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Learning by mistakes in memristor networks
Juan Pablo Carbajal, Daniel Alejandro Martin, Dante Renato Chialvo
Recent results in adaptive matter revived the interest in the implementation of novel devices able to perform brain-like operations. Here we introduce a training algorithm for a me…
Universal dynamics of mitochondrial networks: a finite-size scaling analysis
Nahuel Zamponi, Emiliano Zamponi, Sergio A Cannas +1
A growing body of evidence suggests that the structure of mitochondrial networks is poised near criticality, an intermediate regime lying in between order and disorder. Such descri…
Revisiting non-linear functional brain co-activations: directed, dynamic and delayed
Ignacio Cifre, Maria T. Miller Flores, Jeremi K. Ochab +1
The center stage of neuro-imaging is currently occupied by studies of functional correlations between brain regions. These correlations define the brain functional networks, which…
Box-scaling as a proxy of finite-size correlations
Daniel A. Martin, Tiago L. Ribeiro, Sergio A. Cannas +3
The scaling of correlations as a function of system size provides important hints to understand critical phenomena on a variety of systems. Its study in biological systems offers t…