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Lanza V, Corinto F, Gilli M. Analysis of nonlinear oscillatory network dynamics, via time-varying amplitude and phase variables. International Journal of Circuit Theory and Applications. 2007;35:623-44.
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Ramezanpour A. Biology helps to construct weighted scale-free networks. Europhysics Letters. 2004;68:316-22.
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Dall'Asta L, Marsili M, Pin P. Collaboration in social networks. Proceedings of the National Academy of Sciences. 2012;109:4395-400. Abstract
Correale L, Leone M, Pagnani A, Weigt M, Zecchina R. The computational core and fixed point organization in Boolean networks. Journal of Statistical Mechanics: Theory and Experiment. 2006;3:P03002.
Gaonkar KS, Gulati G, Balu K, Purohit R. Computational evaluation of small molecule inhibitors of RGS4 to regulate the dopaminergic control of striatal LTD. Egyptian Journal of Medical Human Genetics. 2012:-.
Chavas J, Battaglia D, Ciccutin A, Zecchina R. Construction and VHDL implementation of a fully local network with good reconstruction properties of the inputs. Artificial Intelligence and Knowledge Engineering Applications: a Bioinspired approach, J. Mira, JR Alvarez editors, Part II. 2005:385-94.
Correale L, Leone M, Pagnani A, Weigt M, Zecchina R. Core Percolation and Onset of Complexity in Boolean Networks. Physical Review Letters. 2006;96:18101.
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Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. Proceedings of the National Academy of Sciences. 2007;104:11079-84.
Baldassi C, Braunstein A, Brunel N, Zecchina R. Efficient supervised learning in networks with binary synapses. Proceedings of the National Academy of Sciences. 2007;104:11079-84.
Braunstein A, Mulet R, Pagnani A. Estimating the size of the solution space of metabolic networks. BMC Bioinformatics. 2008;9:240. Abstract
Lanza V, Ambrosi D, Preziosi L. Exogenous control of vascular network formation in vitro: a mathematical model. NETWORKS AND HETEROGENEOUS MEDIA. 2006;1:621.
Bailly-Bechet M, Benecke A, Hardt WD, Lanza V, Sturm A, Zecchina R. An externally modulated, noise-driven switch for the regulation of SPI1 in Salmonella enterica serovar Typhimurium. Journal of Mathematical Biology. 2011;63:637-62.
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Baldassi C. Generalization Learning in a Perceptron with Binary Synapses. Journal of Statistical Physics. 2009;136(5). Abstract  Download: Baldassi09.pdf (562.66 KB)
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Braunstein A, Pagnani A, Weigt M, Zecchina R. Inference algorithms for gene networks: a statistical mechanics analysis. Journal of Statistical Mechanics: Theory and Experiment. 2008;2008:P12001 (29pp). Abstract
Alemi-Neissi A, Baldassi C, Braunstein A, Pagnani A, Zecchina R, Zoccolan D. Information theoretic and machine learning approaches to quantify non-linear visual feature interaction underlying visual object recognition. BMC Neuroscience. 2012;13:1-2.
Mashaghi AR, Ramezanpour A, Karimipour V. Investigation of a protein complex network. The European Physical Journal B-Condensed Matter and Complex Systems. 2004;41:113-21.
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Braunstein A, Zecchina R. Learning by message-passing in networks of discrete synapses. Phys. Rev. Lett.. 2006;96:030201. Download: prl-synapses.pdf (233.04 KB)
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Lanza V, Corinto F, Gilli M. On the study of cellular nonlinear networks via amplitude and phase dynamics. Neural Networks. 2008;21:122-9.
Dall'Asta L, Pin P, Ramezanpour A. Optimal equilibria of the best shot game. Journal of Public Economic Theory. 2011;13(6).
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Bailly-Bechet M, Braunstein A, Zecchina R. A Prize-Collecting Steiner Tree Approach for Transduction Network Inference. In: Proceedings of the 7th International Conference on Computational Methods in Systems Biology. Springer; 2009. 95.
Mahmoudi H, Pagnani A, Weigt M, Zecchina R. Propagation of external regulation and asynchronous dynamics in random Boolean networks. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2007;17:026109.
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Bayati M, Braunstein A, Zecchina R. A rigorous analysis of the cavity equations for the minimum spanning tree. Journal of Mathematical Physics. 2008;49:125206. Download: BaBrZe2008.pdf: Copyright (2008) American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. (270.23 KB)
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Bayati M, Borgs C, Braunstein A, Chayes J, Ramezanpour A, Zecchina R. Statistical Mechanics of Steiner Trees. Physical Review Letters. 2008;101:37208. Abstract  Download: prl-steiner.pdf (210.2 KB)
Ramezanpour A, Realpe J, Zecchina R. Statistical physics approach to graphical games: local and global interactions. Eur. Phys. J. B. 2011;81(3).
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Karimipour V, Ramezanpour A. Correlation effects in a simple model of small-world network. Journal reference: Phys. Rev. E. 2002;65:036122.