Expanding memory in recurrent spiking networks

29 October 2023

Papers citing "Expanding memory in recurrent spiking networks"

8 / 8 papers shown

Title
ReckOn: A 28nm Sub-mm2 Task-Agnostic Spiking Recurrent Neural Network Processor Enabling On-Chip Learning over Second-Long Timescales Charlotte Frenkel Giacomo Indiveri 61 100 0 20 Aug 2022
Parallelizing Legendre Memory Unit Training Narsimha Chilkuri C. Eliasmith 63 39 0 22 Feb 2021
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization Aaron Defazio Samy Jelassi ODL 47 68 0 26 Jan 2021
Effective and Efficient Computation with Multiple-timescale Spiking Recurrent Neural Networks Bojian Yin Federico Corradi Sander M. Bohté 67 103 0 24 May 2020
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 99 1,240 0 28 Jan 2019
Long short-term memory and learning-to-learn in networks of spiking neurons G. Bellec Darjan Salaj Anand Subramoney Robert Legenstein Wolfgang Maass 148 490 0 26 Mar 2018
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 338 18,651 0 06 Feb 2015
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 246 16,377 0 30 Apr 2014