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. Since 2002, he has been a Faculty member at the University of Manchester, where from 2007 he was promoted to a Readership. He serves 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.

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 set up the the Laboratory of Brain Signals Analysis, which has the purpose to develop techniques to decode the information content of the brain recordings used to drive brain-machine interfaces.

Ince RA, Petersen RS, Swan DC and Panzeri S (2009) Python for information theoretic analysis of neural data. Front. Neuroinform. 3:4. doi:10.3389/neuro.11.004.2009

Quian Quiroga R, Panzeri S (2009) Extracting information from neuronal populations: information theory and decoding approaches. Nature Reviews Neuroscience 10: 173-185

Kayser C, Montemurro MA, Logothetis NK, Panzeri S (2009) Auditory information coding is boosted by nested spike-phase and spike-pattern codes. Neuron 61: 597-608

Petersen RS, Panzeri S, Maravall M (2009) Neural coding and contextual influences in the whisker system. Biological Cybernetics: in press

Mazzoni A, Panzeri S, Logothetis NK, Brunel N (2008) Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. PLOS Comput. Biol. 4: e1000239

Petersen RS, Brambilla M, Bale MR, Alenda A, Panzeri S, Montemurro MA, Maravall M (2008) Diverse and Temporally Precise Kinetic Feature Selectivity in the VPm Thalamic Nucleus. Neuron 60: 890-903

Yin H, Panzeri S, Mehboob Z, Diamond ME (2008) Decoding population neuronal responses by topological clustering. Lecture Notes in Computer Science 5164: 547-556

Panzeri S, Magri C, Carraro L (2008) Sampling bias. Scholarpedia 3: 4258

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

Montemurro MA, Rasch MJ, Murayama Y, Logothetis NK, Panzeri S (2008) Phase-of-firing coding of natural visual stimuli in primary visual cortex. Current Biology 18: 375-380

Panzeri S, Magri C, Logothetis NK (2008) On the use of information theory for the analysis of the relationship between neural and imaging signals. Magnetic Resonance Imaging 26: 1015-1025