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Gaussian process based nonlinear latent structure discovery in multivariate spike train data
A large body of recent work focuses on methods for extracting low-dimensional latent structure from multi-neuron spike train data. Most such methods employ either linear latent dynamics or linear mappings from latent space to log spike rates. Here we propose a doubly nonlinear latent variable model...
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| I publikationen: | Adv Neural Inf Process Syst |
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| Huvudupphovsmän: | , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6594561/ https://ncbi.nlm.nih.gov/pubmed/31244512 |
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