Digit Recognition Using Spiking Neural Networks on FPGA
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43085-5_32
Reference22 articles.
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3. Chakraborty, I., Jaiswal, A., Saha, A., Gupta, S., Roy, K.: Pathways to efficient neuromorphic computing with non-volatile memory technologies. Appl. Phys. Rev. 7(2), 021308 (2020)
4. Sanaullah, Koravuna, S., Rückert, U., Jungeblut, T.: SNNs model analyzing and visualizing experimentation using RAVSim. In: Iliadis, L., Jayne, C., Tefas, A., Pimenidis, E. (eds.) Engineering Applications of Neural Networks. EANN 2022. Communications in Computer and Information Science, vol. 1600, pp. 40–51. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-08223-8_4
5. Ahmadi, M., Sharifi, A., Hassantabar, S., Enayati, S.: QAIS-DSNN: tumor area segmentation of MRI image with optimized quantum matched-filter technique and deep spiking neural network. BioMed. Res. Int. 2021, 6653879 (2021)
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