(Nicht-)Nutzung, Transfer, Verbreitung und Nachhaltigkeit von Gesundheitstechnologien: Deutsche Version des NASSS-Frameworks

Der Beitrag stellt eine autorisierte deutschsprachige Übersetzung des NASSS-Frameworks (Greenhalgh et al. 2017) vor

Lessons Learned: The Multifaceted Field of (Digital) Neighborhood Development

In a cross-national project, 14 neighborhoods from Germany, Austria and Switzerland were accompanied on their way to digitally supported neighborhood work. This paper discusses general requirements, choosing a suitable digital tool, the implementation process as well as the challenges faced by the various stakeholders. The following factors have been found to play a major role in sustainable neighborhood work: good fit with overall development strategy, interplay between online neighborhood work and physical interactions, strong existing neighborhood management structures, strategic planning of digitalization activities, start-up funding for innovation activities, and above all, the presence of a committed person or team as well as interesting content to attract users. Depending on the neighborhood, self-managed and individualistic solutions are preferred to generic and/or commercial solutions. There is no ‘fit-for-all’ path to sustainable digitally supported neighborhoods

Effekte und Nutzen altersgerechter Assistenzsysteme (ENAS): Leitfaden für die Planung und Durchführung von Studien zur Evaluation neuer technischer Assistenzsysteme in Forschungs- und Entwicklungsprojekten

Dieser Leitfaden entstand im Rahmen des Projektes ENAS („Effekte und Nutzen altersgerechter Assistenzsysteme – praktikable Vorgehensmodelle, Evaluationsmethoden und Werkzeuge“), welches durch das Bundesministerium für Bildung und Forschung (BMBF) gefördert wurde. Dieser Leitfaden soll Akteuren in konkreten Forschungs- und Entwicklungsprojekten im Bereich der Mensch-Technik-Interaktion zur Unterstützung von Menschen mit Hilfsbedarf eine Orientierungshilfe zur Verfügung stellen

25th annual computational neuroscience meeting: CNS-2016

The same neuron may play different functional roles in the neural circuits to which it belongs. For example, neurons in the Tritonia pedal ganglia may participate in variable phases of the swim motor rhythms [1]. While such neuronal functional variability is likely to play a major role the delivery of the functionality of neural systems, it is difficult to study it in most nervous systems. We work on the pyloric rhythm network of the crustacean stomatogastric ganglion (STG) [2]. Typically network models of the STG treat neurons of the same functional type as a single model neuron (e.g. PD neurons), assuming the same conductance parameters for these neurons and implying their synchronous firing [3, 4]. However, simultaneous recording of PD neurons shows differences between the timings of spikes of these neurons. This may indicate functional variability of these neurons. Here we modelled separately the two PD neurons of the STG in a multi-neuron model of the pyloric network. Our neuron models comply with known correlations between conductance parameters of ionic currents. Our results reproduce the experimental finding of increasing spike time distance between spikes originating from the two model PD neurons during their synchronised burst phase. The PD neuron with the larger calcium conductance generates its spikes before the other PD neuron. Larger potassium conductance values in the follower neuron imply longer delays between spikes, see Fig. 17.Neuromodulators change the conductance parameters of neurons and maintain the ratios of these parameters [5]. Our results show that such changes may shift the individual contribution of two PD neurons to the PD-phase of the pyloric rhythm altering their functionality within this rhythm. Our work paves the way towards an accessible experimental and computational framework for the analysis of the mechanisms and impact of functional variability of neurons within the neural circuits to which they belong