Publication

Wireless Power Transfer and Data Communication for Intracranial Neural Implants Case Study

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

Publications associées à Wireless Power Transfer and Data Communication for Intracranial Neural Implants Case Study | EPFL Graph Search

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Scott William Pesme

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

2

-layer diagonal linear networks. This rudimentary architecture, which consists of a two layer feedforward linear network with a diagonal ...

EPFL2024

Wireless Power Transfer and Data Communication for Intracranial Neural Implants Case Study

Graph Chatbot

Chattez avec Graph Search

Active Power Decoupling for Single-Phase Input-Series-Output-Parallel Solid-State Transformers

Fast adaptation to rule switching using neuronal surprise

Static and Dynamic Voltage Balancing for an IGCT-Based Resonant DC Transformer

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Modeling and optimization of PCB coils for inductive power transfer systems

Magnetism of Single Surface Adsorbed Atoms Studied with Radio-Frequency STM

Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Modeling and optimization of PCB coils for inductive power transfer systems

Active Power Decoupling for Single-Phase Input-Series-Output-Parallel Solid-State Transformers

Fast adaptation to rule switching using neuronal surprise

Static and Dynamic Voltage Balancing for an IGCT-Based Resonant DC Transformer

Non-invasive stimulation of the human striatum disrupts reinforcement learning of motor skills

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Magnetism of Single Surface Adsorbed Atoms Studied with Radio-Frequency STM

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Immersive VR for upper-extremity rehabilitation in patients with neurological disorders: a scoping review