학술논문

Methods of learning for spiking neural networks. A survey
Document Type
Conference
Source
2016 13th International Scientific-Technical Conference on Actual Problems of Electronics Instrument Engineering (APEIE) Actual Problems of Electronics Instrument Engineering (APEIE), 2016 13th International Scientific-Technical Conference on. 02:455-460 Oct, 2016
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
General Topics for Engineers
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Neurons
Biological neural networks
Training
Encoding
Radio frequency
Firing
Hardware
Spiking neural networks
training of neural networks
machine learning
Language
Abstract
The paper aims to give general performance on achievements and trends in techniques for training of spiking neural networks in context of its hardware implementation, i.e. of neuromorphic technology.