Stefano Panzeri

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Nikos LogothetisVisiting Professor of Neuroscience, Stanford UniversityVerified email at stanford.edu
Christoph KayserCognitive Neuroscience, Bielefeld UniversityVerified email at uni-bielefeld.de
Mathew E. DiamondProfessor of Cognitive Neuroscience, International School for Advanced StudiesVerified email at sissa.it
Marcelo A. MontemurroSchool of Mathematics and Statistics at The Open UniversityVerified email at open.ac.uk
Rasmus PetersenUniversity of ManchesterVerified email at manchester.ac.uk
Alberto MazzoniAssociate Professor in Bioengineering, The BioRobotics Institute, Scuola Superiore Sant'AnnaVerified email at santannapisa.it
Simon R. SchultzImperial College LondonVerified email at imperial.ac.uk
Edmund T RollsOxford Centre for Computational Neuroscience and University of WarwickVerified email at oxcns.org
Alessandro TrevesSISSA, Oxford, Jerusalem, Roma, +Trondheim, AgderVerified email at sissa.it
Houman SafaaiKempner Institute at Harvard UniversityVerified email at harvard.edu
Tommaso FellinIstituto Italiano di TecnologiaVerified email at iit.it
Robin InceUniversity of GlasgowVerified email at glasgow.ac.uk
Ioannis DelisAssociate Professor, School of Biomedical Sciences, University of LeedsVerified email at leeds.ac.uk
Alessandro GozziFunctional Neuroimaging Laboratory, Istituto Italiano di Tecnologia, RoveretoVerified email at iit.it
Philippe G. SchynsProfessor of Cognitive Neuroscience, University of GlasgowVerified email at glasgow.ac.uk
Rodrigo Quian QuirogaUniversity of LeicesterVerified email at vis.caltech.edu
Arno OnkenUniversity of EdinburghVerified email at inf.ed.ac.uk
Nicolas BrunelDuke UniversityVerified email at duke.edu
Christopher HarveyHarvard Medical SchoolVerified email at hms.harvard.edu
Cristina BecchioUniversity Medical Center HamburgVerified email at uke.de

Stefano Panzeri

University Medical Center Hamburg-Eppendorf (UKE), and Istituto Italiano di Tecnologia

Verified email at uke.de - Homepage

Computational Neuroscience Neuroscience Neuroinformatics Neural Coding Systems Neuroscience


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Extracting information from neuronal populations: information theory and decoding approaches R Quian Quiroga, S Panzeri Nature Reviews Neuroscience 10 (3), 173-185, 2009	933	2009
Modelling and analysis of local field potentials for studying the function of cortical circuits GT Einevoll, C Kayser, NK Logothetis, S Panzeri Nature Reviews Neuroscience 14 (11), 770-785, 2013	827	2013
Speech rhythms and multiplexed oscillatory sensory coding in the human brain J Gross, N Hoogenboom, G Thut, P Schyns, S Panzeri, P Belin, S Garrod PLoS biology 11 (12), e1001752, 2013	640	2013
Sensory neural codes using multiplexed temporal scales S Panzeri, N Brunel, NK Logothetis, C Kayser Trends in neurosciences 33 (3), 111-120, 2010	583	2010
Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns C Kayser, MA Montemurro, NK Logothetis, S Panzeri Neuron 61 (4), 597-608, 2009	569	2009
The role of spike timing in the coding of stimulus location in rat somatosensory cortex S Panzeri, RS Petersen, SR Schultz, M Lebedev, ME Diamond Neuron 29 (3), 769-777, 2001	512	2001
Correcting for the sampling bias problem in spike train information measures S Panzeri, R Senatore, MA Montemurro, RS Petersen Journal of neurophysiology 98 (3), 1064-1072, 2007	498	2007
Analytical estimates of limited sampling biases in different information measures S Panzeri, A Treves Network: Computation in neural systems 7 (1), 87, 1996	495	1996
Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information A Belitski, A Gretton, C Magri, Y Murayama, MA Montemurro, ... Journal of Neuroscience 28 (22), 5696-5709, 2008	481	2008
Phase-of-firing coding of natural visual stimuli in primary visual cortex MA Montemurro, MJ Rasch, Y Murayama, NK Logothetis, S Panzeri Current biology 18 (5), 375-380, 2008	424	2008
The upward bias in measures of information derived from limited data samples A Treves, S Panzeri Neural Computation 7 (2), 399-407, 1995	420	1995
Correlations and the encoding of information in the nervous system S Panzeri, SR Schultz, A Treves, ET Rolls Proceedings of the Royal Society of London. Series B: Biological Sciences …, 1999	396	1999
The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies C Magri, U Schridde, Y Murayama, S Panzeri, NK Logothetis Journal of Neuroscience 32 (4), 1395-1407, 2012	379	2012
The threshold for conscious report: Signal loss and response bias in visual and frontal cortex B Van Vugt, B Dagnino, D Vartak, H Safaai, S Panzeri, S Dehaene, ... Science 360 (6388), 537-542, 2018	366	2018
Distinct timescales of population coding across cortex CA Runyan, E Piasini, S Panzeri, CD Harvey Nature 548 (7665), 92-96, 2017	352	2017
Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons A Mazzoni, S Panzeri, NK Logothetis, N Brunel PLoS computational biology 4 (12), e1000239, 2008	312	2008
Population coding of stimulus location in rat somatosensory cortex RS Petersen, S Panzeri, ME Diamond Neuron 32 (3), 503-514, 2001	303	2001
The neurophysiology of backward visual masking: information analysis ET Rolls, MJ Tovée, S Panzeri Journal of cognitive neuroscience 11 (3), 300-311, 1999	278	1999
A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings C Magri, K Whittingstall, V Singh, NK Logothetis, S Panzeri BMC neuroscience 10, 1-24, 2009	253	2009
Neural population coding: combining insights from microscopic and mass signals S Panzeri, JH Macke, J Gross, C Kayser Trends in cognitive sciences 19 (3), 162-172, 2015	250	2015

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