2023 - Research.com Neuroscience in Italy Leader Award
2012 - Member of Academia Europaea
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.
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.
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.
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.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Five basic muscle activation patterns account for muscle activity during human locomotion
Y. Ivanenko;Richard E. Poppele;F. Lacquaniti.
The Journal of Physiology (2004)
The law relating the kinematic and figural aspects of drawing movements
Francesco Lacquaniti;Carlo Terzuolo;Paolo Viviani.
Acta Psychologica (1983)
Invariant characteristics of a pointing movement in man
JF Soechting;F Lacquaniti.
The Journal of Neuroscience (1981)
Motor Patterns in Human Walking and Running
Germana Cappellini;Yuri P Ivanenko;Richard E Poppele;Francesco Lacquaniti.
Journal of Neurophysiology (2006)
Control of fast-reaching movements by muscle synergy combinations.
Andrea d'Avella;Alessandro Portone;Laure Fernandez;Francesco Lacquaniti.
The Journal of Neuroscience (2006)
Locomotor primitives in newborn babies and their development.
Nadia Dominici;Yuri P. Ivanenko;Germana Cappellini;Andrea d’Avella.
The role of preparation in tuning anticipatory and reflex responses during catching
Francesco Lacquaniti;Claudio Maioli.
The Journal of Neuroscience (1989)
Does the brain model Newton's laws?
J. McIntyre;M. Zago;A. Berthoz;F. Lacquaniti.
Nature Neuroscience (2001)
Motor Patterns for Human Gait: Backward Versus Forward Locomotion
R. Grasso;L. Bianchi;F. Lacquaniti.
Journal of Neurophysiology (1998)
Kinematic determinants of human locomotion.
N A Borghese;L Bianchi;F Lacquaniti.
The Journal of Physiology (1996)
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