Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

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Out-of-body experiences (OBEs) are characterized by the subjective feeling of being located outside one's physical body and perceiving one's own body from an elevated perspective looking downwards. OBEs have been correlated with abnormal integration of bod ...

Omnidirectional video streaming is usually implemented based on the representations of tiles, where the tiles are obtained by splitting the video frame into several rectangular areas and each tile is converted into multiple representations with different r ...

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Daily manipulation tasks are characterized by regular features associated with the task structure, which can be described by multiple geometric primitives related to actions and object shapes. Only using Cartesian coordinate systems cannot fully represent ...

This paper presents a novel distributed approach for solving AC power flow (PF) problems. The optimization problem is reformulated into a distributed form using a communication structure corresponding to a hypergraph, by which complex relationships between ...

Exploring the Contribution of Proprioceptive Reflexes to Balance Control in Perturbed Standing

Chattez avec Graph Search

The effect of smooth parametrizations on nonconvex optimization landscapes

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Augmenting locomotor perception by remapping tactile foot sensation to the back

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

Mesh-based topology, shape and sizing optimization of ribbed plates

The complexity of quantum support vector machines

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

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Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

Data-Driven Control and Optimization under Noisy and Uncertain Conditions

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Integration of feedforward and feedback control in the neuromechanics of vertebrate locomotion: a review of experimental, simulation and robotic studies

Out-of-body illusion induced by visual-vestibular stimulation

Quality-Constrained Encoding Optimization for Omnidirectional Video Streaming

Learning and optimization of anticipatory feedback controllers for robot manipulation

A Spatial Branch and Bound Algorithm for Continuous Pricing with Advanced Discrete Choice Demand Modeling

A geometric optimal control approach for imitation and generalization of manipulation skills

Hypergraph-Based Fast Distributed AC Power Flow Optimization