You Only Spike Once: Improving Energy-Efficient Neuromorphic Inference to ANN-Level Accuracy

no code implementations • 3 Jun 2020 • Srivatsa P, Kyle Timothy Ng Chu, Burin Amornpaisannon, Yaswanth Tavva, Venkata Pavan Kumar Miriyala, Jibin Wu, Malu Zhang, Haizhou Li, Trevor E. Carlson

Rate-encoded SNNs could be seen as inefficient as an encoding scheme because it involves the transmission of a large number of spikes.

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks

no code implementations • 26 Mar 2020 • Malu Zhang, Jiadong Wang, Burin Amornpaisannon, Zhixuan Zhang, VPK Miriyala, Ammar Belatreche, Hong Qu, Jibin Wu, Yansong Chua, Trevor E. Carlson, Haizhou Li

In STDBP algorithm, the timing of individual spikes is used to convey information (temporal coding), and learning (back-propagation) is performed based on spike timing in an event-driven manner.

Decision Making