Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination
- Author
- Tanguy Cazalets (UGent) and Joni Dambre (UGent)
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Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01JHFYYQJX9EJWNV5M1V53BQ23
- MLA
- Cazalets, Tanguy, and Joni Dambre. “Homeostatic Activity-Dependent Structural Plasticity in Rate Based Neural Networks for Reacher Input Combination.” Bernstein Conference 2023, Abstracts, 2023, doi:10.12751/nncn.bc2023.219.
- APA
- Cazalets, T., & Dambre, J. (2023). Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination. Bernstein Conference 2023, Abstracts. Presented at the Bernstein Conference 2023, Berlin, Germany. https://doi.org/10.12751/nncn.bc2023.219
- Chicago author-date
- Cazalets, Tanguy, and Joni Dambre. 2023. “Homeostatic Activity-Dependent Structural Plasticity in Rate Based Neural Networks for Reacher Input Combination.” In Bernstein Conference 2023, Abstracts. https://doi.org/10.12751/nncn.bc2023.219.
- Chicago author-date (all authors)
- Cazalets, Tanguy, and Joni Dambre. 2023. “Homeostatic Activity-Dependent Structural Plasticity in Rate Based Neural Networks for Reacher Input Combination.” In Bernstein Conference 2023, Abstracts. doi:10.12751/nncn.bc2023.219.
- Vancouver
- 1.Cazalets T, Dambre J. Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination. In: Bernstein Conference 2023, Abstracts. 2023.
- IEEE
- [1]T. Cazalets and J. Dambre, “Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination,” in Bernstein Conference 2023, Abstracts, Berlin, Germany, 2023.
@inproceedings{01JHFYYQJX9EJWNV5M1V53BQ23,
author = {{Cazalets, Tanguy and Dambre, Joni}},
booktitle = {{Bernstein Conference 2023, Abstracts}},
language = {{eng}},
location = {{Berlin, Germany}},
pages = {{2}},
title = {{Homeostatic activity-dependent structural plasticity in rate based neural networks for reacher input combination}},
url = {{http://doi.org/10.12751/nncn.bc2023.219}},
year = {{2023}},
}
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