Dynamic gain neuromodulation attenuates stability gaps during continual joint training

Alejandro Rodriguez-Garcia, Anindya Ghosh, Srikanth Ramaswamy

Open source

DOI
10.1016/j.neunet.2026.109767
Published
2027-02
Container
Neural Networks
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.neunet.2026.109767,
  title = {Dynamic gain neuromodulation attenuates stability gaps during continual joint training},
  author = {Alejandro Rodriguez-Garcia and Anindya Ghosh and Srikanth Ramaswamy},
  year = {2027},
  journal = {Neural Networks},
  doi = {10.1016/j.neunet.2026.109767},
  url = {https://doi.org/10.1016/j.neunet.2026.109767}
}

RIS

TY  - JOUR
TI  - Dynamic gain neuromodulation attenuates stability gaps during continual joint training
AU  - Alejandro Rodriguez-Garcia
AU  - Anindya Ghosh
AU  - Srikanth Ramaswamy
PY  - 2027
JO  - Neural Networks
DO  - 10.1016/j.neunet.2026.109767
UR  - https://doi.org/10.1016/j.neunet.2026.109767
ER  - 

APA

Rodriguez-Garcia, A., Ghosh, A., & Ramaswamy, S. (2027). Dynamic gain neuromodulation attenuates stability gaps during continual joint training. Neural Networks. https://doi.org/10.1016/j.neunet.2026.109767

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