Ricardo Martins

Orcid: 0000-0001-7184-185X

Affiliations:
  • University of Coimbra, Electrical and Computer Engineering Department, Portugal (PhD 2017)


According to our database1, Ricardo Martins authored at least 11 papers between 2008 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

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Bibliography

2020
Identification of competing neural mechanisms underlying positive and negative perceptual hysteresis in the human visual system.
NeuroImage, 2020

2018
Evidence for distinct levels of neural adaptation to both coherent and incoherently moving visual surfaces in visual area hMT+.
NeuroImage, 2018

2017
Interhemispheric Binding of Ambiguous Visual Motion Is Associated with Changes in Beta Oscillatory Activity but Not with Gamma Range Synchrony.
J. Cogn. Neurosci., 2017

Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces.
Neurocomputing, 2017

2014
Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2012
Extracting data from human manipulation of objects towards improving autonomous robotic grasping.
Robotics Auton. Syst., 2012

A Probabilistic Framework to Detect Suitable Grasping Regions on Objects.
Proceedings of the 10th IFAC Symposium on Robot Control, SyRoCo 2012, Dubrovnik, Croatia, 2012

2011
Manipulative Tasks Identification by Learning and Generalizing Hand Motions.
Proceedings of the Technological Innovation for Sustainability, 2011

2010
Probabilistic representation of 3D object shape by in-hand exploration.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Grasp Exploration for 3D Object Shape Representation Using Probabilistic Map.
Proceedings of the Emerging Trends in Technological Innovation, 2010

2008
Towards Personalized Neural Networks for Epileptic Seizure Prediction.
Proceedings of the Artificial Neural Networks, 2008


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