predicts that larger ERNs should be elicited by unexpected unfavorable outcomes tha...

Journal: :CoRR 2017
Mitra Baratchi Geert Heijenk Maarten van Steen

In this paper, we address the problem of how automated situationawareness can be achieved by learning real-world situations from ubiquitously generated mobility data. Without semantic input about the time and space where situations take place, this turns out to be a fundamental challenging problem. Uncertainties also introduce technical challenges when data is generated in irregular time interv...

Journal: :CoRR 2017
Anna Sapienza Alessandro Bessi Emilio Ferrara

Multiplayer online baŠle arena has become a popular game genre. It also received increasing aŠention from our research community because they provide a wealth of information about human interactions and behaviors. A major problem is extracting meaningful paŠerns of activity from this type of data, in a way that is also easy to interpret. Here, we propose to exploit tensor decomposition techniqu...

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