Diego Pazó

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Assistant professor

Universidad de Cantabria

Spain

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About

Diego Pazó is an Assistant Professor at Universidad de Cantabria in Spain. His research focuses on complex dynamical systems, specifically in the areas of chaotic dynamics, phase oscillators, and neuron modeling. Recent articles authored by Professor Pazó explore topics such as the Kuramoto model, spiking neuron dynamics, and transitions to chaos within neural networks.

Recent Grants

Grant: Close

Redes de modelos de neuronas con desorden: Conectando las escalas micro, meso y macro

Open Date: 2022-09-01

Close Date: 2026-08-01

Grant: Close

VARIABILIDAD Y CONFIABILIDAD EN SISTEMAS CAOTICOS DE ALTA DIMENSION

Open Date: 2016-12-01

Close Date: 2020-12-01

Articles (17)

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2020

Collaborators (2)

Rafael Gallego

Profesor Titular de Universidad

University of Oviedo

SPAIN

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Ernest Montbrió

Associate Professor

Universitat Pompeu Fabra

SPAIN

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Diego Pazó

Research Interests

Explore related searches

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About

Recent Grants

Articles (17)

Dynamics and chaotic properties of the fully disordered Kuramoto model

Low-dimensional dynamics of globally coupled complex Riccati equations: Exact firing-rate equations for spiking neurons with clustered substructure

Discontinuous transition to chaos in a canonical random neural network

Discontinuous transition to chaos in a canonical random neural network

Quasi-integrable Arrays: The Family Grows

Volcano transition in populations of phase oscillators with random nonreciprocal interactions

Volcano transition in populations of phase oscillators with random nonreciprocal interactions

Efficient moment-based approach to the simulation of infinitely many heterogeneous phase oscillators

Enlarged Kuramoto model: Secondary instability and transition to collective chaos

Enlarged Kuramoto model: Secondary instability and transition to collective chaos

Comment on "The Winfree model with non-infinitesimal phase-response curve: Ott-Antonsen theory" [Chaos 30, 073139 (2020)]

Nonuniversal large-size asymptotics of the Lyapunov exponent in turbulent globally coupled maps

Nonuniversal large-size asymptotics of the Lyapunov exponent in turbulent globally coupled maps

Exact Mean-Field Theory Explains the Dual Role of Electrical Synapses in Collective Synchronization

Quasi phase reduction of all-to-all strongly coupled λ − ω oscillators near incoherent states

The probabilistic backbone of data-driven complex networks: an example in climate

The Winfree model with non-infinitesimal phase-response curve: Ott-Antonsen theory

Collaborators (2)

Rafael Gallego

Ernest Montbrió

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