AIMC Topic: Neurosciences
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Control of goal-directed movements within (or beyond) reach?: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by Vishwanathan Mohan et al.
Physics of life reviews
Mar 27, 2019
Internal simulation in embodied cognitive systems: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by Vishwanathan Mohan et al.
Physics of life reviews
Mar 4, 2019
High and low dimensionality in neuroscience and artificial intelligence: Comment on "The unreasonable effectiveness of small neural ensembles in high-dimensional brain" by A.N. Gorban et al.
Physics of life reviews
Mar 4, 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
Feb 20, 2019
The roles of supervised machine learning in systems neuroscience.
Progress in neurobiology
Feb 7, 2019
Over the last several years, the use of machine learning (ML) in neuroscience has been rapidly increasing. Here, we review ML's contributions, both realized and potential, across several areas of systems neuroscience. We describe four primary roles o...
The representational nature of the body schema: Comment on "Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics" by V. Mohan et al.
Physics of life reviews
Jan 7, 2019
[The body, art and the machines].
Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke
Oct 30, 2018
Muscleless motor synergies and actions without movements: From motor neuroscience to cognitive robotics.
Physics of life reviews
Apr 27, 2018
Emerging trends in neurosciences are providing converging evidence that cortical networks in predominantly motor areas are activated in several contexts related to 'action' that do not cause any overt movement. Indeed for any complex body, human or e...
Clustering fMRI data with a robust unsupervised learning algorithm for neuroscience data mining.
Journal of neuroscience methods
Feb 20, 2018
BACKGROUND: Clustering approaches used in functional magnetic resonance imaging (fMRI) research use brain activity to divide the brain into various parcels with some degree of homogeneous characteristics, but choosing the appropriate clustering algor...
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