The competitive and multi-faceted nature of neural coding in motor imagery: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by V. Mohan et al.

Article

Chinellato, E. 2019. The competitive and multi-faceted nature of neural coding in motor imagery: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by V. Mohan et al. Physics of life reviews. https://doi.org/10.1016/j.plrev.2019.02.003
TypeArticle
TitleThe competitive and multi-faceted nature of neural coding in motor imagery: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by V. Mohan et al.
AuthorsChinellato, E.
PublisherElsevier
JournalPhysics of life reviews
ISSN1873-1457
Publication dates
Online20 Feb 2019
Publication process dates
Deposited17 Mar 2019
Accepted18 Feb 2019
Output statusPublished
Accepted author manuscript
License
Additional information

** From PubMed via Jisc Publications Router
** History: received 04-02-2019;
accepted 18-02-2019.

Digital Object Identifier (DOI)https://doi.org/10.1016/j.plrev.2019.02.003
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/8830x

Log in to edit

Download files

Accepted author manuscript
PoLRv0.pdf
License: CC BY-NC-ND 4.0

  • 39
    total views
  • 8
    total downloads
  • 1
    views this month
  • 2
    downloads this month

Export as

Related outputs

Affective visuomotor interaction: a functional model for socially competent robot grasping
Chinellato, E., Ferretti, G. and Irving, L. 2019. Affective visuomotor interaction: a functional model for socially competent robot grasping. Martinez-Hernandez, U., Vouloutsi, V., Mura, A., Mangan, M., Minoru, A., Prescott, T. and Verschure, P. (ed.) 8th International Conference, Living Machines 2019. Nara, Japan 09 - 12 Jul 2019 Springer, Cham. pp. 51-62 https://doi.org/10.1007/978-3-030-24741-6_5
Advances in human-computer interactions: methods, algorithms, and applications
Solari, F., Chessa, M., Chinellato, E. and Bresciani, J. 2018. Advances in human-computer interactions: methods, algorithms, and applications. Computational Intelligence and Neuroscience. 2018. https://doi.org/10.1155/2018/4127475
Feature space analysis for human activity recognition in smart environments
Chinellato, E., Hogg, D. and Cohn, A. 2016. Feature space analysis for human activity recognition in smart environments. 12th International Conference on Intelligent Environments (IE). London, United Kingdom 14 - 16 Sep 2016 Institute of Electrical and Electronics Engineers (IEEE). pp. 194-197 https://doi.org/10.1109/IE.2016.43
Sensorial computing
Varsani, P., Moseley, R., Jones, S., James-Reynolds, C., Chinellato, E. and Augusto, J. 2018. Sensorial computing. in: Filimowicz, M. and Tzankova, V. (ed.) New Directions in Third Wave Human-Computer Interaction: Volume 1 - Technologies Cham, Switzerland Springer. pp. 265-284
The STRANDS project: long-term autonomy in everyday environments
Hawes, N., Burbridge, C., Jovan, F., Kunze, L., Lacerda, B., Mudrova, L., Young, J., Wyatt, J., Hebesberger, D., Kortner, T., Ambrus, R., Bore, N., Folkesson, J., Jensfelt, P., Beyer, L., Hermans, A., Leibe, B., Aldoma, A., Faulhammer, T., Zillich, M., Vincze, M., Chinellato, E., Al-Omari, M., Duckworth, P., Gatsoulis, Y., Hogg, D., Cohn, A., Dondrup, C., Pulido Fentanes, J., Krajnik, T., Santos, J., Duckett, T. and Hanheide, M. 2017. The STRANDS project: long-term autonomy in everyday environments. IEEE Robotics & Automation Magazine. 24 (3), pp. 146-156. https://doi.org/10.1109/MRA.2016.2636359
Decoding information for grasping from the macaque dorsomedial visual stream
Filippini, M., Breveglieri, R., Akhras, M., Bosco, A., Chinellato, E. and Fattori, P. 2017. Decoding information for grasping from the macaque dorsomedial visual stream. The Journal of Neuroscience. 37 (16), pp. 4311-4322. https://doi.org/10.1523/JNEUROSCI.3077-16.2017
An incremental von mises mixture framework for modelling human activity streaming data
Chinellato, E., Mardia, K., Hogg, D. and Cohn, A. 2017. An incremental von mises mixture framework for modelling human activity streaming data. International Work-Conference on Time Series Analysis (ITISE 2017). Granada, Spain 18 - 20 Sep 2017 pp. 379-389
Adaptive saccade controller inspired by the primates' cerebellum
Antonelli, M., Duran, A., Chinellato, E. and Del Pobil, A. 2015. Adaptive saccade controller inspired by the primates' cerebellum. IEEE International Conference on Robotics and Automation (ICRA). Seattle, Washington, USA 26 - 30 May 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 5048-5053 https://doi.org/10.1109/ICRA.2015.7139901
Motor interference in interactive contexts
Chinellato, E., Castiello, U. and Sartori, L. 2015. Motor interference in interactive contexts. Frontiers in Psychology. 6. https://doi.org/10.3389/fpsyg.2015.00791
The visual neuroscience of robotic grasping: achieving sensorimotor skills through dorsal-ventral stream integration
Chinellato, E. and Del Pobil, A. 2016. The visual neuroscience of robotic grasping: achieving sensorimotor skills through dorsal-ventral stream integration. Springer.
Unsupervised grounding of textual descriptions of object features and actions in video
Alomari, M., Chinellato, E., Gatsoulis, Y., Hogg, D. and Cohn, A. 2016. Unsupervised grounding of textual descriptions of object features and actions in video. 15th International Conference Principles of Knowledge Representation and Reasoning (KR 2016). Cape Town, South Africa 25 - 29 Apr 2016 Association for the Advancement of Artificial Intelligence (AAAI). pp. 505-508
Learning the visual–oculomotor transformation: effects on saccade control and space representation
Antonelli, M., Duran, A., Chinellato, E. and Del Pobil, A. 2015. Learning the visual–oculomotor transformation: effects on saccade control and space representation. Robotics and Autonomous Systems. 71, pp. 13-22. https://doi.org/10.1016/j.robot.2014.11.018
The multiform motor cortical output: kinematic, predictive and response coding
Sartori, L., Betti, S., Chinellato, E. and Castiello, U. 2015. The multiform motor cortical output: kinematic, predictive and response coding. Cortex. 70, pp. 169-178. https://doi.org/10.1016/j.cortex.2015.01.019
A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot
Antonelli, M., Gibaldi, A., Beuth, F., Duran, A., Canessa, A., Chessa, M., Solari, F., Del Pobil, A., Hamker, F., Chinellato, E. and Sabatini, S. 2014. A hierarchical system for a distributed representation of the peripersonal space of a humanoid robot. IEEE Transactions on Autonomous Mental Development. 6 (4), pp. 259-273. https://doi.org/10.1109/TAMD.2014.2332875