66 citations · 404 across the 39 of their papers we have counts for
42 papers
From Chaos to Synchrony in Recurrent Excitatory-Inhibitory Networks with Target-Specific Inhibition
Carles Martorell, Rubén Calvo, Alessia Annibale +1
Biological neural networks can operate in qualitatively distinct dynamical regimes, and transitions between these regimes are thought to underlie changes in computation and behavio…
Ergodicity Breaking and High-Dimensional Chaos in Random Recurrent Networks
Carles Martorell, Rubén Calvo, Adrián Roig +2
The neural model introduced by Sompolinsky, Crisanti, and Sommers (SCS) nearly four decades ago has become a paradigmatic framework for studying complex dynamics in random recurren…
Connected components in networks with higher-order interactions
Gyeong-Gyun Ha, Izaak Neri, Alessia Annibale
We address the problem of defining connected components in hypergraphs, which are models for systems with higher-order interactions. For graphs with dyadic interactions, connected…
Dynamically selected steady states and criticality in non-reciprocal networks
Carles Martorell, Rubén Calvo, Alessia Annibale +1
Diverse equilibrium systems with heterogeneous interactions lie at the edge of stability. Such marginally stable states are dynamically selected as the most abundant ones or as tho…
Unsupervised and Supervised learning by Dense Associative Memory under replica symmetry breaking
Linda Albanese, Andrea Alessandrelli, Alessia Annibale +1
Statistical mechanics of spin glasses is one of the main strands toward a comprehension of information processing by neural networks and learning machines. Tackling this approach,…
Clustering coefficients for networks with higher order interactions
Gyeong-Gyun Ha, Izaak Neri, Alessia Annibale
We introduce a clustering coefficient for nondirected and directed hypergraphs, which we call the quad clustering coefficient. We determine the average quad clustering coefficient…