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Extracting data from human manipulation of objects towards improving autonomous robotic grasping
TLDR
We study how humans manipulate simple daily objects, and construct a probabilistic representation model for the tasks and objects useful for autonomous grasping and manipulation by robotic hands. Expand
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Pivotal role of hMT+ in long‐range disambiguation of interhemispheric bistable surface motion
It remains an open question whether long‐range disambiguation of ambiguous surface motion can be achieved in early visual cortex or instead in higher level regions, which concerns object/surfaceExpand
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Touch attention Bayesian models for robotic active haptic exploration of heterogeneous surfaces
TLDR
This work contributes to the development of active haptic exploration strategies of surfaces using robotic hands in environments with an unknown structure. Expand
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Probabilistic representation of 3D object shape by in-hand exploration
TLDR
This work presents a representation of 3D object shape using a probabilistic volumetric map derived from in- hand exploration. Expand
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Symbolic level generalization of in-hand manipulation tasks from human demonstrations using tactile
TLDR
This work intends to contribute to the development of autonomous dexterous robotic hands by presenting an approach to describe the mechanisms underlying the human strategies during the execution of in-hand manipulation tasks. Expand
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Towards Personalized Neural Networks for Epileptic Seizure Prediction
TLDR
Seizure prediction for untreatable epileptic patients, one of the major challenges of present neuroinformatics researchers, will allow a substantial improvement in their safety and quality of life. Expand
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Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces
TLDR
This text presents the integration of touch attention mechanisms to improve the efficiency of the action-perception loop, typically involved in active haptic exploration tasks of surfaces by robotic hands. Expand
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A Probabilistic Framework to Detect Suitable Grasping Regions on Objects
TLDR
This work relies on a probabilistic framework to search for suitable grasping regions given an object model and the context since we acquire relevant observed information on how to grasp an object. Expand
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Interhemispheric Binding of Ambiguous Visual Motion Is Associated with Changes in Beta Oscillatory Activity but Not with Gamma Range Synchrony
TLDR
In vision, perceptual features are processed in several regions distributed across the brain. Expand
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The Retinal Inner Plexiform Synaptic Layer Mirrors Grey Matter Thickness of Primary Visual Cortex with Increased Amyloid β Load in Early Alzheimer's Disease
The retina may serve as putative window into neuropathology of synaptic loss in Alzheimer's disease (AD). Here, we investigated synapse-rich layers versus layers composed by nuclei/cell bodies in anExpand
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