期刊
出版社
SPRINGER INTERNATIONAL PUBLISHING AG
DOI: 10.1007/978-3-319-52621-8_16
关键词
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Spiking neural networks are seen as the third generation of neural networks and the closest emulators of their biological counter parts. These networks use spikes as means of transmitting information between neurons. We study the merits and capacity of information transfer using spikes across different encoding and decoding schemes and show that spatio-temporal encoding scheme provides a very high efficiency in information transfer. We then explore learning rules based on neural dynamics that enable learning of spatio-temporal spike patterns. We explore various learning rules that can be used to learn spatio-temporal spike patterns.
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