Results 91 to 100 of about 2,095,528 (293)
Frontiers in Neuroscience, 2020 Just as the human brain works in a Bayesian manner to minimize uncertainty regarding external stimuli, a deafferented brain due to hearing loss attempts to obtain or “fill in” the missing auditory information, resulting in auditory phantom percepts (i.e.,
Sang-Yeon Lee +4 more
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A Bayesian approach to determining connectivity of the human brain [PDF]
Human Brain Mapping, 2005 AbstractRecent work regarding the analysis of brain imaging data has focused on examining functional and effective connectivity of the brain. We develop a novel descriptive and inferential method to analyze the connectivity of the human brain using functional MRI (fMRI).
Rajan S, Patel +2 more
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Muscle Control of an Extra Robotic Digit
Advanced Robotics Research, EarlyView.This study compares muscle‐ and movement‐based control for operating a supernumerary robotic thumb. While movement control performs better in the proposed tasks, muscle‐based (EMG) control promotes broader motor learning. The results highlight the promise and challenges of using biosignals for human augmentation, offering new insights into intuitive ...
Julien Russ +7 more
wiley +1 more source
Computational Neuropsychology and Bayesian Inference
Frontiers in Human Neuroscience, 2018 Computational theories of brain function have become very influential in neuroscience. They have facilitated the growth of formal approaches to disease, particularly in psychiatric research.
Thomas Parr +3 more
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Bayesian statistics: relevant for the brain? [PDF]
Current Opinion in Neurobiology, 2014 Analyzing data from experiments involves variables that we neuroscientists are uncertain about. Efficiently calculating with such variables usually requires Bayesian statistics. As it is crucial when analyzing complex data, it seems natural that the brain would "use" such statistics to analyze data from the world.
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Advanced Science, EarlyView.A portable, sensorized, and controlled dexterous thumb‐enhanced glove helps stroke survivors swipe phones, twist caps, and perform other tasks. It is based on a powerful continuously, segmented origami dual chamber actuator to achieve active thumb CMC and MCP joint assistance and passively extend the IP joint.
Disheng Xie +10 more
wiley +1 more source
Hierarchical Bayesian modeling of multiregion brain cell count data
eLifeWe can now collect cell-count data across whole animal brains quantifying recent neuronal activity, gene expression, or anatomical connectivity. This is a powerful approach since it is a multiregion measurement, but because the imaging is done postmortem,
Sydney Dimmock +8 more
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Advanced Science, EarlyView.As a pilot phase of the Central Asian Genomic Diversity Project, whole‐genome sequencing of 166 individuals from 20 Central Asian and Afghan Hazara populations reveals fine‐scale substructure shaped by repeated trans‐Eurasian migration and admixture. Integrated analyses uncover post‐admixture adaptation, archaic introgression, and medically relevant ...
Mengge Wang +11 more
wiley +1 more source
Frontiers in OncologyBackgroundImmune checkpoint inhibitors (ICIs) are the standard first-line care for advanced non-small cell lung cancer (NSCLC). However, optimal therapeutic choices for patients with brain metastases remain unclear due to a lack of direct comparisons. We
Jie Luo +8 more
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How recent history affects perception: the normative approach and its heuristic approximation.
PLoS Computational Biology, 2012 There is accumulating evidence that prior knowledge about expectations plays an important role in perception. The Bayesian framework is the standard computational approach to explain how prior knowledge about the distribution of expected stimuli is ...
Ofri Raviv +2 more
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