A topological study of repetitive co-activation networks in in vitro cortical assemblies

V Pirino, E Riccomagno, S Martinoia… - Physical …, 2015 - iopscience.iop.org
To address the issue of extracting useful information from large data-set of large scale
networks of neurons, we propose an algorithm that involves both algebraic-statistical and …

A topological study of repetitive co-activation networks in in vitro cortical assemblies

V Pirino, E Riccomagno, S Martinoia… - Physical …, 2015 - pubmed.ncbi.nlm.nih.gov
To address the issue of extracting useful information from large data-set of large scale
networks of neurons, we propose an algorithm that involves both algebraic-statistical and …

[引用][C] A topological study of repetitive co-activation networks inin vitrocortical assemblies

V Pirino, E Riccomagno, S Martinoia, P Massobrio - Physical Biology, 2015 - cir.nii.ac.jp
A topological study of repetitive co-activation networks in<i>in vitro</i>cortical assemblies |
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A topological study of repetitive co-activation networks in in vitro cortical assemblies

V Pirino, S Martinoia, P Massobrio… - Physical Biology …, 2015 - inis.iaea.org
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A topological study of repetitive co-activation networks in in vitro cortical assemblies.

V Pirino, E Riccomagno, S Martinoia… - Physical Biology, 2015 - europepmc.org
To address the issue of extracting useful information from large data-set of large scale
networks of neurons, we propose an algorithm that involves both algebraic-statistical and …

A topological study of repetitive co-activation networks in in vitro cortical assemblies

V Pirino, E Riccomagno, S Martinoia… - Physical …, 2015 - ui.adsabs.harvard.edu
To address the issue of extracting useful information from large data-set of large scale
networks of neurons, we propose an algorithm that involves both algebraic-statistical and …

[PDF][PDF] A topological study of repetitive co-activation networks inin vitro cortical assemblies

V Pirino, E Riccomagno, S Martinoia, P Massobrio - Phys. Biol, 2015 - researchgate.net
To address the issue of extracting useful information from large data-set of large scale
networks of neurons, we propose an algorithm that involves both algebraic-statistical and …