Computational Neuroscience
Negative reinforcement is a behavioral principle in which a behavior is strengthened by the removal of an aversive stimulus following that behavior. This concept is crucial in understanding how certain actions are encouraged when they help to avoid or eliminate unpleasant experiences, thereby influencing decision-making and learning processes.
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