2 Works
Data from: Serendipitous meta-transcriptomics: the fungal community of Norway spruce (Picea abies)
Nicolas Delhomme, Görel Sundström, Neda Zamani, Henrik Lantz, Yao-Cheng Lin, Torgeir R. Hvidsten, Marc P. Höppner, Patric Jern, Yves Van De Peer, Joakim Lundeberg, Manfred G. Grabherr & Nathaniel R. Street
After performing de novo transcript assembly of >1 billion RNA-Sequencing reads obtained from 22 samples of different Norway spruce (Picea abies) tissues that were not surface sterilized, we found that assembled sequences captured a mix of plant, lichen, and fungal transcripts. The latter were likely expressed by endophytic and epiphytic symbionts, indicating that these organisms were present, alive, and metabolically active. Here, we show that these serendipitously sequenced transcripts need not be considered merely as...
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...
Affiliations
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Royal Institute of Technology2
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Norwegian University of Life Sciences2
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Ghent University1
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University of Pretoria1
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Ernst Strüngmann Institute for Neuroscience1
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Sant'Anna School of Advanced Studies1
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University of Copenhagen1
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Italian Institute of Technology1
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Uppsala University1
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Goethe University Frankfurt1