What is he best known for?
The fields of study he is best known for:
- Neuroscience
- Artificial intelligence
- Statistics
Francesco Lacquaniti mostly deals with Communication, Neuroscience, Kinematics, Physical medicine and rehabilitation and Electromyography.
His studies deal with areas such as Control theory and Computer vision as well as Communication.
His research integrates issues of Human locomotion, Three-dimensional space, Invariant and Coordinate system in his study of Kinematics.
His work on Proprioception as part of general Physical medicine and rehabilitation research is frequently linked to Mechanical energy, thereby connecting diverse disciplines of science.
His Electromyography research is multidisciplinary, relying on both Gait, Anatomy and Central pattern generator.
The study incorporates disciplines such as Internal model, Brain model, Artificial intelligence and Pattern recognition in addition to Sensory system.
His most cited work include:
- Five basic muscle activation patterns account for muscle activity during human locomotion (697 citations)
- Invariant characteristics of a pointing movement in man (580 citations)
- The law relating the kinematic and figural aspects of drawing movements. (531 citations)
What are the main themes of his work throughout his whole career to date?
Francesco Lacquaniti focuses on Kinematics, Physical medicine and rehabilitation, Neuroscience, Artificial intelligence and Communication.
His work carried out in the field of Kinematics brings together such families of science as Mathematical analysis, Biomechanics, Geometry, Motor control and Trajectory.
He has researched Physical medicine and rehabilitation in several fields, including Treadmill, Trunk and Anatomy.
His research on Neuroscience frequently connects to adjacent areas such as Central pattern generator.
His Artificial intelligence study integrates concerns from other disciplines, such as Perception and Computer vision.
His Communication research includes elements of Human locomotion and Control theory.
He most often published in these fields:
- Kinematics (26.25%)
- Physical medicine and rehabilitation (23.12%)
- Neuroscience (21.87%)
What were the highlights of his more recent work (between 2016-2021)?
- Physical medicine and rehabilitation (23.12%)
- Kinematics (26.25%)
- Neuroscience (21.87%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Physical medicine and rehabilitation, Kinematics, Neuroscience, Artificial intelligence and Computer vision.
Francesco Lacquaniti studies Physical medicine and rehabilitation, focusing on Gait in particular.
His Kinematics study combines topics from a wide range of disciplines, such as Gravity of Earth, Anatomy, Terrestrial locomotion, Plantar pressure and Trajectory.
His Neuroscience research focuses on Gait and how it relates to Flexibility.
His work on Sensory cue as part of general Artificial intelligence study is frequently linked to Hessian matrix, bridging the gap between disciplines.
His Computer vision research is multidisciplinary, incorporating perspectives in Visual perception, Perception and Internal model.
Between 2016 and 2021, his most popular works were:
- Ocular tracking of occluded ballistic trajectories: Effects of visual context and of target law of motion. (30 citations)
- Neuroticism modulates brain visuo‐vestibular and anxiety systems during a virtual rollercoaster task (30 citations)
- Altered Insular and Occipital Responses to Simulated Vertical Self-Motion in Patients with Persistent Postural-Perceptual Dizziness. (27 citations)
In his most recent research, the most cited papers focused on:
- Neuroscience
- Artificial intelligence
- Statistics
Francesco Lacquaniti mainly focuses on Physical medicine and rehabilitation, Kinematics, Computer vision, Artificial intelligence and Pattern generation.
Francesco Lacquaniti has included themes like Quadrupedalism, Trunk and Movement in his Physical medicine and rehabilitation study.
His biological study spans a wide range of topics, including Terrestrial locomotion, Geodesy, Body shape, Center of mass and Trajectory.
His research in Computer vision intersects with topics in Vertical plane, Proprioception and Sensorimotor coupling, Perception.
His study in Artificial intelligence is interdisciplinary in nature, drawing from both Throwing and Ball release.
His Biological neural network study is concerned with Neuroscience in general.
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