Zobrazeno 1 - 10
of 234
pro vyhledávání: '"CANNAS, SERGIO"'
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 appear in the stationary state as the model parameters are varied. Anal
Externí odkaz:
http://arxiv.org/abs/2312.17645
Publikováno v:
Physical Review E 106, 054140 (2022)
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 considerable number of theoretical efforts are currently concentrated
Externí odkaz:
http://arxiv.org/abs/2207.02320
Autor:
Camargo, Sabrina, Martin, Daniel A., Trejo, Eyisto J. Aguilar, de Florian, Aylen, Nowak, Maciej A., Cannas, Sergio A., Grigera, Tomas S., Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 108, 034302 (2023)
The advent of novel opto-genetics technology allows the recording of brain activity with a resolution never seen before. The characterisation of these very large data sets offers new challenges as well as unique theory-testing opportunities. Here we
Externí odkaz:
http://arxiv.org/abs/2206.07797
Autor:
Trejo, Eyisto J. Aguilar, Martin, Daniel A., De Zoysa, Dulara, Bowen, Zac, Grigera, Tomas S., Cannas, Sergio A., Losert, Wolfgang, Chialvo, Dante R.
Publikováno v:
Phys. Rev. E 106, 054313. Published 29 November 2022
In this article, a correlation metric $\kappa_C$ is proposed for the inference of the dynamical state of neuronal networks. $\kappa_C$ is computed from the scaling of the correlation length with the size of the observation region, which shows qualita
Externí odkaz:
http://arxiv.org/abs/2205.11341
Autor:
Díaz, Margarita M. Sánchez, Trejo, Eyisto J. Aguilar, Martin, Daniel A., Cannas, Sergio A., Grigera, Tomás S., Chialvo, Dante R.
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 network topology. To fix ideas we study the dynamics of two cellular
Externí odkaz:
http://arxiv.org/abs/2109.01614
We analyse the neural dynamics and its relation with the emergent behaviour of a robotic vehicle that is controlled by a neural network numerical simulation based on the nervous system of the nematode Caenorhabditis elegans. The robot interacts with
Externí odkaz:
http://arxiv.org/abs/2011.09057
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 description fits well with the idea that biological systems, in general, may
Externí odkaz:
http://arxiv.org/abs/2010.16020
Autor:
Martin, Daniel A., Ribeiro, Tiago L., Cannas, Sergio A., Grigera, Tomas S., Plenz, Dietmar, Chialvo, Dante R.
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 two challenges: usually they are not of infinite size, and in the major
Externí odkaz:
http://arxiv.org/abs/2007.08236
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 critical scenario it is well known that the properties of the correlation
Externí odkaz:
http://arxiv.org/abs/1905.11758
Publikováno v:
Phys. Rev. E 100, 052138 (2019)
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 regime is hampered by the relatively small size of the available connect
Externí odkaz:
http://arxiv.org/abs/1905.05280