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- Enrique Burgos, Horacio Ceva, +4 authors Ana María Delbue
- Journal of theoretical biology
- 2007

We investigate the relationship between the nested organization of mutualistic systems and their robustness against the extinction of species. We establish that a nested pattern of contacts is the best possible one as far as robustness is concerned, but only when the least linked species have the greater probability of becoming extinct. We introduce a… (More)

We describe an array of quantum gates implementing Shor’s algorithm for prime factorization in a quantum computer. The array includes a circuit for modular exponentiation with several subcomponents (such as controlled multipliers, adders, etc) which are described in terms of elementary Toffoli gates. We present a simple analysis of the impact of losses and… (More)

- Diego Medan, Roberto P.J. Perazzo, +4 authors Ana M. Delbue
- 2006

Replacement of papers q-bio/0605026 and q-bio/0607043 by a single manuscript (q-bio/0701029) follows suggestions from a magazine's referee

- H Dopazo, M B Gordon, R Perazzo, S Risau-Gusman
- Bulletin of mathematical biology
- 2001

We present a simple model in order to discuss the interaction of the genetic and behavioral systems throughout evolution. This considers a set of adaptive perceptrons in which some of their synapses can be updated through a learning process. This framework provides an extension of the well-known Hinton and Nowlan model by blending together some learning… (More)

- Diego Medan, Roberto P J Perazzo, +4 authors Ana M Delbue
- Journal of theoretical biology
- 2007

It has been observed that mutualistic bipartite networks have a nested structure of interactions. In addition, the degree distributions associated with the two guilds involved in such networks (e.g., plants and pollinators or plants and seed dispersers) approximately follow a truncated power law (TPL). We show that nestedness and TPL distributions are… (More)

- Enrique Carlos Segura, Roberto P. J. Perazzo
- Neural Processing Letters
- 2000

A generalization of the Little–Hopfield neural network model for associative memories is presented that considers the case of a continuum of processing units. The state space corresponds to an infinite dimensional euclidean space. A dynamics is proposed that minimizes an energy functional that is a natural extension of the discrete case. The case in which… (More)

- Enrique Carlos Segura, Roberto P. J. Perazzo
- Neural Processing Letters
- 2002

A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded response units approach and the stochastic, Glauber-inspired model with a random field representing thermal fluctuations. This is done by casting the retrieval process of the model… (More)

- H Dopazo, M B Gordon, R Perazzo, S Risau-Gusman
- Bulletin of mathematical biology
- 2003

We investigate the interaction of learning and evolution in a changing environment. A stable learning capability is regarded as an emergent adaptive system evolved by natural selection of genetic variants. We consider the evolution of an asexual population. Each genotype can have 'fixed' and 'flexible' alleles. The former express themselves as synaptic… (More)

- D. Heymann, Roberto P. J. Perazzo, A. R. Schuschny
- Advances in Complex Systems
- 2004

- Enrique Burgos, Horacio Ceva, +4 authors Mariana Delbue
- 2006

Replacement of papers q-bio/0605026 and q-bio/0607043 by a single manuscript (q-bio/0701029) follows suggestions from a magazine's referee