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Neurosciences computationnelles

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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

Neurosciences computationnelles

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Chattez avec Graph Search

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Investigating neural resource allocation in the sensorimotor control of extra limbs

Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Bodily implant microelectrode and bodily implant microelectrode fabrication method

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Functional MRI Neurofeedback Outperforms Cognitive Behavioral Therapy for Reducing Tinnitus Distress: A Prospective Randomized Clinical Trial

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub

Functional MRI Neurofeedback Outperforms Cognitive Behavioral Therapy for Reducing Tinnitus Distress: A Prospective Randomized Clinical Trial

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A Combination Technique for Optimal Control Problems Constrained by Random PDEs

Spectral representation of EEG data using learned graphs with application to motor imagery decoding

Training a Filter-Based Model of the Cochlea in the Context of Pre-Trained Acoustic Models

Bodily implant microelectrode and bodily implant microelectrode fabrication method

Fast refacing of MR images with a generative neural network lowers re-identification risk and preserves volumetric consistency

Investigating neural resource allocation in the sensorimotor control of extra limbs

Emulating Multimemristive Behavior of Silicon Nanowire-Based Biosensors by Using CMOS-Based Implementations

Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub