bioRxiv
Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation
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, Preprint
Idrees, S; Manookin, M; Rieke, F; Field, G; Zylberberg, J
2023
Duke Scholars
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Idrees, S., Manookin, M., Rieke, F., Field, G., & Zylberberg, J. (2023). Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation. bioRxiv. https://doi.org/10.1101/2023.06.20.545728
Idrees, Saad, Michael Manookin, Fred Rieke, Greg Field, and Joel Zylberberg. “Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.” BioRxiv, 2023. https://doi.org/10.1101/2023.06.20.545728.
Idrees S, Manookin M, Rieke F, Field G, Zylberberg J. Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation. bioRxiv. 2023.
Idrees, Saad, et al. “Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation.” BioRxiv, 2023. Epmc, doi:10.1101/2023.06.20.545728.
Idrees S, Manookin M, Rieke F, Field G, Zylberberg J. Biophysical neural adaptation mechanisms enable artificial neural networks to capture dynamic retinal computation. bioRxiv. 2023.