In our group at the University of Edinburgh, School of Informatics, we focus on developing flexible probabilistic and machine learning methods for modelling and analysing neural activity.
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Onken Lab
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Repositories
- mixedvines Public Forked from asnelt/mixedvines
Python package for canonical vine copula trees with mixed continuous and discrete marginals
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onkenlab/EEG_decoding's past year of commit activity - V1T Public Forked from bryanlimy/V1T
Code for "V1T: Large-scale mouse V1 response prediction using a Vision Transformer"
- ViV1T-closed-loop Public Forked from bryanlimy/ViV1T-closed-loop
Code for "Movie-trained transformer reveals novel response properties to dynamic stimuli in mouse visual cortex"
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onkenlab/ViV1T-closed-loop's past year of commit activity - ViV1T Public Forked from bryanlimy/ViV1T
Code for the 🥉 ViV1T submission in the NeurIPS Sensorium 2023 challenge.
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onkenlab/ViV1T's past year of commit activity - zebrafish-learning Public Forked from Benji4/zebrafish-learning
Analysis of Feature Learning in CNNs on the Example of Video Recordings of Zebrafish
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onkenlab/CopulaGP's past year of commit activity - .github Public
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onkenlab/.github's past year of commit activity
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