320 citations · 1.7k across the 40 of their papers we have counts for
41 papers
The role of inhibitory neuronal variability in modulating phase diversity between coupled networks
Katiele V. P. Brito, Joana M. G. L. Silva, Claudio R. Mirasso +1
Neuronal heterogeneity, characterized by the presence of a multitude of spiking neuronal patterns, is a widespread phenomenon throughout the nervous system. In particular, the brai…
Ordinal analysis of lexical patterns
David Sanchez, Luciano Zunino, Juan De Gregorio +2
Words are fundamental linguistic units that connect thoughts and things through meaning. However, words do not appear independently in a text sequence. The existence of syntactic r…
Non trivial dynamics in the FizHugh-Rinzel model and non-homogeneous oscillatory-excitable reaction-diffusions systems
B. Ambrosio, M. A. Aziz-Alaoui, Argha Mondal +3
In this article, we discuss the dynamics of the 3-dimensional FitzHugh-Rinzel (FHR) model and a class of non-homogeneous FitzHugh-Nagumo (Nh-FHN) Reaction-Diffusion systems. The Nh…
Learn one size to infer all: Exploiting translational symmetries in delay-dynamical and spatio-temporal systems using scalable neural networks
Mirko Goldmann, Claudio R. Mirasso, Ingo Fischer +1
We design scalable neural networks adapted to translational symmetries in dynamical systems, capable of inferring untrained high-dimensional dynamics for different system sizes. We…
Microring resonators with external optical feedback for time delay reservoir computing
Giovanni Donati, Claudio R. Mirasso, Mattia Mancinelli +2
Microring resonators (MRRs) are a key photonic component in integrated devices, due to their small size, low insertion losses, and passive operation. While the MRRs have been estab…
Unveiling the role of plasticity rules in reservoir computing
Guillermo B. Morales, Claudio R. Mirasso, Miguel C. Soriano
Reservoir Computing (RC) is an appealing approach in Machine Learning that combines the high computational capabilities of Recurrent Neural Networks with a fast and easy training m…