P
Paolo Massobrio
Researcher at University of Genoa
Publications - 94
Citations - 2607
Paolo Massobrio is an academic researcher from University of Genoa. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 23, co-authored 85 publications receiving 2153 citations. Previous affiliations of Paolo Massobrio include Istituto Italiano di Tecnologia.
Papers
More filters
Journal ArticleDOI
Self-organization and neuronal avalanches in networks of dissociated cortical neurons.
Valentina Pasquale,Paolo Massobrio,Luca Leonardo Bologna,Michela Chiappalone,Sergio Martinoia +4 more
TL;DR: It is found that networks of dissociated cortical neurons also generate spontaneous events of spreading activity, previously observed in cortical slices, in the form of neuronal avalanches, which preserve their capability to self-organize in an effective network even when dissociated and cultured in vitro.
Journal ArticleDOI
A novel algorithm for precise identification of spikes in extracellularly recorded neuronal signals.
Alessandro Maccione,Mauro Gandolfo,Paolo Massobrio,Antonio Novellino,Sergio Martinoia,Michela Chiappalone +5 more
TL;DR: A novel spike detection algorithm, named Precise Timing Spike Detection (PTSD), aimed at reducing the number of false positives and false negatives, in order to optimize the rate code, and improving the time precision of the identified spike, in terms of efficiency and precision is presented.
Journal ArticleDOI
Evaluation of the Performance of Information Theory-Based Methods and Cross-Correlation to Estimate the Functional Connectivity in Cortical Networks
TL;DR: Transfer Entropy and Joint-Entropy showed the best results suggesting those methods as good candidates to extract functional links in actual neuronal networks from multi-site recordings.
Journal ArticleDOI
Network dynamics of 3D engineered neuronal cultures: a new experimental model for in-vitro electrophysiology
TL;DR: A new experimental paradigm constituted by 3D hippocampal networks coupled to Micro-Electrode-Arrays (MEAs) is presented and it is shown how the features of the recorded network dynamics differ from the corresponding 2D network model.
Journal ArticleDOI
Network plasticity in cortical assemblies.
TL;DR: Large in vitro cortical assemblies display long‐term network potentiation, a mechanism considered to be involved in the memory formation at cellular level, and could represent a relevant step towards understanding plastic properties at the neuronal population level.