Publication

Interferences in the Transformation of Reference Frames during a Posture Imitation Task

Publications associées (33)

À propos
Confidentialité
Mentions légales

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

Connectez-vous pour utiliser Chat avec Graph Search

Interferences in the Transformation of Reference Frames during a Posture Imitation Task

Graph Chatbot

Chattez avec Graph Search

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Overcoming Multi-model Forgetting

The Unfolding Argument: Why Recurrent Processing Cannot Explain Consciousness

Real-time Convolutional Networks for Depth-based Human Pose Estimation

Neural assemblies as core elements for modeling neural networks in the brain

Slow fluctuations in recurrent networks of spiking neurons

Music Learning with Long Short Term Memory Networks

Stochastic variational learning in recurrent spiking networks

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Overcoming Multi-model Forgetting

Analog Neural Networks with Deep-submicron Nonlinear Synapses

Real-time Convolutional Networks for Depth-based Human Pose Estimation

The Unfolding Argument: Why Recurrent Processing Cannot Explain Consciousness

Neural assemblies as core elements for modeling neural networks in the brain

Music Learning with Long Short Term Memory Networks

Slow fluctuations in recurrent networks of spiking neurons

Stochastic variational learning in recurrent spiking networks