Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations

19 September 2017

Papers citing "Algorithm and Hardware Design of Discrete-Time Spiking Neural Networks Based on Back Propagation with Binary Activations"

6 / 6 papers shown

Title
In the realm of hybrid Brain: Human Brain and AI Hoda Fares Margherita Ronchini M. Zamani H. Farkhani F. Moradi 33 5 0 04 Oct 2022
Sparse Compressed Spiking Neural Network Accelerator for Object Detection Hong-Han Lien Tian-Sheuan Chang 19 26 0 02 May 2022
Signal Propagation: A Framework for Learning and Inference In a Forward Pass Adam A. Kohan E. Rietman H. Siegelmann 21 26 0 04 Apr 2022
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 28 47 0 09 Oct 2020
Spiking Neural Networks Hardware Implementations and Challenges: a Survey Maxence Bouvier A. Valentian T. Mesquida F. Rummens M. Reyboz Elisa Vianello E. Beigné 56 113 0 04 May 2020
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 15 32 0 03 Jun 2019