Journals and Proceedings
Deciphering the astrocytic contribution to learning and relearning.L. Squadrani, C. Wert-Carvajal, D. Mueller-Komorowska, K. Bohmbach, C. Henneberger, P. Verzelli, T. Tchumatchenko.
Preprint (2024).
Editorial overview: Computational neuroscience as a bridge between artificial intelligence, modeling and data.
P. Verzelli, T. Tchumatchenko, J. Kotaleski.
Current Opinion in Neurobiology (2024).
DOI
Unbiased choice of global clustering parameters for single-molecule localization microscopy.
P. Verzelli, A. Nolds, C. Sun, M. Heilemann, E. Schuman , T. Tchumatchenko.
Scientific Reports (2022).
DOI
Learn to Synchronize, Synchronize to Learn.
P. Verzelli, C. Alippi, L. Livi.
Chaos: An Interdisciplinary Journal of Nonlinear Science (2021).
DOI
Input-to-State Representation in Linear Reservoirs Dynamics.
P. Verzelli, C. Alippi, L. Livi, P. Tino.
IEEE Transactions on Neural Networks and Learning Systems (TNNLS) (2021).
DOI
Echo State Networks with Self-Normalizing Activations on the Hyper-Sphere.
P. Verzelli, C. Alippi, L. Livi.
Scientific Reports (2019).
DOI
Hyper-spherical Reservoirs for Echo State Networks.
P. Verzelli, C. Alippi, L. Livi.
International Conference on Artificial Neural Networks (ICANN) (2019).
DOI
A study of Dependency Features of Spike Trains Through Copulas.
P. Verzelli, L. Sacerdote.
Biosystems (2019).
DOI
A characterization of the Edge of Criticality in Binary Echo State Networks.
P. Verzelli, L. Livi, C. Alippi.
International Workshop on Machine Learning for Signal Processing (MLSP) (2018).
DOI
![](https://verzep.github.io//images/ICANN_talk.jpg)
Conference Talks
Emergent AI Conference (2023)Talk: Beyond Invasive Monitoring: A Machine Learning Framework for Video-Driven Seizure Forecasting
Emergent AI Retreat (2022)
Talk: Everything is a Computer (if You are Brave Enough)
International Joint Conference on Neural Networks (IJCNN) (2021)
Talk: On the Role of Synchronization in Reservoir Computing
Dynamics Internal Seminar (University of Exeter) (2020)
Talk: Learning Dynamical Systems Using Dynamical Systems
Symposium on Machine Learning and Dynamical Systems (2020)
Talk: Learn to Synchronize, Synchronize to Learn: Measuring the Echo State Property
International Conference on Artificial Neural Networks (ICANN) (2019)
Talk: Hyper-spherical Reservoirs for Echo State Networks
Workshop on Dynamical Systems and Brain-inspired Information Processing (2019)
Talk: Echo State Networks with Self-Normalizing Activations on the Hyper-sphere
Machine Learning for Signal Processing (MLSP) (2018)
Talk: A characterization of the edge of criticality in binary echo state networks
Neural Coding (2018)
Talk: A study of dependency features of spike trains through copula