World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
79
Citations
21920
World Ranking
1686
National Ranking
152

Engineering and Technology

D-Index
70
Citations
19902
World Ranking
1027
National Ranking
31

Overview

Stefano Panzeri is affiliated with the Italian Institute of Technology in Italy and specializes in Neuroscience, with a significant focus on Cognitive Neuroscience, Cellular and Molecular Neuroscience, and aspects of Artificial Intelligence and Electrical and Electronic Engineering. Their research spans multiple domains within neuroscience, emphasizing neural dynamics and brain function.

The scientist's publication record includes work in prominent journals and repositories such as bioRxiv (Cold Spring Harbor Laboratory), eLife, Current Biology, Nature Communications, and arXiv (Cornell University). The volume of publications in these venues demonstrates sustained contributions to the field over time.

Key topics covered in their research include:

  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • EEG and Brain-Computer Interfaces
  • Neuroscience and Neural Engineering
  • Neuroscience and Neuropharmacology Research
  • Photoreceptor and optogenetics research
  • Advanced Memory and Neural Computing

Frequent collaborators in their research activity include Tommaso Fellin, Marco Celotto, Pablo Martínez-Cañada, Cristina Becchio, and Monica Moroni, reflecting active engagement within a research community.

Recent scholarly contributions include the following papers:

  • The structures and functions of correlations in neural population codes, 2022, published in Nature Reviews. Neuroscience
  • Structure and flexibility in cortical representations of odour space, 2020, published in Nature
  • Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women, 2020, published in eLife
  • Testing theory of mind in large language models and humans, 2024, published in Nature Human Behaviour
  • Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception, 2020, published in Science

Best Publications

  • Extracting information from neuronal populations: information theory and decoding approaches.

    Rodrigo Quian Quiroga;Stefano Panzeri;Stefano Panzeri

  • Modelling and analysis of local field potentials for studying the function of cortical circuits

    Gaute T. Einevoll;Christoph Kayser;Nikos K. Logothetis;Stefano Panzeri

  • Speech rhythms and multiplexed oscillatory sensory coding in the human brain.

    Joachim Gross;Nienke Hoogenboom;Gregor Thut;Philippe G. Schyns

  • Sensory neural codes using multiplexed temporal scales

    Stefano Panzeri;Nicolas Brunel;Nicolas Brunel;Nikos K. Logothetis;Nikos K. Logothetis;Christoph Kayser

  • Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns.

    Christoph Kayser;Marcelo A. Montemurro;Nikos K. Logothetis;Nikos K. Logothetis;Stefano Panzeri;Stefano Panzeri

  • The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex

    Stefano Panzeri;Rasmus S. Petersen;Simon R. Schultz;Michael Lebedev

  • Correcting for the Sampling Bias Problem in Spike Train Information Measures

    Stefano Panzeri;Riccardo Senatore;Marcelo A. Montemurro;Rasmus S. Petersen

  • Analytical estimates of limited sampling biases in different information measures.

    Stefano Panzeri;Alessandro Treves

  • Low-frequency local field potentials and spikes in primary visual cortex convey independent visual information.

    Andrei Belitski;Arthur Gretton;Cesare Magri;Yusuke Murayama

  • Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.

    Alberto Mazzoni;Alberto Mazzoni;Henrik Lindén;Henrik Lindén;Hermann Cuntz;Hermann Cuntz;Hermann Cuntz;Anders Lansner

  • The upward bias in measures of information derived from limited data samples

    Alessandro Treves;Stefano Panzeri

  • Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex

    Marcelo A. Montemurro;Malte J. Rasch;Yusuke Murayama;Nikos K. Logothetis;Nikos K. Logothetis

  • Correlations and the encoding of information in the nervous system

    Stefano Panzeri;Simon R. Schultz;Alessandro Treves;Edmund T. Rolls

  • Distinct timescales of population coding across cortex

    Caroline A. Runyan;Eugenio Piasini;Stefano Panzeri;Christopher D. Harvey

  • The threshold for conscious report: Signal loss and response bias in visual and frontal cortex

    Bram van Vugt;Bruno Dagnino;Devavrat Vartak;Houman Safaai;Houman Safaai

  • The Amplitude and Timing of the BOLD Signal Reflects the Relationship between Local Field Potential Power at Different Frequencies

    Cesare Magri;Ulrich Schridde;Yusuke Murayama;Stefano Panzeri

  • Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons

    Alberto Mazzoni;Stefano Panzeri;Nikos K. Logothetis;Nicolas Brunel;Nicolas Brunel

  • Population coding of stimulus location in rat somatosensory cortex.

    Rasmus S. Petersen;Stefano Panzeri;Mathew E. Diamond

  • The Neurophysiology of Backward Visual Masking: Information Analysis

    Edmund T. Rolls;Martin J. Tovée;Stefano Panzeri

  • The structures and functions of correlations in neural population codes

    Unknown

  • A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings

    Cesare Magri;Kevin Whittingstall;Vanessa Singh;Nikos K Logothetis;Nikos K Logothetis

Frequent Co-Authors

Nikos K. Logothetis
Nikos K. Logothetis Chinese Academy of Sciences
Christoph Kayser
Christoph Kayser Bielefeld University
Mathew E. Diamond
Mathew E. Diamond International School for Advanced Studies
Thierry Pozzo
Thierry Pozzo Italian Institute of Technology
Alessandro Treves
Alessandro Treves International School for Advanced Studies
Tommaso Fellin
Tommaso Fellin Italian Institute of Technology
Edmund T. Rolls
Edmund T. Rolls University of Warwick
Nicolas Brunel
Nicolas Brunel Duke University
Philippe G. Schyns
Philippe G. Schyns University of Glasgow
Gaute T. Einevoll
Gaute T. Einevoll Norwegian University of Life Sciences

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