The uncertainty inherent to quantum mechanics has long left physicists wondering whether the observations we make on the ...
The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...
“We are learning to read and write the language of cellular memories. These ‘memory nodes’ are living physical objects resembling microprocessors. They have precise rules based on their physical, ...
Objective To evaluate systematic reviews of randomised controlled trials (RCTs) on the effects of exercise on general cognition, memory and executive function across all populations and ages. Methods ...
Multi-Scale Feature Fusion Based on Piecewise Polynomial Activation Function for Image-Text matching
Abstract: Image-text matching remains challenging in big data processing. Matching accuracy is influenced by various factors, including the correlation between images and texts, feature extraction and ...
Abstract: In this study, in order to improve the accuracy of eccentric magnetic absolute encoders (EMAE), an angle calculation method that combines radial basis function neural networks (RBFNN) and ...
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