Zobrazeno 1 - 10
of 267
pro vyhledávání: '"Stoop, Ruedi"'
Key traits of unicellular species, like cell size, often follow scale-free or self-similar distributions, hinting at the possibility of an underlying critical process. However, linking such empirical scaling laws to the critical regime of realistic i
Externí odkaz:
http://arxiv.org/abs/2004.00399
'Big' high-dimensional data are commonly analyzed in low-dimensions, after performing a dimensionality-reduction step that inherently distorts the data structure. For the same purpose, clustering methods are also often used. These methods also introd
Externí odkaz:
http://arxiv.org/abs/1803.00500
As a promising computational paradigm, occurrence of critical states in artificial and biological neural networks has attracted wide-spread attention. An often-made explicit or implicit assumption is that one single critical state is responsible for
Externí odkaz:
http://arxiv.org/abs/1708.04168
Autor:
Kanders, Kalris, Stoop, Ruedi
There are indications that for optimizing neural computation, neural networks - including the brain - operate at criticality. Previous approaches have, however, used diverse fingerprints of criticality, leaving open the question whether they refer to
Externí odkaz:
http://arxiv.org/abs/1609.09218
Autor:
Stoop, Ruedi, Gomez, Florian
The cochlea provides a biological information-processing paradigm that we only begin to under- stand in its full complexity. Our work reveals an interacting network of strongly nonlinear dynami- cal nodes, on which even simple sound input triggers su
Externí odkaz:
http://arxiv.org/abs/1603.04607
Astounding properties of biological sensors can often be mapped onto a dynamical system in the vicinity a bifurcation. For mammalian hearing, a Hopf bifurcation description has been shown to work across a whole range of scales, from individual hair b
Externí odkaz:
http://arxiv.org/abs/1510.03241
Publikováno v:
Phys. Rev. E 93, 043313, 15 April 2016
Parameter inference is a fundamental problem in data-driven modeling. Given observed data that is believed to be a realization of some parameterized model, the aim is to find parameter values that are able to explain the observed data. In many situat
Externí odkaz:
http://arxiv.org/abs/1509.05305
Publikováno v:
Scientific Reports 5, 12353 (2015)
The study of complex networks has pursued an understanding of macroscopic behavior by focusing on power-laws in microscopic observables. Here, we uncover two universal fundamental physical principles that are at the basis of complex networks generati
Externí odkaz:
http://arxiv.org/abs/1505.06005
Bursting neurons fire rapid sequences of action potential spikes followed by a quiescent period. The basic dynamical mechanism of bursting is the slow currents that modulate a fast spiking activity caused by rapid ionic currents. Minimal models of bu
Externí odkaz:
http://arxiv.org/abs/1502.04067
Publikováno v:
Scientific Reports 5, 12492 (2015)
Nonlinear physics plays an essential role in hearing, from sound signal generation to sound sensing to the processing of complex sound environments. We demonstrate that the evolution of the biological hearing sensors demonstrates a dramatic reduction
Externí odkaz:
http://arxiv.org/abs/1409.0655