Abstract
Understanding the brain and the cognitive mechanisms is a central question for philosophers, neuroscientists, psychologs and engineers as well. In our team, we try to reconcile the old cybernetic approach with neural network modelling and artificial intelligence. This neurocybernetics approach aims at participating in the effort to build a science of the cognition. Our goal is clearly not to design optimal solutions for a particular problem but to try to understand what are the mechanisms allowing the brain to adapt itself in order to survive to a wide variety of unpredictable situations. Hence, robots can be seen as simulation tools allowing to test the behavioral consequences of a particular model in almost real conditions. We use Koala mobile robots (see fig. 1) equipped with one pan-tilt ”head” and a 5 degrees of freedom Katana arm. The pan-tilt head can rotates 180 degrees horizontally and vertically, and supports a single CCD color camera.
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References
Aggleton, J.P., Brown, M.W.: Episodic memory, amnesia, and the hippocampalanterior thalamic axis. Behav. Brain Sci. 22, 425–489 (1999)
Andry, P., Gaussier, P., Moga, S., Banquet, J.P., Nadel, J.: Learning and communication in imitation: An autonomous robot perspective. IEEE transactions on Systems, Man and Cybernetics, Part A 31(5), 431–444 (2001)
Andry, P., Moga, S., Gaussier, P., Revel, A., Nadel, J.: Imitation: learning and communication. In: Meyer, J.A., Berthoz, A., Floreano, D., Roitblat, H., Wilson, S. (eds.) Proceedings of the 6th International Conference on Simulation of Adaptive Behavior, Paris. The MIT Press, Cambridge (2000)
Andry, P., Gaussier, P., Nadel, J.: Development of the firsts sensori-motor stages: a contribution to imitation. In: Meyer, J.A., Berthoz, A., Floreano, D., Roitblat, H., Wilson, S. (eds.) 7th International Conference on Simulation of Adaptive Behavior (2002)
Banquet, J.P., Gaussier, P., Contreras-Vidal, J.L., Burnod, Y.: The corticalhippocampal system as a multirange temporal processor: A neural model. In: Park, R., Levin, D. (eds.) Fundamentals of neural network modeling for neuropsychologists, Boston. MIT Press, Cambridge (1998)
Bunsey, M., Eichenbaum, H.: Conservation of hippocampal memory function in rats and humans. Nature 379, 255–257 (1996)
Decety, J.: Do imaged and executed actions share the same substrate? Cognitive Brain Research 3, 87–93 (1996)
Decety, J., Grezes, J., Costes, N., Perani, D., Jeannerod, M., Procyk, E., Gradssi, F., Fazio, F.: Brain activity during observation of actions. Brain 120, 1763–1777 (1997)
Gaussier, P., Joulain, C., Banquet, J.P., Lepretre, S., Revel, A.: The visual homing problem: an example of robotics/biology cross fertilization. Robotics and autonomous system 30 (2000)
Gaussier, P., Moga, S., Quoy, M., Banquet, J.P.: From perception-action loops to imitation processes: a bottom-up approach of learning by imitation. Applied Artificial Intelligence 12(7-8), 701–727 (1998)
Gaussier, P., Revel, A., Banquet, J.P., Babeau, V.: From view cells and place cells to cognitive map learning: processing stages of the hippocampal system. Biological Cybernetics 86, 15–28 (2002)
Gaussier, P., Zrehen, S.: Perac: A neural architecture to control artificial animals. Robotics and Autonomous Systems 16(2-4), 291–320 (1995)
Jacobson, S.: Matching behaviour in the young infant. Child Development 50, 425–430 (1979)
Jeannerod, M.: To act or not to act. perspectives on the representation of actions. Quaterly Journal of Experimental Psychology 52A, 1–29 (1999)
O’Keefe, J., Nadel, N.: The hippocampus as a cognitive map. Clarendon Press, Oxford (1978)
Moga, S., Revel, A., Banquet, J.P., Gaussier, P., Joulain, C.: Learning, recognition and generation of temporo-spatial sequences by a cortico-hippocampal system: A neural network model. In: Proceedings of the conference on Vision, Recognition, Action: Neural Models of Mind and Machine, pp. 46 (1997)
Kelso, J.A.S.: Dynamic patterns: the self-organization of brain and behavior. MIT Press, Cambridge (1995)
Lepretre, S., Gaussier, P., Cocquerez, J.P.: From navigation to active object recognition. In: The 6th International Conference on Simulation for Adaptive Behavior SAB’2000, Paris. MIT Press, Cambridge (2000)
Meltzoff, A., Moore, M.K.: Explaining facial imitation: A theoretical model. Early Development and Parenting 6 (1997)
Meltzoff, A., Moore, M.K.: Persons and representation: why infants imitation is important for theories of human development. In: Nadel, J., Butterworth, G. (eds.) Imitation in Infancy, pp. 9–35. Cambridge University Press, Cambridge (1999)
Muir, D., Nadel, J.: Infant social perception. In: Slater, A. (ed.) Perceptual development, pp. 247–285. Psychology Press, Hove (1998)
Nadel, J.: The functional use of imitation in preverbal infants and nonverbal children with autism. In: Meltzoff, A., Prinz, W. (eds.) The Imitative Mind: Development, Evolution and Brain Bases. Cambridge University Press, Cambridge (2000) (in press)
Nadel, J.: Imitation and imitation recognition: their functional use in preverbal infants and nonverbal children with autism. In: Meltzoff, A., Prinz, W. (eds.) The imitative mind:Development, Evolution and Brain Bases, pp. 42–62. Cambridge University Press, Cambridge (2002)
Nadel, J., Guerini, C., Peze, A., Rivet, C.: The evolving nature of imitation as a format for communication. In: Nadel, J., Butterworth, G. (eds.) Imitation in Infancy, pp. 209–234. Cambridge University Press, Cambridge (1999)
Nadel, J., Potier, C.: Imiter et être imité: leur róle dans le développement de l’intentionnalité. In: Nadel, J., Decety, J. (eds.) Imitation, représentations motrices et intentionnalité. Paris: PUF: Sciences de la Pensée (2002)
O’Keefe, J.: The hippocampal cognitive map and navigational strategies. In: Paillard, J. (ed.) Brain and Space, pp. 273–295. Oxford University Press, Oxford (1991)
Perret, D.I., Oram, M.W.: Modelling visual recognition from neurobiological constraints. Neural Networks 7(6/7), 945–972 (1994)
Rizzolatti, G.: From mirror neurons to imitation: Facts and speculations. In: Meltzoff, A., Prinz, W. (eds.) The Imitative Mind: Development, Evolution and Brain Bases. Cambridge University Press, Cambridge (2002) (in press)
Scoville, W.B., Milner, B.: Loss of recent memory after bilateral hippocampal lesions. Journal of Neurology, Neurosurgery and Psychiatry 20, 11–21 (1957)
Thompson, R.F.: Neural mechanism of classical conditioning in mammals. Phil. Trans. R. Soc. Lond. B 329, 161–170 (1990)
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Gaussier, P., Andry, P., Banquet, J.P., Quoy, M., Nadel, J., Revel, A. (2003). Robots as Models of the Brain: What Can We Learn from Modelling Rat Navigation and Infant Imitation Games?. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_52
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DOI: https://doi.org/10.1007/978-3-540-39907-0_52
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