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Neural adaptation accounts for the dynamic resizing of peripersonal space: evidence from a psychophysical-computational approach

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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

Neural adaptation accounts for the dynamic resizing of peripersonal space: evidence from a psychophysical-computational approach

Graph Chatbot

Chattez avec Graph Search

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

Fast adaptation to rule switching using neuronal surprise

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

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

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

The neural correlates of topographical disorientation-a lesion analysis study

Driving and suppressing the human language network using large language models

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

Fast adaptation to rule switching using neuronal surprise

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

Predicting Visual Stimuli From Cortical Response Recorded With Wide-Field Imaging in a Mouse

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

The neural correlates of topographical disorientation-a lesion analysis study

Driving and suppressing the human language network using large language models

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Generalization of Scaled Deep ResNets in the Mean-Field Regime

InterpretCC: Intrinsic User-Centric Interpretability through Global Mixture of Experts