Unit

Bertarelli Foundation Chair of Integrative Neuroscience

Laboratory

Related publications (32)

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Bertarelli Foundation Chair of Integrative Neuroscience

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

Robust machine learning for neuroscientific inference

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

Learnable latent embeddings for joint behavioural and neural analysis

Supervised learning and inference of spiking neural networks with temporal coding

Task-driven neural network models predict neural dynamics of proprioception

Deep Learning Generalization with Limited and Noisy Labels

Breaking the Curse of Dimensionality in Deep Neural Networks by Learning Invariant Representations

Contrasting action and posture coding with hierarchical deep neural network models of proprioception

Using Animal Motion Capture to Learn Neural Representations