Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Band tails in a disordered system

    van Rossum, M., Nieuwenhuizen, T. M., Hofstetter, E. & Schreiber, M., 1993, Photonic band gaps and localization: Proceedings of a NATO ARW on Localization and Propagation of Classical Waves in Random and Periodic Structures held in Aghia Pelaghia, Heraklion, Crete, May 26-30, 1992 . Soukoulis, C. M. (ed.). New York: Springer US, p. 509-513 5 p. (Nato Science Series B:; vol. 308).

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

  2. Third cumulant of the total transmission of diffuse waves

    van Rossum, M. C. W., de Boer, J. F. & Nieuwenhuizen, T. M., 1 Aug 1995, In: Physical Review E - Statistical, Nonlinear and Soft Matter Physics. 52, 2, p. 2053-2065 13 p.

    Research output: Contribution to journalArticlepeer-review

  3. Fast Propagation of Firing Rates through Layered Networks of Noisy Neurons

    van Rossum, M. C. W., Turrigiano, G. G. & Nelson, S. B., 2002, In: The Journal of Neuroscience. 22, 5, p. 1956-1966 11 p.

    Research output: Contribution to journalArticlepeer-review

  4. Computation with populations codes in layered networks of integrate-and-fire neurons

    van Rossum, M. C. W. & Renart, A., 2004, In: Neurocomputing. 58-60, 0, p. 265 - 270

    Research output: Contribution to journalArticlepeer-review

  5. Computational modelling of memory retention from synapse to behaviour

    van Rossum, M. C. W. & Shippi, M., 12 Mar 2013, In: Journal of Statistical Mechanics: Theory and Experiment. 2013, 03, 13 p., P03007.

    Research output: Contribution to journalArticlepeer-review

  6. Deviations from the Gaussian distribution of mesoscopic conductance fluctuations

    van Rossum, M., Lerner, I. V., Altshuler, B. L. & Nieuwenhuizen, T. M., 1 Feb 1997, In: Physical Review B. 55, p. 4710-4716 7 p.

    Research output: Contribution to journalArticlepeer-review

  7. Adaptive integration in the visual cortex by depressing recurrent cortical circuits

    van Rossum, M. C. W., van der Meer, M., Xiao, D. K. & Oram, M. W., Jul 2008, In: Neural Computation. 20, 7, p. 1847-1872 26 p.

    Research output: Contribution to journalArticlepeer-review

  8. Correlation based learning from spike timing dependent plasticity

    van Rossum, M. C. W. & Turrigiano, G. G., 2001, In: Neurocomputing. 38 - 40, p. 409 - 415 7 p.

    Research output: Contribution to journalArticlepeer-review

  9. Effects of Noise on the Spike Timing Precision of Retinal Ganglion Cells

    van Rossum, M. C. W., O'Brien, B. J. & Smith, R. G., 2003, In: Journal of Neurophysiology. 89, 5, p. 2406-2419 14 p.

    Research output: Contribution to journalArticlepeer-review

  10. Optical conductance fluctuations: Diagrammatic analysis in the Landauer approach and nonuniversal effects

    van Rossum, M. C. W., Nieuwenhuizen, T. M. & Vlaming, R., 1 Jun 1995, In: Physical Review E - Statistical, Nonlinear and Soft Matter Physics. 51, 6, p. 6158-6176 19 p.

    Research output: Contribution to journalArticlepeer-review

  11. Multiple scattering of classical waves: microscopy, mesoscopy, and diffusion

    van Rossum, M. C. W. & Nieuwenhuizen, T. M., 1 Jan 1999, In: Reviews of Modern Physics. 71, 1, p. 313-371 59 p.

    Research output: Contribution to journalArticlepeer-review

  12. Anticipation in the Rodent Head Direction System Can Be Explained by an Interaction of Head Movements and Vestibular Firing Properties

    van der Meer, M., Knierim, J. J., Yoganarasimha, D., Wood, E. R. & van Rossum, M. C. W., Oct 2007, In: Journal of Neurophysiology. 98, 4, p. 1883-1897 15 p.

    Research output: Contribution to journalArticlepeer-review

  13. SynSysNet: integration of experimental data on synaptic protein-protein interactions with drug-target relations

    von Eichborn, J., Dunkel, M., Gohlke, B. O., Preissner, S. C., Hoffmann, M. F., Bauer, J. M. J., Armstrong, D., Schaefer, M. H., Andrade-Navarro, M. A., Le Novere, N., Croning, M. D. R., Grant, S. G. N., van Nierop, P., Smit, A. B. & Preissner, R., Jan 2013, In: Nucleic Acids Research. 41, D1, p. D834-D840 7 p.

    Research output: Contribution to journalArticlepeer-review

  14. Wasserstein distances for estimating parameters in stochastic reaction networks

    Öcal, K., Grima, R. & Sanguinetti, G., 15 Nov 2019, Computational Methods in Systems Biology - 17th International Conference, CMSB 2019, Proceedings. Bortolussi, L. & Sanguinetti, G. (eds.). Springer-Verlag, p. 347-351 5 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11773 LNBI).

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

  15. Parameter estimation for biochemical reaction networks using Wasserstein distances

    Öcal, K., Grima, R. & Sanguinetti, G., 23 Dec 2019, In: Journal of Physics A: Mathematical and Theoretical. 53, 3, p. 1-23 24 p., 034002.

    Research output: Contribution to journalArticlepeer-review

  16. Derivative processes for modelling metabolic fluxes

    Žurauskiene, J., Kirk, P., Thorne, T., Pinney, J. & Stumpf, M., 1 Jul 2014, In: Bioinformatics. 30, 13, p. 1892-1898 7 p.

    Research output: Contribution to journalArticlepeer-review

  17. Bayesian non-parametric approaches to reconstructing oscillatory systems and the Nyquist limit

    Žurauskiene, J., Kirk, P., Thorne, T. & Stumpf, M. P. H., 1 Aug 2014, In: Physica a-Statistical mechanics and its applications. 407, p. 33-42 10 p.

    Research output: Contribution to journalArticlepeer-review

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