Courses

Artificial neural networks and machine learning applied to the understanding of biological vision
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Last updated on 2025-05-26 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Artificial neural networks and machine learning applied to the understanding of biological vision
NeuroSchool PhD Program in Neuroscience: Sparse representations
Sparse coding is a technique used in signal processing and machine learning to represent data in a more concise and efficient manner. …
2025-03-11 Computational Neuroscience, NeuroAI & Machine Learning
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Artificial neural networks and machine learning applied to the understanding of biological vision
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Last updated on 2024-05-13 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Sparse representations
Sparse coding is a technique used in signal processing and machine learning to represent data in a more concise and efficient manner. …
2024-04-17 Computational Neuroscience, Computer Vision, NeuroAI & Machine Learning
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Artificial neural networks applied to the understanding of biological vision
2024-04-10 Computational Neuroscience, NeuroAI & Machine Learning
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Interactions between machine learning, artificial neural networks and our understanding of biological vision
Last updated on 2023-05-10 Computational Neuroscience, NeuroAI & Machine Learning
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Artificial neural networks and machine learning applied to the understanding of biological vision
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Last updated on 2023-03-29 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
Cite Project Project Slides URL
Artificial neural networks and machine learning applied to the understanding of biological vision
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
Last updated on 2023-03-29 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Réseaux de neurones artificiels et apprentissage machine appliqués à la compréhension de la vision
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2022-03-23 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2020-04-03 Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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From the retina to action: Understanding visual processing
Visual areas are essential in transforming the raw luminous signal into a representation which efficiently conveys information about …
2019-04-03 Behavioural Neuroscience, Biological Neuroscience, Computational Neuroscience, NeuroAI & Machine Learning, Theoretical Neuroscience
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Probabilities, Bayes and the Free-energy principle
2018-03-26 Computational Neuroscience
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