| Title |
Classification using a Spiking Neural Network: A Review |
| Authors |
(Yuntae Park) ; (Unang Sunarya) ; (Geunbo Yang) ; (Choongseop Lee) ; (Jaewoo Baek) ; (Suwhan Baek) ; (Cheolsoo Park) |
| DOI |
https://doi.org/10.5573/IEIESPC.2023.12.1.64 |
| Keywords |
Spiking neural network; Machine learning; Neuromorphic; Artificial intelligence |
| Abstract |
In this paper, different types of spiking neural network (SNN) and the methods to teach them are addressed. The spiking neural network is especially designed in a biologically plausible way. Like other neural networks, SNNs trained with certain learning methods have been used for image processing, data mining, and classification, etc. Unlike other neural networks, the SNN uses one-bit spike information, and one of its main advantages is reducing energy consumption. |