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Slow Dynamics of Postural Sway Are in the Feedback Loop

Journal of neurophysiology, 2006-03, Vol.95 (3), p.1410-1418

2006

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Real-World Neuroimaging Technologies

IEEE access, 2013, Vol.1, p.131-149

2013

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Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator

Frontiers in neuroinformatics, 2019-11, Vol.13, p.69-69

2019

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Assessing the Impact of Ih Conductance on Cross-Frequency Coupling in Model Pyramidal Neurons

Frontiers in computational neuroscience, 2020-09, Vol.14, p.81-81

2020

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Multisensory fusion and the stochastic structure of postural sway

Biological cybernetics, 2002-10, Vol.87 (4), p.262-277

2002

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Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons

Frontiers in computational neuroscience, 2018-05, Vol.12, p.29-29

2018

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Brain-Computer Interface Technologies in the Coming Decades

Proceedings of the IEEE, 2012-05, Vol.100 (Special Centennial Issue), p.1585-1599

2012

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Asymmetric adaptation with functional advantage in human sensorimotor control

Experimental brain research, 2008-12, Vol.191 (4), p.453-463

2008

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Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task

IEEE transactions on affective computing, 2010-07, Vol.1 (2), p.109-118

2010

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Multisensory information for human postural control: integrating touch and vision

Experimental brain research, 2000-09, Vol.134 (1), p.107-125

2000

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Nonlinear postural control in response to visual translation

Experimental brain research, 2005, Vol.160 (4), p.450-459

2005

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Comparing apples to oranges to bananas: A big data approach to understanding the joint influences of stimulus properties, trial history, and individual differences

Journal of vision (Charlottesville, Va.), 2024-09, Vol.24 (10), p.577

2024

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Leveraging big data to disentangle effects of distractor interference and improve prediction of visual search performance

Journal of vision (Charlottesville, Va.), 2022-12, Vol.22 (14), p.4345

2022

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Human multisensory fusion of vision and touch: detecting non-linearity with small changes in the sensory environment

Neuroscience letters, 2001-11, Vol.315 (3), p.113-116

2001

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Crowdsourced Data Collection Opens New Avenues for the Behavioral Sciences to Impact Real-World Applications

Policy insights from the behavioral and brain sciences, 2024-10, Vol.11 (2), p.123-131

2024

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A Cybernetic Approach to Characterization of Complex Sensory Environments: Implications for Human Robot Interaction

Advances in Human Factors in Robots and Unmanned Systems, 2018, p.14-22

2018

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Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture

Brain research. Cognitive brain research, 2002-06, Vol.14 (1), p.164-176

2002

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Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions

Foundations of Augmented Cognition, 2015, p.63-72

2015

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The Need for Cognitive Engineering in the United States Army

Insight (International Council on Systems Engineering), 2009-04, Vol.12 (1), p.7-10

2009

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The Multi-Aspect Measurement Approach: Rationale, Technologies, Tools, and Challenges for Systems Design

Designing Soldier Systems, 2012, p.217-247

1, 2012

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Characterizing sensory re-weighting for human postural control

Oie, Kelvin S

2006

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Input-driven behavior: One extreme of the multisensory perceptual continuum

The Behavioral and brain sciences, 2001-04, Vol.24 (2), p.232-233

2001

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Neurocognitive Engineering for Systems’ Development

Neurotechnology in National Security and Defense, 2015, p.60-77

Giordano, James

2015

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Research report: Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture

Brain research. Cognitive brain research, 2002-06, Vol.14 (1), p.164-176

2002

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Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture: Multisensory Processing

Brain research. Cognitive brain research, 2002, Vol.14 (1), p.164-176

2002

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Slow Dynamics of Postural Sway Are in the Feedback Loop

Real-World Neuroimaging Technologies

Enabling Large-Scale Simulations With the GENESIS Neuronal Simulator

Assessing the Impact of Ih Conductance on Cross-Frequency Coupling in Model Pyramidal Neurons

Multisensory fusion and the stochastic structure of postural sway

Resonance Analysis as a Tool for Characterizing Functional Division of Layer 5 Pyramidal Neurons

Brain-Computer Interface Technologies in the Coming Decades

Asymmetric adaptation with functional advantage in human sensorimotor control

Optimal Arousal Identification and Classification for Affective Computing Using Physiological Signals: Virtual Reality Stroop Task

Multisensory information for human postural control: integrating touch and vision

Nonlinear postural control in response to visual translation

Comparing apples to oranges to bananas: A big data approach to understanding the joint influences of stimulus properties, trial history, and individual differences

Leveraging big data to disentangle effects of distractor interference and improve prediction of visual search performance

Human multisensory fusion of vision and touch: detecting non-linearity with small changes in the sensory environment

Crowdsourced Data Collection Opens New Avenues for the Behavioral Sciences to Impact Real-World Applications

A Cybernetic Approach to Characterization of Complex Sensory Environments: Implications for Human Robot Interaction

Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture

Towards a Translational Method for Studying the Influence of Motivational and Affective Variables on Performance During Human-Computer Interactions

The Need for Cognitive Engineering in the United States Army

The Multi-Aspect Measurement Approach: Rationale, Technologies, Tools, and Challenges for Systems Design

Characterizing sensory re-weighting for human postural control

Input-driven behavior: One extreme of the multisensory perceptual continuum

Neurocognitive Engineering for Systems’ Development

Research report: Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture

Multisensory fusion: simultaneous re-weighting of vision and touch for the control of human posture: Multisensory Processing

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