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Clusters in social networks with incomplete information
(World Scientific, 2010-04)
We have developed a method to recognize communities in networks which lack of some information. It has been conceived to be applied to the problem of getting information about people who were disappeared in the Argentine ...
Sensitivity and generalized analytical sensitivity expressions for quantitative analysis using convolutional neural networks
(Elsevier Science, 2022-05)
In recent years, convolutional neural networks and deep neural networks have been used extensively in various fields of analytical chemistry. The use of these models for calibration tasks has been highly effective; however, ...
Memory effects induce structure in social networks with activity-driven agents
(Iop Publishing, 2014-09)
Activity-driven modelling has recently been proposed as an alternative growth mechanism for time varying networks,displaying power-law degree distribution in time-aggregated representation. This approach assumes memoryless ...
On global mechanisms of synchronization in networks of coupled chaotic circuits and the role of the voltage-type coupling
(Springer, 2020-06-13)
A model for synchronization of coupled Nakano’s chaotic circuits is studied. The Nakano circuit consists of a simple RLC circuit with a switch voltage-depending reset rule which generates a discontinuous dynamics. Thus, ...
Reflexiones en torno a la noción de redConsideration around the notion of network
(Universidad Nacional de Quilmes, 2007-07)
La noción de red es utilizada en ciencias sociales y, en particular en los estudios sobre las ciencias. Existen dos corrientes de investigación que van más allá de los usos metafóricos del término red. Se trata, por un ...
Complex-linear invariants of biochemical networks
(Academic Press Ltd - Elsevier Science Ltd, 2012-10)
The nonlinearities found in molecular networks usually prevent mathematical analysis of network behaviour, which has largely been studied by numerical simulation. This can lead to difficult problems of parameter determination. ...
Probing the structure–function relationship with neural networks constructed by solving a system of linear equations
(Nature Research, 2021-12)
Neural network models are an invaluable tool to understand brain function since they allow us to connect the cellular and circuit levels with behaviour. Neural networks usually comprise a huge number of parameters, which ...
Membrane potential resonance in non-oscillatory neurons interacts with synaptic connectivity to produce network oscillations
(Springer, 2019-03-20)
Several neuron types have been shown to exhibit (subthreshold) membrane potential resonance (MPR), defined as the occurrence of a peak in their voltage amplitude response to oscillatory input currents at a preferred ...
Variability in functional brain networks predicts expertise during action observation
(Academic Press Inc Elsevier Science, 2016-09)
Observing an action performed by another individual activates, in the observer, similar circuits as those involved in the actual execution of that action. This activation is modulated by prior experience; indeed, sustained ...
Evaluating multiple determinants of the structure of plant-animal mutualistic networks
(Ecological Society of America, 2009-08)
The structure of mutualistic networks is likely to result from the simultaneous influence of neutrality and the constraints imposed by complementarity in species phenotypes, phenologies, spatial distributions, phylogenetic ...