A competitive distribution theory of neocortical dynamics
Neural Computation
Coordinate-free sensorimotor processing: computing with population codes
Neural Networks - Special issue on neural control and robotics: biology and technology
Investigating the Emergence of Speech Sounds
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Multi-Agent Simulations of the Evolution of Combinatorial Phonology
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
Cultural and biological evolution of phonemic speech
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
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Human sound systems are invariably phone-mically coded. Furthermore, phoneme inventories follow very particular tendancies. To explain these phenomena, there existed so far three kinds of approaches : "Chomskyan"/cognitive innatism, morpho-perceptual innatism and the more recent approach of "language as a complex cultural system which adapts under the pressure of efficient communication". The two first approaches are clearly not satisfying, while the third, even if much more convincing, makes a lot of speculative assumptions and did not really bring answers to the question of phonemic coding. We propose here a new hypothesis based on a low-level model of sensory-motor interactions. We show that certain very simple and non language-specific neural devices allow a population of agents to build signalling systems without any functional pressure. Moreover, these systems are phonemically coded. Using a realistic vowel articulatory synthesizer, we show that the inventories of vowels have striking similarities with human vowel systems.