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- Mara Fabiana Laguna, Sebastián Risau-Gusman
- PloS one
- 2011

In this paper we use detailed data about the biology of the head louse (pediculus humanus capitis) to build a model of the evolution of head lice colonies. Using theory and computer simulations, we show that the model can be used to assess the impact of the various strategies usually applied to eradicate head lice, both conscious (treatments) and… (More)

- Damián H Zanette, Sebastián Risau-Gusmán
- Journal of biological physics
- 2008

We study the spreading of an infection within an SIS epidemiological model on a network. Susceptible agents are given the opportunity of breaking their links with infected agents. Broken links are either permanently removed or reconnected with the rest of the population. Thus, the network coevolves with the population as the infection progresses. We show… (More)

- Sebastián Risau-Gusman, Damián H Zanette
- Journal of theoretical biology
- 2009

We study the effects of switching social contacts as a strategy to control epidemic outbreaks. Connections between susceptible and infective individuals can be broken by either individual, and then reconnected to a randomly chosen member of the population. It is assumed that the reconnecting individual has no previous information on the epidemiological… (More)

- Sebastian Risau-Gusman, Alexandre S Martinez, Osame Kinouchi
- Physical review. E, Statistical, nonlinear, and…
- 2003

A random walk is performed over a disordered media composed of N sites random and uniformly distributed inside a d-dimensional hypercube. The walker cannot remain in the same site and hops to one of its n neighboring sites with a transition probability that depends on the distance D between sites according to a cost function E(D). The stochasticity level is… (More)

- Alexandre S Martinez, Osame Kinouchi, Sebastian Risau-Gusman
- Physical review. E, Statistical, nonlinear, and…
- 2004

A random walk is performed on a disordered landscape composed of N sites randomly and uniformly distributed inside a d-dimensional hypercube. The walker hops from one site to another with probability proportional to exp[-betaE(D)], where beta=1/T is the inverse of a formal temperature and E(D) is an arbitrary cost function which depends on the hop distance… (More)

- Alessandra F Lütz, Sebastián Risau-Gusman, Jeferson J Arenzon
- Journal of theoretical biology
- 2013

Intransitivity is a property of connected, oriented graphs representing species interactions that may drive their coexistence even in the presence of competition, the standard example being the three species Rock-Paper-Scissors game. We consider here a generalization with four species, the minimum number of species allowing other interactions beyond the… (More)

- Sebastián Risau-Gusman
- Journal of the Royal Society, Interface
- 2012

Network epidemiology often assumes that the relationships defining the social network of a population are static. The dynamics of relationships is only taken indirectly into account by assuming that the relevant information to study epidemic spread is encoded in the network obtained, by considering numbers of partners accumulated over periods of time… (More)

We characterize the topology of the phase space of the Berlin-Kac spherical model in the context of the so called Topological Hypothesis, for spins lying in hypercubic lattices of dimension d. For zero external field we are able to characterize the topology exactly, up to homology. We find that, even though there is a continuum of changes in the topology of… (More)

- Sebastián Risau-Gusman, Marco A P Idiart
- Physical review. E, Statistical, nonlinear, and…
- 2005

We perform an extensive numerical investigation on the retrieval dynamics of the synchronous Hopfield model, also known as Little-Hopfield model, up to sizes of 2(18) neurons. Our results correct and extend much of the early simulations on the model. We find that the average convergence time has a power law behavior for a wide range of system sizes, whose… (More)

- Sebastian Risau-Gusman, Mirta B. Gordon
- NIPS
- 1999

In this article we study the effects of introducing structure in the input distribution of the data to be learnt by a simple perceptron. We determine the learning curves within the framework of Statistical Mechanics. Stepwise generalization occurs as a function of the number of examples when the distribution of patterns is highly anisotropic. Although… (More)