2011

Enhanced Stimulus Encoding Capabilities with Spectral Selectivity in Inhibitory Circuits by STDP.   A Coulon, G. Beslon, H. Soula.   Neural Computation 23(4):882-908.   2011.

2010

Scaling Laws in Bacterial Genomes: A Side-Effect of Selection of Mutational Robustness.   G. Beslon, D.P. Parsons, Y. Sanchez-Dehesa, J.M. Pena, C. Knibbe.   BioSystems102(1):32-40.   2010.  

From Digital Genetics to Knowledge Discovery: Perspectives in Genetic Network Understanding.   G. Beslon, D.P. Parsons, J.M. Pena, C. Rigotti, Y. Sanchez-Dehesa.  Intelligent Data Analysis Journal 14(2):173-191.  2010.  

On the spontaneous stochastic dynamics of a single gene: complexity of the molecular interplay at the promoter.   A Coulon, O Gandrillon, G. Beslon.   BMC Systems Biology 4():2.   2010.  

Importance of the rearrangement rates on the organization of transcription.   D.P. Parsons, C. Knibbe, G. Beslon.   Dans Artificial Life, MIT Press ed. Odense, Danemark.pp. 479-486. Artificial Life 12. ISBN 978-0-262-29075-3.   2010.  

Aevol : un modèle individu-centré pour l’étude de la structuration des génomes.   D.P. Parsons, C. Knibbe, G. Beslon.   Dans MajecSTIC, Bordeaux.   2010.  

Influence of the rearrangement rates on the organization of genome transcription .   D.P. Parsons, C. Knibbe, G. Beslon.   Dans JOBIM, Montpellier.   2010.  

2009

Scaling Laws in Digital Organisms.   G. Beslon, Y. Sanchez-Dehesa, D.P. Parsons, J.M. Pena, C. Knibbe.   Dans Proc. Information Processing in Cells and Tissues IPCAT'09, Ascona, Switzerland. pp. 111-114.   2009.

Mécanismes moléculaires et fonction biologique de la variabilité de l'expression génique à l'échelle de la cellule unique : une approche systémique.   A Coulon, G. Beslon, F. Chatelain, A. Fuchs, O Gandrillon, M. Gineste, J.J. Kupiec, C. Mejia-Perez, A. Paldi.   Book chapter 3 in Le Hasard au coeur de la cellule, Syllepse edition. ISBN: 978-2-84950-207-5.   2009.

2008

Apprivoiser la vie, modélisation individu-centrée de systèmes biologiques complexes. G. Beslon, mémoire d’Habilitation à Diriger des Recherche, novembre 2008, 138 pages hdr_beslon.pdf

From molecules to organisms: towards multiscale integrated models of biological systems.   C. Lavelle, H. Berry, G. Beslon, F. Ginelli, J.L. Giavitto, Z. Kapola, A. Le Bivic, N. Peyrieras, O. Radulescu, A. Six, V. Thomas-Vaslin, P. Bourgine. (2008) Theoretical Biology Insights 1(1):13-22.  

Modelling Evolution of Regulatory Networks in Artificial Bacteria.   Y. Sanchez-Dehesa, D. Parsons, J.M. Pena, G. Beslon.   (2008) Mathematical Modelling of Natural Phenomena (MMNP) 3(2):27-66. 

The Topology of the Protein Network Influences the Dynamics of Gene Order : From Systems Biology to a Systemic Understanding of Evolution.   C. Knibbe, J.M. Fayard, G. Beslon. (2008) Artificial Life 14(1):149-156.  

Optimisation de réseaux de neurones RBF pour la régression via un algorithme évolutionnaire.   V. Lefort, G. Beslon. (2008) In: Extraction et Gestion des Connaissances (EGC), pp. 331-336.

Large multi-protein structure modeling and simulation: the need for mesoscopic models.   A Coulon, G. Beslon, O Gandrillon. (2008) Book chapter in Functional Proteomics volume of Methods in Molecular Biology, Humana press, vol. 484, pp. 537-558.

2007

A Long-Term Evolutionary Pressure on the Amount of Noncoding DNA.   C. Knibbe, A Coulon, O. Mazet, J.M. Fayard, G. Beslon. (2007) Molecular Biology and Evolution 24(10):2344-2353.

Evolutionary coupling between the deleteriousness of gene mutations and the amount of non-coding sequences.   C. Knibbe, O. Mazet, F. Chaudier, J.M. Fayard, G. Beslon.   Journal of Theoretical Biology 244(4):621-630, Elsevier, ISSN 0022-5193.   2007. 

Modélisation cellulaire pour l'émergence de structures multiprotéiques auto-organisées.   A Coulon, H. Soula, O. Mazet, O Gandrillon, G. Beslon.   Technique et Science Informatiques 26(1-2):123-148.   2007.  

RAevol, un modèle de génétique digitale des réseaux de régulation.   Y. Sanchez-Dehesa, J.M. Pena, G. Beslon. (2007)  In: Réseaux d'Interactions : Analyse, Modélisation, Simulation (RIAMS), Lyon, novembre 2007  

Artificial Regulatory Networks Evolution.   Y. Sanchez-Dehesa, L. Cerf, J.M. Pena, J-F. Boulicaut, G. Beslon. (2007)  In: Proc 1st Int Workshop on Machine Learning for Systems Biology MLSB 07 , Evry, France. pp. 47-52.   2007.

Generating Data form the Evolution of Artificial Regulatory Networks.   Y. Sanchez-Dehesa, J.M. Pena, G. Beslon. (2007) In: Workshop Data Mining in Functional Genomics and Proteomics. Current Trends and Future Directions co-located with ECML/PKDD 07, Warsaw, Poland. pp. 91-103. 

Modeling evolution of Regulatory Networks in Artificial Organisms.   Y. Sanchez-Dehesa, G. Beslon, J.M. Pena. (2007) In: Proc. 3rd Int. Symp. on Computational Life Science CompLife'07, Utrecht, Netherlands. pp. 87-98.

2006

From artificial evolution to computational evolution: a research agenda.   W. Banzhaf, G. Beslon, S. Christensen, J. Foster, F. Képès, V. Lefort, J.F. Miller, M. Radman, J. Ramsden. (2006)   Nature Review Genetics (NRG) 7(9):729-735, ISSN 1471-0056.  

Spontaneous Dynamics of Asymmetric Random Recurrent Spiking Neural Networks.   H. Soula, G. Beslon, O. Mazet. (2006)   Neural Computation 18(1):60-79. 

Spike-Timing Dependent Plasticity Learning for Visual-Based Obstacle Avoidance.   H. Soula, G. Beslon. (2006) In: 9th International Conference on Simulation of Adaptive Behavior, Springer ed. Roma. pp. 335-345. 

2005

Modeling the emergence of multi-protein dynamic structures by principles of self-organization through the use of 3DSpi, a Multi-Agent-based Software.   H. Soula, C. Robardet, F. Perrin, S. Gripon, G. Beslon, O Gandrillon. (2005)  BMC Bioinformatics 6(228).   

Simultaneaous optimization of weights and structure of an RBF neural network.   V. Lefort, C. Knibbe, G. Beslon, J. Favrel. (2005) In: Artificial Evolution, Proceedings of the 7th International Conference, EA 2005, Revised and selected papers, Talbi et al. ed. Lille, France. pp. 49-60. Lecture Notes on Computer Science (LNCS) 3871. Springer .   2005. 

Self adaptation of genome size in artificial organisms.   C. Knibbe, V. Lefort, F. Chaudier, G. Beslon, J.M. Fayard.   Dans Advances in Artificial Life, 8th European Conference, ECAL 2005, Capcarrere et al. ed. . pp. 423-432. Lecture Notes in Artificial Intelligence (LNAI) 3630. Springer.

Multi-agent modeling of dynamic multi-protein cellular structures.   C. Robardet, H. Soula, K. Frugier, S. Belin, J.J. Diaz, O Gandrillon, G. Beslon. (2005) In: Journées Ouvertes en Biologie, Informatique et Mathématiques (Jobim'2005), Lyon (France).

Learning at the Edge of Chaos: Temporal Coupling of Spiking Neuron Controller for Autonomous Robotics.   H. Soula, A. Alwan, G. Beslon. (2005)  (AAAI Spring symposia on developmental robotics), , Stanford (USA).

Evolution Versus Learning in Temporal Neural Networks.   H. Soula, G. Beslon, J. Favrel. (2005) Proceedings. of the Int. Conf. on Adaptive and Natural Computing (ICANNGA'05) , Cumbria (Portugal). 4 p.

2004

ROSO : Optimizing Oligonucleotide Probes for Microarrays.   N. Reymond, H. Charles, L. Duret, F. Calevro, G. Beslon, J.M. Fayard. (2004)  Bioinformatics 20(2):271-273.

A bio-inspired genetic algorithm with a self-organizing genome: the RBF-Gene model.   V. Lefort, C. Knibbe, G. Beslon, J. Favrel. (2004)  In: Genetic and Evolutionnary Computation (GECCO'04), Kalyanmoy Deb et al. ed. Seattle. pp. 406-407. Lecture Notes on Computer Science (LNCS) 3103.

Introducing proteins into genetic algorithms.   V. Lefort, C. Knibbe, G. Beslon, J. Favrel.   (2004) Complex Systems Intelligence and Modern Technological Applications (CSIMTA)), , Cherbourg (France). 

2003

Laissez-les Vivre ; La Codépendance Temporelle comme Clé de l’Apprentissage de Comportements Chez un Animat.   G. Beslon, H. Soula. (2003)  Technique et Science Informatiques 22(2):145-170.

2002

Coopération Implicite et Emergence dans des Groupes d’Agents.   G. Beslon. (2002)   In : Guillot A., Daucé E. (Coord.) Approche Dynamique de la Cognition Artificielle, Paris (France) : Eds. Hermès-Lavoisier, pp. 267-283.

Modularité et Apprentissage dans les Réseaux de Neurones Récurrents.   G. Beslon, E. Daucé. (2002)  In : Guillot A., Daucé E. (Coord.) Approche Dynamique de la Cognition Artificielle, Paris (France) : Eds. Hermès-Lavoisier, pp. 61-80.