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Blind source separation in the presence of weak sources
TLDR
We investigate the information processing of a linear mixture of independent sources of different magnitudes. Expand
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Bump formation in a binary attractor neural network.
The conditions for the formation of local bumps in the activity of binary attractor neural networks with spatially dependent connectivity are investigated. We show that these formations are observedExpand
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Coherent Stranski-Krastanov growth in 1¿1 dimensions with anharmonic interactions: An equilibrium study
The formation of coherently strained three-dimensional (3D) islands on top of the wetting layer in the Stranski-Krastanov mode of growth is considered in a model in 1 + 1 dimensions accounting forExpand
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Combinatorial Image Analysis - 14th International Workshop, IWCIA 2011, Madrid, Spain, May 23-25, 2011. Proceedings
TLDR
Reading combinatorial image analysis 14th international workshop iwcia 2011 madrid spain may 23 25 201, you can take more advantages with limited budget.Make more knowledge even in less time every day. Expand
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Three-state neural network: from mutual information to the Hamiltonian.
TLDR
We perform an expansion of I on the overlap and activity-overlap, around their values for neurons almost independent of the patterns. Expand
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Time evolution of the extremely diluted Blume-Emery-Griffiths neural network.
TLDR
A study of the time evolution and a stability analysis of the phases in the extremely diluted Blume-Emery-Griffiths neural network model are shown to yield new phase diagrams in which fluctuation retrieval may drive pattern retrieval. Expand
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Conditions for the emergence of spatially asymmetric retrieval states in an attractor neural network
TLDR
In this paper we show that during the retrieval process in a binary symmetric Hebb neural network, spatially localized states can be observed when the connectivity of the network is distance-dependent, which forces different levels of activity in the retrieval and learning states. Expand
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The mutual information of a stochastic binary channel: validity of the replica symmetry ansatz
We calculate the mutual information (MI) of a two-layered neural network with noiseless, continuous inputs and binary, stochastic outputs under several assumptions on the synaptic efficiencies. TheExpand
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Origins of scaling relations in nonequilibrium growth
Scaling and hyperscaling laws provide exact relations among critical exponents describing the behavior of a system at criticality. For nonequilibrium growth models with a conserved drift there existExpand
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Flow Diagrams of the Quadratic Neural Network
TLDR
The macroscopic dynamics of an extremely diluted threestate neural network based on mutual information and mean-field theory is studied in order to establish the stability of the stationary states. Expand
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