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A novel state-action graph is used to store the reinforcement values of the learning process.
Finally, the dynamic control policy over the large state space was extracted from the reinforcement values using a commercially available tree classifier tool.
An initial experiment clearly revealed that the underlying task could not be learned merely on the basis of numeric reinforcement values.
The dACC is hypothesised to compute reinforcement values of actions, while the OFC determines the reinforcement values of stimuli.
We posited that midazolam biased participants to recruit striatum during learning due to dysfunctional hippocampal processing, and that this change actually supported generalization of reinforcement values.
Other studies show that both humans and animals with hippocampal damage are completely unimpaired at re-combining learned elemental reinforcement values to support generalization of learned behavior to novel situations [ 33, 34].
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Likewise, witnessing a behavior cannot lead to conditioning, because observation alone does not have reinforcement value.
One result of this contact is the discovery that sensitized neural systems responsible for heightened reinforcement value or strength can be dissociated from the hedonic utility or pleasurable quality of reinforcement (see Robinson and Berridge 2003).
Activity in these regions was not significantly modulated by changes in reinforcement value that were not sufficient to make an alternative response advantageous.
A Neural Network based approach (least mean square (LMS) algorithm) was used to approximate the reinforcement value function during the implementation of the RL-based methodology.
However, it is unclear from these studies how these regions give rise to the individual components of response reversal, such as reinforcement value encoding, response inhibition, and response change.
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