Generalization of Equilibrium Propagation to Vector Field Dynamics
Posted on17/08/2018
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 on24/06/2018
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 on24/06/2018
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 on10/10/2017
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 on10/10/2017
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 on10/10/2017
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