Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim
S. Sanaullah, S. Koravuna, U. Rückert, T. Jungeblut, International Journal of Neural Systems (2023).
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International Journal of Neural Systems
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Sanaullah, Sanaullah ; Koravuna, Shamini ; Rückert, Ulrich ; Jungeblut, Thorsten: Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. In: International Journal of Neural Systems, World Scientific Pub Co Pte Ltd (2023)
Sanaullah S, Koravuna S, Rückert U, Jungeblut T. Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. International Journal of Neural Systems. 2023. doi:10.1142/S0129065723500442
Sanaullah, S., Koravuna, S., Rückert, U., & Jungeblut, T. (2023). Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. International Journal of Neural Systems. https://doi.org/10.1142/S0129065723500442
@article{Sanaullah_Koravuna_Rückert_Jungeblut_2023, title={Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim}, DOI={10.1142/S0129065723500442}, journal={International Journal of Neural Systems}, publisher={World Scientific Pub Co Pte Ltd}, author={Sanaullah, Sanaullah and Koravuna, Shamini and Rückert, Ulrich and Jungeblut, Thorsten}, year={2023} }
Sanaullah, Sanaullah, Shamini Koravuna, Ulrich Rückert, and Thorsten Jungeblut. “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.” International Journal of Neural Systems, 2023. https://doi.org/10.1142/S0129065723500442.
S. Sanaullah, S. Koravuna, U. Rückert, and T. Jungeblut, “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim,” International Journal of Neural Systems, 2023.
Sanaullah, Sanaullah, et al. “Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim.” International Journal of Neural Systems, World Scientific Pub Co Pte Ltd, 2023, doi:10.1142/S0129065723500442.
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