뉴로모픽 반도체를 활용한 동작 인식 어플리케이션

  • Published : 2021.10.01

Abstract

Keywords

References

  1. P. U. Diehl and M. Cook, Front Comput Neurosci, 9, 99 (2015). [doi:10.3389/fncom.2015.00099]
  2. S. R. Kheradpisheh, M. Ganjtabesh, S. J. Thorpe, and T. Masquelier, Neural Network., 99, 56 (2018). [doi:10.1016/j.neunet.2017.12.005]
  3. S. Loiselle, J. Rouat, D. Pressnitzer, and S. Thorpe, 2005 IEEE International Joint Conference on Neural Networks, 4, 2076 (2005). [doi: 10.1109/IJCNN.2005.1556220]
  4. S. G. Wysoski, L. Benuskova, and N. Kasabov, Neural Networks, 23, 819 (2010). [doi:10.1016/j.neunet.2010.04.009]
  5. A. Tavanaei and A. Maida, Neural Information Processing. ICONIP 2017 (Liu D., Xie S., Li Y., Zhao D., El-Alfy ES.) (Springer, Cham, 2017), p. 899. [doi:10.1007/978-3-319-70136-3_95]
  6. B. Han and T. M. Taha, Applied Optics, 49, b83 (2010). [doi:10.1364/AO.49.000B83]
  7. K. Dhoble, N. Nuntalid, G. Indiveri, and N. Kasabov, The 2012 International Joint Conference on Neural Networks(IJCNN), (IEEE, Brisbane, QLD, Australia, 2012). p. 1. [doi: 10.1109/IJCNN.2012.6252439]
  8. A. Mohemmed, S. Schliebs, S. Matsuda, and N. Kasabov, International Journal of Neural Systems, 22, 1250012 (2012). [doi: 10.1142/S0129065712500128]
  9. N. Kasabov, K. Dhoble, N. Nuntalid, and G. Indiveri, Neural Networks, 41, 188 (2013). [doi:10.1016/j.neunet.2012.11.014]
  10. A. Amir et al., 2017 IEEE Conference on Computer Vision and Pattern Recognition(CVPR) (IEEE, Honolulu, HI, USA, 2017). p. 7388. [doi:10.1109/CVPR.2017.781]
  11. S. B. Shrestha and G. Orchard, arXiv preprint arXiv, 1810, 08646 (2018).
  12. J Kaiser, H. Mostafa, and E. Neftci, Front. Neurosci, 14, 424 (2020). [doi:10.3389/fnins.2020.00424]
  13. J. Feng, Neural Network., 14, 955 (2001). [doi:10.1016/S0893-6080(01)00074-0]
  14. J. Feng and D. Brown, Bulletin of Mathematical Biology., 62, 467 (2000). [doi:10.1006/bulm.1999.0162]
  15. Y. H. Liu and X. J. Wang, Journal of computational Neuroscience., 10, 25 (2001). [doi:https://doi.org/10.1023/A:1008916026143]
  16. M. Nelson and J. Rinzel, The Book of GENESIS (James M. Bower., David Beeman. New York, 1998). p. 29. [doi:10.1007/978-1-4612-1634-6_4]
  17. W. Gerstner, W. M. Kistler, R. Naud, and L. Paninski, Neuronal Dynamics: From Single Neurons to Networks and Models of Cognition (Cambridge University Press, Cambridge, 2014).
  18. P. Lichtsteiner, C. Posch, and T. Delbruck., IEEE Journal of Solid-State Circuits, 43, 566 (2008)., [doi:10.1109/JSSC.2007.914337]
  19. N. K. Medathati, H. Neumann, G.S. Masson, and P. Kornprobst, Computer Vision and Image Understanding, 150, 1 (2016). [doi:10.1016/j.cviu.2016.04.009]
  20. F. Akopyan et al., IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34, 1537 (2015). [doi: 10.1109/TCAD.2015.2474396]
  21. S. K. Esser et al., Proceedings of the National Academy of Sciences, 113, 11441 (2016). [doi:10.1073/pnas.1604850113]
  22. E. O. Neftci, H. Mostafa, and F. Zenke, IEEE Signal Processing Magazine, 36, 51 (2019). [doi:10.1109/MSP.2019.2931595]
  23. D. Tran, L. Bourdev, R. Fergus, L. Torresani, and M. Paluri, 2015 IEEE International Conference on Computer Vision (ICCV) (IEEE, Santiago, Chile, 2015) p. 4489. [doi:10.1109/ICCV.2015.510]