Edinburgh Research Explorer

Institute for Adaptive and Neural Computation

Organisational unit: Research Institute

  1. 2019
  2. 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

  3. Effect of User Practice on Prosthetic Finger Control With an Intuitive Myoelectric Decoder

    Krasoulis, A., Vijayakumar, S. & Nazarpour, K., 10 Sep 2019, In : Frontiers in Neuroscience. 13, 16 p., 891.

    Research output: Contribution to journalArticle

  4. Policy Matters: Expert Recommendations for Learning Analytics Policy

    Scheffel, M., Tsai, Y-S., Gasevic, D. & Drachsler, H., 9 Sep 2019, Transforming Learning with Meaningful Technologies. EC-TEL 2019.. Springer, p. 510-524 15 p. (Lecture Notes in Computer Science; vol. 11722).

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

  5. Vision2Sensor: Knowledge Transfer Across Sensing Modalities for Human Activity Recognition

    Radu, V. & Henne, M., 9 Sep 2019, In : PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 3, 3, p. 84:1-84:21 21 p., 84.

    Research output: Contribution to journalArticle

  6. Temporal modulation of the response of sensory fibers to paired-pulse stimulation

    Brunton, E. K., Silveira, C., Rosenberg, J., Schiefer, M. A., Riddell, J. & Nazarpour, K., 1 Sep 2019, In : IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27, 9, p. 1676 - 1683 8 p.

    Research output: Contribution to journalArticle

  7. Geometric fluid approximation for general continuous-time Markov chains

    Michaelides, M., Hillston, J. & Sanguinetti, G., Sep 2019, In : Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences. 475, 2229, 25 p.

    Research output: Contribution to journalArticle

  8. Resolving outbreak dynamics using approximate Bayesian computation for stochastic birth-death models

    Lintusaari, J., Blomstedt, P., Sivula, T., Gutmann, M., Kaski, S. & Corander, J., 30 Aug 2019, In : Wellcome Open Research . 4, 14, 10 p.

    Research output: Contribution to journalArticle

  9. GEMSEC: Graph Embedding with Self Clustering

    Rózemberczki, B., Davies, R., Sarkar, R. & Sutton, C., 27 Aug 2019, ASONAM '19: Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. Spezzano, F., Chen, W. & Xiao, X. (eds.). Association for Computing Machinery (ACM), p. 65-72 8 p.

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

  10. Acquisition of visual priors and induced hallucinations in chronic schizophrenia

    Valton, V., Karvelis, P., Richards, K. L., Seitz, A. R., Lawrie, S. M. & Series, P., 1 Aug 2019, In : Brain. 142, 8, p. 2523–2537 35 p.

    Research output: Contribution to journalArticle

  11. Statistical Models of Neural Activity, Criticality, and Zipf’s Law

    Sorbaro, M., Herrmann, J. M. & Hennig, M., 24 Jul 2019, The Functional Role of Critical Dynamics in Neural Systems. Springer International Publishing, p. 265-287 (Springer Series on Bio- and Neurosystems; vol. 11).

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

  12. ColNet: Embedding the Semantics of Web Tables for Column Type Prediction

    Chen, J., Jiménez-Ruiz, E., Horrocks, I. & Sutton, C., 23 Jul 2019, Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19): Thirty-First Conference on Innovative Applications of Artificial Intelligence The Ninth Symposium on Educational Advances in Artificial Intelligence - AAAI Technical Track: AI and the Web. Honolulu, Hawaii, United States: AAAI Press, Vol. 33. p. 29-36 8 p. (Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence).

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

  13. Riboswitch identification using Ligase-Assisted Selection for the Enrichment of Responsive Ribozymes (LigASERR)

    Haines, M. C., Storch, M., Oyarzún, D. A., Stan, G-B. & Baldwin, G. S., 8 Jul 2019, In : Synthetic Biology.

    Research output: Contribution to journalArticle

  14. BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

    Cooper Stickland, A. & Murray, I., 3 Jul 2019, Proceedings of the 36th International Conference on Machine Learning (ICML). Chaudhuri, K. & Salakhutdinov, R. (eds.). Long Beach, USA: PMLR, Vol. 97. p. 5986-5995 12 p. (Proceedings of Machine Learning Research; vol. 97).

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

  15. Cubic-Spline Flows

    Durkan, C., Bekasovs, A., Murray, I. & Papamakarios, G., 15 Jun 2019, First workshop on Invertible Neural Networks and Normalizing Flows: at ICML 2019. 7 p.

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

  16. How do we start? An Approach to Learning Analytics Adoption in Higher Education

    Gasevic, D., Tsai, Y-S., Dawson, S. & Pardo, A., 12 Jun 2019, In : International Journal of Information and Learning Technology. 12 p.

    Research output: Contribution to journalArticle

  17. Model Criticism in Latent Space

    Seth, S., Murray, I. & Williams, C. K. I., 11 Jun 2019, In : Bayesian analysis. 14, 3, p. 703-725 23 p.

    Research output: Contribution to journalArticle

  18. PartCrafter: Find, Generate, and Analyze BioParts

    Scher, E., Cohen, S. & Sanguinetti, G., 4 Jun 2019, In : Synthetic Biology. 4, 1, 12 p.

    Research output: Contribution to journalArticle

  19. 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 journalArticle

  20. Growth defects and loss-of-function in synthetic gene circuits

    Nikolados, E-M., Weisse, A., Ceroni, F. & Oyarzún, D., 1 Jun 2019, In : ACS Synthetic Biology. 8, 6, p. 1231−1240 10 p.

    Research output: Contribution to journalArticle

  21. Studies on long term behavioural changes in group-housed rat models of brain and spinal cord injury using an automated home cage recording system

    Yip, P. K., Chapman, G. E., Sillito, R. R., Ip, T. H. R., Akhigbe, G., Becker, S. C., Price, A. W., Michael-Titus, A. T., Armstrong, J. D. & Tremoleda, J. L., Jun 2019, In : Journal of Neuroscience Methods. 321, p. 49 - 63 15 p.

    Research output: Contribution to journalArticle

  22. Dealing with Ambiguity in Robotic Grasping via Multiple Predictions

    Ghazaei, G., Laina, I., Rupprecht, C., Tombari, F., Navab, N. & Nazarpour, K., 25 May 2019, Computer Vision -- ACCV 2018. Jawahar, C. V., Li, H., Mori, G. & Schindler, K. (eds.). Cham: Springer International Publishing, p. 38-55 18 p. (Lecture Notes in Computer Science ; vol. 11364).

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

  23. Scaling Spike Detection and Sorting for Next-Generation Electrophysiology

    Hennig, M. H., Hurwitz, C. & Sorbaro, M., 10 May 2019, In Vitro Neuronal Networks: From Culturing Methods to Neuro-Technological Applications. Springer New York LLC, p. 171-184 14 p. (Advances in Neurobiology; vol. 22).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  24. Exploration by random network distillation

    Burda, Y., Edwards, H., Storkey, A. & Klimov, O., 9 May 2019, 7th International Conference on Learning Representations (ICLR 2019). p. 1-17 17 p.

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

  25. Large-Scale Study of Curiosity-Driven Learning

    Burda, Y., Edwards, H., Pathak, D., Storkey, A., Darrell, T. & Efros, A. A., 9 May 2019, 7th International Conference on Learning Representations (ICLR 2019). p. 1-17 17 p.

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

  26. Mode Normalization

    Deecke, L., Murray, I. & Bilen, H., 9 May 2019, Proceedings of the Seventh International Conference on Learning Representations (ICLR 2019). New Orleans, Louisiana, USA, 12 p.

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

  27. A CMOS Analog Front-End for Tunnelling Magnetoresistive Spintronic Sensing Systems

    Zuo, S., Fan, H., Nazarpour, K. & Heidari, H., 1 May 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS). Institute of Electrical and Electronics Engineers (IEEE), p. 1-5 5 p.

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

  28. Centre Report 2019: Centre for Research in Digital Education

    Bayne, S., Ewins, A., Evans, P., Gallagher, M., Ghazali-Mohammed, Z., Manches, A., Odai, L., Knox, J., Menzies, J., O'shea, C., Plowman, L., Ross, J., Sowton, C., Robertson, J., Sheail, P., Tsai, Y-S., Wang, Y., Williamson, B., Farrell, K., Lawson, T. & 1 others, Priztker, R., 1 May 2019, The Centre for Research in Digital Education. 21 p.

    Research output: Book/ReportCommissioned report

  29. Adaptive Gaussian Copula ABC

    Chen, Y. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 1584-1592 14 p. (Proceedings of Machine Learning Research; vol. 89).

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

  30. Efficient Bayesian Experimental Design for Implicit Models

    Kleinegesse, S. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 476-485 10 p. (Proceedings of Machine Learning Research; vol. 89).

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

  31. Variational Noise-Contrastive Estimation

    Rhodes, B. & Gutmann, M., 25 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS 2019). Naha, Okinawa, Japan: PMLR, Vol. 89. p. 2741-2750 14 p. (Proceedings of Machine Learning Research; vol. 89).

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

  32. Context-Based Object Recognition: Indoor Versus Outdoor Environments

    Alameer, A., Degenaar, P. & Nazarpour, K., 24 Apr 2019, Advances in Computer Vision. Arai, K. & Kapoor, S. (eds.). Cham: Springer International Publishing AG, p. 473-490 18 p. (Advances in Intelligent Systems and Computing; vol. 944).

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

  33. Inverting Supervised Representations with Autoregressive Neural Density Models

    Nash, C., Kushman, N. & Williams, C. K. I., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research; vol. 89).

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

  34. Multi-Task Time Series Analysis applied to Drug Response Modelling

    Bird, A., Williams, C. K. I. & Hawthorne, C., 18 Apr 2019, Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics. Lawrence, N. & Reid, M. (eds.). PMLR, Vol. 89. 10 p. (Proceedings of Machine Learning Research; vol. 89).

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

  35. Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

    Papamakarios, G., Sterratt, D. C. & Murray, I., 18 Apr 2019, Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) 2019. Naha, Okinawa, Japan: PMLR, p. 837-848 12 p. (Proceedings of Machine Learning Research; vol. 89).

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

  36. Dynamic Evaluation of Transformer Language Models

    Krause, B., Mbabazi, E., Murray, I. & Renals, S., 17 Apr 2019, 6 p.

    Research output: Working paper

  37. Practical steps to digital organism models, from laboratory model species to ‘Crops in silico

    Millar, A. J., Urquiza Garcia, J., Freeman, P., Hume, A., Plotkin, G. D., Sorokina, O., Zardilis, A. & Zielinski, T., 15 Apr 2019, In : Journal of Experimental Botany. 70, 9, p. 2403–2418 16 p., JEXBOT/2018/235879.

    Research output: Contribution to journalReview article

  38. Regeneration of dopaminergic neurons in adult zebrafish depends on immune system activation and differs for distinct populations

    Caldwell, L., Davies, N. O., Cavone, L., Mysiak, K., Semenova, S., Panula, P., Armstrong, J. D., Becker, C. G. & Becker, T., 4 Apr 2019, In : Journal of Neuroscience.

    Research output: Contribution to journalArticle

  39. Melissa: Bayesian clustering and imputation of single cell methylomes

    Kapourani, C. A. & Sanguinetti, G., 21 Mar 2019, In : Genome Biology. 20, 1, 15 p., 61.

    Research output: Contribution to journalArticle

  40. Stochastic modelling reveals mechanisms of metabolic heterogeneity

    Tonn, M., Thomas, P., Barahona, M. & Oyarzun, D., 21 Mar 2019, In : Communications biology. 2, 9 p., 108.

    Research output: Contribution to journalArticle

  41. Motor Learning for Control of Prosthetic Limbs

    Krasoulis, A., Dyson, M., Dupan, S. & Nazarpour, K., 20 Mar 2019.

    Research output: Contribution to conferencePaper

  42. Bayesian Inference of Atomistic Structure in Functional Materials

    Todorovic, M., Gutmann, M., Corander, J. & Rinke, P., 18 Mar 2019, In : npj Computational Materials. 5, 7 p., 35.

    Research output: Contribution to journalArticle

  43. Endoscopic sensing of distal lung physiology

    Choudhury, D., Tanner, M. G., McAughtrie, S., Yu, F., Mills, B., Choudhary, T. R., Seth, S., Craven, T. H., Stone, J. M., Mati, I. K., Campbell, C. J., Bradley, M., Williams, C. K. I., Dhaliwal, K., Birks, T. A. & Thomson, R. R., 18 Mar 2019, In : Journal of Physics: Conference Series. 1151, 9 p., 012009.

    Research output: Contribution to journalArticle

  44. Evolutionary dynamics of residual disease in human glioblastoma

    Spiteri, I., Caravagna, G., Cresswell, G., Vatsiou, A., Nichol, D., Acar, A., Ermini, L., Chkhaidze, K., Werner, B., Mair, R., Brognaro, E., Verhaak, R., Sanguinetti, G., Sara, P., Watts, C. & Sottoriva, A., Mar 2019, In : Annals of Oncology. 30, 3, p. 456–463 8 p., mdy506.

    Research output: Contribution to journalArticle

  45. Post-traumatic stress disorder as a disorder of prediction

    Seriès, P., Mar 2019, In : Nature Neuroscience. 22, 3, p. 334-336 3 p.

    Research output: Contribution to journalArticle

  46. Analysis of a genetic-metabolic oscillator with piecewise linear models

    Chaves, M., Oyarzun, D. & Gouze, J-L., 7 Feb 2019, In : Journal of Theoretical Biology. 462, p. 259-269 11 p.

    Research output: Contribution to journalArticle

  47. Are We There Yet? How and When Specific Biotechnologies Will Improve Human Health

    O'Day, E., Hosta‐Rigau, L., Oyarzun, D., Okano, H., de Lorenzo, V., von Kameke, C., Alsafar, H., Cao, C., Chen, G-Q., Ji, W., Roberts, R. J., Ronaghi, M., Yeung, K., Zhang, F. & Lee, S. Y., 10 Jan 2019, In : Biotechnology Journal. 14, 1, p. 1-11 11 p.

    Research output: Contribution to journalArticle

  48. Modelling socio-economic and energy data to generate business-as-usual scenarios for carbon emissions

    Roberts, S. H., Axon, C. J., Goddard, N. H., Foran, B. D. & Warr, B. S., 10 Jan 2019, In : Journal of Cleaner Production. 207, p. 980 - 997 18 p.

    Research output: Contribution to journalArticle

  49. Learning analytics adoption – approaches and maturity

    Tsai, Y-S., Kovanović, V. & Gasevic, D., 3 Jan 2019, (Accepted/In press). 2 p.

    Research output: Contribution to conferencePoster

  50. Probabilistic Programming with Densities in SlicStan: Efficient, Flexible, and Deterministic

    Gorinova, M. I., Gordon, A. D. & Sutton, C., 2 Jan 2019, In : Proceedings of the ACM on Programming Languages (PACMPL). 3, POPL, p. 35:1-35:30 30 p., 35.

    Research output: Contribution to journalArticle

  51. Dynamics of complex feedback architectures in metabolic pathways

    Chaves, M. & Oyarzun, D., 1 Jan 2019, In : Automatica. 99, p. 323-332 10 p.

    Research output: Contribution to journalArticle

  52. EXOTica: An Extensible Optimization Toolset for Prototyping and Benchmarking Motion Planning and Control

    Ivan, V., Yang, Y., Merkt, W., Camilleri, M. P. & Vijayakumar, S., 2019, Robot Operating System (ROS): The Complete Reference (Volume 3). Koubaa, A. (ed.). Cham: Springer International Publishing, p. 211-240 30 p. (Studies in Computational Intelligence ; vol. 778).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  53. Gene Regulatory Network Inference: An Introductory Survey

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 1-23 23 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  54. Gene Regulatory Networks: Methods and Protocols

    Sanguinetti, G. (ed.) & Huynh-Thu, V. A. (ed.), 2019, Humana Press. 285 p. (Methods in Molecular Biology Series Volume; vol. 1883)

    Research output: Book/ReportBook

  55. How to train your MAML

    Antoniou, A., Edwards, H. & Storkey, A., 2019. 11 p.

    Research output: Contribution to conferencePaper

  56. On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length

    Jastrzębski, S., Kenton, Z., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., 2019. 19 p.

    Research output: Contribution to conferencePaper

  57. RKappa: Software for Analyzing Rule-Based Models

    Sorokin, A., Sorokina, O. & Douglas Armstrong, J., 2019, Modeling Biomolecular Site Dynamics: Methods and Protocols. Hlavacek, W. S. (ed.). New York, NY: Springer New York LLC, p. 363-390 28 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  58. Tree-Based Learning of Regulatory Network Topologies and Dynamics with Jump3

    Huynh-Thu, V. A. & Sanguinetti, G., 2019, Gene Regulatory Networks: Methods and Protocols. Sanguinetti, G. & Huynh-Thu, V. A. (eds.). New York, NY: Springer New York LLC, p. 217-233 17 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  59. Using BRIE to Detect and Analyze Splicing Isoforms in scRNA-Seq Data

    Huang, Y. & Sanguinetti, G., 2019, Computational Methods for Single-Cell Data Analysis. Yuan, G-C. (ed.). New York, NY: Springer New York LLC, p. 175-185 11 p. (Methods in Molecular Biology; vol. 1935).

    Research output: Chapter in Book/Report/Conference proceedingChapter

  60. 2018
  61. Context Embedding Networks

    Kim, K. H., Mac Aodha, O. & Perona, P., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8679-8687 9 p.

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

  62. Teaching Categories to Human Learners with Visual Explanations

    Mac Aodha, O., Su, S., Chen, Y., Perona, P. & Yue, Y., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 3820-3828 9 p.

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

  63. The iNaturalist Species Classification and Detection Dataset

    Van Horn, G., Mac Aodha, O., Song, Y., Cui, Y., Sun, C., Shepard, A., Adam, H., Perona, P. & Belongie, S., 17 Dec 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers (IEEE), p. 8769-8778 10 p.

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

  64. Characterising Across-Stack Optimisations for Deep Convolutional Neural Networks

    Turner, J., Cano Reyes, J., Radu, V., Crowley, E., O'Boyle, M. & Storkey, A., 13 Dec 2018, Proceedings of the - Workload Characterization (IISWC), 2018 IEEE International Symposium on. Raleigh, North Carolina, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 101-110 10 p.

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

  65. The SHEILA framework: informing institutional strategies and policy processes of learning analytics

    Tsai, Y-S., Moreno-Marcos, P. M., Jivet, I., Scheffel, M., Tammets, K., Kollom, K. & Gasevic, D., 11 Dec 2018, In : Journal of Learning Analytics. 5, 3, p. 5-20 16 p.

    Research output: Contribution to journalArticle

  66. Understanding the Role of Adaptivity in Machine Teaching: The Case of Version Space Learners

    Chen, Y., Singla, A., Mac Aodha, O., Perona, P. & Yue, Y., 8 Dec 2018, Advances in Neural Information Processing Systems 31. Bengio, S., Wallach, H., Larochelle, H., Grauman, K., Cesa-Bianchi, N. & Garnett, R. (eds.). Neural Information Processing Systems, Vol. 31. p. 1476-1486 11 p.

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

  67. Non-parametric Physiological Classification of Retinal Ganglion Cells in the Mouse Retina

    Jouty, J., Hilgen, G., Sernagor, E. & Hennig, M. H., 7 Dec 2018, In : Frontiers in Cellular Neuroscience. 12, 14 p., 481.

    Research output: Contribution to journalArticle

  68. SHEILA: Supporting Higher Education to Intergrate Learning Analytics Research Report

    Tsai, Y-S., Gasevic, D., Whitelock-Wainwright, A., Muñoz-Merino, P. J., Moreno-Marcos, P. M., Rubio Fernández, A., Delgado Kloos, C., Scheffel, M., Jivet, I., Drachsler, H., Tammets, K., Calleja, A. R., Kollom, K., Haywood, J., Cantero, N., Gourdin, A., Kelo, M. & Benke-Åberg, R., 30 Nov 2018, Edinburgh, UK: The University of Edinburgh. 44 p.

    Research output: Book/ReportOther report

  69. Mirror Neurons, Prediction and Hemispheric Coordination; The Prioritizing of Intersubjectivity over 'Intrasubjectivity'

    Shillcock, R., Thomas, J. & Bailes, R., 24 Nov 2018, In : Axiomathes. p. 1-15 15 p.

    Research output: Contribution to journalArticle

  70. Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting

    Bekasovs, A. & Murray, I., 16 Nov 2018, (Accepted/In press) p. 1-6. 6 p.

    Research output: Contribution to conferencePaper

  71. Gaussian process modeling in approximate Bayesian computation to estimate horizontal gene transfer in bacteria

    Järvenpää, M., Gutmann, M., Vehtari, A. & Marttinen, P., 13 Nov 2018, In : Annals of Applied Statistics. 12, 4, p. 2228-2251 24 p.

    Research output: Contribution to journalArticle

  72. Co-Designing a Device for Behaviour-Based Energy Reduction in a Large Organisation

    Morgan, E., Webb, L., Carter, K. & Goddard, N., 1 Nov 2018, In : Proceedings of the ACM on Human-Computer Interaction. 2, CSCW, 23 p., 125.

    Research output: Contribution to journalArticle

  73. Device modeling of MgO-barrier tunneling magnetoresistors for hybrid spintronic-CMOS

    Zuo, S., Nazarpour, K. & Heidari, H., 1 Nov 2018, In : IEEE Electron Device Letters. 39, 11, p. 1784 - 1787 4 p.

    Research output: Contribution to journalArticle

  74. Abstract Decoding using Bayesian Muscle Activation Estimators

    Dyson, M. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2112-2115 4 p.

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

  75. CMOS Magnetic Sensors for Wearable Magnetomyography

    Heidari, H., Zuo, S., Krasoulis, A. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2116-2119 4 p.

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

  76. Continuous Versus Discrete Simultaneous Control of Prosthetic Fingers

    Krasoulis, A., Vijayakumar, S. & Nazarpour, K., 29 Oct 2018, Proceedings of the 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Honolulu, HI, USA: Institute of Electrical and Electronics Engineers (IEEE), p. 3774-3777 4 p.

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

  77. Data Driven Spatial Filtering Can Enhance Abstract Myoelectric Control in Amputees

    Dyson, M. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 3770-3773 4 p.

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

  78. Evaluation of Time-Domain Features of Sensory ENG Signals

    Silveira, C., Brunton, E., Khushaba, R. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2438-2441 4 p.

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

  79. Positioning the Nerve Cuff Distally on the Sciatic Nerve Improves the Classification of Ankle-Movement Proprioceptive ENG Signals

    Silveira, C., Brunton, E., Spendiff, S. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2430-2433 4 p.

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

  80. Preliminary Study of Time to Recovery of Rat Sciatic Nerve from High Frequency Alternating Current Nerve Block

    Rapeaux, A., Brunton, E., Nazarpour, K. & Constandinou, T. G., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2671-2674 4 p.

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

  81. Recovery of the Response of Sensory Fibers to the Second of a Pair of Peripheral Nerve Stimuli

    Brunton, E., Silveira, C., Riddell, J. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 1214-1217 4 p.

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

  82. Spatio-Temporal Inertial Measurements Feature Extraction Improves Hand Movement Pattern Recognition without Electromyography

    Khushaba, R. N., Krasoulis, A., Al-Jumaily, A. & Nazarpour, K., 29 Oct 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Institute of Electrical and Electronics Engineers (IEEE), p. 2108-2111 4 p.

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

  83. Geppetto: a reusable modular open platform for exploring neuroscience data and models

    Cantarelli, M., Marin, B., Quintana, A., Earnshaw, M., Court, R., Gleeson, P., Dura-bernal, S., Silver, R. A. & Idili, G., 19 Oct 2018, In : Philosophical Transactions of the Royal Society B: Biological Sciences. 373, 1758, p. 1-13 13 p.

    Research output: Contribution to journalArticle

  84. 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

  85. Is there a burden attached to synaesthesia? Health screening of synaesthetes in the general population

    Carmichael, D., Smees, R., Shillcock, R. C. & Simner, J., 3 Oct 2018, In : British Journal of Psychology. p. 1-19 19 p.

    Research output: Contribution to journalArticle

  86. Myoelectric control with abstract decoders

    Dyson, M., Barnes, J. & Nazarpour, K., 1 Oct 2018, In : Journal of Neural Engineering. 15, 5, 15 p., 056003.

    Research output: Contribution to journalArticle

  87. Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio

    Jastrzębski, S., Kenton, Z., Arpit, D., Ballas, N., Fischer, A., Bengio, Y. & Storkey, A., Oct 2018, Proceedings of 27th International Conference on Artificial Neural Networks. Rhodes, Greece: Springer, Cham, p. 392-402 10 p. (Lecture Notes in Computer Science; vol. 11141)(Theoretical Computer Science and General Issues; vol. 11141).

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

  88. Augmenting Image Classifiers Using Data Augmentation Generative Adversarial Networks

    Antoniou, A., Storkey, A. & Edwards, H., 27 Sep 2018, Artificial Neural Networks and Machine Learning – ICANN 2018. Rhodes, Greece, p. 594-603 10 p. (Lecture Notes in Computer Science; vol. 11141).

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

  89. 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

  90. Mixed-species RNA-seq for elucidating non-cell-autonomous control of gene transcription

    Qiu, J., Dando, O., Baxter, P., Hasel, P., Heron, S., Simpson, T. & Hardingham, G., 24 Sep 2018, In : Nature Protocols. 26 p.

    Research output: Contribution to journalArticle

  91. Efficient acquisition rules for model-based approximate Bayesian computation

    Järvenpää, M., Gutmann, M., Pleska, A., Vehtari, A. & Marttinen, P., 18 Sep 2018, In : Bayesian analysis. 28 p.

    Research output: Contribution to journalArticle

  92. Major Depression Impairs the Use of Reward Values for Decision-Making

    Rupprechter, S., Stankevicius, A., Huys, Q. J. M., Steele, J. D. & Series, P., 14 Sep 2018, In : Scientific Reports. 9 p., 13798 (2018) .

    Research output: Contribution to journalArticle

  93. It's all Relative: Monocular 3D Human Pose Estimation from Weakly Supervised Data

    Ruggero Ronchi, M., Mac Aodha, O., Eng, R. & Perona, P., 2 Sep 2018, p. 1-13. 13 p.

    Research output: Contribution to conferencePaper

  94. Near-Optimal Machine Teaching via Explanatory Teaching Sets

    Chen, Y., Mac Aodha, O., Su, S., Perona, P. & Yue, Y., 1 Sep 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. Storkey, A. & Perez-Cruz, F. (eds.). Playa Blanca, Lanzarote, Canary Islands: PMLR, Vol. 84. p. 1970-1978 9 p. (Proceedings of Machine Learning Research).

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

  95. Development of the ASHRAE Global Thermal Comfort Database II

    Földváry, V., Cheung, T., Zhang, H., de Dear, R., Parkinson, T., Arens, E., Chun, C., Schiavon, S., Luo, M., Brager, G., Li, P., Kaam, S., Adebamowo, M. A., Andamon, M. M., Babich, F., Bouden, C., Bukovianska, H., Candido, C., Cao, B., Carlucci, S. & 44 others, Cheong, D. K. W., Choi, J-H., Cook, M., Cropper, P., Deuble, M., Heidari, S., Indraganti, M., Jin, Q., Kim, H., Kim, J., Konis, K., Singh, M. K., Kwok, A., Lamberts, R., Loveday, D., Langevin, J., Manu, S., Moosmann, C., Nicol, F., Ooka, R., Oseland, N. A., Pagliano, L., Petráš, D., Rawal, R., Romero, R., Sekhar, C., Schweiker, M., Tartarini, F., Tanabe, S., Tham, K. W., Teli, D., Toftum, J., Toledo, L., Tsuzuki, K., De Vecchi, R., Wagner, A., Wang, Z., Wallbaum, H., Webb, L., Yang, L., Zhu, Y., Zhai, Y., Zhang, Y. & Zhou, X., Sep 2018, In : Building and Environment. 142, p. 502-512 11 p.

    Research output: Contribution to journalArticle

  96. Detecting repeated cancer evolution from multi-region tumor sequencing data

    Caravagna, G., Giarratano, Y., Ramazzotti, D., Tomlinson, I., Graham, T. A., Sanguinetti, G. & Sottoriva, A., 31 Aug 2018, In : Nature Methods. 15, 9, p. 707-714 8 p.

    Research output: Contribution to journalArticle

  97. Autoregressive Point-Processes as Latent State-Space Models: a Moment-Closure Approach to Fluctuations and Autocorrelations

    Rule, M. & Sanguinetti, G., 27 Aug 2018, In : Neural Computation. 34 p.

    Research output: Contribution to journalArticle

  98. Flux-dependent graphs for metabolic networks

    Beguerisse-Díaz, M., Bosque, G., Oyarzún, D., Picó, J. & Barahona, M., 14 Aug 2018, In : npj Systems Biology and Applications. 4, 1, 14 p., 32.

    Research output: Contribution to journalArticle

  99. Influence of nerve cuff channel count and implantation site on the separability of afferent ENG

    Silveira, C., Brunton, E., Spendiff, S. & Nazarpour, K., 1 Aug 2018, In : Journal of Neural Engineering. 15, 4, p. 1-12 12 p., 046004 .

    Research output: Contribution to journalArticle

  100. Regional Diversity in the Postsynaptic Proteome of the Mouse Brain

    Roy, M., Sorokina, O., McLean, C., Tapia-González, S., DeFelipe, J., Armstrong, J. D. & Grant, S., 1 Aug 2018, In : Proteomes. 6, 3, 18 p.

    Research output: Contribution to journalArticle

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