Dendritic Slow Dynamics Enables Localized Cortical Activity to Switch between Mobile and Immobile Modes with Noisy Background Input

Mounting lines of evidence suggest the significant computational ability of a single neuron empowered by active dendritic dynamics. This motivates us to study what functionality can be acquired by a network of such neurons. The present paper studies how such rich single-neuron dendritic dynamics affects the network dynamics, a question which has scarcely been specifically studied to date. We simulate neurons with active dendrites networked locally like cortical pyramidal neurons, and find that naturally arising localized activity – called a bump – can be in two distinct modes, mobile or immobile. The mode can be switched back and forth by transient input to the cortical network. Interestingly, this functionality arises only if each neuron is equipped with the observed slow dendritic dynamics and with in vivo-like noisy background input. If the bump activity is considered to indicate a point of attention in the sensory areas or to indicate a representation of memory in the storage areas of the cortex, this would imply that the flexible mode switching would be of great potential use for the brain as an information processing device. We derive these conclusions using a natural extension of the conventional field model, which is defined by combining two distinct fields, one representing the somatic population and the other representing the dendritic population. With this tool, we analyze the spatial distribution of the degree of after-spike adaptation and explain how we can understand the presence of the two distinct modes and switching between the modes. We also discuss the possible functional impact of this mode-switching ability

25th Annual Computational Neuroscience Meeting: CNS-2016

Abstracts of the 25th Annual Computational Neuroscience Meeting: CNS-2016 Seogwipo City, Jeju-do, South Korea. 2–7 July 201

Epidemiological studies with environmental relevance in Germany

Unsere Umwelt beeinflusst Gesundheit und Wohlbefinden des Menschen, von der Geburt bis ins hohe Alter. In diesem Überblick werden die wichtigsten epidemiologischen Studien und Gesundheitsmonitoringsysteme in Deutschland erläutert, die unter anderem auch Umwelteinflüsse in verschiedenen Bevölkerungsgruppen untersuchen und Gesundheitseffekte abschätzen. Die darin jeweils untersuchten Umweltfaktoren werden beschrieben. Diese Studien an Kindern und Erwachsenen schaffen eine Basis für Vorhersagen und präventive Maßnahmen. Die hohe Anzahl der erfassten umweltbezogenen Faktoren und die Intensität ihrer Untersuchung unterscheiden sich in den Studien, ebenso wie die (phänotypische) Charakterisierung der Studienteilnehmenden. Dennoch bilden die gewonnenen Daten eine Grundlage für die zukünftige Forschungsarbeit. Hierzu ist allerdings eine flächendeckende dauerhafte Erfassung der Daten zu den verschiedenen Umweltfaktoren notwendig. Da der Anteil der in städtischen Gebieten lebenden Bevölkerung in Zukunft weiter steigen wird, werden Umweltfaktoren wie Luftverschmutzung, Lufttemperatur, Lärm, aber auch soziale Ungerechtigkeit zukünftig die Gesundheit und Lebensqualität der Bevölkerung maßgeblich beeinflussen. Die Herausforderung einer alternden Gesellschaft, aber auch die mögliche Adaptation der Bevölkerung an diverse Umweltstimuli machen einen multidisziplinären Ansatz erforderlich. Gerade aus umweltepidemiologischer Sicht sind hier die gesammelten Daten der in diesem Artikel aufgezeigten Kohortenstudien in Deutschland ein wertvoller Schatz, denn nur damit können Zusammenhänge zwischen Umwelteinflüssen und Gesundheit erforscht und public-health-relevante präventive Maßnahmen identifiziert werden. Die NAKO-Gesundheitsstudie, die in den kommenden Jahrzehnten die größte verfügbare Ressource für Gesundheitsdaten sein wird, sollte in zukünftige Aktivitäten zur Erforschung von Umwelteinflüssen eingebunden werden.Our environment is a major factor in determining health and well-being throughout life, from conception into old age. This overview illustrates the most important epidemiological studies and health monitoring systems in Germany, which investigate environmental influences in various population subgroups and estimate related health effects. Environmental factors examined in each study are described. The mentioned studies in children and adults build the basis for predictions and preventive measures. The number of the assessed environmental factors, the depth of the examinations as well as the (phenotypical) characterization of the study participants differ. Still, the obtained data build a base for important future research. However, for this, a permanent and Germany-wide assessment of environmental factors is necessary. The proportion of the European population living in urban areas is projected to increase in the future. Therefore, environmental factors such as air pollution, air temperature, and noise, but also social inequality, are likely to have a negative effect on health and quality of life of the population. The challenge of the aging population as well as potential adaptation processes to the diverse environmental stimuli requires multidisciplinary approaches. From an environmental epidemiology view, the collected data from the described studies are of immense value because only with this data can associations between environment and health be investigated and public health-relevant preventive measures be identified. The NAKO health study will be the largest resource of health data and should therefore be included in future activities related to the investigation of environmental health effects in Germany.Peer Reviewe