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Andre L. Luvizotto
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2010 – 2019
- 2013
- [j2]Maxime Petit, Stéphane Lallée, Jean-David Boucher, Grégoire Pointeau, Pierrick Cheminade, Dimitri Ognibene, Eris Chinellato, Ugo Pattacini, Ilaria Gori, Uriel Martinez-Hernandez, Hector Barron-Gonzalez, Martin Inderbitzin, Andre L. Luvizotto, Vicky Vouloutsi, Yiannis Demiris, Giorgio Metta, Peter Ford Dominey:
The Coordinating Role of Language in Real-Time Multimodal Learning of Cooperative Tasks. IEEE Trans. Auton. Ment. Dev. 5(1): 3-17 (2013) - 2012
- [b1]Andre L. Luvizotto:
The Encoding and decoding of complex visual stimuli : a neural model to optimize and read out a temporal population code. Pompeu Fabra University, Spain, 2012 - [j1]Andre L. Luvizotto, César Rennó-Costa, Paul F. M. J. Verschure:
A wavelet-based neural model to optimize and read out a temporal population code. Frontiers Comput. Neurosci. 6: 21 (2012) - [c4]Andre L. Luvizotto, César Rennó-Costa, Paul F. M. J. Verschure:
A Framework for Mobile Robot Navigation Using a Temporal Population Code. Living Machines 2012: 144-155 - [c3]César Rennó-Costa, Andre L. Luvizotto, Alberto Betella, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
Internal Drive Regulation of Sensorimotor Reflexes in the Control of a Catering Assistant Autonomous Robot. Living Machines 2012: 238-249 - 2011
- [c2]César Rennó-Costa, Andre L. Luvizotto, Encarni Marcos, Armin Duff, Martí Sánchez-Fibla, Paul F. M. J. Verschure:
Integrating neuroscience-based models towards an autonomous biomimetic Synthetic Forager. ROBIO 2011: 210-215 - [c1]Andre L. Luvizotto, César Rennó-Costa, Ugo Pattacini, Paul F. M. J. Verschure:
The encoding of complex visual stimuli by a canonical model of the primary visual cortex: Temporal population code for face recognition on the iCub robot. ROBIO 2011: 313-318 - 2010
- [p1]Armin Duff, César Rennó-Costa, Encarni Marcos, Andre L. Luvizotto, Andrea Giovannucci, Martí Sánchez-Fibla, Ulysses Bernardet, Paul F. M. J. Verschure:
Distributed Adaptive Control: A Proposal on the Neuronal Organization of Adaptive Goal Oriented Behavior. From Motor Learning to Interaction Learning in Robots 2010: 15-41
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