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To overcome these limitations, reverse engineering approaches of reconstructing circuit anatomy and synaptic wiring have been suggested (Markram 2006; Helmstaedter et al. 2007; Wickersham, Finke, et al. 2007; Wickersham, Lyon, et al. 2007).
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The initial interpretations are tested using a glaciological approach of reconstructing former glacier dynamics, and suggests that some of the terminal moraines observed reflect mountain glaciation prior to the Younger Dryas, and may demonstrate final stages of retreat from the Last Glacial Maximum (LGM).
The approach of reconstructing regulatory network and analyzing regulatory rewiring can be applied to comprehend the whole metabolism in Arabidopsis.
In addition to the average number of potential VPM synapses per cell, the present approach of reconstructing the 3D circuit structure at subcellular resolution allowed investigating the influence of dendrite morphology and soma location on thalamocortical connectivity.
In particular, we presented a series of simulated examples to show that this model improves the ability to localize brain activity compared to the approach of reconstructing each subject individually.
Further, following the experiment of Pinney et al. [ 18], we evaluate the performance of our approach on reconstructing the state of several ancestral network states of the bZIP family of proteins.
We present a novel approach capable of reconstructing α-helices and β-sheets in atomic detail.
In this work, we address the study of connectomics at the intermediate mesoscale, introducing a probabilistic approach capable of reconstructing complex topologies of large neuronal networks.
It aims at providing a relatively exhaustive review of the state-of-the-art approaches for reconstructing past conditions of the ocean.
Drawing inferences about the past from the ecology of living organisms is one of several approaches to reconstructing palaeo-environments.
The numerical experiments show that the proposed approach is capable of reconstructing a piecewise smooth surface with sharp edges from sparse range data corrupted with noise and outliers.
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