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

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

Drazen Dujic, Andrea Cervone, Tianyu Wei

Solid-state transformers with input-series outputparallel structures are being considered for a variety of applications requiring MVAC to LVDC conversion. Due to the singlephase AC/DC conversion at the input side, all floating cells of the solid-state tran ...

2024

Fast adaptation to rule switching using neuronal surprise

Wulfram Gerstner

In humans and animals, surprise is a physiological reaction to an unexpected event, but how surprise can be linked to plausible models of neuronal activity is an open problem. We propose a self-supervised spiking neural network model where a surprise signa ...

2024

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

Drazen Dujic, Renan Pillon Barcelos, Nikolina Djekanovic

This paper focuses on the operational characteristics of a medium voltage resonant DC transformer based on a split capacitor IGCT 3L-NPC leg. The study delves into both the dynamic and static balancing aspects of the 3L-NPC when operating in a two-level, 5 ...

2024

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

Alexander Mathis, Alberto Silvio Chiappa, Alessandro Marin Vargas, Axel Bisi

Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...

EPFL Infoscience2024

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

Modeling and optimization of PCB coils for inductive power transfer systems

Xiaotong Du

The auxiliary power supply for medium voltage converters requires high insulation capability between the source and the load. Inductive power transfer technology, with an air gap between the primary and secondary coil, offers such high insulation capabilit ...

EPFL2024

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

Clément Marie Soulard

This thesis investigates the magnetic properties of single atoms and molecules adsorbed on thin magnesium oxide decoupling layers, grown on a silver single crystal. To address these systems experimentally, we use a low temperature scanning tunneling micros ...

EPFL2024

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

Silvestro Micera, Elena Losanno

Background Neurological disorders, such as stroke and chronic pain syndromes, profoundly impact independence and quality of life, especially when affecting upper extremity (UE) function. While conventional physical therapy has shown effectiveness in provid ...

BMC2024

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Volkan Cevher, Grigorios Chrysos, Fanghui Liu

Despite the widespread empirical success of ResNet, the generalization properties of deep ResNet are rarely explored beyond the lazy training regime. In this work, we investigate scaled ResNet in the limit of infinitely deep and wide neural networks, of wh ...

2024

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

Friedhelm Christoph Hummel, Takuya Morishita, Pierre Theopistos Vassiliadis, Elena Beanato, Esra Neufeld, Fabienne Windel, Maximilian Jonas Wessel, Traian Popa, Julie Duqué

Reinforcement feedback can improve motor learning, but the underlying brain mechanisms remain underexplored. In particular, the causal contribution of specific patterns of oscillatory activity within the human striatum is unknown. To address this question, ...

Nature Portfolio2024

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

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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

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

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

Fast adaptation to rule switching using neuronal surprise

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