Perceptual learning: why mice do not play backgammon

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Proprioception tells the brain the state of the body based on distributed sensors in the body. However, the principles that govern proprioceptive processing from those distributed sensors are poorly understood. Here, we employ a task-driven neural network ...

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Here we provide the neural data, activation and predictions for the best models and result dataframes of our article "Task-driven neural network models predict neural dynamics of proprioception". It contains the behavioral and neural experimental data (cu ...

In this PhD manuscript, we explore optimisation phenomena which occur in complex neural networks through the lens of

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Perceptual learning: why mice do not play backgammon

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

Topics in statistical physics of high-dimensional machine learning

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

Optimizing Dynamic Aperture Studies with Active Learning

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

Deep Learning Theory Through the Lens of Diagonal Linear Networks

Fast adaptation to rule switching using neuronal surprise

Reduced Training Data for Laser Ultrasound Signal Interpretation by Neural Networks

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Incorporating Projective Geometry into Deep Learning

Safe Deep Neural Networks

Social Opinion Formation and Decision Making Under Communication Trends

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

Driving and suppressing the human language network using large language models

Machine Learning for Modeling Stock Returns

The neural correlates of topographical disorientation-a lesion analysis study

Random matrix methods for high-dimensional machine learning models

Modeling and simulation of neocortical micro- and mesocircuitry. Part II: Physiology and experimentation