57 research outputs found
Conditions for the emergence of spatial asymmetric states in attractor neural network
In this paper we show that during the retrieval process in a binary symmetric
Hebb neural network, spatial localized states can be observed when the
connectivity of the network is distance-dependent and when a constraint on the
activity of the network is imposed, which forces different levels of activity
in the retrieval and learning states. This asymmetry in the activity during the
retrieval and learning is found to be sufficient condition in order to observe
spatial localized states. The result is confirmed analytically and by
simulation.Comment: 14
INACCURACY OF ESTIMATIONS OF S PHASE FRACTION BY REDUCTION IN CLONING EFFICIENCY WITH HYDROXYUREA OR TRITIATED THYMIDINE
A generic local thermal equilibrium model for porous reactive materials submitted to high temperatures
Effects of magnesium sulphate and nitric oxide in pulmonary hypertension induced by hypoxia in newborn piglets.
“Where nothing was before”: (re)producing population and place in Ghana's Volta River Project
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