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Evolutionary and Computational Advantages of Neuromodulated Plasticity

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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

Evolutionary and Computational Advantages of Neuromodulated Plasticity

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Chattez avec Graph Search

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Enabling Uncertainty Estimation in Iterative Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Driving and suppressing the human language network using large language models

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Subcortical correlates of consciousness with human single neuron recordings

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

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

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Enabling Uncertainty Estimation in Iterative Neural Networks

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Coupling a recurrent neural network to SPAD TCSPC systems for real-time fluorescence lifetime imaging

Driving and suppressing the human language network using large language models

Error assessment of an adaptive finite elements-neural networks method for an elliptic parametric PDE

Subcortical correlates of consciousness with human single neuron recordings

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