In summary, we agree with Li and Xu in that an integrative computational neuroscience of bilingualism is needed, but its scope needs to be expanded to include language learning context, maintenance and decay of linguistic competence, and bilingual language breakdown to account for a larger range of phenomena in bilingual language learning and processing. Building upon work addressing the desiderata for good models proposed by Li and Xu, computational modeling can achieve cognitive and neurobiological plausibility by incorporating evidence from lesion studies and behavioral patient data to provide a vehicle for contrasting bilingualism theories and a bridge between computational science and real-world clinical needs.

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Language Learning, Vol. . (2023). https://doi.org/10.1111/lang.12566.

@article{penaloza:ll23, title={Modeling Bilingualism as a Dynamic Phenomenon in Healthy and Neurologically Affected Speakers Across the Lifespan (Commentary)}, author={Claudia Penaloza and Uli Grasemann and Risto Miikkulainen and Swathi Kiran}, volume={.}, journal={Language Learning}, month={ }, note={https://doi.org/10.1111/lang.12566}, url="http://www.cs.utexas.edu/users/ai-lab?penaloza:ll23", year={2023} }