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Título:
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Efficient combination of pairwise feature networks
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Autor/a:
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Bellot Pujalte, Pau; Meyer, Patrick E.
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions |
Abstract:
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This paper presents a novel method for the reconstruction of a neural network connectivity
using calcium fluorescence data. We introduce a fast unsupervised method to integrate different
networks that reconstructs structural connectivity from neuron activity. Our method
improves the state-of-the-art reconstruction method General Transfer Entropy (GTE). We
are able to better eliminate indirect links, improving therefore the quality of the network
via a normalization and ensemble process of GTE and three new informative features. The
approach is based on a simple combination of networks, which is remarkably fast. The
performance of our approach is benchmarked on simulated time series provided at the
connectomics challenge and also submitted at the public competition |
Abstract:
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Peer Reviewed |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Neural networks (Computer science) -Network reconstruction algorithms -Elimination of indirect links -Connectomes -Xarxes neuronals (Informàtica) |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Objeto de conferencia |
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