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The reward prediction hypothesis seems to explain addiction by understanding it as a pathology of reinforcement learning.
The scientific method is essentially a process for conducting systematic observation and testing a new prediction (hypothesis) consistent with the observation.
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We compared both earlier and later ERP responses over the medial frontal cortex to compare the salience and reward prediction hypotheses.
Exposure models also provide the opportunity to better understand key mechanistic processes in the source receptor relationship and the model predictions (hypothesis based) can be evaluated with monitoring data (test derived) (Cowan-Ellsberry et al. 2009; Sheldon and Cohen Hubal 2009).
Science requires having a prediction, a hypothesis, about what will happen based on theory, a set of assumptions.
However, mathematical modeling of biological systems does overlap with computational biology, particularly where simulation for purposes of prediction or hypothesis generation is a key element of the model.
This observation, resembling the "prediction and hypothesis testing phase" of inquiry cycle was confirmed in this screen capture analysis as well.
The main prediction of hypothesis (ii) is that the distance between L. acidophilus and L. johnsonii should be the same for group A and group B proteins.
Moreover the two-sample Kolmogorov-Smirnov test [21] suggests the observed data is more likely to be a sample from the two-population model predictions (null hypothesis not rejected, p-value = 0.133) than the one-population model predictions (null hypothesis rejected, p-value = 0.0314).
The first of these two alternatives is the opposite of the prediction from hypothesis-2.
Predictive coding supposes that the brain is a statistical organ, generating predictions or hypotheses about the state of the world predictions that are tested against sensory evidence.
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