Barton, T.; Yu, H.; Rogers, K.; Fulda, N.; Chiang, S.-h.W.; Yorgason, J.; Warnick, K.F.
Towards Low-Power Machine Learning Architectures Inspired by Brain Neuromodulatory Signalling. J. Low Power Electron. Appl. 2022, 12, 59.
https://doi.org/10.3390/jlpea12040059
AMA Style
Barton T, Yu H, Rogers K, Fulda N, Chiang S-hW, Yorgason J, Warnick KF.
Towards Low-Power Machine Learning Architectures Inspired by Brain Neuromodulatory Signalling. Journal of Low Power Electronics and Applications. 2022; 12(4):59.
https://doi.org/10.3390/jlpea12040059
Chicago/Turabian Style
Barton, Taylor, Hao Yu, Kyle Rogers, Nancy Fulda, Shiuh-hua Wood Chiang, Jordan Yorgason, and Karl F. Warnick.
2022. "Towards Low-Power Machine Learning Architectures Inspired by Brain Neuromodulatory Signalling" Journal of Low Power Electronics and Applications 12, no. 4: 59.
https://doi.org/10.3390/jlpea12040059
APA Style
Barton, T., Yu, H., Rogers, K., Fulda, N., Chiang, S.-h. W., Yorgason, J., & Warnick, K. F.
(2022). Towards Low-Power Machine Learning Architectures Inspired by Brain Neuromodulatory Signalling. Journal of Low Power Electronics and Applications, 12(4), 59.
https://doi.org/10.3390/jlpea12040059