Stefano Panzeri

发表

A bidirectional brain-machine interface connecting alert rodents to a dynamical system

Ferdinando A. Mussa-Ivaldi, Fabio Boi, Marianna Semprini, 2015, 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Contributions of local speech encoding and functional connectivity to audio-visual speech perception

Stefano Panzeri, Bruno L Giordano, Robin A A Ince, 2017, eLife.

State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures

Luca Berdondini, Stefano Panzeri, Thierry Nieus, 2018, Scientific Reports.

Stimulus Dependence of Local Field Potential Spectra: Experiment versus Theory

Nicolas Brunel, Nikos K Logothetis, Stefano Panzeri, 2014, The Journal of Neuroscience.

Topological clustering of synchronous spike trains

Stefano Panzeri, Hujun Yin, Mathew E. Diamond, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Correcting for the sampling bias problem in spike train information measures.

Stefano Panzeri, Marcelo A Montemurro, Riccardo Senatore, 2007, Journal of neurophysiology.

A Non-negative Measure Of Feature-specific Information Transfer Between Neural Signals

Stefano Panzeri, Andrea Brovelli, Jan Bím, 2019, bioRxiv.

Information Content of Local Field Potentials: Experiments and Models in Principles of Neural Coding

Stefano Panzeri, Nikos K. Logothetis, Alberto Mazzoni, 2013 .

Optimal Information Transmission Through Cortico-Cortical Synapses

Marcelo A. Montemurro, Stefano Panzeri, 2005, ICANN.

Optimized brute-force algorithms for the bifurcation analysis of a binary neural network model.

Stefano Panzeri, Diego Fasoli, S. Panzeri, 2017, Physical review. E.

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

Anders Lansner, Stefano Panzeri, Alberto Mazzoni, 2015, PLoS Comput. Biol..

Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling.

Nikos K Logothetis, Stefano Panzeri, Niklas Lüdtke, 2010, Magnetic resonance imaging.

Estimating Information-Theoretic Quantities

Stefano Panzeri, Simon R. Schultz, Robin A. A. Ince, 2015, Encyclopedia of Computational Neuroscience.

Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands

Stefano Panzeri, Nikos K. Logothetis, Christoph Kayser, 2010, Journal of Computational Neuroscience.

What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition?

Chiara Bartolozzi, Ryad Benosman, Stefano Panzeri, 2015, Neural Computation.

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Stefano Panzeri, Shy Shoham, Dmitry Rinberg, 2020, Science.

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains

Stefano Panzeri, Jian K. Liu, Arno Onken, 2016, PLoS Comput. Biol..

Phase-of-firing code

Stefano Panzeri, Gaute T. Einevoll, Anna Cattani, 2015 .

Author response: Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

Stefano Panzeri, Houman Safaai, Walter Vanzella, 2017 .

Causal learning with sufficient statistics: an information bottleneck approach pdf

Daniel Chicharro, Stefano Panzeri, Michel Besserve, 2020, ArXiv.

Erratum to: Population Coding

Stefano Panzeri, Rasmus S. Petersen, Cesare Magri, 2010 .

Author's Personal Copy Understanding the Relationships between Spike Rate and Delta/gamma Frequency Bands of Lfps and Eegs Using a Local Cortical Network Model

Nicolas Brunel, Stefano Panzeri, Alberto Mazzoni, 2022 .

Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization

Stefano Panzeri, Arno Onken, Tim Gollisch, 2017, Nature Communications.

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model

Stefano Panzeri, Paolo Avesani, Emanuele Olivetti, 2018, Front. Comput. Neurosci..

Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population

Stefano Panzeri, Rasmus S. Petersen, Malcolm P. Young, 2005, Neural Computation.

Does the information in the phase of low frequency LFP reflect the low frequency envelope of local spike rates?

Nikos K Logothetis, Stefano Panzeri, Christoph Kayser, 2011, BMC Neuroscience.

Functional imaging and neural information coding

Stefano Panzeri, Malcolm P. Young, Angel Nevado, 2004, NeuroImage.

Information-theoretic sensitivity analysis: a general method for credit assignment in complex networks

Martin Brown, Stefano Panzeri, Niklas Lüdtke, 2007, Journal of The Royal Society Interface.

wavelets and information theory Extracting information in spike time patterns with

Stefano Panzeri, Christoph Kayser, Mathew E. Diamond, 2015 .

Decoding Population Neuronal Responses by Topological Clustering

Stefano Panzeri, Hujun Yin, Mathew E. Diamond, 2008, ICANN.

Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables pdf

Daniel Chicharro, Stefano Panzeri, Eugenio Piasini, 2017, Entropy.

A time/frequency decomposition of information transmission by LFPs and spikes in the primary visual cortex

Arthur Gretton, Stefano Panzeri, Yusuke Murayama, 2007 .

Information Theory in Neuroscience

Stefano Panzeri, Eugenio Piasini, S. Panzeri, 2019, Entropy.

Sensory coding and information transmission

Stefano Panzeri, John Hertz, 2002 .

Summary of Information Theoretic Quantities

Stefano Panzeri, Simon R. Schultz, Robin A. A. Ince, 2014, Encyclopedia of Computational Neuroscience.

GABAergic excitation in striatal projection neurons: Simulations and experiments

Stefano Panzeri, Martin Ayling, Enrico Bracci, 2007, Neurocomputing.

An evaluation of principal components analysis as a method for quantifying spike timing information

Stefano Panzeri, Filippo Petroni, Gianni Pola, 2001 .

Neural coding and contextual influences in the whisker system

Stefano Panzeri, Rasmus S. Petersen, Miguel Maravall, 2009, Biological Cybernetics.

Shaping the Dynamics of a Bidirectional Neural Interface

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2012, PLoS Comput. Biol..

Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4

Stefano Panzeri, Alexander Thiele, Daniel Chicharro, 2018, Nature Communications.

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception

Stefano Panzeri, Shy Shoham, Christine D. Wilson, 2019, Science.

during monaural and dichotic listening Neural coding of continuous speech in auditory cortex

Stefano Panzeri, Christoph Kayser, Houman Safaai, 2012 .

Bifurcation Analysis of a Sparse Neural Network with Cubic Topology

Stefano Panzeri, Diego Fasoli, Anna Cattani, 2017 .

The CARMEN e-Science pilot project: Neuroinformatics work packages

Thomas Jackson, Stefano Panzeri, Miles A. Whittington, 2007 .

Measuring Information from Neuronal Activity

Stefano Panzeri, Alessandro Treves, David Golomb, 1996 .

The role of correlated firing and synchrony in coding information about single and separate objects in cat V1

Stefano Panzeri, Malcolm P. Young, Gianni Pola, 2002, Neurocomputing.

Decoding spiking activity in V4, but not V1, correlates with behavioural performance in perceptual learning task

Stefano Panzeri, Alexander Thiele, Mark CW van Rossum, 2013, BMC Neuroscience.

Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits

Stefano Panzeri, Diego Fasoli, Anna Cattani, 2017, Journal of Computational Neuroscience.

Information in the Neuronal Representation of Individual Stimuli in the Primate Temporal Visual Cortex

Stefano Panzeri, Edmund T. Rolls, Alessandro Treves, 1997, Journal of Computational Neuroscience.

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis

Bernhard Schölkopf, Stefano Panzeri, Nikos K. Logothetis, 2010, Journal of Computational Neuroscience.

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

Nicolas Brunel, Stefano Panzeri, Alberto Mazzoni, 2008, PLoS Comput. Biol..

Coding of stimulus location by spike timing in rat somatosensory cortex

Stefano Panzeri, Simon R. Schultz, Mathew E. Diamond, 2002, Neurocomputing.

A Novel Approach to the Analysis of Multiplexed Neural Codes

Stefano Panzeri, Houman Safaai, Arno Onken, 2016 .

A computational proof of concept for how slow rhythms could serve as internal reference frames for decoding firing patterns in sensory cortices

Stefano Panzeri, Christoph Kayser, Nikos K. Logothetis, 2011 .

A critical assessment of different measures of the information carried by correlated neuronal firing.

Stefano Panzeri, Filippo Petroni, Rasmus S Petersen, 2002, Bio Systems.

Information-theoretic methods for studying population codes

Stefano Panzeri, Ehsan Arabzadeh, Mathew E. Diamond, 2010, Neural Networks.

Optimized brute-force algorithms for the bifurcation analysis of a spin-glass-like neural network model

Stefano Panzeri, Diego Fasoli, 2017 .

Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks

Stefano Panzeri, Alberto Mazzoni, Stefano Cavallari, 2014, Front. Neural Circuits.

Information-Theoretic Approaches to Pattern Analysis

Stefano Panzeri, Raa Ince, 2012 .

Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder

Stefano Panzeri, Diego Fasoli, S. Panzeri, 2018, Entropy.

Spike time based unsupervised learning of receptive fields for event-driven vision

Chiara Bartolozzi, Stefano Panzeri, Himanshu Akolkar, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information

Arthur Gretton, Nikos K Logothetis, Stefano Panzeri, 2008, The Journal of Neuroscience.

Stimulus-dependent relationships between behavioral choice and sensory neural responses

Stefano Panzeri, Ralf M. Haefner, Daniel Chicharro, 2019, bioRxiv.

Open Source Tools for the Information Theoretic Analysis of Neural Data

Stefano Panzeri, Alberto Mazzoni, Rasmus S. Petersen, 2009, Frontiers in neuroscience.

The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy

Daniel Chicharro, Stefano Panzeri, Giuseppe Pica, 2017, Entropy.

Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli

Stefano Panzeri, Edmund T. Rolls, Alessandro Treves, 1999, Neural Computation.

A unifying model of concurrent spatial and temporal modularity in muscle activity.

Stefano Panzeri, Bastien Berret, Ioannis Delis, 2014, Journal of neurophysiology.

The Upward Bias in Measures of Information Derived from Limited Data Samples

Stefano Panzeri, Alessandro Treves, A. Treves, 1995, Neural Computation.

Oscillatory brain states govern spontaneous fMRI network dynamics

Alessandro Gozzi, Stefano Panzeri, Daniel Gutierrez-Barragan, 2018, bioRxiv.

A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach

Henggui Zhang, Stefano Panzeri, Niklas Lüdtke, 2009, FIMH.

Mixed vine copulas as joint models of spike counts and local field potentials

Stefano Panzeri, Arno Onken, S. Panzeri, 2016, NIPS.

Structure and flexibility in cortical representations of odour space

Stefano Panzeri, Daniel Chicharro, Sandeep Robert Datta, 2020, Nature.

Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives

Stefano Panzeri, Francesco Nori, Bastien Berret, 2013, Front. Comput. Neurosci..

Tracking the dynamic representation of a complex visual scene using Bubbles

Stefano Panzeri, Philippe G. Schyns, Robin A. A. Ince, 2014 .

A Formalism for Evaluating Analytically the Cross-Correlation Structure of a Firing-Rate Network Model

Olivier Faugeras, Stefano Panzeri, Diego Fasoli, 2015, The Journal of Mathematical Neuroscience (JMN).

Space-by-Time Tensor Decomposition for Single-Trial Analysis of Neural Signals

Stefano Panzeri, Arno Onken, Ioannis Delis, 2017 .

How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?

Stefano Panzeri, Barry J. Richmond, David Golomb, 1997, Neural Computation.

Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity

Marcelo A. Montemurro, Stefano Panzeri, S. Panzeri, 2004, NIPS.

An Information Theoretical Approach to investigate stimulus-driven responses between pairs of neurons

Luciano Fadiga, Stefano Panzeri, Andriy Oliynyk, 2012 .

A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information

Stefano Panzeri, Bastien Berret, Ioannis Delis, 2013, Front. Comput. Neurosci..

Quantifying how much sensory information in a neural code is relevant for behavior

Stefano Panzeri, Christoph Kayser, Houman Safaai, 2017, NIPS.

Spike timing in rat somatosensory cortex contributes to behavior

Stefano Panzeri, Alberto Mazzoni, Mathew E Diamond, 2013, BMC Neuroscience.

Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model

Stefano Panzeri, Diego Fasoli, Anna Cattani, 2018, Neural Computation.

Theoretical and In Silico Approaches

Stefano Panzeri, Rodrigo Quian Quiroga, 2013 .

Decoding and Information Theory in Neuroscience

Stefano Panzeri, Rodrigo Quian Quiroga, R. Quiroga, 2013 .

Categorical encoding of decision variables in orbitofrontal cortex

Stefano Panzeri, Arno Onken, Jue Xie, 2019, PLoS computational biology.

State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats

Fabio Boi, Stefano Panzeri, Alessandro Vato, 2017, Front. Neurosci..

Structure and flexibility in cortical representations of odor space

Stefano Panzeri, Sandeep Robert Datta, David H. Brann, 2020, Nature.

Speed of feedforward and recurrent processing in multilayer networks of integrate-and-fire neurons

Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, 2001 .

Conditionally-additive-noise Models for Structure Learning pdf

Daniel Chicharro, Stefano Panzeri, Ilya Shpitser, 2019, ArXiv.

Cortical dynamics during naturalistic sensory stimulations: Experiments and models

Nicolas Brunel, Stefano Panzeri, Alberto Mazzoni, 2011, Journal of Physiology-Paris.

Python for Information Theoretic Analysis of Neural Data

Stefano Panzeri, Rasmus S. Petersen, Robin A. A. Ince, 2009, Frontiers Neuroinformatics.

Extracting information in spike time patterns with wavelets and information theory.

Stefano Panzeri, Christoph Kayser, Rodrigo Quian Quiroga, 2015, Journal of neurophysiology.

Stefano Panzeri, Edmund T. Rolls, Simon R. Schultz, 1999, Neurocomputing.

Computation of the electroencephalogram (EEG) from network models of point neurons

Pablo Martínez-Cañada, Stefano Panzeri, Gaute T. Einevoll, 2020, bioRxiv.

Local field potential phase and spike timing convey information about different visual features in primary visual cortex

Nikos K Logothetis, Stefano Panzeri, Christoph Kayser, 2011, BMC Neuroscience.

Summary of Information Theoretic Quantities

Stefano Panzeri, Schultz, Raa Ince, 2015 .

Analogue Resolution in a Model of the Schaffer Collaterals

Stefano Panzeri, Edmund T. Rolls, Simon R. Schultz, 1997, ICANN.

Contributions of local speech encoding and functional connectivity to audio-visual speech integration

Stefano Panzeri, Joachim Gross, Christoph Kayser, 2016, bioRxiv.

Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis

Stefano Panzeri, Bastien Berret, Pauline M. Hilt, 2018, SETN.

Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss

Daniel Chicharro, Stefano Panzeri, S. Panzeri, 2016, Entropy.

Faculty Opinions recommendation of Methods for predicting cortical UP and DOWN states from the phase of deep layer local field potentials.

Stefano Panzeri, Alberto Mazzoni, 2010 .

Do high order cross-correlations among neurons convey useful information?

Stefano Panzeri, Riccardo Senatore, 2007, BMC Neuroscience.

Sampling bias

Stefano Panzeri, Cesare Magri, Ludovico Carraro, 2008, Scholarpedia.

Functional imaging and neuronal information processing

Stefano Panzeri, Malcolm P. Young, Angel Nevado, 2002, Neurocomputing.

Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices

Stefano Panzeri, Christoph Kayser, Robin A. A. Ince, 2012, PLoS Comput. Biol..

Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques

Marcelo A. Montemurro, Stefano Panzeri, Riccardo Senatore, 2007, Neural Computation.

Algorithms of causal inference for the analysis of effective connectivity among brain regions

Daniel Chicharro, Stefano Panzeri, S. Panzeri, 2014, Front. Neuroinform..

Reading spike timing without a clock: intrinsic decoding of spike trains

Stefano Panzeri, Christoph Kayser, Mathew E. Diamond, 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

Quantitative evaluation of muscle synergy models: a single-trial task decoding approach

Stefano Panzeri, Bastien Berret, Ioannis Delis, 2013, Front. Comput. Neurosci..

Stimulus specificity of cortico-cortical connections optimizes information transmission

Marcelo A. Montemurro, Stefano Panzeri, S. Panzeri, 2006, Neurocomputing.

Hierarchical flow of sensory information in rat somatosensory cortex

Stefano Panzeri, Houman Safaai, Miguel Maravall, 2014, BMC Neuroscience.

somatosensory pathway direction of whisker deflection in the subcortical Comparison of latency and rate coding for the

Stefano Panzeri, Christoph Kayser, Mathew E. Diamond, 2015 .

The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres

Guillaume A. Rousselet, Stefano Panzeri, Joachim Gross, 2016 .

Tracing the Flow of Perceptual Features in an Algorithmic Brain Network

Guillaume A. Rousselet, Stefano Panzeri, Joachim Gross, 2015, Scientific Reports.

Analytical estimates of limited sampling biases in different information measures.

Stefano Panzeri, Alessandro Treves, A. Treves, 1996, Network.

Information Carried by Population Spike Times in the Whisker Sensory Cortex can be Decoded Without Knowledge of Stimulus Time

Stefano Panzeri, Mathew E. Diamond, M. Diamond, 2010, Front. Syn. Neurosci..

A Quantitative Model of Information Processing in CA1

Stefano Panzeri, Edmund T. Rolls, Alessandro Treves, 2000, Information Theory and the Brain.

On Decoding the Responses of a Population of Neurons from Short Time Windows

Stefano Panzeri, Edmund T. Rolls, Simon R. Schultz, 1999, Neural Computation.

The Complexity of Dynamics in Small Neural Circuits

Stefano Panzeri, Diego Fasoli, Anna Cattani, 2015, PLoS Comput. Biol..

Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans

Marianna Semprini, Stefano Panzeri, Valentina Squeri, 2017, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques

Stefano Panzeri, Malcolm P. Young, Angel Nevado, 2002, ICANN.

New Perspectives on the Dialogue between Brains and Machines

Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Marianna Semprini, 2009, Front. Neurosci..

The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex

Stefano Panzeri, Robin A A Ince, Ehsan Arabzadeh, 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks pdf

Stefano Panzeri, Arno Onken, Eugenio Piasini, 2018, ICLR.

Exploring structure-function relationships in neocortical networks by means of neuromodelling techniques.

Stefano Panzeri, Filippo Petroni, Enrico Bracci, 2004, Medical engineering & physics.

Task-discriminative space-by-time factorization of muscle activity

Stefano Panzeri, Bastien Berret, Ioannis Delis, 2015, Front. Hum. Neurosci..

Space-by-time decomposition for single-trial decoding of M/EEG activity

Stefano Panzeri, Philippe G. Schyns, Arno Onken, 2016, NeuroImage.

THE ROLE OF CORRELATED FIRING IN CODING INFORMATION ABOUT SINGLE AND SEPARATE OBJECTS IN CAT V1

Stefano Panzeri, G. Pola, Huw D. R. Golledge, 2001 .

Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns

Marcelo A. Montemurro, Stefano Panzeri, Christoph Kayser, 2009, Neuron.

Toward statistically valid population decoding models

Stefano Panzeri, Péter András, Malcolm P. Young, 2002, Neurocomputing.

A practical guide to information analysis of spike trains

Stefano Panzeri, Simon R. Schultz, Rasmus S. Petersen, 2003 .

Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies

Stefano Panzeri, Bastien Berret, Ioannis Delis, 2013, Front. Comput. Neurosci..

Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex

Stefano Panzeri, Houman Safaai, Davide Zoccolan, 2017, eLife.

Applications of Information Theory to Analysis of Neural Data

Stefano Panzeri, Simon R. Schultz, Robin A. A. Ince, 2015, Encyclopedia of Computational Neuroscience.

Simulation Studies of the Speed of Recurrent Processing

Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, 2001, Emergent Neural Computational Architectures Based on Neuroscience.

Deciphering the functional role of spatial and temporal muscle synergies in whole-body movements

Stefano Panzeri, Ioannis Delis, Thierry Pozzo, 2018, Scientific Reports.

A Unified Approach to the Study of Temporal, Correlational, and Rate Coding

Stefano Panzeri, Simon R. Schultz, S. Panzeri, 1999, Neural Computation.

Information Estimation Using Non-Parametric Copulas

Stefano Panzeri, Houman Safaai, Arno Onken, 2018, Physical review. E.

Local Field Potential, Relationship to BOLD Signal

Stefano Panzeri, Nikos K. Logothetis, Nikos K. Logothetis, 2014, Encyclopedia of Computational Neuroscience.

Author response: Contributions of local speech encoding and functional connectivity to audio-visual speech perception

Stefano Panzeri, Joachim Gross, Christoph Kayser, 2017 .

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

Nikos K Logothetis, Stefano Panzeri, Cesare Magri, 2009, BMC Neuroscience.

Optimal Tuning Widths in Population Coding of Periodic Variables

Marcelo A. Montemurro, Stefano Panzeri, S. Panzeri, 2006, Neural Computation.

Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission

Stefano Panzeri, Simon R. Schultz, Huw D. R. Golledge, 2000, Emergent Neural Computational Architectures Based on Neuroscience.

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

Stefano Panzeri, Christoph Kayser, Gaute T. Einevoll, 2013, Nature Reviews Neuroscience.

Mathematical studies of the dynamics of finite-size binary neural networks: A review of recent progress.

Stefano Panzeri, Diego Fasoli, S. Panzeri, 2019, Mathematical biosciences and engineering : MBE.

A downward biased estimator of spike timing information

Marcelo A. Montemurro, Stefano Panzeri, Riccardo Senatore, 2007, Neurocomputing.

Sensory neural codes using multiplexed temporal scales

Nicolas Brunel, Stefano Panzeri, Christoph Kayser, 2010, Trends in Neurosciences.

Using intersection information to map stimulus information transfer within neural networks

Stefano Panzeri, Giuseppe Pica, Mohammadreza Soltanipour, 2019, Biosyst..

Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters

Pablo Martínez-Cañada, Stefano Panzeri, S. Panzeri, 2021, BI.

Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures

Pablo Martínez-Cañada, Stefano Panzeri, Shahryar Noei, 2021, BI.

The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres

Guillaume A. Rousselet, Stefano Panzeri, Joachim Gross, 2016, bioRxiv.

From Local Chaos to Critical Slowing Down: A Theory of the Functional Connectivity of Small Neural Circuits

Stefano Panzeri, Diego Fasoli, Anna Cattani, 2016, 1605.07383.

Carbon nanotube composite coating of neural microelectrodes preferentially improves the multiunit signal-to-noise ratio

Luciano Fadiga, Gian Nicola Angotzi, Stefano Panzeri, 2011, Journal of neural engineering.

Dopamine Is Signaled by Mid-frequency Oscillations and Boosts Output Layers Visual Information in Visual Cortex

Stefano Panzeri, Nikos K. Logothetis, Jozien Goense, 2018, Current Biology.

Homozygous loss of autism-risk gene CNTNAP2 results in reduced local and long-range prefrontal functional connectivity

Alessandro Gozzi, Stefano Panzeri, Massimo Pasqualetti, 2016, bioRxiv.

Space-by-time manifold representation of dynamic facial expressions for emotion categorization

Stefano Panzeri, Philippe G. Schyns, Chaona Chen, 2016, Journal of vision.

Learning to focus on number

Stefano Panzeri, Stanislas Dehaene, Manuela Piazza, 2018, Cognition.

Cholinergic Control of Information Coding

Stefano Panzeri, Alexander Thiele, Jochem van Kempen, 2017, Trends in Neurosciences.

The Laminar and Temporal Structure of Stimulus Information in the Phase of Field Potentials of Auditory Cortex

Stefano Panzeri, Cesare Magri, Francois D Szymanski, 2011, The Journal of Neuroscience.

Homozygous loss of autism-risk gene CNTNAP2 results in reduced local and long-range prefrontal functional connectivity

Alessandro Gozzi, Stefano Panzeri, Massimo Pasqualetti, 2016 .

Implications of the Dependence of Neuronal Activity on Neural Network States for the Design of Brain-Machine Interfaces

Stefano Panzeri, Alessandro Vato, Houman Safaai, 2016, Front. Neurosci..

Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer

Bernhard Schölkopf, Stefano Panzeri, Nikos K. Logothetis, 2015, PLoS biology.

A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features

Andreas Bartels, Stefano Panzeri, Nikos K. Logothetis, 2012, Journal of Neuroscience Methods.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2

Minoru Asada, Anders M. Dale, Anna Devor, 2017, BMC Neuroscience.

The dynamics of local field potential in monkey primary visual cortex under naturalistic stimulation is well captured by a model network of excitatory and inhibitory integrate-and-fire neurons

Nicolas Brunel, Stefano Panzeri, F Barbieri, 2011 .

Visual Enhancement of the Information Representation in Auditory Cortex

Stefano Panzeri, Christoph Kayser, Nikos K. Logothetis, 2010, Current Biology.

Coding of Sensory Signals by Neuronal Populations: The Role of Correlated Activity

Stefano Panzeri, Rasmus S Petersen, Gianni Pola, 2003, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

Natural Translating Locomotion Modulates Cortical Activity at Action Observation

Stefano Panzeri, Alberto Inuggi, Claudio Campus, 2017, Front. Syst. Neurosci..

Information Content of Local Field Potentials

Stefano Panzeri, Nikos K. Logothetis, Alberto Mazzoni, 2013 .

Optimal band separation of extracellular field potentials

Stefano Panzeri, Nikos K. Logothetis, Alberto Mazzoni, 2012, Journal of Neuroscience Methods.

Sensory Input Drives Multiple Intracellular Information Streams in Somatosensory Cortex

Stefano Panzeri, Miguel Maravall, Manuel Molano-Mazón, 2010, The Journal of Neuroscience.

Objective assessment of the functional role of spike train correlations using information measures

Stefano Panzeri, Martin J. Tovée, Malcolm P. Young, 2001 .

Visual influences on information representations in auditory cortex

Stefano Panzeri, Christoph Kayser, Nikos K. Logothetis, 2010 .

The information content of Local Field Potentials: experiments and models

Stefano Panzeri, Nikos K. Logothetis, Alberto Mazzoni, 2012, 1206.0560.

Cholinergic Modulation Promotes Attentional Modulation in Primary Visual Cortex- A Modeling Study

Mohammad Bagher Menhaj, Stefano Panzeri, Hossein Esteky, 2019, Scientific Reports.

Biophysics of Extracellular Spikes

Stefano Panzeri, Rodrigo Quian Quiroga, R. Quiroga, 2013 .

Attention Induced Gain Stabilization in Broad and Narrow-Spiking Cells in the Frontal Eye-Field of Macaque Monkeys

Daniel Chicharro, Stefano Panzeri, Alexander Thiele, 2016, The Journal of Neuroscience.

Distinct timescales of population coding across cortex

Stefano Panzeri, Christopher D. Harvey, Caroline A. Runyan, 2017, Nature.

The Locus Coeruleus Is a Complex and Differentiated Neuromodulatory System

Stefano Panzeri, Oxana Eschenko, Ricardo M. Neves, 2018, Neuron.