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Simple Framework for Constructing Functional Spiking Recurrent Neural Networks
View ORCID ProfileRobert Kim, Yinghao Li, Terrence J. Sejnowski
doi: https://doi.org/10.1101/579706
Robert Kim
1Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
2Neurosciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA
3Medical Scientist Training Program, University of California San Diego, La Jolla, CA 92093, USA
Yinghao Li
1Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
Terrence J. Sejnowski
1Computational Neurobiology Laboratory, Salk Institute for Biological Studies, La Jolla, CA 92037, USA
4Institute for Neural Computation, University of California San Diego, La Jolla, CA 92093, USA
5Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093, USA
Posted September 10, 2019.
Simple Framework for Constructing Functional Spiking Recurrent Neural Networks
Robert Kim, Yinghao Li, Terrence J. Sejnowski
bioRxiv 579706; doi: https://doi.org/10.1101/579706
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