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Optimal dynamical range of excitable networks at criticality
It is proposed that the main functional role of electrical coupling is to provide an enhancement of dynamic range, therefore allowing the coding of information spanning several orders of magnitude, which could provide a microscopic neural basis for psychophysical laws.
An index to quantify an individual's scientific research valid across disciplines
A complementary index hI = h^2/N_t, with N_t being the total number of authors in the considered h papers, is proposed for comparison among different research areas.
Is it possible to compare researchers with different scientific interests?
This work has obtained the rank plots of h and h I for four Brazilian scientific communities and found the h I index rank plots collapse into a single curve allowing comparison among different research areas.
Speech Graphs Provide a Quantitative Measure of Thought Disorder in Psychosis
The results demonstrate that alterations of the thought process manifested in the speech of psychotic patients can be objectively measured using graph-theoretical tools, developed to capture specific features of the normal and dysfunctional flow of thought, such as divergence and recurrence.
Physics of psychophysics: Stevens and Weber-Fechner laws are transfer functions of excitable media.
- M. Copelli, A. Roque, R. Oliveira, O. Kinouchi
- PhysicsPhysical review. E, Statistical, nonlinear, and…
- 20 December 2001
This work has shown that nonlinear transformations of the input level could be performed in the sensory periphery simply due to a basic property: the transfer function of excitable media.
Optimal generalization in perceptions
A new learning algorithm for the one-layer perceptron is presented. It aims to maximize the generalization gain per example. Analytical results are obtained for the case of single presentation of…
Phase transitions and self-organized criticality in networks of stochastic spiking neurons
- L. Brochini, Ariadne de Andrade Costa, M. Abadi, A. Roque, J. Stolfi, O. Kinouchi
- Computer ScienceScientific reports
- 21 June 2016
Analytical and computational results about phase transitions and self-organized criticality (SOC) in networks with general stochastic neurons are reported and a new mechanism to produce SOC is proposed: the use of dynamic neuronal gains – a form of short-term plasticity probably located at the axon initial segment (AIS) – instead of depressing synapses at the dendrites.
Deterministic walks in random media.
Deterministic walks over a random set of N points in one and two dimensions ( d = 1,2) are considered and the density of p cycles can be approximately described by D(p)proportional to p(-alpha(tau).
The non-equilibrium nature of culinary evolution
Food is an essential part of civilization, with a scope that ranges from the biological to the economic and cultural levels. Here, we study the statistics of ingredients and recipes taken from…
Deterministic walks as an algorithm of pattern recognition.
- Mônica G. Campiteli, P. Batista, O. Kinouchi, A. Martinez
- Computer SciencePhysical review. E, Statistical, nonlinear, and…
- 4 August 2006
A deterministic procedure as a tool for pattern recognition in a hierarchical way that finds attractors of mutually close points based on the neighborhood ranking and produces a general tree that represents the nesting structure of the data in an invariant way by scale transformation.