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...

Registration Year

  • 2015
    2

Resource Types

  • Dataset
    2

Affiliations

  • Sant'Anna School of Advanced Studies
    2
  • Ernst Strüngmann Institute for Neuroscience
    1
  • Institute of Biosciences and Bioresources
    1
  • French National Institute for Agricultural Research
    1
  • Royal Institute of Technology
    1
  • Ecologie des Forêts Méditerranéennes
    1
  • University of Copenhagen
    1
  • Forest Research
    1
  • Italian Institute of Technology
    1
  • Norwegian University of Life Sciences
    1