ACh-modulated predecessor feature learning enables post-reward exploration

Our paper, “Eligibility-trace–gated depression in predecessor feature learning enables post-reward exploration,” has been published.

In this study, we propose an acetylcholine (ACh)-modulated predecessor feature learning model and investigate how it can support flexible exploration even after reward acquisition.

Using n-arm radial maze simulations, we found that the conventional PF model showed clear limitations under post-reward exploration conditions, whereas the ACh-PF model substantially improved exploration performance within an appropriate range of modulation strength. However, this effective range became narrower as the environment became more complex.

The paper is available here:
https://rdcu.be/fmrWK