TY - GEN
T1 - Early Image Termination Technique during STDP Training of Spiking Neural Network
AU - Lew, Dongwoo
AU - Park, Jongsun
N1 - Funding Information:
This work was supported by the Industrial Strategic Technology Development Program(10077445, Development of SoC technology based on Spiking Neural Cell for smart mobile and IoT Devices) funded By the Ministry of Trade, Industry & Energy(MOTIE, Korea)
Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - Spiking Neural Network (SNN) is a breed of neural networks that seek to achieve low energy and power by more closely mimicking biological brains. SNNs are often trained using lightweight unsupervised learning such as Spike Time Dependent Plasticity (STDP). However, STDP is prone to redundant time steps during training since STDP cannot determine current image needs further training or not. To reduce redundant time steps and lower energy costs during STDP training, we propose a novel technique that terminates training upon an image preemptively. The proposed technique reduces time steps by 44% with accuracy drop of 0.91% on MNIST.
AB - Spiking Neural Network (SNN) is a breed of neural networks that seek to achieve low energy and power by more closely mimicking biological brains. SNNs are often trained using lightweight unsupervised learning such as Spike Time Dependent Plasticity (STDP). However, STDP is prone to redundant time steps during training since STDP cannot determine current image needs further training or not. To reduce redundant time steps and lower energy costs during STDP training, we propose a novel technique that terminates training upon an image preemptively. The proposed technique reduces time steps by 44% with accuracy drop of 0.91% on MNIST.
KW - Spike Timing Dependant Plasticity (STDP)
KW - Spking Neural Network (SNN)
UR - http://www.scopus.com/inward/record.url?scp=85100807956&partnerID=8YFLogxK
U2 - 10.1109/ISOCC50952.2020.9333081
DO - 10.1109/ISOCC50952.2020.9333081
M3 - Conference contribution
AN - SCOPUS:85100807956
T3 - Proceedings - International SoC Design Conference, ISOCC 2020
SP - 79
EP - 80
BT - Proceedings - International SoC Design Conference, ISOCC 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International System-on-Chip Design Conference, ISOCC 2020
Y2 - 21 October 2020 through 24 October 2020
ER -