German Mato
German Mato
Professsor of physics. Researcher CNEA-CONICET
Verified email at - Homepage
Cited by
Cited by
Synchrony in excitatory neural networks
D Hansel, G Mato, C Meunier
Neural computation 7 (2), 307-337, 1995
Phase dynamics for weakly coupled Hodgkin-Huxley neurons
D Hansel, G Mato, C Meunier
Europhysics Letters 23 (5), 367, 1993
Clustering and slow switching in globally coupled phase oscillators
D Hansel, G Mato, C Meunier
Physical Review E 48 (5), 3470, 1993
On numerical simulations of integrate-and-fire neural networks
D Hansel, G Mato, C Meunier, L Neltner
Neural Computation 10 (2), 467-483, 1998
Electrical synapses and synchrony: the role of intrinsic currents
B Pfeuty, G Mato, D Golomb, D Hansel
Journal of Neuroscience 23 (15), 6280-6294, 2003
Asynchronous states and the emergence of synchrony in large networks of interacting excitatory and inhibitory neurons
D Hansel, G Mato
Neural computation 15 (1), 1-56, 2003
Phase response curves in neuroscience: theory, experiment, and analysis
NW Schultheiss, AA Prinz, RJ Butera
Springer Science & Business Media, 2011
Existence and stability of persistent states in large neuronal networks
D Hansel, G Mato
Physical Review Letters 86 (18), 4175, 2001
Self-similarity properties of natural images
A Turiel, G Mato, N Parga, JP Nadal
Advances in neural information processing systems 10, 1997
The combined effects of inhibitory and electrical synapses in synchrony
B Pfeuty, G Mato, D Golomb, D Hansel
Neural Computation 17 (3), 633-670, 2005
Short-term plasticity explains irregular persistent activity in working memory tasks
D Hansel, G Mato
Journal of Neuroscience 33 (1), 133-149, 2013
Synchrony in heterogeneous networks of spiking neurons
L Neltner, D Hansel, G Mato, C Meunier
Neural computation 12 (7), 1607-1641, 2000
Mechanisms of synchrony of neural activity in large networks
D Golomb, D Hansel, G Mato
Handbook of biological physics 4, 887-968, 2001
The interplay of seven subthreshold conductances controls the resting membrane potential and the oscillatory behavior of thalamocortical neurons
Y Amarillo, E Zagha, G Mato, B Rudy, MS Nadal
Journal of Neurophysiology 112 (2), 393-410, 2014
Stochastic resonance using noise generated by a neural network
G Mato
Physical Review E 59 (3), 3339, 1999
Memorization without generalization in a multilayered neural network
D Hansel, G Mato, C Meunier
Europhysics Letters 20 (5), 471, 1992
Emergent orientation selectivity from random networks in mouse visual cortex
JJ Pattadkal, G Mato, C van Vreeswijk, NJ Priebe, D Hansel
Cell reports 24 (8), 2042-2050. e6, 2018
Type I and type II neuron models are selectively driven by differential stimulus features
G Mato, I Samengo
Neural computation 20 (10), 2418-2440, 2008
Generalization properties of multilayered neural networks
G Mato, N Parga
Journal of Physics A: Mathematical and General 25 (19), 5047, 1992
Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRI
AH Curiale, FD Colavecchia, G Mato
Computer methods and programs in biomedicine 169, 37-50, 2019
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