Stefano Panzeri received a Laurea in Physics from the University of Torino, and a PhD in Computational Neuroscience from SISSA, Trieste, Italy.
He has held personal Research Fellowship awards in both theoretical physics and computational neuroscience, including an INFN junior Fellowship in Theoretical Physics at Turin University, an EU Marie Curie postdoctoral Fellowship at the University of Oxford, and an MRC Research Fellowship in Neuroinformatics at the University of Newcastle. He has held tenured Faculty positions as assistant, associate and full professor at the Universities of Manchester and Glasgow. He has been visiting scientist at the Max Planck Institute for Biological Cybernetics and at Harvard Medical School. He served as Deputy Chair of the UK Medical Research Council panel for fellowships in Bioinformatics and Neuroinformatics; as a member of the UK EPSRC Review College, and as an editor of the journal Frontiers in Systems Neuroscience and of Journal of Neuroscience methods.
His research lies at the interface between theory and experiment and aims at understanding the principles of cortical information processing by developing new quantitative data analysis techniques based on the principles of Information Theory and by developing computational models of neural network function. At IIT, he works as Senior Scientist (with Tenure) and directs the Laboratory of Neural Computation. He also currently serves as Coordinator of the Center for Neuroscience and Cognitive Systems of the IIT in Rovereto.
Zaldivar, D., Goense, J., Lowe, S.C., Logothetis, N.K., and Panzeri, S. (2018) Dopamine Is Signaled by Mid-frequency Oscillations and Boosts Output Layers Visual Information in Visual Cortex. Current Biology 28: 224-235, https://doi.org/10.1016/j.cub.2017.12.006.
Pica, G., Piasini, E., Safaai, H., Runyan, C.A., Diamond, M.E., Fellin, T., Kayser, C., Harvey, C.D., and Panzeri, S. (2017) Quantifying how much sensory information in a neural code is relevant for behavior. Neural Information Processing Systems (NIPS 2017) ,in press.
Onken A, Liu JK, Karunasekara PPCR, Delis I, Gollisch T, Panzeri S (2016) Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. PLoS Comput Biol 12(11): e1005189.
D Fasoli, A. Cattani, S. Panzeri (2016) The complexity of dynamics in small neural circuits. PLoS Computational Biology, 12(8): e1004992.