Publications

Peer-reviewed publications

  1. Masulli, P., Villa, A. E. P. Initial topology in hierarchically organized evolvable neural networks determines the emergence of synfire chains. The 7th International Congress on Cognitive Neurodynamics ICCN 2019.
  2. Zibrandtsen, I.,Masulli, P., Jeuris, S.,Andersen, T., Kjaer, T. Biometric Healthcare Research Platform: preliminary results using wearable sensors for multi-modal monitoring in epilepsy, 2nd International Congress on Mobile Health Devices and Seizure Detection in Epilepsy.
  3. Masulli, P., Masulli, F., Rovetta, S., Lintas, A., Villa, A. E. P., Fuzzy Clustering for Exploratory Analysis of EEG Event-Related Potentials, IEEE Transactions on Fuzzy Systems. doi: 10.1109/tfuzz.2019.2910499
  4. Masulli, P., Villa, A. E. P. Weighted Clique Analysis Reveals Hierarchical Neuronal Network Dynamics. Artificial Neural Networks and Machine Learning – ICANN 2017, Lecture Notes in Computer Science (2017) vol. 10613, 317-325, Springer. doi: 10.1007/978-3-319-68600-4_37
  5. Cabessa, J., Masulli, P., Emulation of Finite State Automata with Networks of Synfire Rings. International Joint Conference on Neural Networks (IJCNN), 2017. doi: 10.1109/IJCNN.2017.7966445
  6. Masulli, P., Masulli, F., Rovetta, S., Lintas, A., Villa, A. E. P. Unsupervised Analysis of Event-related Potentials (ERPs) during an emotional Go/NoGo Task. LNAI Lecture Notes in Artificial Intelligence (2017), vol. 10147, Springer. doi: 10.1007/978-3-319-52962-2_13 (pre-print).
  7. Masulli, P., Villa, A. E. P. Dynamics of evolving feed-forward neural networks and their topological invariants. Artificial Neural Networks and Machine Learning – ICANN 2016, Lecture Notes in Computer Science (2016) vol. 9886, 99-106, Springer. doi: 10.1007/978-3-319-44778-0_12
  8. Masulli, P., Villa, A. E. P. The topology of the directed clique complex as a network invariant. SpringerPlus (2016), 5(1), 1-12 doi: 10.1186/s40064-016-2022-y Open Access e-print arXiv:1510.00660.
  9. Andersen, J. E., Masulli, P., & Schaetz, F. Formal connections for families of star products. Communications in Mathematical Physics (2016) 342, 739–768, Springer, doi: 10.1007/s00220-016-2574-2 e-print: arXiv:1410.1641.
  10. Masulli, P., Villa, A. E. P. Algebro-topological invariants in network theory. International Journal of Complex Systems in Science (2015) vol. 5(1) 13-17. Proceedings of Networks 2015, Granada, Spain.
  11. Masulli, P. (2014), Formal connections in deformation quantization (PhD Thesis, Aarhus University) (full text).

Editorial work

  1. Alessandro E.P. Villa, Paolo Masulli, Antonio Javier Pons Rivero (Eds.) Artificial Neural Networks and Machine Learning – ICANN 2016 Volumes 9886-9887 of the series Lecture Notes in Computer Science (Springer Verlag), September 2016. Part 1, Part 2.

Other writing

  1. Deformation quantization and trivialization of the formal Hitchin connection (Progress report, Aarhus University), 2013.
  2. Stable homotopy and the Adams spectral sequence (Master project, University of Copenhagen), 2011.
  3. Equivariant homotopy: KR-theory (Master thesis in Mathematics, University of Copenhagen), 2011.