8,399 research outputs found
Stochastic Desertification
The process of desertification is usually modeled as a first order
transition, where a change of an external parameter (e.g. precipitation) leads
to a catastrophic bifurcation followed by an ecological regime shift. However,
vegetation elements like shrubs and trees undergo a stochastic birth-death
process with an absorbing state; such a process supports a second order
continuous transition with no hysteresis. We present a numerical study of a
minimal model that supports bistability and catastrophic shift on spatial
domain with demographic noise and an absorbing state. When the external
parameter varies adiabatically the transition is continuous and the front
velocity renormalizes to zero at the extinction transition. Below the
transition one may identify three modes of desertification: accumulation of
local catastrophes, desert invasion and global collapse. A catastrophic regime
shift occurs as a dynamical hysteresis, when the pace of environmental
variations is too fast. We present some empirical evidence, suggesting that the
mid-holocene desertification of the Sahara was, indeed, continuous
Compact coalgebras, compact quantum groups and the positive antipode
In this article -that has also the intention to survey some known results in
the theory of compact quantum groups using methods different from the standard
and with a strong algebraic flavor- we consider compact o-coalgebras and Hopf
algebras. In the case of a o-Hopf algebra we present a proof of the
characterization of the compactness in terms of the existence of a positive
definite integral, and use our methods to give an elementary proof of the
uniqueness - up to conjugation by an automorphism of Hopf algebras- of the
compact involution appearing in [4]. We study the basic properties of the
positive square root of the antipode square that is a Hopf algebra automorphism
that we call the positive antipode. We use it -as well as the unitary antipode
and the Nakayama automorphism- in order to enhance our understanding of the
antipode itself
Theory of spike timing based neural classifiers
We study the computational capacity of a model neuron, the Tempotron, which
classifies sequences of spikes by linear-threshold operations. We use
statistical mechanics and extreme value theory to derive the capacity of the
system in random classification tasks. In contrast to its static analog, the
Perceptron, the Tempotron's solutions space consists of a large number of small
clusters of weight vectors. The capacity of the system per synapse is finite in
the large size limit and weakly diverges with the stimulus duration relative to
the membrane and synaptic time constants.Comment: 4 page, 4 figures, Accepted to Physical Review Letters on 19th Oct.
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Short-Term Memory in Orthogonal Neural Networks
We study the ability of linear recurrent networks obeying discrete time
dynamics to store long temporal sequences that are retrievable from the
instantaneous state of the network. We calculate this temporal memory capacity
for both distributed shift register and random orthogonal connectivity
matrices. We show that the memory capacity of these networks scales with system
size.Comment: 4 pages, 4 figures, to be published in Phys. Rev. Let
Swelling of particle-encapsulating random manifolds
We study the statistical mechanics of a closed random manifold of fixed area
and fluctuating volume, encapsulating a fixed number of noninteracting
particles. Scaling analysis yields a unified description of such swollen
manifolds, according to which the mean volume gradually increases with particle
number, following a single scaling law. This is markedly different from the
swelling under fixed pressure difference, where certain models exhibit
criticality. We thereby indicate when the swelling due to encapsulated
particles is thermodynamically inequivalent to that caused by fixed pressure.
The general predictions are supported by Monte Carlo simulations of two
particle-encapsulating model systems -- a two-dimensional self-avoiding ring
and a three-dimensional self-avoiding fluid vesicle. In the former the
particle-induced swelling is thermodynamically equivalent to the
pressure-induced one whereas in the latter it is not.Comment: 8 pages, 6 figure
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