Publications: 2010 2019-01-16T14:36:51+00:00

Project Description

2010 Publications

Z. Mathews, Bermúdez i Badia, S., and Verschure, P. F. M. J., “Action-Planning and Execution from Multimodal Cues: An Integrated Model for Artificial Autonomous Systems”, in Springer-Verlag, Studies in Computational Intelligence, Springer Verlag, 2010.

S. L. Groux and Verschure, P. F. M. J., “Adaptive music generation by reinforcement learning of musical tension”, Sound and Music Computing. Barcelona, 2010.

M. Sánchez-Fibla, Bernardet, U., Wasserman, E., Pelc, T., Mintz, M., Jackson, J. C., Lansink, C., Pennartz, C., and Verschure, P. F. M. J., “Allostatic Control for Robot Behavior Regulation: a Comparative Rodent-Robot Study”, Advances In Complex Systems, vol. 13, no. 3, p. 26, 2010.DOI

M. Sánchez-Fibla, Bernardet, U., and Verschure, P. F. M. J., “Allostatic Control for Robot Behaviour Regulation: an extension to path planning”, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2010), vol. In Press. 2010.

M. P. Inderbitzin, Herreros, I., and Verschure, P. F. M. J., “Amygdala Induced Plasticity in an Integrated Computational Model of the Two-Phase Theory of Conditioning”, 4th International Conference on Cognitive Systems (Cogsys2010). Zurich, Switzerland, 2010.

R. Zucca, Rasmussen, A., Herreros, I., Johansson, F., Verschure, P. F. M. J., and Hesslow, G., “A closed-loop framework to investigate cerebellar learning in the decerebrated ferret preparation”, Program No. 786.11. 2010 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2010. Online. 2010.

E. Marcos, Sánchez-Fibla, M., and Verschure, P. F. M. J., “The complementary roles of allostatic and contextual control systems in foraging tasks”, in From Animals to Animats 11, vol. 6226, S. Doncieux, Girard, B., Guillot, A., Hallam, J., Meyer, J. – A., and Mouret, J. – B. Springer Berlin / Heidelberg, 2010, pp. 370-379.

S. L. Groux, Manzolli, J., Sánchez-Fibla, M., Luvizotto, A., Guger, C., Prueckl, R., Mura, A., Väljamäe, A., Bernardet, U., and Verschure, P. F. M. J., “Disembodied and Collaborative Musical Interaction in the Multimodal Brain Orchestra”, New Interfaces for Musical Expression. Sydney, 2010.
LeGroux__2010__brain_orchestra__NIME.pdf (4.5 MB)
A. Duff, Rennó-Costa, C., Marcos, E., Luvizotto, A., Giovannucci, A., Sánchez-Fibla, M., Bernardet, U., and Verschure, P. F. M. J., “Distributed Adaptive Control: A proposal on the neuronal organization of adaptive goal oriented behavior”, in From Motor Learning to Interaction Learning in Robots, P. J. Sigaud, O. Springer Berlin / Heidelberg, 2010, pp. 15-41.

A. Duff, Rennó-Costa, C., Marcos, E., Luvizotto, A. L., Giovannucci, A., Sanchez-Fibla, M., Bernardet, U., and Verschure, P. F. M. J., “Distributed Adaptive Control: A proposal on the neuronal organization of adaptive goal oriented behavior”, in Studies in Computational Intelligence, From Motor Learning to Interaction Learning in Robots, vol. Volume 264/2010, O. Sigaud and Peters, J. Springer-Verlag Berlin Heidelberg, 2010, pp. 15-41.DOI

S. L. Groux and Verschure, P. F. M. J., “Emotional Responses to the Perceptual Dimensions of Timbre: A Pilot Study Using Physically Inspired Sound Synthesis”, Computer Music Modeling and Retrieval. Malaga, 2010.

E. Marcos, Sánchez-Fibla, M., and Verschure, P. F. M. J., “From continuous analog to discrete symbolic representations of the world in optimal foraging : a robot based study”, The 4th International Conference on Cognitive Systems , vol. 425. 2010.
Marcos_2010_COGSYS_Poster.pdf (3.68 MB)
Z. Mathews, Bermúdez i Badia, S., and Verschure, P. F. M. J., “An Insect-Based Method for Learning Landmark Reliability Using Expectation Reinforcement in Dynamic Environments”, in IEEE International Conference on Robotics and Automation (ICRA2010), Anchorage, Alaska, 2010.

M. P. Inderbitzin, Herreros, I., and Verschure, P. F. M. J., “An Integrated Computational Model of the Two Phase Theory of Conditioning”, World Congress of Computational Intelligence. Barcelona, Spain, 2010.

U. Bernardet and Verschure, P. F. M. J., “iqr: A tool for the construction of multi-level simulations of brain and behaviour”, Neuroinformatics, vol. 8, no. 2, pp. 113-134, 2010.DOI

C. Rennó-Costa, Lisman, J. E., and Verschure, P. F. M. J., “The Mechanism of Rate Remapping in the Dentate Gyrus”, Neuron, vol. 68, no. 6, pp. 1051-1058, 2010.

E. Marcos, Duff, A., Sánchez-Fibla, M., and Verschure, P. F. M. J., “The neuronal substrate underlying order and interval representations in sequential tasks: a biologically based robot study”, in International Joint Conference on Neural Networks, 2010.

M. Cameirão, Bermúdez i Badia, S., Oller, E. D., and Verschure, P. F. M. J., “Neurorehabilitation using the Virtual Reality based Rehabilitation Gaming System: Methodology, design, psychometrics, usability and validation”, Journal of NeuroEngineering and Rehabilitation, vol. 7, no. 48, 2010.DOI

S. Bermúdez i Badia, Bernardet, U., and Verschure, P. F. M. J., “Non-Linear Neuronal Responses as an Emergent Property of Afferent Networks: A Case Study of the Locust Lobula Giant Movement Detector”, PLoS Computational Biology, vol. 6, no. 3, 2010.DOI

A. Giovannucci, Bamford, S., Herreros, I., Taub, A., Hogri, R., Prueckl, R., R. Zucca, G. C., Mintz, M., Silmon, A., Giudice, D. P., and Verschure, P. F. M. J., “Replacing a cerebellar microcircuit with an autonomous neuroprosthetic device”, Program No. 786.18. 2010 Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2010. Online. 2010.

M. Lechón, Martinez, D., Verschure, P. F. M. J., and Bermúdez i Badia, S., “The role of neural synchrony and rate in high-dimensional input systems. The Antennal Lobe: a case study.”, in International Joint Conference on Neural Networks, 2010.

T. Steffert, Väljamäe, A., Fernandez-Morales, J., Kropotov, J., Verschure, P. F. M. J., and Pozo-Rosich, P., “Slowing of sensory event related potentials (ERPs) in migraine: Search for an endophenotype”, Human Brain Mapping 2010. 2010.

A. Duff and Verschure, P. F. M. J., “Unifying Perceptual and Behavioral Learning with a Correlative Subspace Learning Rule”, Neurocomputing, vol. 73, pp. 1818–1830, 2010.DOI
Duff_2010_Unifying_Perceptual_and_Behavioral_Learning_Neurocom.pdf (1.34 MB)