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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.
J-F Patri, A. Cavallo, K. Pullar, M. Soriano, M. Valente, A. Koul, A. Avenanti, S. Panzeri*, C. Becchio* (2020) Transient disruption of the inferior parietal lobule impairs the ability to attribute intention to action. Current Biology 30: 4594-4605. * Senior and corresponding authors, equal contribution
S. Pashkovski, G. Iurilli, D. Brann, D. Chicharro, K. Drummey, .K. Franks, S. Panzeri, S.R. Datta (2020). Structure and flexibility in cortical representations of odour space. Nature: 583: 253-258 doi: https://doi.org/10.1038/s41586-020-2451-1
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.
Runyan C. A., Piasini E., Panzeri S*., Harvey C. D*. (2017) Distinct timescales of population coding across cortex, Nature: 548: 92-96 * = co-corresponding author
Giordano B. L., Ince R. A. A., Gross J., Schyns P. G., Panzeri S., Kayser C. (2017) Contributions of local speech encoding and functional connectivity to audio-visual speech perception, eLIFE, vol. 6, pp. e24763
S. Tafazoli, H. Safaai, G. De Franceschi, FB Rosselli, W Vanzella, M Riggi, F Buffolo, S Panzeri and D Zoccolan (2017) Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex. eLIFE 6: e22794
Onken A., Panzeri S. (2016) Mixed vine copulas as joint models of spike counts and local field potentials. Advances in Neural Information Processing Systems 29 (NIPS 2016) 1325–1333
D Fasoli, A. Cattani, S. Panzeri (2016) The complexity of dynamics in small neural circuits. PLoS Computational Biology, 12(8): e1004992.
Besserve M, Lowe S, Logothetis NK, Scholkopf B, Panzeri S (2015) Shifts of gamma phase across primary visual cortical sites reflect dynamic stimulus- modulated information transfer. PLoS Biology 13(9): e1002257
S. Panzeri, J.H. Macke, J. Gross, C. Kayser (2015) Neural population coding: combining insights from microscopic and mass signals, Trends in Cognitive Sciences 19: 162-172
Einevoll, Kayser C., Logothetis N. K., Panzeri S. (2013) Modelling and analysis of local field potentials for studying the function of cortical circuits, Nature Reviews Neuroscience, vol. 14, pp. 770-785
Kayser C, Ince RAA, Panzeri S (2012). Analysis of slow (theta) oscillations as a potential temporal reference frame for information coding in sensory cortices. PLoS Computational Biology 8 (10), e1002717
Mazzoni A, Whittingstall K, Brunel N, Logothetis NK, Panzeri S (2010) Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. Neuroimage 52: 956–972
Quian Quiroga R, Panzeri S (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Reviews Neuroscience 10: 173-185
Belitski A, Gretton A, Magri C, Murayama Y, Montemurro MA, Logothetis NK, Panzeri S (2008) Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information. J Neurosci 28: 5696-5709
Panzeri S, Petersen R, Schultz SR, Lebedev M, Diamond ME (2001) The role of spike timing in the coding of stimulus location in rat somatosensory cortex. Neuron 29: 769-777