A learning-based approach to artificial sensory feedback leads to optimal integration
Published 2014 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A learning-based approach to artificial sensory feedback leads to optimal integration
Authors
Keywords
-
Journal
NATURE NEUROSCIENCE
Volume 18, Issue 1, Pages 138-144
Publisher
Springer Nature
Online
2014-11-25
DOI
10.1038/nn.3883
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Lesions of cortical area LIP affect reach onset only when the reach is accompanied by a saccade, revealing an active eye-hand coordination circuit
- (2013) E. A. Yttri et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Restoring the sense of touch with a prosthetic hand through a brain interface
- (2013) G. A. Tabot et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Learning Multisensory Integration and Coordinate Transformation via Density Estimation
- (2013) Joseph G. Makin et al. PLoS Computational Biology
- Interfacing the Somatosensory System to Restore Touch and Proprioception: Essential Considerations
- (2012) Douglas J. Weber et al. JOURNAL OF MOTOR BEHAVIOR
- Optimal space–time precoding of artificial sensory feedback through mutichannel microstimulation in bi-directional brain–machine interfaces
- (2012) John Daly et al. Journal of Neural Engineering
- Incorporating Cross-Modal Statistics in the Development and Maintenance of Multisensory Integration
- (2012) J. Xu et al. JOURNAL OF NEUROSCIENCE
- Coding of the Reach Vector in Parietal Area 5d
- (2012) Lindsay R. Bremner et al. NEURON
- An Electric Field Model for Prediction of Somatosensory (S1) Cortical Field Potentials Induced by Ventral Posterior Lateral (VPL) Thalamic Microstimulation
- (2011) J. S. Choi et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Heterogeneous Representations in the Superior Parietal Lobule Are Common across Reaches to Visual and Proprioceptive Targets
- (2011) L. M. M. McGuire et al. JOURNAL OF NEUROSCIENCE
- Multisensory Calibration Is Independent of Cue Reliability
- (2011) A. Zaidel et al. JOURNAL OF NEUROSCIENCE
- Learning from Sensory and Reward Prediction Errors during Motor Adaptation
- (2011) Jun Izawa et al. PLoS Computational Biology
- Incorporating Feedback from Multiple Sensory Modalities Enhances Brain-Machine Interface Control
- (2010) A. J. Suminski et al. JOURNAL OF NEUROSCIENCE
- Idiosyncratic and systematic aspects of spatial representations in the macaque parietal cortex
- (2010) Steve W. C. Chang et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Sensory Reweighting in Targeted Reaching: Effects of Conscious Effort, Error History, and Target Salience
- (2009) Hannah J. Block et al. JOURNAL OF NEUROPHYSIOLOGY
- Sensory transformations and the use of multiple reference frames for reach planning
- (2009) Leah M M McGuire et al. NATURE NEUROSCIENCE
- Reaching activity in parietal area V6A of macaque: eye influence on arm activity or retinocentric coding of reaching movements?
- (2008) Nicoletta Marzocchi et al. EUROPEAN JOURNAL OF NEUROSCIENCE
- The statistical determinants of adaptation rate in human reaching
- (2008) Johannes Burge et al. JOURNAL OF VISION
- Multisensory Integration in Macaque Visual Cortex Depends on Cue Reliability
- (2008) Michael L. Morgan et al. NEURON
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started