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Anterior insula reflects surprise in value-based decision-making and perception

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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

Anterior insula reflects surprise in value-based decision-making and perception

Graph Chatbot

Chattez avec Graph Search

Subcortical correlates of consciousness with human single neuron recordings

Deep Learning Theory Through the Lens of Diagonal Linear Networks

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Unveiling the complexity of learning and decision-making

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Subcortical correlates of consciousness with human single neuron recordings

33.3 MiBMI: A 192/512-Channel 2.46mm² Miniaturized Brain-Machine Interface Chipset Enabling 31-Class Brain-to-Text Conversion Through Distinctive Neural Codes

Unveiling the complexity of learning and decision-making

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Generalization of Scaled Deep ResNets in the Mean-Field Regime

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

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Statistical Inference for Inverse Problems: From Sparsity-Based Methods to Neural Networks

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