2 results match your criteria: "1306 Associée aux Universités Paris VI et Paris VII[Affiliation]"
Energy of hydrogen bonds probed by the adhesion of functionalized lipid layers.
Biophys J
December 2002
Laboratoire de Physique Statistique de l'Ecole Normale Supérieure, Unité de Recherche Associée Centre National de la Recherche Scientifique, 1306 Associée aux Universités Paris VI et Paris VII, 24 rue Lhomond, 75231 Paris cedex 05, France.
It is now well admitted that hydrophobic interactions and hydrogen bonds are the main forces driving protein folding and stability. However, because of the complex structure of a protein, it is still difficult to separate the different energetic contributions and have a reliable estimate of the hydrogen bond part. This energy can be quantified on simpler systems such as surfaces bearing hydrogen-bonding groups.
View Article and Find Full Text PDFModeling memory: what do we learn from attractor neural networks?
C R Acad Sci III
October 1998
Laboratoire de physique statistique de l'ENS (laboratoire associé au CNRS-Ura 1306 et aux universités Paris-VI et Paris-VII), Ecole normale supérieure, France.
In this paper we summarize some of the main contributions of models of recurrent neural networks with associative memory properties. We compare the behavior of these attractor neural networks with empirical data from both physiology and psychology. This type of network could be used in models with more complex functions.
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