7 resultados para Anticipation

em Aston University Research Archive


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Several brain regions, including the primary and secondary somatosensory cortices (SI and SII, respectively), are functionally active during the pain experience. Both of these regions are thought to be involved in the sensory-discriminative processing of pain and recent evidence suggests that SI in particular may also be involved in more affective processing. In this study we used MEG to investigate the hypothesis that frequency-specific oscillatory activity may be differentially associated with the sensory and affective components of pain. In eight healthy participants (four male), MEG was recorded during a visceral pain experiment comprising baseline, anticipation, pain and post-pain phases. Pain was delivered via intraluminal oesophageal balloon distension (four stimuli at 1 Hz). Significant bilateral but asymmetrical changes in neural activity occurred in the beta-band within SI and SII. In SI, a continuous increase in neural activity occurred during the anticipation phase (20-30 Hz), which continued during the pain phase but at a lower frequency (10-15 Hz). In SII, oscillatory changes only occurred during the pain phase, predominantly in the 20-30 Hz beta band, and were coincident with the stimulus. These data provide novel evidence of functional diversity within SI, indicating a role in attentional and sensory aspects of pain processing. In SII, oscillatory changes were predominantly stimulus-related, indicating a role in encoding the characteristics of the stimulus. We therefore provide objective evidence of functional heterogeneity within SI and functional segregation between SI and SII, and suggest that the temporal and frequency dynamics within cortical regions may offer valuable insights into pain processing.

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Background The somatosensory cortex has been inconsistently activated in pain studies and the functional properties of subregions within this cortical area are poorly understood. To address this we used magnetoencephalography (MEG), a brain imaging technique capable of recording changes in cortical neural activity in real-time, to investigate the functional properties of the somatosensory cortex during different phases of the visceral pain experience. Methods In eight participants (4 male), 151-channel whole cortex MEG was used to detect cortical neural activity during 25 trials lasting 20 seconds each. Each trial comprised four separate periods of 5 seconds in duration. During each of the periods, different visual cues were presented, indicating that period 1=rest, period 2=anticipation, period 3=pain and period 4=post pain. During period 3, participants received painful oesophageal balloon distensions (four at 1 Hz). Regions of cortical activity were identified using Synthetic Aperture Magnetometry (SAM) and by the placement of virtual electrodes in regions of interest within the somatosensory cortex, time-frequency wavelet plots were generated. Results SAM analysis revealed significant activation with the primary (S1) and secondary (S2) somatosensory cortices. The time-frequency wavelet spectrograms showed that activation in S1 increased during the anticipation phase and continued during the presentation of the stimulus. In S2, activation was tightly time and phase-locked to the stimulus within the pain period. Activations in both regions predominantly occurred within the 10–15 Hz and 20–30 Hz frequency bandwidths. Discussion These data are consistent with the role of S1 and S2 in the sensory discriminatory aspects of pain processing. Activation of S1 during anticipation and then pain may be linked to its proposed role in attentional as well as sensory processing. The stimulus-related phasic activity seen in S2 demonstrates that this region predominantly encodes information pertaining to the nature and intensity of the stimulus.

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We investigate the integration of the European peripheral financial markets with Germany, France, and the UK using a combination of tests for structural breaks and return correlations derived from several multivariate stochastic volatility models. Our findings suggest that financial integration intensified in anticipation of the Euro, further strengthened by the EMU inception, and amplified in response to the 2007/2008 financial crisis. Hence, no evidence is found of decoupling of the equity markets in more troubled European countries from the core. Interestingly, the UK, despite staying outside the EMU, is not worse integrated with the GIPSI than Germany or France. © 2013 Elsevier B.V.

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Recent and potential changes in technology have resulted in the anticipation of increases in the frequency of job changes. This has led manpower policy makers to investigate the feasibility of incorporating the employment skills of job groups in the general prediction of future job learning and performance with a view to the establishment of "job families" within which transfer might be considered reciprocally high. A structured job analysis instrument (the Position Analysis Questionnaire) is evaluated in terms of two distinct sets of scores; job dimensions and synthetically established attribute/trait profiles. Studies demonstrate that estimates of a job's structure/dimensions and requisite human attributes can be reliably established. Three alternative techniques of statistically assembling profiles of the requisite human attributes for jobs are found to have differential levels of reliability and differential degrees of validity in their estimation of the "actual" ability requirements of jobs. The utility of these two sets of job descriptors to serve as representations of the cognitive structure similarity of job groups is investigated in a study which simulates a job transfer situation. The central role of the index of similarity used to assess the relationship between "target" and "present" job is demonstrated. The relative extents to which job structure similarity and job attribute similariity are associated with positive transfer are investigated. The studies demonstrate that the dimensions of jobs, and more fruitfully their requisite human attributes can serve as bases to predict job transfer learning and performance. The nature of the index of similarity used to optimally formulate predictions of transfer is such that networks of jobs might be establishable to which current job incumbents could be expected to transfer positively. The derivation of "job families" with anticipated reciprocal transfer consequences is considered to be less appropriate.

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Humans are especially good at taking another's perspective-representing what others might be thinking or experiencing. This "mentalizing" capacity is apparent in everyday human interactions and conversations. We investigated its neural basis using magnetoencephalography. We focused on whether mentalizing was engaged spontaneously and routinely to understand an utterance's meaning or largely on-demand, to restore "common ground" when expectations were violated. Participants conversed with 1 of 2 confederate speakers and established tacit agreements about objects' names. In a subsequent "test" phase, some of these agreements were violated by either the same or a different speaker. Our analysis of the neural processing of test phase utterances revealed recruitment of neural circuits associated with language (temporal cortex), episodic memory (e.g., medial temporal lobe), and mentalizing (temporo-parietal junction and ventromedial prefrontal cortex). Theta oscillations (3-7 Hz) were modulated most prominently, and we observed phase coupling between functionally distinct neural circuits. The episodic memory and language circuits were recruited in anticipation of upcoming referring expressions, suggesting that context-sensitive predictions were spontaneously generated. In contrast, the mentalizing areas were recruited on-demand, as a means for detecting and resolving perceived pragmatic anomalies, with little evidence they were activated to make partner-specific predictions about upcoming linguistic utterances.

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This time of year we look back at the year that has passed and make plans for the next year. I like to reflect on things that I have learnt and people that I have met, especially those who facilitated that learning. In 2009 I went to various conferences, The BCLA conference in Manchester, The Romanian Optical Society meeting in Brasov, Transylvania (where the university is actually on Vlad Tepes Street), The European Council for Optometry and Optics (ECOO) in Brno, Czech Republic, The American Academy of Optometry (AAO) in Orlando USA, The International Association of Contact Lens Educators (IACLE) meeting in Tianjin China and finally The Vereinigung Deutscher Contactlinsen-Spezialisten (VDCO) meeting in Jena. All were interesting places and thoroughly all were enjoyable conferences with their own highlights but I wanted to focus on Jena and one person I met there and his inspirational search for knowledge and the contributions he made in the field of contact lenses. Jena itself is a fascinating place and should be on the ‘must visit’ list of anyone involved in eye care. It is the birth place of Carl Zeiss of course and where he started his company. It is also the birth place of Ernst Abbe (physicist and optometrist and expert lens maker), and Otto Schott (chemist and technologist who made high quality glass. There are many road signs bearing witness to these famous pioneers. The optical museum is worth spending a few hours looking around too. I was invited to speak at the VDCO at the kind invitation from colleagues at the Jena School of Optometry, Professor Wolfgang Sickenberger and Professor Sebastian Marx. At this meeting I met 87-year-old Willi KAUE who was being awarded the Adolf Wilhelm Müller-Welt prize by the VDCO for contribution to contact lenses over his 60-year career. At the age of 15 Willi Kaue took up an apprenticeship to become an Optician in Germany in 1937. At this time he first heard about the scleral glass lenses made by the Carl Zeiss Company in Jena. This started his lifelong fascination which was to become his passion but not yet his career. During the war he was enlisted into military service but immediately after was back to his former career. In 1950 Willi corrected his own 3.5 dioptres of myopia with a plastic scleral lens. His fascination strengthened as for the first time he himself could experience a wider field of view than his spectacles gave him, less aberrations and less retinal minification. He also appreciated the fact that contact lenses did not cause pressure on the nose or ears and did not slide down his nose plus remained optically centred with his eye movements. He decided that form now on he would make fitting contact lenses his career. He travelled to London to learn more about contact lenses and how to fit them but initially did not find many willing teachers and to start with became largely self-taught. He wanted to know how to make scleral lenses. So far he only knew that pulverized polymethyl methacrylate (PMMA) was pressed and moulded. In 1951 he met Berlin optician Otto Marzock. He made his only scleral lenses from using military PMMA windshields. His process involved lathe cutting the lenses and resulted in lenses that were thinner than moulded ones. Willi developed a manufacturing method, using a rotary diamond drill, starting form the outer edge and towards the centre at a constant cut speed. This enabled him to make more reproducible lenses and in less time. His enthusiasm in the field was clear from the travels he made in the pursuit of advancement - travelling around Europe, South America, North America and Asia. In 1963 he visited George Nissel in Hemel Hempstead, England. Constantly thriving towards innovations Willi came across the new Naturalens from the USA made from HEMA at a congress in Marseille in 1969. Amongst his contributions to the field, was his own technique of fitting ocular prosthetics, using an alginate impression of the orbit. I was fortunate enough to have dinner with Willi Kaue and learnt more about his fascinating career through the patient interpreting skills of Hilmar Bussacker (the 2008 winner of the same award and the 2007 winner of the European Federation of the Contact Lens and IOL Industries Award). I look forward to 2010 with eager anticipation as to what I may learn and who I might meet!!! Copyright © 2009 British Contact Lens Association. Published by Elsevier Ltd. All rights reserved.

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When visual sensor networks are composed of cameras which can adjust the zoom factor of their own lens, one must determine the optimal zoom levels for the cameras, for a given task. This gives rise to an important trade-off between the overlap of the different cameras’ fields of view, providing redundancy, and image quality. In an object tracking task, having multiple cameras observe the same area allows for quicker recovery, when a camera fails. In contrast having narrow zooms allow for a higher pixel count on regions of interest, leading to increased tracking confidence. In this paper we propose an approach for the self-organisation of redundancy in a distributed visual sensor network, based on decentralised multi-objective online learning using only local information to approximate the global state. We explore the impact of different zoom levels on these trade-offs, when tasking omnidirectional cameras, having perfect 360-degree view, with keeping track of a varying number of moving objects. We further show how employing decentralised reinforcement learning enables zoom configurations to be achieved dynamically at runtime according to an operator’s preference for maximising either the proportion of objects tracked, confidence associated with tracking, or redundancy in expectation of camera failure. We show that explicitly taking account of the level of overlap, even based only on local knowledge, improves resilience when cameras fail. Our results illustrate the trade-off between maintaining high confidence and object coverage, and maintaining redundancy, in anticipation of future failure. Our approach provides a fully tunable decentralised method for the self-organisation of redundancy in a changing environment, according to an operator’s preferences.