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  1. M. Lenninger, M. Skoglund, P. Herman & A. Kumar. Are single-peaked tuning curves tuned for speed rather than accuracy? Nature Communications (in review).
  2. M. Lundqvist, S.L. Brincat, M.R. Warden, T.J. Buschman, E.K. Miller & P. Herman. Working memory control dynamics follow principles of spatial computing. Nature Communications (in review).
  3. M. Molinari, J. Anund Vogel, D. Rolando. Using Living Labs to tackle innovation bottlenecks: the KTH Live-In Lab case study,Applied energy(Extension under review).
  4. N. Chrysanthidis, F. Fiebig, A. Lansner & P. Herman. “Traces of semantization-from episodic to semantic memory in a spiking cortical network model”, eNeuro, July 2022, 9 (4).
  5. Fontan, V. Cvetkovic, K. H. Johansson. On behavioral changes towards sustainability for connected individuals: a dynamic decision-making approach, in 4th IFAC Workshop on Cyber-Physical Human Systems, Houston, Texas, December 1-2, 2022.
  6. Taras Kucherenko, Rajmund Nagy, Michael Neff, Hedvig Kjellström, and Gustav Eje Henter. Multimodal analysis of the predictability of hand-gesture properties. In
    International Conference on Autonomous Agents and Multi-Agent Systems, 2022.
  7. M. Lundqvist, J. Rose, S.L. Brincat, M.R. Warden, T.J. Buschman, P. Herman, & E.K. Miller. “Reduced variability of bursting activity during working memory.” Scientific Reports 12, no. 1 (2022): 1-10.
  8. N.B. Ravichandran, A. Lansner & P. Herman. “Brain-like combination of feedforward and recurrent network components achieves prototype extraction and robust pattern recognition”. In: Machine Learning, Optimization, and Data Science. LOD 2022. Lecture Notes in Computer Science, Springer, Cham
  9. D. Rolando, W. Mazzotti, M. Molinari. Long-Term Evaluation of Comfort, Indoor Air Quality and Energy Performance in Buildings: The Case of the KTH Live-In Lab Testbeds, Energies, vol. 15, no. 14, pp. 4955, 2022.
  10. N. Chrysanthidis, F. Fiebig, A. Lansner & P. Herman. “Semantization of episodic memory in a spiking cortical attractor network model”, Journal of Computational Neuroscience, vol. 49, no. SUPPL 1, pp. S86–S87, 2021.
  11. A. Karvonen, V. Cvetkovic, P. Herman, K.H. Johansson, H. Kjellström, M. Molinari & M. Skoglund. “The ‘New Urban Science’: towards the interdisciplinary and transdisciplinary pursuit of sustainable transformations.” Urban Transformations 3, no. 1 (2021): 1-13.
  12. M. Molinari, J. Anund Vogel, D. Rolando. Using Living Labs to tackle innovation bottlenecks: the KTH Live-In Lab case study, in Energy Proceedings – Applied Energy Symposium: MIT A+B, 2021.
  13. N.B. Ravichandran, A. Lansner & P. Herman. “Semi-supervised learning with Bayesian Confidence Propagation Neural Network”, in Proc. European Symposium on Artificial Neural Networks (ESANN) 2021.
  14. Ruibo Tu, Kun Zhang, Hedvig Kjellström, and Cheng Zhang. Optimal transport for causal discovery. In International Conference on Learning Representations, 2022.
  15. Carles Balsells Rodas, Ruibo Tu, and Hedvig Kjellström. Causal discovery from conditionally stationary time-series, arXiv:2110.06257, 2021.
  16. M. Lenninger, M. Skoglund, P. Herman and A. Kumar. Bandwidth expansion in the brain: Optimal encoding manifolds for population coding. In Cosyne, 2021.
  17. S. Molavipour, G. Bassi, and M. Skoglund. On neural estimators for conditional mutual information using nearest neighbors sampling. IEEE Transactions on Signal Processing 69:766-780, 2021.
  18. M. Sorkhei, G. Eje Henter, and H. Kjellström. Full-Glow: Fully conditional Glow for more realistic image generation. In DAGM German Conference on Pattern Recognition, 2021.
  19. Chenda Zhang and Hedvig Kjellström. A subjective model of human decision making
    based on Quantum Decision Theory, arXiv:2101.05851, 2021.
  20. M. Molinari and D. Rolando. Digital twin of the Live-In Lab Testbed KTH: Development and calibration. In Buildsim Nordic, 2020.
  21. D. Rolando and M. Molinari. Development of a comfort platform for user feedback: The experience of the KTH Live-In Lab. In International Conference on Applied Energy, 2020.
  22. E. Stefansson, F. J. Jiang, E. Nekouei, H. Nilsson, and K. H. Johansson. Modeling the decision-making in human driver overtaking. In IFAC World Congress, 2020.
  23. Y. Yi, L. Shan, P. E. Paré, and K. H. Johansson. Edge deletion algorithms for minimizing spread in SIR epidemic models. arXiv preprint arXiv:2011.11087, 2020.