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A modular theory of multisensory integration for motor control.

A modular theory of multisensory integration for motor control.

http://www.wikidata.org/entity/Q37536666

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Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation Quantifying effects of stochasticity in reference frame transformations on posterior distributions Editorial: Modularity in motor control: from muscle synergies to cognitive action representation.Effect of rhythmic auditory cueing on parkinsonian gait: A systematic review and meta-analysis.Hybrid Scheme for Modeling Local Field Potentials from Point-Neuron Networks.The visual encoding of purely proprioceptive intermanual tasks is due to the need of transforming joint signals, not to their interhemispheric transfer.Effects of Rhythmic Auditory Cueing in Gait Rehabilitation for Multiple Sclerosis: A Mini Systematic Review and Meta-Analysis.

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A modular theory of multisensory integration for motor control.

http://www.wikidata.org/entity/Q37536666

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article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 31 January 2014

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

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vědecký článek

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name

A modular theory of multisensory integration for motor control.

@en

A modular theory of multisensory integration for motor control.

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type

label

A modular theory of multisensory integration for motor control.

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A modular theory of multisensory integration for motor control.

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prefLabel

A modular theory of multisensory integration for motor control.

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A modular theory of multisensory integration for motor control.

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Frontiers in Computational Neuroscience

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A modular theory of multisensory integration for motor control

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Michele Tagliabue

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Humans integrate visual and haptic information in a statistically optimal fashion

Heterogeneous representations in the superior parietal lobule are common across reaches to visual and proprioceptive targets

Causal inference in multisensory perception.

Multisensory oddity detection as bayesian inference.

A computational perspective on the neural basis of multisensory spatial representations.

Reference frames for representing visual and tactile locations in parietal cortex.

Learning multisensory integration and coordinate transformation via density estimation.

When kinesthesia becomes visual: a theoretical justification for executing motor tasks in visual space.

Sensory integration does not lead to sensory calibration.

Object perception as Bayesian inference.

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scholarly article

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10.3389/FNCOM.2014.00001

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Joseph McIntyre

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2014-01-31T00:00:00Z

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