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A Neurocomputational Model of an Imitation Deficit following Brain Lesion

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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

A Neurocomputational Model of an Imitation Deficit following Brain Lesion

Graph Chatbot

Chattez avec Graph Search

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Driving and suppressing the human language network using large language models

Fast adaptation to rule switching using neuronal surprise

Small-scale robotic devices for medical interventions in the brain

Investigating neural resource allocation in the sensorimotor control of extra limbs

An immersive virtual reality tool for assessing left and right unilateral spatial neglect

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Intraday solar irradiance forecasting using public cameras

Task-driven neural network models predict neural dynamics of proprioception: Neural network model weights

Infusing structured knowledge priors in neural models for sample-efficient symbolic reasoning

Driving and suppressing the human language network using large language models

Fast adaptation to rule switching using neuronal surprise

Small-scale robotic devices for medical interventions in the brain

Investigating neural resource allocation in the sensorimotor control of extra limbs

An immersive virtual reality tool for assessing left and right unilateral spatial neglect

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Intraday solar irradiance forecasting using public cameras

Deep Learning Theory Through the Lens of Diagonal Linear Networks