Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2018
  2. ELFI: Engine for Likelihood-Free Inference

    Lintusaari, J., Vuollekoski, H., Kangasrääsiö, A., Skyten, K., Järvenpää, M., Marttinen, P., Gutmann, M., Vehtari, A., Corander, J. & Kaski, S., 20 Jun 2018, (Accepted/In press) In : Journal of Machine Learning Research. 8 p.

    Research output: Contribution to journalArticle

  3. Monitoring brain activity and behaviour in freely moving Drosophila larvae using bioluminescence

    Marescotti, M., Lagogiannis, K., Webb, B., Davies, R. W. & Armstrong, J. D., 18 Jun 2018, In : Scientific Reports. 8, 1, 10 p., 9246.

    Research output: Contribution to journalArticle

  4. Neurons That Update Representations of the Future

    Seriès, P., 11 Jun 2018, In : Trends in Cognitive Sciences. 2 p.

    Research output: Contribution to journalArticle

  5. Deep Dungeons and Dragons: Learning Character-Action Interactions from Role-Playing Game Transcripts

    Louis, A. & Sutton, C., 6 Jun 2018, The 16th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. New Orleans, Louisiana : Association for Computational Linguistics, p. 708-713 6 p.

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

  6. Distinct learning-induced changes in stimulus selectivity and interactions of GABAergic interneuron classes in visual cortex

    Khan, A. G., Poort, J., Chadwick, A., Blot, A., Sahani, M., Mrsic-Flogel, T. D. & Hofer, S. B., Jun 2018, In : Nature Neuroscience. 21, 6, p. 851-859 9 p.

    Research output: Contribution to journalArticle

  7. Autistic traits, but not schizotypy, predict increased weighting of sensory information in Bayesian visual integration

    Karvelis, P., Seitz, A. R., Lawrie, S. & Series, P., 14 May 2018, In : eLIFE. 44 p.

    Research output: Contribution to journalArticle

  8. The Broad-Spectrum Antimicrobial Potential of [Mn(CO)4S2CNMe(CH2CO2H)], a Water-Soluble CO-Releasing Molecule (CORM-401): Intracellular Accumulation, Transcriptomic and Statistical Analyses, and Membrane Polarization

    Wareham, L., McLean, S., Beqq, R., Rana, N., Ali, S., Kendall, J., Sanguinetti, G., Mann, B. & Poole, R., 10 May 2018, In : Antioxidants and Redox Signaling. 28, 14, 66 p.

    Research output: Contribution to journalArticle

  9. Goals and resource constraints in CARMA

    Hillston, J., Georgoulas, A. & Piho, P., 9 May 2018, In : Electronic Notes in Theoretical Computer Science. 337, p. 155-172 18 p.

    Research output: Contribution to journalArticle

  10. A Framework for the Quantitative Evaluation of Disentangled Representations

    Eastwood, C. & Williams, C. K. I., 3 May 2018, Sixth International Conference on Learning Representations (ICLR 2018). 15 p.

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

  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. mRNA Cap Methyltransferase, RNMT-RAM, Promotes RNA Pol II-Dependent Transcription

    Varshney, D., Lombardi, O., Schweikert, G., Dunn, S., Suska, O. & Cowling, V. H., 2 May 2018, In : Cell Reports. 23, 5, p. 1530-1542 14 p.

    Research output: Contribution to journalArticle

  13. Performance-monitoring integrated reweighting model of perceptual learning

    Sotiropoulos, G., Seitz, A. R. & Series, P., 25 Apr 2018, In : Vision Research. 23 p.

    Research output: Contribution to journalArticle

  14. Rule-based modelling provides an extendable framework for comparing candidate mechanisms underpinning clathrin polymerisation

    Sorokin, A., Heil, K., Armstrong, J. D. & Sorokina, O., 4 Apr 2018, In : Scientific Reports. 8, 10 p., 5658.

    Research output: Contribution to journalArticle

  15. Pharmacological validation of individual animal locomotion, temperature and behavioural analysis in group-housed rats using a novel automated home cage analysis system: A comparison with the modified Irwin test

    Tse, K., Sillito, R., Keerie, A., Collier, R., Grant, C., Karp, N. A., Vickers, C., Chapman, K., Armstrong, J. D. & Redfern, W. S., 1 Apr 2018, In : Journal of Pharmacological and Toxicological Methods. 94, p. 1 - 13 13 p.

    Research output: Contribution to journalArticle

  16. The power of synthetic biology for bioproduction, remediation and pollution control

    de Lorenzo, V., Prather, K. LJ., Chen, GQ., O'Day, E., von Kameke, C., Oyarzún, D. A., Hosta‐Rigau, L., Alsafar, H., Cao, C., Ji, W., Okano, H., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 1 Apr 2018, In : EMBO Reports. 19, 4, 6 p., e45658.

    Research output: Contribution to journalArticle

  17. 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)

  18. SHEILA policy framework: Informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Tammets, K., Kollom, K. & Gasevic, D., 9 Mar 2018, Proceedings of the 8th International Conference on Learning Analytics and Knowledge (LAK'18). Sydney: ACM Press, 10 p.

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

  19. Bat detective - Deep learning tools for bat acoustic signal detection

    Mac Aodha, O., Gibb, R., Barlow, K. E., Browning, E., Firman, M., Freeman, R., Harder, B., Kinsey, L., Mead, G. R., Newson, S. E., Pandourski, I., Parsons, S., Russ, J., Szodoray-Paradi, A., Szodoray-Paradi, F., Tilova, E., Girolami, M., Brostow, G. & Jones, K. E., 8 Mar 2018, In : PLoS Computational Biology. 14, 3, p. 1-19 19 p.

    Research output: Contribution to journalArticle

  20. 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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