Pattern separation network

Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. Pattern separation network, IST Austria, 10.15479/AT:ISTA:10110.

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Abstract
How connectivity rules and synaptic properties shape the efficacy of pattern separation in the entorhinal cortex-dentate gyrus-CA3 network. Nature Computational Science, revised version (NATCOMPUTSCI-20-0395). Code Repository: https://git.ist.ac.at/jonasgroup/patternseparation
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2021-10-01
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Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. Pattern separation network. 2021. doi:10.15479/AT:ISTA:10110
Guzmán, J., Schlögl, A., Espinoza Martinez, C., Zhang, X., Suter, B., & Jonas, P. M. (2021). Pattern separation network. IST Austria. https://doi.org/10.15479/AT:ISTA:10110
Guzmán, José, Alois Schlögl, Claudia Espinoza Martinez, Xiaomin Zhang, Benjamin Suter, and Peter M Jonas. “Pattern Separation Network.” IST Austria, 2021. https://doi.org/10.15479/AT:ISTA:10110.
J. Guzmán, A. Schlögl, C. Espinoza Martinez, X. Zhang, B. Suter, and P. M. Jonas, “Pattern separation network.” IST Austria, 2021.
Guzmán J, Schlögl A, Espinoza Martinez C, Zhang X, Suter B, Jonas PM. 2021. Pattern separation network, IST Austria, 10.15479/AT:ISTA:10110.
Guzmán, José, et al. Pattern Separation Network. IST Austria, 2021, doi:10.15479/AT:ISTA:10110.
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2021-10-08
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