activity
20232026
most citedDynamically selected steady states and criticality in non-reciprocal networks

12 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

cond-mat.dis-nn2026

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…

cond-mat.dis-nn2025

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…

q-bio.NC2025★ 2 cited

Robust Scaling in Human Brain Dynamics Despite Latent Variables and Limited Sampling Distortions

Rubén Calvo, Carles Martorell, Adrián Roig +1

The idea that information-processing systems operate near criticality to enhance computational performance is supported by scaling signatures in brain activity. However, external s…

q-bio.NC2024

Frequency-dependent covariance reveals critical spatio-temporal patterns of synchronized activity in the human brain

Rubén Calvo, Carles Martorell, Guillermo B. Morales +2

Recent analyses combining advanced theoretical techniques and high-quality data from thousands of simultaneously recorded neurons provide strong support for the hypothesis that neu…

cond-mat.dis-nn2023★ 12 cited

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…