Structural sensitivity of neural and genetic networks

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5317 LNAI, Issue , 2008, Pages 973-986

  Ben Amor, Hedi ^a   Demongeot, Jacques ^a   Sené, Sylvain ^a,b  

^a LABORATOIRE TIMC IMAG   (France)

^b ENS Lyon   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; ASYMPTOTIC ANALYSIS; BIONICS; MODULATION; NEURAL NETWORKS;

ASYMPTOTIC BEHAVIOURS; BIOLOGICAL NETWORKS; BOOLEAN NETWORKS; EVOLUTION LAWS; EXTERNAL FIELDS; GENETIC NETWORKS; HOPFIELD; MICRO RNAS; NEW RESULTS; STRUCTURAL SENSITIVITIES;

HOPFIELD NEURAL NETWORKS;

EID: 57049178292     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88636-592     Document Type: Conference Paper

References (26)

1. Maslov, S., Sneppen, K., Eriksen, K.A., Yan, K.K.: Upstream Plasticity and Downstream Robustness in Evolution of Molecular Networks. BMC Evolutionary Biology 4(9) (2004)
2. Handorf, T., Ebenhöh, O., Heinrich, R.: Expanding Metabolic Networks: Scopes of Compounds, Robustness, and Evolution. Journal of Molecular Evolution 61(4), 498-512 (2005)
3. Kitano, H.: Towards a Theory of Biological Robustness. Molecular Systems Biology 3 (2007)
4. Kitano, H.: Biological Robustness in Complex Host-Pathogen Systems. Progress in Drug Research 64(239), 241-263 (2007)
5. Ye, P., Peyser, B.D., Spencer, FA., Bader, J.S.: Commensurate Distances and Similar Motifs in Genetic Congruence and Protein Interaction Networks in Yeast. BMC Bioinformatics 6, 270 (2005)
6. Demongeot, J., Morvan, M., Sené, S.: Impact of Fixed Boundary Conditions on the Basins of Attraction in the Flower's Morphogenesis of Arabidopsis Thaliana. In: Proceedings of the 22nd International Conference on Advanced Information Networking and Applications Workshops, pp. 782-789. IEEE Computer Society Press, Los Alamitos (2008)
7. Demongeot, J., Morvan, M., Sené, S.: Robustness of Dynamical Systems Attraction Basins Against State Perturbations: Theoretical Protocol and Application in Systems Biology. In: Proceedings of the 2nd International Conference on Complex Intelligent and Software Intensive Systems, pp. 675-681. IEEE Computer Society Press, Los Alamitos (2008)
8. Hopfield, J.J.: Neural Networks and Physical Systems with Emergent Collective Computational Abilities. Proceedings of the National Academy of Sciences of the United States of America 79, 2554-2558 (1982)
9. Albert, R., Barabási, A.L.: Statistical Mechanics of Complex Networks. Reviews of Modern Physics 74, 47-97 (2002)
10. Barabási, A.L., Oltvai, Z.N.: Network Biology: Understanding the Cell's Functional Organization. Nature Reviews Genetics 5, 101-113 (2004)
11. Wolfram, S.: Statistical mechanics of cellular automata. Reviews of Modern Physics 55, 601-644 (1983)
12. Ayoubi, R.A., Ziade, H.A., Bayoumi, M.A.: Fault Tolerant Hopfield Associative Memory on Torus. In: Proceedings of the 18th IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems, p. 369, 8 pages. IEEE Computer Society Press, Los Alamitos (2003)
13. Regnault, D., Schabanel, N., Thierry, E.: Progresses in the Analysis of Stochastic 2D Cellular Automata: A Study of Asynchronous 2D Minority. In: Kučera, L., Kučera, A. (eds.) MFCS 2007. LNCS, vol. 4708, pp. 320-332. Springer, Heidelberg (2007)
14. Demongeot, J., Sené, S.: Boundary Conditions and Phase Transitions in Neural Networks. Simulation Results. Neural Networks (to appear, 2008)
15. Withfield, M.L., Sherlock, G., Saldanha, A.J., Murray, J.I., Ball, C.A., Alexander, K.E., Matese, C., Perou, C.M., Hurt, M.M., Botstein, D.: Identification of Genes Periodically Expressed in the Human Cell Cycle and Their Expression in Tumors. Molecular Biology of the Cell 13, 1977-2000 (2002)
16. Abacci, A.: A Modelisation of the CCMRN in Superior Eukaryotes Cell Population. Master's thesis, University Joseph Fourier of Grenoble (2006)
17. Demongeot, J., Aracena, J., Thuderoz, F., Baum, T.P., Cohen, O.: Genetic Regulation Networks: Circuits, Regulons and Attractors. Comptes Rendus Biologies 326, 171-188 (2003)
18. Demongeot, J., Thuderoz, F., Baum, T.P., Berger, F., Cohen, O.: Bio-array Images Processing and Genetic Networks Modelling. Comptes Rendus Biologies 326, 487500 (2003)
19. Aracena, J., Ben Lamine, S., Mermet, MA., Cohen, O., Demongeot, J.: Mathematical Modelling in Genetic Networks: Relationships Between the Genetic Expression and Both Chromosomic Breakage and Positive Circuits. IEEE Transactions in Systems Man Cybernetics 3, 825-834 (2003)
20. Aracena, J., Demongeot, J., Goles, E.: Mathematical Modelling in Genetic Networks. IEEE Transaction in Neural Networks 15, 77-83 (2004)
21. Aracena, J., Demongeot, J., Goles, E.: Fixed Points and Maximal Independent Sets on AND-OR Networks. Discrete Applied Mathematics 138, 277-288 (2004)
22. Aracena, J., Demongeot, J., Goles, E.: On Limit Cycles of Monotone Functions With Symmetric Connection Graphs. Theoretical Computer Science 322, 237-244 (2004)
23. Aracena, J., Demongeot, J.: Mathematical Methods for Inferring Regulatory Networks Interactions: Application to Genetic Regulation. Acta Biotheoretica 51, 391-400 (2004)
24. Michon, F., Forest, L., Collomb, E., Demongeot, J., Dhouailly, D.: BMP-2 and BMP-7 Play Antagonistic Roles in Feather Induction. Development (in press, 2008)
25. Elena, A., Demongeot, J.: Interaction Motifs in Regulatory Networks and Structural Robustness. In: Proceeding of the International Conference on Complex, Intelligent and Software Intensive Systems, pp. 682-686. IEEE Computer Society Press, Los Alamitos (2008)
26. Demongeot, J., Moreira, A.: A Circular RNA at the Origin of Life. Journal of Theoretical Biology 249, 314-324 (2007)