Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. Slice sampling covariance hyperparameters of latent Gaussian models

    Murray, I. & Adams, R. P., 2010, Neural Information Processing Systems Conference 2010. 9 p.

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

  2. 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

  3. Slow NMDA-Mediated Excitation Accelerates Offset-Response Latencies Generated via a Post-Inhibitory Rebound Mechanism

    Rajaram, E., Kaltenbach, C., Fischl, M. J., Mrowka, L., Alexandrova, O., Grothe, B., Hennig, M. H. & Kopp-Scheinpflug, C., 4 Jun 2019, In: eNeuro. 6, 3, 20 p.

    Research output: Contribution to journalArticlepeer-review

  4. Smoothed model checking for uncertain Continuous-Time Markov Chains

    Bortolussi, L., Milios, D. & Sanguinetti, G., 1 Apr 2016, In: Information and Computation. 247, p. 235-253 19 p.

    Research output: Contribution to journalArticlepeer-review

  5. Soft-bound synaptic plasticity increases storage capacity

    van Rossum, M. C. W., Shippi, M. & Barrett, A. B., 2012, In: PLoS Computational Biology. 8, 12, 11 p., e1002836.

    Research output: Contribution to journalArticlepeer-review

  6. Some issues in computational modelling: Occam’s Razor and Hegel’s hair gel

    Shillcock, R., Roberts, M., Kreiner, H. & Obregon-Sargent, M., 2011, Connectionist Models of Neurocognition and Emergent Behaviour. Davelaar, E. (ed.). Singapore: World Scientific Press, p. 343-355 13 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  7. 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)peer-review

  8. Space-by-time decomposition for single-trial decoding of M/EEG activity

    Delis, I., Onken, A., Schyns, P. G., Panzeri, S. & Philiastides, M. G., 24 Mar 2016, In: NeuroImage. 133, Supplement C, p. 504-515 12 p.

    Research output: Contribution to journalArticlepeer-review

  9. Sparse Approximate Inference for Spatio-Temporal Point Process Models

    Cseke, B., Sanguinetti, G. & Mangion, A. Z., 4 Jan 2017, In: Journal of the American Statistical Association. 111, 516, p. 1746-1763 8 p.

    Research output: Contribution to journalArticlepeer-review

  10. Sparse Forward-Backward Using Minimum Divergence Beams for Fast Training Of Conditional Random Fields

    Pal, C., Sutton, C. & McCallum, A., 1 May 2006, Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on. Institute of Electrical and Electronics Engineers (IEEE), Vol. 5. p. 581-584 4 p.

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