1.5k citations · 5.8k across the 62 of their papers we have counts for
17 papers · 1 filter
Uncontrolled learning: co-design of neuromorphic hardware topology for neuromorphic algorithms
Frank Barrows, Jonathan Lin, Francesco Caravelli +1
Hardware-based neuromorphic computing remains an elusive goal with the potential to profoundly impact future technologies and deepen our understanding of emergent intelligence. The…
Mean-field solution of the neural dynamics in a Greenberg-Hastings model with excitatory and inhibitory units
Joaquin Almeira, Tomas S. Grigera, Daniel A. Martin +2
We present a mean field solution of the dynamics of a Greenberg-Hastings neural network with both excitatory and inhibitory units. We analyse the dynamical phase transitions that a…
Tricritical behavior in a neural model with excitatory and inhibitory units
Joaquin Almeira, Tomas S. Grigera, Dante R. Chialvo +1
While the support for the relevance of critical dynamics to brain function is increasing, there is much less agreement on the exact nature of the advocated critical point. Thus, a…
Finite-size correlation behavior near a critical point: a simple metric for monitoring the state of a neural network
Eyisto J. Aguilar Trejo, Daniel A. Martin, Dulara De Zoysa +5
In this article, a correlation metric is proposed for the inference of the dynamical state of neuronal networks. is computed from the scaling of the correlation length…
Apparently similar neuronal dynamics may lead to different collective repertoire
Margarita M. Sánchez Díaz, Eyisto J. Aguilar Trejo, Daniel A. Martin +3
This report is concerned with the relevance of the microscopic rules, that implement individual neuronal activation, in determining the collective dynamics, under variations of the…
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…
Universal and non-universal neural dynamics on small world connectomes: a finite size scaling analysis
Mahdi Zarepour, Juan I. Perotti, Orlando V. Billoni +2
Evidence of critical dynamics has been recently found in both experiments and models of large scale brain dynamics. The understanding of the nature and features of such critical re…
Controlling a complex system near its critical point via temporal correlations
Dante R. Chialvo, Sergio A. Cannas, Dietmar Plenz +1
A wide variety of complex systems exhibit large fluctuations both in space and time that often can be attributed to the presence of some kind of critical phenomena. Under such crit…
The Ghost of Stochastic Resonance: An Introductory Review
Pablo Balenzuela, Holger Braun, Dante R. Chialvo
Nonlinear systems driven by noise and periodic forces with more than one frequency exhibit the phenomenon of Ghost Stochastic Resonance (GSR) found in a wide and disparate variety…
Ising-like dynamics in large-scale functional brain networks
Daniel Fraiman, Pablo Balenzuela, Jennifer Foss +1
Brain "rest" is defined -more or less unsuccessfully- as the state in which there is no explicit brain input or output. This work focuss on the question of whether such state can b…
Emergent self-organized complex network topology out of stability constraints
J. I. Perotti, O. V. Billoni, F. A. Tamarit +2
Although most networks in nature exhibit complex topology the origins of such complexity remains unclear. We introduce a model of a growing network of interacting agents in which e…
The brain: What is critical about it?
Dante R. Chialvo, Pablo Balenzuela, Daniel Fraiman
We review the recent proposal that the most fascinating brain properties are related to the fact that it always stays close to a second order phase transition. In such conditions,…
Emergent complexity: what uphill analysis or downhill invention can not do
Dante R. Chialvo
In these notes we review emergent phenomena in complex systems, emphasizing ways to identify potential underlying universal mechanisms that generates complexity. The discussion is…
Critical brain networks
Dante R. Chialvo
Highly correlated brain dynamics produces synchronized states with no behavioral value, while weakly correlated dynamics prevents information flow. We discuss the idea put forward…
Scale-free brain functional networks
Victor M. Eguiluz, Dante R. Chialvo, Guillermo A. Cecchi +2
Functional magnetic resonance imaging (fMRI) is used to extract {\em functional networks} connecting correlated human brain sites. Analysis of the resulting networks in different t…
Adaptive learning by extremal dynamics and negative feedback
Per Bak, Dante R Chialvo
We describe a mechanism for biological learning and adaptation based on two simple principles: (I) Neuronal activity propagates only through the network's strongest synaptic connec…
Noise in neurons is message-dependent
Guillermo A. Cecchi, Mariano Sigman, Jose-Manuel Alonso +3
Neuronal responses are conspicuously variable. We focus on one particular aspect of that variability: the precision of action potential timing. We show that for common models of no…