Generalization of Equilibrium Propagation to Vector Field Dynamics
Posted on17 Aug 2018
Les neuroscientifiques ont longtemps mis en doute la plausibilité biologique de l’algorithme de rétropropagation. Cela est dû à deux raisons principales, les...Read More
Equivalence of Equilibrium Propagation and Recurrent Backpropagation
Posted on24 Jun 2018
Recurrent Backpropagation and Equilibrium Propagation are supervised learning algorithms for fixed point recurrent neural networks which differ in their second phase. In...Read More
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
Posted on24 Jun 2018
We introduce Equilibrium Propagation, a learning framework for energy-based models. It involves only one kind of neural computation, performed in both the...Read More
From STDP towards Biologically Plausible Deep Learning
Posted on10 Oct 2017
We introduce a predictive objective function for the rate aspect of spike-timing dependent plasticity (STDP), i.e., ignoring the effects of synchrony of...Read More
Towards deep learning with spiking neurons in energy based models with contrastive Hebbian plasticity
Posted on10 Oct 2017
In machine learning, error back-propagation in multi-layer neural networks (deep learning) has been impressively successful in supervised and reinforcement learning tasks. As...Read More
STDP-Compatible Approximation of Backpropagation in an Energy-Based Model
Posted on10 Oct 2017
We show that Langevin Monte Carlo Markov chain inference in an energy-based model with latent variables has the property that the early...Read More
