2 Works
Data from: Computing the local field potential (LFP) from integrate-and-fire network models
Alberto Mazzoni, Henrik Anders Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute Tomas Einevoll & Henrik Lindén
Leaky integrate-and-fire (LIF) network models are commonly used to study how the spiking dynamics of neural networks changes with stimuli, tasks or dynamic network states. However, neurophysiological studies in vivo often rather measure the mass activity of neuronal microcircuits with the local field potential (LFP). Given that LFPs are generated by spatially separated currents across the neuronal membrane, they cannot be computed directly from quantities defined in models of point-like LIF neurons. Here, we explore...
Data from: Evidence of divergent selection for drought and cold tolerance at landscape and local scales in Abies alba Mill. in the French Mediterranean Alps
Anna M. Roschanski, Katalin Csilléry, Sascha Liepelt, Sylvie Oddou-Muratorio, Birgit Ziegenhagen, Frédéric Huard, Kristian K. Ullrich, Dragos Postolache, Giovanni G. Vendramin & Bruno Fady
Understanding local adaptation in forest trees is currently a key research and societal priority. Geographically and ecologically marginal populations provide ideal case studies, because environmental stress along with reduced gene flow can facilitate the establishment of locally adapted populations. We sampled European silver fir (Abies alba Mill.) trees in the French Mediterranean Alps, along the margin of its distribution range, from pairs of high and low elevation plots on four different mountains situated along a...
Affiliations
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Sant'Anna School of Advanced Studies2
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Ernst Strüngmann Institute for Neuroscience1
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Institute of Biosciences and Bioresources1
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French National Institute for Agricultural Research1
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Royal Institute of Technology1
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Ecologie des Forêts Méditerranéennes1
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University of Copenhagen1
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Forest Research1
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Italian Institute of Technology1
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Norwegian University of Life Sciences1