Cabessa, J., Masulli, P., Emulation of Finite State Automata with Networks of Synfire Rings, To appear IEEE IJCNN 2017.

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).

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

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.

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.

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.

Masulli, P. (2014), Formal connections in deformation quantization (PhD Thesis, Aarhus University) (full text).

Editorial work

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

Deformation quantization and trivialization of the formal Hitchin connection (Progress report, Aarhus University), 2013.