EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations

15 October 2020

Papers citing "EqSpike: Spike-driven Equilibrium Propagation for Neuromorphic Implementations"

21 / 21 papers shown

Title
Equilibrium Propagation for Learning in Lagrangian Dynamical Systems Serge Massar 38 0 0 12 May 2025
Harnessing uncertainty when learning through Equilibrium Propagation in neural networks Jonathan Peters Philippe Talatchian 70 0 0 28 Mar 2025
Scaling Equilibrium Propagation to Deep ConvNets by Drastically Reducing its Gradient Estimator Bias Axel Laborieux M. Ernoult B. Scellier Yoshua Bengio Julie Grollier D. Querlioz 46 73 0 06 Jun 2020
Training End-to-End Analog Neural Networks with Equilibrium Propagation Jack D. Kendall Ross D. Pantone Kalpana Manickavasagam Yoshua Bengio B. Scellier 35 82 0 02 Jun 2020
Equilibrium Propagation with Continual Weight Updates M. Ernoult Julie Grollier D. Querlioz Yoshua Bengio B. Scellier 33 38 0 29 Apr 2020
S4NN: temporal backpropagation for spiking neural networks with one spike per neuron Saeed Reza Kheradpisheh T. Masquelier 60 188 0 21 Oct 2019
SpikeGrad: An ANN-equivalent Computation Model for Implementing Backpropagation with Spikes Johannes C. Thiele O. Bichler A. Dupret 48 33 0 03 Jun 2019
Updates of Equilibrium Prop Match Gradients of Backprop Through Time in an RNN with Static Input M. Ernoult Julie Grollier D. Querlioz Yoshua Bengio B. Scellier 42 39 0 31 May 2019
Surrogate Gradient Learning in Spiking Neural Networks Emre Neftci Hesham Mostafa Friedemann Zenke 87 1,234 0 28 Jan 2019
Unsupervised Visual Feature Learning with Spike-timing-dependent Plasticity: How Far are we from Traditional Feature Learning Approaches? Pierre Falez Pierre Tirilly Ioan Marius Bilasco P. Devienne Pierre Boulet SSL 46 32 0 14 Jan 2019
Dendritic cortical microcircuits approximate the backpropagation algorithm João Sacramento Rui Ponte Costa Yoshua Bengio Walter Senn 78 312 0 26 Oct 2018
Generalization of Equilibrium Propagation to Vector Field Dynamics B. Scellier Anirudh Goyal Jonathan Binas Thomas Mesnard Yoshua Bengio 48 32 0 14 Aug 2018
BP-STDP: Approximating Backpropagation using Spike Timing Dependent Plasticity A. Tavanaei Anthony Maida 45 191 0 12 Nov 2017
Gradient Descent for Spiking Neural Networks Dongsung Huh T. Sejnowski 61 256 0 14 Jun 2017
Neuromorphic Deep Learning Machines Emre Neftci C. Augustine Somnath Paul Georgios Detorakis BDL 152 259 0 16 Dec 2016
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity Thomas Mesnard W. Gerstner Johanni Brea 40 17 0 09 Dec 2016
Training Deep Spiking Neural Networks using Backpropagation Junhaeng Lee T. Delbruck Michael Pfeiffer 87 945 0 31 Aug 2016
Supervised learning based on temporal coding in spiking neural networks Hesham Mostafa 68 354 0 27 Jun 2016
XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks Mohammad Rastegari Vicente Ordonez Joseph Redmon Ali Farhadi MQ 159 4,350 0 16 Mar 2016
Deep Spiking Networks Peter O'Connor Max Welling 34 99 0 26 Feb 2016
Equilibrium Propagation: Bridging the Gap Between Energy-Based Models and Backpropagation B. Scellier Yoshua Bengio 66 491 0 16 Feb 2016