Author

Jacob Huth

Institut de la Vision

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Neuroscience· 1

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Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Angelo ArleoiD· 1 shared Timothée MasquelieriD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Angelo ArleoORCID

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1 paper

Recent·Most cited

Convis: A Toolbox To Fit and Simulate Filter-based Models of Early Visual Processing

Jacob Huth, Timothée Masquelier, Angelo Arleo

Convis is a Python toolbox for simulating filter-based models of early visual processing, offering flexibility and gradient-based optimization over existing methods.

Frontiers in Neuroinformatics · Mar 6, 2018Peer-reviewedNeuroscience