Results 71 to 80 of about 2,193,761 (259)
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
doaj +1 more source
Epistemic Irrationality in the Bayesian Brain
, 2020 A large body of research in cognitive psychology and neuroscience draws on Bayesian statistics to model information processing within the brain. Many theorists have noted that this research seems to be in tension with a large body of experimental results
Williams, Daniel
core +2 more sources
The Bayesian boom: good thing or bad? [PDF]
, 2014 A series of high-profile critiques of Bayesian models of cognition have recently sparked controversy. These critiques question the contribution of rational, normative considerations in the study of cognition. The present article takes central claims from
Ulrike eHahn, Hahn, Ulrike, Ulrike Hahn
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Push the Limits: Human‐Like Multimodal Extreme Embodied Intelligence for Autonomous Racing
Advanced Robotics Research, EarlyView.Autonomous racing tests embodied intelligence under extreme control limits of speed, actuation, and decision‐making. Inspired by human multimodality, we present Apex, an embodied agent deployed on a super‐formula racing car at Yas Marina. Integrating physics‐informed perception, multimodal learning, and tasking, Apex cuts lap times by 15% and achieves ...
Yanxin Zhou +13 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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Quantifying uncertainty in computational neuroscience with Bayesian statistical inference [PDF]
, 2008 Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Brain and Cognitive Sciences, 2008.Includes bibliographical references (p. 101-106).Two key fields of computational neuroscience involve, respectively, the analysis of experimental ...
Cronin, Beau D
core
Bayesian Networks for Brain-Computer Interfaces: A Survey
, 2022 Brain-Computer Interface (BCI) is a rapidly developing technology that allows direct communications between the human brain and external devices, such as robotic arms and computers.
Li, Pingsheng
core
Advanced Science, EarlyView.The burden quantitative trait locus (bQTL) analysis integrates epidemiological data from GBD study with genotype of 2 621 978 SNPs from 2414 individuals in 1000 Genomes Project across 20 countries. rs7633471 shows the strongest effect that each increase in centi‐allele frequency of the allele C associated with 10.00 decrease of age‐standardized ...
Chen Sun +27 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
doaj +1 more source
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