Motivation Is Something You Need

Описание: Researchers have developed a novel neural network training framework inspired by affective neuroscience, specifically mimicking the human brain's SEEKING state where curiosity and anticipated rewards activate broader cognitive regions. To replicate this biological process, the proposed system employs a dual-model approach that continuously trains a smaller base model but temporarily switches to a larger, expanded motivated model whenever the system detects a motivation condition, such as a consistent decrease in training loss. By utilizing scalable network architectures where the larger model naturally builds upon the smaller one, this alternating method allows for shared weight updates without the computational burden of training the massive model from start to finish. Empirical evaluations on image classification tasks demonstrate that this scheme significantly enhances the accuracy, generalization, and computational efficiency of the base model, and in some configurations, even allows the intermittently trained motivated model to outperform traditional standalone versions. Ultimately, this approach establishes a highly efficient train once, deploy twice paradigm, providing developers with two distinct, high-performing models tailored for different hardware constraints while maintaining lower overall training costs.

https://arxiv.org/pdf/2602.21064