other · Zenodo (CERN European Organization for Nuclear Research) · 2023

Neuromorphic Intermediate Representation

Abreu, Steven, Bauer, Felix, Eshraghian, Jason, Jobst, Matthias, Lenz, Gregor, Pedersen, Jens Egholm, Sheik, Sadique

Cited by 0Open access

Abstract

NIR defines neuron models and connectivity for arbitrary networks that include spiking neurons. Neuron models are defined as dynamical system equations because time is an essential component of neuromorphic systems. The goal is to provide a common format that different spiking neural network (SNN) frameworks can convert to. That allows a user to train an SNN in framework X and convert it to framework Y. Framework X might offer particularly fast training, while framework Y might offer deployment to neuromorphic hardware.

Cite this paper

APA 7

Abreu, S., Bauer, F., Eshraghian, J., Jobst, M., Lenz, G., Pedersen, J. E., & Sheik, S. (2023). Neuromorphic Intermediate Representation. Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10380954

MLA 9

Abreu, Steven, et al. “Neuromorphic Intermediate Representation.” Zenodo (CERN European Organization for Nuclear Research), 2023, https://doi.org/10.5281/zenodo.10380954.

Chicago

Abreu, Steven, Felix Bauer, Jason Eshraghian, Matthias Jobst, Gregor Lenz, Jens Egholm Pedersen, and Sadique Sheik. 2023. “Neuromorphic Intermediate Representation.” Zenodo (CERN European Organization for Nuclear Research). https://doi.org/10.5281/zenodo.10380954.

Harvard

Abreu, S. et al. (2023) ‘Neuromorphic Intermediate Representation’, Zenodo (CERN European Organization for Nuclear Research). Available at: https://doi.org/10.5281/zenodo.10380954.

BibTeX

@misc{abreu2023neuromorphic,
  title = {{Neuromorphic Intermediate Representation}},
  author = {Abreu, Steven and Bauer, Felix and Eshraghian, Jason and Jobst, Matthias and Lenz, Gregor and Pedersen, Jens Egholm and Sheik, Sadique},
  journal = {Zenodo (CERN European Organization for Nuclear Research)},
  year = {2023},
  doi = {10.5281/zenodo.10380954}
}

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