996 research outputs found

    Attractor Metadynamics in Adapting Neural Networks

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    Slow adaption processes, like synaptic and intrinsic plasticity, abound in the brain and shape the landscape for the neural dynamics occurring on substantially faster timescales. At any given time the network is characterized by a set of internal parameters, which are adapting continuously, albeit slowly. This set of parameters defines the number and the location of the respective adiabatic attractors. The slow evolution of network parameters hence induces an evolving attractor landscape, a process which we term attractor metadynamics. We study the nature of the metadynamics of the attractor landscape for several continuous-time autonomous model networks. We find both first- and second-order changes in the location of adiabatic attractors and argue that the study of the continuously evolving attractor landscape constitutes a powerful tool for understanding the overall development of the neural dynamics

    Maximising Social Interactions and Effectiveness within Distance Learning Courses: Cases from Construction

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    Advanced Internet technologies have revolutionised the delivery of distance learning education. As a result, the physical proximity between learners and the learning providers has become less important. However, whilst the pervasiveness of these technological developments has reached unprecedented levels, critics argue that the student learning experience is still not as effective as conventional face-to-face delivery. In this regard, surveys of distance learning courses reveal that there is often a lack of social interaction attributed to this method of delivery, which tends to leave learners feeling isolated due to a lack of engagement, direction, guidance and support by the tutor. This paper defines and conceptualises this phenomenon by investigating the extent to which distance-learning programmes provide the social interactions of an equivalent traditional classroom setting. In this respect, two distance learning case studies were investigated, covering the UK and Slovenian markets respectively. Research findings identified that delivery success is strongly dependent on the particular context to which the specific distance learning course is designed, structured and augmented. It is therefore recommended that designers of distance learning courses should balance the tensions and nuances associated with commercial viability and pedagogic effectiveness

    Cerebral blood flow predicts differential neurotransmitter activity

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    Application of metabolic magnetic resonance imaging measures such as cerebral blood flow in translational medicine is limited by the unknown link of observed alterations to specific neurophysiological processes. In particular, the sensitivity of cerebral blood flow to activity changes in specific neurotransmitter systems remains unclear. We address this question by probing cerebral blood flow in healthy volunteers using seven established drugs with known dopaminergic, serotonergic, glutamatergic and GABAergic mechanisms of action. We use a novel framework aimed at disentangling the observed effects to contribution from underlying neurotransmitter systems. We find for all evaluated compounds a reliable spatial link of respective cerebral blood flow changes with underlying neurotransmitter receptor densities corresponding to their primary mechanisms of action. The strength of these associations with receptor density is mediated by respective drug affinities. These findings suggest that cerebral blood flow is a sensitive brain-wide in-vivo assay of metabolic demands across a variety of neurotransmitter systems in humans

    Addressing inactivity after stroke: The Collaborative Rehabilitation in Acute Stroke (CREATE) study.

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    BACKGROUND: Stroke patients are often inactive outside of structured therapy sessions - an enduring international challenge despite large scale organizational changes, national guidelines and performance targets. We examined whether experienced-based co-design (EBCD) - an improvement methodology - could address inactivity in stroke units. AIMS: To evaluate the feasibility and impact of patients, carers, and staff co-designing and implementing improvements to increase supervised and independent therapeutic patient activity in stroke units and to compare use of full and accelerated EBCD cycles. METHODS: Mixed-methods case comparison in four stroke units in England. RESULTS: Interviews were held with 156 patients, staff, and carers in total; ethnographic observations for 364 hours, behavioral mapping of 68 patients, and self-report surveys from 179 patients, pre- and post-implementation of EBCD improvement cycles.Three priority areas emerged: (1) 'Space' (environment); (2) 'Activity opportunities' and (3) 'Communication'. More than 40 improvements were co-designed and implemented to address these priorities across participating units. Post-implementation interview and ethnographic observational data confirmed use of new social spaces and increased activity opportunities. However, staff interactions remained largely task-driven with limited focus on enabling patient activity. Behavioral mapping indicated some increases in social, cognitive, and physical activity post-implementation, but was variable across sites. Survey responses rates were low at 12-38% and inconclusive. CONCLUSION: It was feasible to implement EBCD in stroke units. This resulted in multiple improvements in stroke unit environments and increased activity opportunities but minimal change in recorded activity levels. There was no discernible difference in experience or outcome between full and accelerated EBCD; this methodology could be used across hospital stroke units to assist staff and other stakeholders to co-design and implement improvement plans

    Avoiding catastrophic failure in correlated networks of networks

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    Networks in nature do not act in isolation but instead exchange information, and depend on each other to function properly. An incipient theory of Networks of Networks have shown that connected random networks may very easily result in abrupt failures. This theoretical finding bares an intrinsic paradox: If natural systems organize in interconnected networks, how can they be so stable? Here we provide a solution to this conundrum, showing that the stability of a system of networks relies on the relation between the internal structure of a network and its pattern of connections to other networks. Specifically, we demonstrate that if network inter-connections are provided by hubs of the network and if there is a moderate degree of convergence of inter-network connection the systems of network are stable and robust to failure. We test this theoretical prediction in two independent experiments of functional brain networks (in task- and resting states) which show that brain networks are connected with a topology that maximizes stability according to the theory.Comment: 40 pages, 7 figure

    The littoral sea cucumbers (Echinodermata: Holothuroidea) of Guam re-assessed - a diversity curve that still does not asymptote

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    The Micronesian island of Guam has been an important site for the study of littoral tropical holothuriantaxonomy for almost 200 years. Despite substantial attention by both expeditions and resident taxonomists, new records arestill regularly added to the fauna, demonstrating the challenge of documenting even such large and well-known animals ina small hyper-diverse area. Guam is the type locality of species described by Quoy & Gaimard (1833) and Brandt (1835).A survey of the sea cucumber fauna by Rowe & Doty (1977) led to one of the most used guides for the identification oftropical Pacific sea cucumbers because of the color illustrations of living animals it presented. Focus on echinodermsincluding holothurians continued with numerous new records added in the following decades. Paulay (2003a) summarizedthe fauna last, recording 46-47 species. At this stage the fauna was thought to be well documented. A week-long workshopon holothurian systematics sponsored by the National Science Foundation PEET (Partnerships for Enhancing Expertise inTaxonomy) project in 2010 included a substantial field work component, sampling both during the day and night, withsnorkeling and SCUBA, across a variety of habitats. This survey yielded 40 species, including numerous new records andeven species. Further sampling by Kerr’s lab since the workshop has added additional records. The littoral holothuroidfauna of Guam now comprises 65 species in 17 genera and 7 families. Half of the 19 newly recorded species are the resultof unravelling cryptic species in complexes, the other half are based on new collections. Eleven species are known fromsingle specimens, suggesting that much still remains to be learned about the fauna
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