Edinburgh Research Explorer

Arno Onken

Lecturer in Data Science for Life Sciences

  1. 2020
  2. Analysis of Video Feature Learning in Two-Stream CNNs on the Example of Zebrafish Swim Bout Classification

    Breier, B. & Onken, A., 30 Apr 2020, Proceedings of the International Conference on Learning Representations, 2020. Addis Ababa, Ethiopia, p. 1-18 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  3. Parametric Copula-GP model reveals tuning of neuronal and behavioral relationships to visual stimuli

    Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 1 Mar 2020. 1 p.

    Research output: Contribution to conferencePoster

  4. State-dependent brainstem ensemble dynamics and their interactions with hippocampus across sleep states

    Tsunematsu, T., Patel, A., Onken, A. & Sakata, S., 14 Jan 2020, In : eLIFE. 9, 22 p., e52244.

    Research output: Contribution to journalArticle

  5. 2019
  6. Categorical encoding of decision variables in orbitofrontal cortex

    Onken, A., Xie, J., Panzeri, S. & Padoa-Schioppa, C., 14 Oct 2019, In : PLoS Computational Biology. 15, 10, 27 p., e1006667.

    Research output: Contribution to journalArticle

  7. Parametric copula models reveal neuronal and behavioral time-dependent relationships in primary visual cortex

    Kudryashova, N., Amvrosiadis, T., Dupuy, N., Rochefort, N. & Onken, A., 19 Sep 2019. 1 p.

    Research output: Contribution to conferencePoster

  8. 2018
  9. Information Estimation Using Non-Parametric Copulas

    Safaai, H., Onken, A., Harvey, C. & Panzeri, S., 10 Oct 2018, (Accepted/In press) In : Physical Review E. 17 p.

    Research output: Contribution to journalArticle

  10. Deep multimodal autoencoders for identifying latent representations of spike counts and local field potentials

    Onken, A., Yague, J. & Sakata, S., 27 Sep 2018.

    Research output: Contribution to conferencePoster

  11. Synthesizing realistic neural population activity patterns using Generative Adversarial Networks

    Molano-Mazon, M., Onken, A., Piasini, E. & Panzeri, S., 3 May 2018, International Conference on Learning Representations 2018. 24 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  12. Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

    Delis, I., Onken, A. & Panzeri, S., 21 Mar 2018, Mathematical and Theoretical Neuroscience. Springer, Cham, p. 223-237 (INdAM Series; vol. 24).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  13. Empirical vine copula modeling to study multivariate neural representations during complex behaviors

    Safaai, H., Chettih, S., Onken, A., Panzeri, S. & Harvey, C., 3 Mar 2018, p. 244-245. 2 p.

    Research output: Contribution to conferenceAbstract

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