Edinburgh Research Explorer

Mark Van Rossum

(Former employee or visitor)

  1. 2018
  2. FISSA: A neuropil decontamination toolbox for calcium imaging signals

    Keemink, S., Lowe, S., Pakan, J., Dylda, E., Van Rossum, M. & Rochefort, N., 22 Feb 2018, In: Scientific Reports.

    Research output: Contribution to journalArticlepeer-review

  3. 2017
  4. Extraction of synaptic input properties in vivo

    Puggioni, P., Jelitai, M., Duguid, I. & Van Rossum, M., 31 May 2017, In: Neural Computation. 26 p.

    Research output: Contribution to journalArticlepeer-review

  5. Functional consequences of pre- and postsynaptic expression of 2 synaptic plasticity

    Costa, R. P., Mizusaki, B. E. P., Sjöström, P. J. & Van Rossum, M., 16 Jan 2017, In: Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, p. 1-10 10 p.

    Research output: Contribution to journalArticlepeer-review

  6. Integrating Hebbian and homeostatic plasticity: the current state of the field and future research directions

    Keck, T., Toyoizumi, T., Chen, L., Doiron, B., Feldman, D. E., Fox, K., Gerstner, W. G., Haydon, P. G., Hübener, M., Lee, H-K., Lisman, J. E., Rose, T., Sengpiel, F., Stellwagen, D., Stryker, M. P., Turrigiano, G. G. & Van Rossum, M., 16 Jan 2017, In: Philosophical Transactions of the Royal Society B: Biological Sciences. 372, 1715, 23 p.

    Research output: Contribution to journalArticlepeer-review

  7. 2016
  8. Flexible theta sequence compression mediated via phase precessing interneurons

    Chadwick, A., van Rossum, M. C. & Nolan, M. F., 8 Dec 2016, In: eLIFE. 5

    Research output: Contribution to journalArticlepeer-review

  9. A unified account of tilt illusions, association fields, and contour detection based on elastica

    Keemink, S. & van Rossum, M. C. W., Sep 2016, In: Vision Research. 126, p. 164–173 10 p.

    Research output: Contribution to journalArticlepeer-review

  10. 2015
  11. Modelling phase precession in the hippocampus

    Chadwick, A., van Rossum, M. & Nolan, M., 15 Dec 2015, In: BMC Neuroscience. 16, Suppl 1, 2 p., O18.

    Research output: Contribution to journalArticlepeer-review

  12. Unified pre- and postsynaptic long-term plasticity enables reliable and flexible learning

    Costa, R. P., Froemke, R. C., Sjöström, P. J. & Van Rossum, M. C. W., 26 Aug 2015, In: eLIFE. 4, 24 p.

    Research output: Contribution to journalArticlepeer-review

  13. Noise promotes independent control of gamma oscillations and grid firing within recurrent attractor networks

    Solanka, L., van Rossum, M. C. W. & Nolan, M. F., 6 Jul 2015, In: eLIFE. 4, 75 p.

    Research output: Contribution to journalArticlepeer-review

  14. Sloppiness in spontaneously active neuronal networks

    Panas, D., Amin, H., Maccione, A., Muthmann, O., van Rossum, M., Berdondini, L. & Hennig, M. H., 3 Jun 2015, In: Journal of Neuroscience. 35, 22, p. 8480-8492 13 p.

    Research output: Contribution to journalArticlepeer-review

  15. Energy Efficient Sparse Connectivity from Imbalanced Synaptic Plasticity Rules

    Sacramento, J., Wichert, A. & van Rossum, M. C. W., Jun 2015, In: PLoS Computational Biology. 11, 6, e1004265.

    Research output: Contribution to journalArticlepeer-review

  16. Cellular mechanisms underlying behavioral state-dependent bidirectional modulation of motor cortex output

    Schiemann, J., Puggioni, P., Dacre, J., Pelko, M., Domanski, A., Van Rossum, M. & Duguid, I., 26 May 2015, In: Cell Reports. 11, 8, p. 1319–1330 12 p.

    Research output: Contribution to journalArticlepeer-review

  17. Spontaneous action potentials and neural coding in unmyelinated axons

    O'Donnell, C. & van Rossum, M. C. W., Apr 2015, In: Neural Computation. 27, 4, p. 801-18 18 p.

    Research output: Contribution to journalArticlepeer-review

  18. Independent Theta Phase Coding Accounts for CA1 Population Sequences and Enables Flexible Remapping

    Chadwick, A., Van Rossum, M. & Nolan, M., 2 Feb 2015, In: eLIFE.

    Research output: Contribution to journalArticlepeer-review

  19. Stability of Neuronal Networks with Homeostatic Regulation

    Harnack, D., Pelko, M., Chaillet, A., Van Rossum, M. & Chitour, Y., 2015, In: PLoS Computational Biology. 20 p.

    Research output: Contribution to journalArticlepeer-review

  20. 2014
  21. Measuring Symmetry, Asymmetry and Randomness in Neural Network Connectivity

    Esposito, U., Giugliano, M., van Rossum, M. & Vasilaki, E., 9 Jul 2014, In: PLoS ONE. 9, 7, 16 p., 100805.

    Research output: Contribution to journalArticlepeer-review

  22. Coding and decoding from neural populations representing multiple stimuli

    Keemink, S. & Van Rossum, M., 2014.

    Research output: Contribution to conferencePosterpeer-review

  23. Saliency detection without biasing stimulus estimation

    Keemink, S. & Van Rossum, M., 2014.

    Research output: Contribution to conferencePosterpeer-review

  24. Systematic analysis of the contributions of stochastic voltage gated channels to neuronal noise

    O'Donnell, C. & van Rossum, M. C. W., 2014, In: Frontiers in Computational Neuroscience. 8, 105.

    Research output: Contribution to journalArticlepeer-review

  25. 2013
  26. Probabilistic inference of synaptic dynamics in neocortical microcircuits

    Costa, R. P., Sjöström, P. J. & Van Rossum, M., Jul 2013.

    Research output: Contribution to conferencePosterpeer-review

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