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Reward gain and punishment avoidance reversal learning

This dataset comprises two reversal learning tasks designed to investigate differential neural processing of reward gain and punishment avoidance. Participants performed parallel tasks using distinct reinforcers: monetary reward (gain/non-gain outcomes) and primary threat avoidance (noise burst avoidance/application), with noise intensity individually titrated to match subjective value of monetary rewards. The dataset enables investigation of how the brain differentially encodes appetitive versus aversive learning contingencies.

Participants: 26
Channels: 66 (10-10)
Citations: 20
Size: 31.5 GB
Version: v1.0.0
Updated: Jul 10, 2026

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