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How does the IFEN Brain Pinball 3D game support post-reinforcement synchronization during the session?
Post-reinforcement synchronization (PRS) refers to a brief pause after reinforcement during which neural activity can stabilize and reorganize, thus supporting the consolidation of learned material. The pinball design promotes PRS through four repeated 5-minute rounds, as well as a 30-second, in-game "relax time." These structured breaks reduce fatigue and allow the EEG pattern to reset and stabilize before the next round.
How does the Reward Prediction Error (RPE) support neurofeedback training in IFEN Brain Pinball 3D?
IFEN Brain Pinball 3D is a neurofeedback game designed to utilize the reward prediction error (RPE), the brain's central reinforcement learning signal. Through continuous, graded, and immediately visible feedback—rather than binary success/failure signals—the game reliably generates positive and negative RPE signals that activate dopaminergic learning pathways and support neural plasticity. This design allows users to implicitly learn how to consciously self-regulate their brain activity without explicit instructions, as rewarding outcomes reinforce the neural states that produced them. The result is an intuitive, motivating neurofeedback experience based on the brain's natural learning dynamics, making it well-suited for repeated training across diverse user groups.
Neurofeedback is understood as a self-regulation process based on reinforcement learning, in which this is acquired through contingent feedback.
Motivation, salience of the reinforcer, and sustained engagement are considered important moderators of learning success. Since the subjective motivational value of feedback can vary between individuals and decrease with repeated exposure, the adaptive design of feedback environments is discussed as an approach to maintain effective reinforcement.
Against this background, offering multiple feedback or game options can be understood as a theoretically sound strategy to support engagement, reduce habituation effects, and maintain the reinforcing value of feedback across training sessions, thereby potentially promoting learning stability and the transfer of effects (Schwartz & Andrasik, 2016; Enriquez-Geppert et al., 2017; Lubianiker et al., 2022; Sitaram et al., 2024).
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