Robotic Experiments and Comparisons

1. J.D. Armstrong, J.I. van Hemert, Towards a virtual fly brain. Phil. Trans. R. Soc. A 367, 2387–2397 (2009)

   Article  Google Scholar 

2. P. Arena, C. Berg, L. Patané, R. Strauss, P.S. Termini, An insect brain computational model inspired by drosophila melanogaster: architecture description, in WCCI 2010 IEEE World Congress on Computational Intelligence (Barcelona, Spain, 2010), pp. 831–837

   Google Scholar 

3. P. Arena, L. Patané, P.S. Termini, An insect brain computational model inspired by drosophila melanogaster: simulation results, in WCCI 2010 IEEE World Congress on Computational Intelligence (Barcelona, Spain, 2010), pp. 838–845

   Google Scholar 

4. P. Arena, S. De Fiore, L. Patané, M. Pollino, C. Ventura, Insect inspired unsupervised learning for tactic and phobic behavior enhancement in a hybrid robot, in WCCI 2010 IEEE World Congress on Computational Intelligence (Barcelona, Spain, 2010), pp. 2417–2424

   Google Scholar 

5. P. Arena, L. Patané, M. Pollino, and C. Ventura, Tribot: a hybrid robot for cognitive algorithm implementation, in 18th IEEE Workshop on Nonlinear Dynamics of Electronic Systems (NDES), (2010), pp. 1–6

   Google Scholar 

6. P. Arena, L. Fortuna, M. Frasca, L. Patané, M Pollino, An autonomous mini-hexapod robot controlled through a cnn-based cpg vlsi chip, in Proceedings of the 10th IEEE International Workshop on Cellular Neural Networks and their Applications, Istanbul, Turkey, 28 (2006)

   Google Scholar 

7. P. Arena, M. Cosentino, L. Patané, A. Vitanza, Sparkrs4cs: a software/hardware framework for cognitive architectures, in 5th SPIE’s International Symposium on Microtechnologies (Czech Republic, Prague, 2011), pp. 1–12

   Google Scholar 

8. P. Arena, L. Patané, P.S. Termini, A. Vitanza, R. Strauss, Software/hardware issues in modelling insect brain architecture, in 4th International Conference on Intelligent Robotics and Applications (ICIRA), Aachen, Germany, (2011)

   Google Scholar 

9. M. Mronz, R. Strauss, Visual motion integration controls attractiveness of objects in walking flies and a mobile robot, in International Conference on Intelligent Robots and Systems (Nice, France, 2008), pp. 3559–3564

   Google Scholar 

10. L. Alba, P. Arena, S. De Fiore, L. Patané, R. Strauss, G. Vagliasindi, Implementation of a drosophila-inspired model on the eye-ris platform, in Proceedings of the IEEE International Conference of CNNA, Berkley (2010)

    Google Scholar 

11. P. Arena, S. De Fiore, L. Patané, L. Alba, R. Strauss, Drosophila-inspired visual orientation model on the eye-ris platform: experiments on a roving robot, in Proceedings of the SPIE Microthecnologies Conference, Prague

    Google Scholar 

12. K.G. Gotz, R. Biesinger, Centrophobism in drosophila melanogaster. physiological approach to search and search control. J. Comp. Physiol. A 156, 329–337 (1987)

    Article  Google Scholar 

13. S. De Belle, M.B. Sokolowski, Heredity of rover/sitter: alternative foraging strategies of drosophila melanogaster larvae. Heredity 59, 73–83 (1987)

    Article  Google Scholar 

14. H. Schwegler, T. Wittmann, Path integration—a network model. Biol. Cybern. 73, 569–575 (1995)

    Article  MATH  Google Scholar 

15. D.A. Redish, D.S. Touretzky, H.S. Wan, The sinusoidal array: atheory of representation for spatial vectors, in Proceedings of Computational Neurosciences Conference Kluwer Academic Press, (1993)

    Google Scholar 

16. D. Rumelhart, J. McClelland, Parallel distributed processing (MIT Press, Cambridge, MA, 1986)

    Google Scholar 

17. L. Chittka, P. Skorupski, N.E. Raine, Speed-accuracy tradeoffs in animal decision making. Trends Ecol. Evol. 24, 400–407 (2009)

    Article  Google Scholar 

18. P. Arena, S. De Fiore L. Patané, M. Pollino, C. Ventura, Stdp-based behavior learning on tribot robot, in Proceedings of IEEE/RSJ International Conference SPIE (2009)

    Google Scholar 

19. P. Arena, L. Fortuna, M. Frasca, L. Patané, Learning anticipation via spiking networks: application to navigation control. IEEE Trans. Neural Networks 20(2), 202–216 (2009)

    Article  Google Scholar 

20. P. Arena, L. Patané, Simple sensors provide inputs for cognitive robots. Instrum. Meas. Mag. 12(3), 13–20 (2009)

    Article  Google Scholar 

21. S. Tang, A. Guo, Choice behavior of drosophila facing contradictory visual cues. Science 294, 1543–1547 (2001)

    Article  Google Scholar 

22. P. Arena, L. Patané, P.S. Termini, Decision making processes in the fruit fly: a computational model, in Frontiers in Artificial Intelligence and Applications—Proceedings of the 21st Italian Workshop on Neural Nets, vol. 234 (Seville, Spain, 2011), pp. 284–291

    Google Scholar 

23. B. van Swinderen, Attention in drosophila. Int. Rev. Neurobiol. 99, 51–85 (2011)

    Article  Google Scholar 

24. M. Rabinovich, A. Volkovskii, P. Lecanda, R. Huerta, H.D.I Abarbanel, G. Laurent, Dynamical encoding by networks of competing neuron groups: winnerless competition. Phys. Rev. Lett. 37, 068102 (2001)

    Google Scholar 

25. P. Arena, L. Fortuna, D. Lombardo, L. Patané, M. Velarde, The winnerless competition paradigm in cellular nonlinear networks: models and applications. Int. J. Circ. Theor. Appl. 37, 505–528 (2009)

    Article  MATH  Google Scholar 

26. P. Arena, L. Patané, V. Stornanti, P.S. Termini, B. Zaepf, and R. Strauss, Modelling the insect mushroom bodies: application to a delayed match to sample task. Neural Networks (special issue on Autonomous Learning), doi: 10.1016/j.neunet.2012.11.013, 2012

    Google Scholar 

27. P. Arena, L. Patané, P.S. Termini, Learning expectation in insects: a recurrent spiking neural model for spatio-temporal representation. Neural Networks 32, 35–45 (2012)

    Article  Google Scholar 

28. P. Arena, L. Patané, P.S. Termini, Modeling attentional loop in the insect mushroom bodies, in International Joint Conference on Neural Networks (IJCNN), (2012), pp. 7–12

    Google Scholar 

Download references