Sentence examples for neural prediction from inspiring English sources

Gläscher, J., Daw, N., Dayan, P. & O'Doherty, J. P. States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.

Y Niv, J Edlund, P Dayan, JP O'Doherty (2012) - Neural prediction errors reveal a risk-sensitive reinforcement learning process in the human brain - The Journal of Neuroscience 32(2):551-562.

This paper makes a comparison of global, feedback and smoothed-piecewise neural prediction models for financial time series (FTS) prediction problem.

An artificial neural prediction system is automatically developed with the combinations of step wise regression analysis (SRA), dynamic learning and recursive-based particle swarm optimization (RPSO) learning algorithms.

The first neural prediction made by computational models of decision-making for neurons that covary with an evolving decision is that on average the build-up of neural activity in favor of a choice, as measured in plots of trial-averaged FR vs. time, is faster for easier compared to harder color coherences45.

Various neural "prediction error" signals are believed to underpin surprise-based reinforcement learning.

The neural predictions explain about 76% of the variation in individual pitch percepts (Figure 3f, df = 1,108; F = 336.3, p<0.0001); for population data, the neural pitch predictions explain about 99.8% of the variation in subjective percepts with a regression line slope of 1.0 (Figure 3g, df = 1,3; F = 1614.0, p<0.0001614.0,

In this study, we used machine learning techniques to generate neural predictions for the representation of objects.

The performance of the error network vis-à-vis that of the resultant numerical-neural prediction thus appears to be changing with the site as well as with the given current component.

Feedback is designed based on neural network prediction to compensate the error of the prediction model.

With these multi-dimensional descriptors, ensembles of neural network prediction equation sets were used to predict the natural logarithm of 50percentt inhibitory concentration (ln[IC50]) for MHC binding.