Germán Mato - researchr alias

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Viewing Publication 1 - 23 from 23

2021

CardIAc: an open-source application for myocardial strain analysisAriel Hernán Curiale, Agustín Bernardo, Rodrigo Cárdenas, Germán Mato. cars, 16(1):65-79, 2021. [doi]

2019

Automatic quantification of the LV function and mass: A deep learning approach for cardiovascular MRIAriel Hernán Curiale, Flavio D. Colavecchia, Germán Mato. cmpb, 169:37-50, 2019. [doi]

Bifurcation structure determines different phase-amplitude coupling patterns in the activity of biologically plausible neural networksOsvaldo Matías Velarde, Eugenio Urdapilleta, Germán Mato, Damián Dellavale. neuroimage, 202, 2019. [doi]

2017

Automatic myocardial segmentation by using a deep learning network in cardiac MRIAriel Hernán Curiale, Flavio D. Colavecchia, Pablo Kaluza, Roberto A. Isoardi, Germán Mato. clei 2017: 1-6 [doi]

2015

Analysis of the role of the low threshold currents IT and Ih in intrinsic delta oscillations of thalamocortical neuronsYimy Amarillo, Germán Mato, Marcela S. Nadal. ficn, 2015:52, 2015. [doi]

2013

Linking dynamical and functional properties of intrinsically bursting neuronsInés Samengo, Germán Mato, Daniel H. Elijah, Susanne Schreiber, Marcelo A. Montemurro. jcns, 35(2):213-230, 2013. [doi]

2011

Maximum Evidence Method for classification of brain tissues in MRIRoberto A. Isoardi, Damian E. Oliva, Germán Mato. prl, 32(1):12-18, 2011. [doi]

Inferring Single Neuron Properties in Conductance Based Balanced NetworksRomán Rossi Pool, Germán Mato. ficn, 2011:41, 2011. [doi]

Spike-Timing-Dependent Plasticity and Reliability Optimization: The Role of Neuron DynamicsRomán Rossi Pool, Germán Mato. neco, 23(7):1768-1789, 2011. [doi]

2010

Deformable CT Registration Using Fourier Basis Functions in 3DAmílcar R. Osorio, Roberto A. Isoardi, Germán Mato. sibgrapi 2010: 48-55 [doi]

Hebbian Plasticity and Homeostasis in a Model of Hypercolumn of the Visual CortexRomán Rossi Pool, Germán Mato. neco, 22(7):1837-1859, 2010. [doi]

2008

Type I and Type II Neuron Models Are Selectively Driven by Differential Stimulus FeaturesGermán Mato, Inés Samengo. neco, 20(10):2418-2440, 2008. [doi]

Bayesian Estimation of Hyperparameters in MRI through the Maximum Evidence MethodDamian E. Oliva, Roberto A. Isoardi, Germán Mato. sibgrapi 2008: 129-136 [doi]

2007

Inhibition potentiates the synchronizing action of electrical synapsesBenjamin Pfeuty, David Golomb, Germán Mato, David Hansel. ficn, 2007:8, 2007. [doi]

2005

The Combined Effects of Inhibitory and Electrical Synapses in SynchronyBenjamin Pfeuty, Germán Mato, David Golomb, David Hansel. neco, 17(3):633-670, 2005. [doi]

2003

Asynchronous States and the Emergence of Synchrony in Large Networks of Interacting Excitatory and Inhibitory NeuronsDavid Hansel, Germán Mato. neco, 15(1):1-56, 2003. [doi]

2000

Dynamic Changes in Receptive Fields Induced by Cortical ReorganizationGermán Mato, Néstor Parga. In Roland Baddeley, Peter Hancock, Peter Földiák, editors, Information Theory and the Brain. pages 122-138, Addison-Wesley, 2000. [doi]

Synchrony in Heterogeneous Networks of Spiking NeuronsL. Neltner, David Hansel, Germán Mato, Claude Meunier. neco, 12(7):1607-1641, 2000.

1998

On Numerical Simulations of Integrate-and-Fire Neural NetworksDavid Hansel, Germán Mato, Claude Meunier, L. Neltner. neco, 10(2):467-483, 1998.

1997

Self-similarity Properties of Natural ImagesAntonio Turiel, Germán Mato, Néstor Parga, Jean-Pierre Nadal. nips 1998: 836-842

1996

Neural network models of perceptual learning of angle discriminationGermán Mato, Haim Sompolinsky. neco, 8(2):270-299, 1996.

1995

Synchrony in excitatory neural networksDavid Hansel, Germán Mato, Claude Meunier. neco, 7(2):307-337, 1995. [doi]

1989

The Organization of Metastable States in A Neural Network with Hierarchichal PatternsSilvia Bacci, Germán Mato, Néstor Parga. IJNS, 1(1):69-76, 1989. [doi]

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