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An efficient analytical reduction of detailed nonlinear neuron models

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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

An efficient analytical reduction of detailed nonlinear neuron models

Graph Chatbot

Chattez avec Graph Search

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

Subcortical correlates of consciousness with human single neuron recordings

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

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Cortical cell assemblies and their underlying connectivity: An in silico study

Fast adaptation to rule switching using neuronal surprise

The neural correlates of topographical disorientation-a lesion analysis study

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

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

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

Subcortical correlates of consciousness with human single neuron recordings

Biophysically accurate and machine learning-based surrogate models to optimize neuroprosthesis design and operation

Cortical cell assemblies and their underlying connectivity: An in silico study

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

Fast adaptation to rule switching using neuronal surprise

Deep Learning Theory Through the Lens of Diagonal Linear Networks

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

The neural correlates of topographical disorientation-a lesion analysis study