Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-22T03:27:35.888Z Has data issue: false hasContentIssue false
  • English
  • Français

The sensorimotor and social sides of the architecture of speech

Published online by Cambridge University Press:  17 December 2014

Giovanni Pezzulo ,
Laura Barca  and
Alessando D'Ausilio
Giovanni Pezzulo
Affiliation:
Institute of Cognitive Sciences and Technologies, National Research Council, 00185 Rome, Italy. giovanni.pezzulo@istc.cnr.itlaura.barca@istc.cnr.ithttps://sites.google.com/site/giovannipezzulo/https://sites.google.com/site/laurabarcahomepage/
Laura Barca
Affiliation:
Institute of Cognitive Sciences and Technologies, National Research Council, 00185 Rome, Italy. giovanni.pezzulo@istc.cnr.itlaura.barca@istc.cnr.ithttps://sites.google.com/site/giovannipezzulo/https://sites.google.com/site/laurabarcahomepage/
Alessando D'Ausilio
Affiliation:
Robotics, Brain and Cognitive Sciences Department, Italian Institute of Technology, 16163 Genova, Italy. alessandro.dausilio@iit.ithttp://www.iit.it/people/robotics-brain-and-cognitive-sciences-mirror-neurons-and-interaction-lab/researcher/alessandro-dausilio.html
Get access Rights & Permissions [Opens in a new window]

Abstract

Speech is a complex skill to master. In addition to sophisticated phono-articulatory abilities, speech acquisition requires neuronal systems configured for vocal learning, with adaptable sensorimotor maps that couple heard speech sounds with motor programs for speech production; imitation and self-imitation mechanisms that can train the sensorimotor maps to reproduce heard speech sounds; and a “pedagogical” learning environment that supports tutor learning.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 37 , Issue 6 , December 2014 , pp. 569 - 570
Copyright
Copyright © Cambridge University Press 2014 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Ackermann, H. (2008) Cerebellar contributions to speech production and speech perception: Psycholinguistic and neurobiological perspectives. Trends in Neurosciences 31(6):265–72. doi: 10.1016/j.tins.2008.02.011.Google Scholar
Brainard, M. S. & Doupe, A. J. (2002) What songbirds teach us about learning. Nature 417:351–58.Google Scholar
Caligiore, D., Pezzulo, G., Miall, R. C. & Baldassarre, G. (2013) The contribution of brain sub-cortical loops in the expression and acquisition of action understanding abilities. Neuroscience and Biobehavioral Reviews 37(10):2504–15.Google Scholar
Canevari, C., Badino, L., D'Ausilio, A., Fadiga, L. & Metta, G. (2013) Modeling speech imitation and ecological learning of auditory-motor maps. Frontiers in Psychology 4:364.Google Scholar
Chersi, F., Ferro, M., Pezzulo, G. & Pirrelli, V. (2014) Topological self-organization and prediction learning can support both action and lexical chains in the brain. Topics in Cognitive Science 6(3):476–91.Google Scholar
Csibra, G. & Gergely, G. (2011) Natural pedagogy as evolutionary adaptation. Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences 366:1149–57.Google Scholar
D'Ausilio, A., Craighero, L. & Fadiga, L. (2012) The contribution of the frontal lobe to the perception of speech. Journal of Neurolinguistics 25:328–35.Google Scholar
Dehaene, S. & Cohen, L. (2007) Cultural recycling of cortical maps. Neuron 56(2):384–98. doi: 10.1016/j.neuron.2007.10.004.Google Scholar
Dindo, H., Zambuto, D. & Pezzulo, G. (2011) Motor simulation via coupled internal models using sequential Monte Carlo. In: Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence (IJCAI), Barcelona, Catalonia, Spain, 16–22 July 2011, ed. Walsh, Toby, pp. 2113–19. AAAI Press/International Joint Conferences on Artificial Intelligence.Google Scholar
Fadiga, L., Craighero, L. & D'Ausilio, A. (2009) Broca's area in language, action, and music. Annals of the New York Academy of Sciences 1169(1):448–58. doi: 10.1111/j.1749-6632.2009.04582.x.Google Scholar
Friston, K. (2010) The free-energy principle: A unified brain theory? Nature Reviews Neuroscience 11:127–38.Google Scholar
Guenther, F. H. & Perkell, J. S. (2004) A neural model of speech production and its application to studies of the role of auditory feedback in speech. In: Speech motor control in normal and disordered speech, ed. Maassen, B., Kent, R., Peters, H., Lieshout, P. Van & Hulstijn, W., pp. 29–49. Oxford University Press.Google Scholar
Hinton, G. E. (2007) Learning multiple layers of representation. Trends in Cognitive Sciences 11:428–34.Google Scholar
Kiebel, S. J., Daunizeau, J. & Friston, K. J. (2008) A hierarchy of time-scales and the brain. PLOS Computational Biology 4:e1000209.Google Scholar
Merker, B. (2012) The vocal learning constellation: Imitation, ritual culture, encephalization. In: Music, language and human evolution, ed. Bannan, N., pp. 215–60. Oxford University Press.Google Scholar
Moore, R. K. (2007) PRESENCE: A human-inspired architecture for speech-based human-machine interaction. IEEE Transactions on Computers 56:1176–88.Google Scholar
Pezzulo, G. (2012a) An Active Inference view of cognitive control. Frontiers in Psychology 3:478. doi: 10.3389/fpsyg.2012.00478.Google Scholar
Pezzulo, G. (2012b) The “Interaction Engine”: A common pragmatic competence across linguistic and non-linguistic interactions. IEEE Transactions on Autonomous Mental Development 4:105–23.Google Scholar
Pezzulo, G. (2013) Studying mirror mechanisms within generative and predictive architectures for joint action. Cortex 49:2968–69.Google Scholar
Pezzulo, G., Donnarumma, F. & Dindo, H. (2013) Human sensorimotor communication: A theory of signaling in online social interactions. PLOS ONE 8:e79876.CrossRefGoogle ScholarPubMed
Pickering, M. J. & Garrod, S. (2013) An integrated theory of language production and comprehension. Behavioral and Brain Sciences 36(4):329–47.Google Scholar
Prather, J. F., Peters, S., Nowicki, S. & Mooney, R. (2008) Precise auditory–vocal mirroring in neurons for learned vocal communication. Nature 451:305–10.Google Scholar
Sebanz, N., Bekkering, H. & Knoblich, G. (2006) Joint action: Bodies and minds moving together. Trends in Cognitive Sciences 10:70–76.Google Scholar
Yildiz, I. B., von Kriegstein, K. & Kiebel, S. J. (2013) From birdsong to human speech recognition: Bayesian inference on a hierarchy of nonlinear dynamical systems. PLOS Computational Biology 9:e1003219.Google Scholar