activity
19972023
most citedColloquium: Criticality and dynamical scaling in living systems

569 citations · 6.9k across the 127 of their papers we have counts for

collaborators

130 papers

cond-mat.stat-mech2023

Unveiling the intrinsic dynamics of biological and artificial neural networks: from criticality to optimal representations

Guillermo B. Morales, Serena Di Santo, Miguel A. Muñoz

Deciphering the underpinnings of the dynamical processes leading to information transmission, processing, and storing in the brain is a crucial challenge in neuroscience. An inspir…

q-bio.PE2023

Stochastic trade-offs and the emergence of diversification in E. coli evolution experiments

Roberto Corral López, Samir Suweis, Sandro Azaele +1

Laboratory experiments with bacterial colonies, under well-controlled conditions often lead to evolutionary diversification, where at least two ecotypes emerge from an initially mo…

q-bio.PE2023★ 41 cited

Sparse species interactions reproduce abundance correlation patterns in microbial communities

José Camacho-Mateu, Aniello Lampo, Matteo Sireci +2

During the last decades macroecology has identified broad-scale patterns of abundances and diversity of microbial communities and put forward some potential explanations for them.…

cond-mat.stat-mech2023

Unconventional criticality, scaling breakdown, and diverse universality classes in the Wilson-Cowan model of neural dynamics

Helena Christina Piuvezam, Bóris Marin, Mauro Copelli +1

The Wilson-Cowan model constitutes a paradigmatic approach to understanding the collective dynamics of networks of excitatory and inhibitory units. It has been profusely used in th…

cond-mat.stat-mech2022

Anomalous finite-size scaling in higher-order processes with absorbing states

Alessandro Vezzani, Miguel A. Muñoz, Raffaella Burioni

We study standard and higher-order birth-death processes on fully connected networks, within the perspective of large-deviation theory (also referred to as Wentzel-Kramers-Brilloui…

q-bio.NC2022★ 1 cited

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

Benjamin Cramer, Markus Kreft, Sebastian Billaudelle +9

A unique feature of neuromorphic computing is that memory is an implicit part of processing through traces of past information in the system's collective dynamics. The extent of me…