Joaquín J. Torres

Frontiers Comput. Neurosci., 2022

2021

Growth strategy determines the memory and structural properties of brain networks.

[BibT_eX]

[DOI]

Neural Networks, 2021

Special Issue on Emergent Effects in Stochastic Neural Networks with Application to Learning and Information Processing.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Topological synchronization: explosive transition and rhythmic phase.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Chimera states in hybrid coupled neuron populations.

[BibT_eX]

[DOI]

Neural Networks, 2020

Temporal discrimination from the interaction between dynamic synapses and intrinsic subthreshold oscillations.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Simplicial complexes: higher-order spectral dimension and dynamics.

[BibT_eX]

[DOI]

Ginestra Bianconi

CoRR, 2020

A theoretical description of <i>inverse stochastic resonance</i> in nature.

[BibT_eX]

[DOI]

Muhammet Uzuntarla

Commun. Nonlinear Sci. Numer. Simul., 2020

Emergence and interpretation of oscillatory behaviour similar to brain waves and rhythms.

[BibT_eX]

[DOI]

Javier A. Galadí

Commun. Nonlinear Sci. Numer. Simul., 2020

2019

Synchronization-induced spike termination in networks of bistable neurons.

[BibT_eX]

[DOI]

Neural Networks, 2019

How Memory Conforms to Brain Development.

[BibT_eX]

[DOI]

Ana P. Millán

Frontiers Comput. Neurosci., 2019

Explosive higher-order Kuramoto dynamics on simplicial complexes.

[BibT_eX]

[DOI]

Ana P. Millán

Ginestra Bianconi

CoRR, 2019

2017

Inverse stochastic resonance in networks of spiking neurons.

[BibT_eX]

[DOI]

Muhammet Uzuntarla

Ernest Barreto

PLoS Comput. Biol., 2017

2016

Emergence of low noise frustrated states in E/I balanced neural networks.

[BibT_eX]

[DOI]

Ibon Recio

Neural Networks, 2016

2014

Perceptron Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Hopfield Network.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

2013

Emerging phenomena in neural networks with dynamic synapses and their computational implications.

[BibT_eX]

[DOI]

Hilbert J. Kappen

Frontiers Comput. Neurosci., 2013

2012

Modeling Biological Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Handbook of Natural Computing, 2012

2010

Excitable Networks: nonequilibrium Criticality and Optimum Topology.

[BibT_eX]

[DOI]

Sebastiano de Franciscis

Samuel Johnson

Int. J. Bifurc. Chaos, 2010

Enhancing neural-network performance via assortativity

[BibT_eX]

[DOI]

Sebastiano de Franciscis

Samuel Johnson

CoRR, 2010

2009

Maximum Memory Capacity on Neural Networks with Short-Term Synaptic Depression and Facilitation.

[BibT_eX]

[DOI]

Jorge F. Mejías

Neural Comput., 2009

Chaos in Heterogeneous Networks with Temporally inert Nodes.

[BibT_eX]

[DOI]

Sebastiano de Franciscis

Int. J. Bifurc. Chaos, 2009

Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Development of Neural Network Structure with Biological Mechanisms.

[BibT_eX]

[DOI]

Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

2008

Instabilities in attractor networks with fast synaptic fluctuations and partial updating of the neurons activity.

[BibT_eX]

[DOI]

Neural Networks, 2008

The role of synaptic facilitation in spike coincidence detection.

[BibT_eX]

[DOI]

Jorge F. Mejías

J. Comput. Neurosci., 2008

2007

Chaotic hopping between attractors in neural networks.

[BibT_eX]

[DOI]

Neural Networks, 2007

Competition Between Synaptic Depression and Facilitation in Attractor Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 2007

Attractor neural networks with activity-dependent synapses: The role of synaptic facilitation.

[BibT_eX]

[DOI]

Neurocomputing, 2007

Improvement of spike coincidence detection with facilitating synapses.

[BibT_eX]

[DOI]

Jorge F. Mejías

Neurocomputing, 2007

Networks with heterogeneously weighted connections and partial synchronization of nodes.

[BibT_eX]

[DOI]

Comput. Phys. Commun., 2007

Control of neural chaos by synaptic noise.

[BibT_eX]

[DOI]

Biosyst., 2007

2006

Effects of Fast Presynaptic Noise in Attractor Neural Networks.

[BibT_eX]

[DOI]

Neural Comput., 2006

2005

Interacting Slow and Fast Dynamics in Precise Spiking-Bursting Neurons.

[BibT_eX]

[DOI]

Fabiano Baroni

Proceedings of the Mechanisms, 2005

Instability of Attractors in Auto-associative Networks with Bio-inspired Fast Synaptic Noise.

[BibT_eX]

[DOI]

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2004

Influence of topology on the performance of a neural network.

[BibT_eX]

[DOI]

Neurocomputing, 2004

Switching between memories in neural automata with synaptic noise.

[BibT_eX]

[DOI]

Neurocomputing, 2004

2002

Associative Memory with Dynamic Synapses.

[BibT_eX]

[DOI]

Neural Comput., 2002

Spatio-temporal patterns of network activity in the inferior olive.

[BibT_eX]

[DOI]

Carlos Aguirre

Henry D. I. Abarbanel

Mikhail I. Rabinovich

Neurocomputing, 2002

2001

Regularization mechanisms of spiking-bursting neurons.

[BibT_eX]

[DOI]

Ramón Huerta

Henry D. I. Abarbanel

Mikhail I. Rabinovich

Neural Networks, 2001

On the role of dynamical synapses in coincidence detection.

[BibT_eX]

[DOI]

Lovorka Pantic

Hilbert J. Kappen

Neurocomputing, 2001

Dynamics of two electrically coupled chaotic neurons: Experimental observations and model analysis.

[BibT_eX]

[DOI]