Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks

26 Mar 2020Malu ZhangJiadong WangZhixuan ZhangAmmar BelatrecheJibin WuYansong ChuaHong QuHaizhou Li

The success of Deep Neural Networks (DNNs) can be attributed to its deep structure, that learns invariant feature representation at multiple levels of abstraction. Brain-inspired Spiking Neural Networks (SNNs) use spatiotemporal spike patterns to encode and transmit information, which is biologically realistic, and suitable for ultra-low-power event-driven neuromorphic implementation... (read more)

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