Stefano Panzeri

Publication Activity (10 Years)

Years Active: 1995-2023
Publications (10 Years): 40

Top Topics

Biologically Plausible

Receptive Fields

Temporal Evolution

Information Transfer

Top Venues

PLoS Comput. Biol.

Publications

Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri
Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex. Brain Informatics 10 (1) (2023)
Stefano Panzeri, Ella Janotte, Alejandro Pequeño-Zurro, Jacopo Bonato, Chiara Bartolozzi
Constraints on the design of neuromorphic circuits set by the properties of neural population codes. Neuromorph. Comput. Eng. 3 (1) (2023)
Gabriel Matías Lorenz, Pablo Martínez-Cañada, Stefano Panzeri
A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information Coding. BI (2023)
Loren Koçillari, Marco Celotto, Nikolas A. Francis, Shoutik Mukherjee, Behtash Babadi, Patrick O. Kanold, Stefano Panzeri
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. BI (2023)
Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana L. Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri
An information-theoretic quantification of the content of communication between brain regions. NeurIPS (2023)
Veronika Koren, Stefano Panzeri
Biologically plausible solutions for spiking networks with efficient coding. NeurIPS (2022)
Marco Celotto, Stefan Lemke, Stefano Panzeri
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity. Brain Informatics 9 (1) (2022)
Stefano Panzeri, Ella Janotte, Alejandro Pequeño-Zurro, Jacopo Bonato, Chiara Bartolozzi
Constraints on the design of neuromorphic circuits set by the properties of neural population codes. CoRR (2022)
Jacopo Bonato, Sebastiano Curreli, Tommaso Fellin, Stefano Panzeri
Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. BI (2022)
Marco Celotto, Stefan Lemke, Stefano Panzeri
Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity. BI (2022)
Giulia Corniani, Miguel A. Casal, Stefano Panzeri, Hannes P. Saal
Population coding strategies in human tactile afferents. PLoS Comput. Biol. 18 (12) (2022)
Monica Moroni, Marco Brondi, Tommaso Fellin, Stefano Panzeri
SmaRT2P: a software for generating and processing smart line recording trajectories for population two-photon calcium imaging. Brain Informatics 9 (1) (2022)
Pablo Martínez-Cañada, Stefano Panzeri
Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters. BI (2021)
Pablo Martínez-Cañada, Torbjørn V. Ness, Gaute T. Einevoll, Tommaso Fellin, Stefano Panzeri
Computation of the electroencephalogram (EEG) from network models of point neurons. PLoS Comput. Biol. 17 (4) (2021)
Pablo Martínez-Cañada, Shahryar Noei, Stefano Panzeri
Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram Measures. BI (2021)
Pablo Martínez-Cañada, Shahryar Noei, Stefano Panzeri
Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures. Brain Informatics 8 (1) (2021)
Stan L. Pashkovski, Giuliano Iurilli, David Brann, Daniel Chicharro, Kristen Drummey, Kevin Franks, Stefano Panzeri, Sandeep R. Datta
Structure and flexibility in cortical representations of odour space. Nat. 583 (7815) (2020)
Daniel Chicharro, Michel Besserve, Stefano Panzeri
Causal learning with sufficient statistics: an information bottleneck approach. CoRR (2020)
Eugenio Piasini, Stefano Panzeri
Information Theory in Neuroscience. Entropy 21 (1) (2019)
Daniel Chicharro, Stefano Panzeri, Ilya Shpitser
Conditionally-additive-noise Models for Structure Learning. CoRR (2019)
Arno Onken, Jue Xie, Stefano Panzeri, Camillo Padoa-Schioppa
Categorical encoding of decision variables in orbitofrontal cortex. PLoS Comput. Biol. 15 (10) (2019)
Diego Fasoli, Stefano Panzeri
Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder. Entropy 21 (7) (2019)
Giuseppe Pica, Mohammadreza Soltanipour, Stefano Panzeri
Using intersection information to map stimulus information transfer within neural networks. Biosyst. 185 (2019)
Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. ICLR (Poster) (2018)
Daniel Chicharro, Giuseppe Pica, Stefano Panzeri
The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy. Entropy 20 (3) (2018)
Ioannis Delis, Pauline M. Hilt, Thierry Pozzo, Stefano Panzeri, Bastien Berret
Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis. SETN (2018)
Diego Fasoli, Anna Cattani, Stefano Panzeri
Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits. J. Comput. Neurosci. 44 (1) (2018)
Houman Safaai, Arno Onken, Christopher D. Harvey, Stefano Panzeri
Information Estimation Using Non-Parametric Copulas. CoRR (2018)
Manuel Molano-Mazon, Arno Onken, Eugenio Piasini, Stefano Panzeri
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. CoRR (2018)
Diego Fasoli, Anna Cattani, Stefano Panzeri
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model. Neural Comput. 30 (5) (2018)
Emanuele Olivetti, Danilo Benozzo, Jan Bím, Stefano Panzeri, Paolo Avesani
Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. Frontiers Comput. Neurosci. 12 (2018)
Giuseppe Pica, Eugenio Piasini, Houman Safaai, Caroline Runyan, Christopher D. Harvey, Mathew E. Diamond, Christoph Kayser, Tommaso Fellin, Stefano Panzeri
Quantifying how much sensory information in a neural code is relevant for behavior. NIPS (2017)
Giuseppe Pica, Eugenio Piasini, Daniel Chicharro, Stefano Panzeri
Invariant components of synergy, redundancy, and unique information among three variables. CoRR (2017)
Giuseppe Pica, Eugenio Piasini, Houman Safaai, Caroline A. Runyan, Mathew E. Diamond, Tommaso Fellin, Christoph Kayser, Christopher D. Harvey, Stefano Panzeri
Quantifying how much sensory information in a neural code is relevant for behavior. CoRR (2017)
Giuseppe Pica, Eugenio Piasini, Daniel Chicharro, Stefano Panzeri
Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. Entropy 19 (9) (2017)
Daniel Chicharro, Stefano Panzeri
Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss. Entropy 19 (2) (2017)
Arno Onken, Jian K. Liu, P. P. Chamanthi R. Karunasekara, Ioannis Delis, Tim Gollisch, Stefano Panzeri
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. PLoS Comput. Biol. 12 (11) (2016)
Arno Onken, Stefano Panzeri
Mixed vine copulas as joint models of spike counts and local field potentials. NIPS (2016)
Diego Fasoli, Anna Cattani, Stefano Panzeri
The Complexity of Dynamics in Small Neural Circuits. PLoS Comput. Biol. 12 (8) (2016)
Ioannis Delis, Arno Onken, Philippe G. Schyns, Stefano Panzeri, Marios G. Philiastides
Space-by-time decomposition for single-trial decoding of M/EEG activity. NeuroImage 133 (2016)
Himanshu Akolkar, Stefano Panzeri, Chiara Bartolozzi
Spike time based unsupervised learning of receptive fields for event-driven vision. ICRA (2015)
Alberto Mazzoni, Henrik Lindén, Hermann Cuntz, Anders Lansner, Stefano Panzeri, Gaute T. Einevoll
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. 11 (12) (2015)
Himanshu Akolkar, Cedric Meyer, Xavier Clady, Olivier Marre, Chiara Bartolozzi, Stefano Panzeri, Ryad Benosman
What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition? Neural Comput. 27 (3) (2015)
Fabio Boi, Marianna Semprini, Ferdinando A. Mussa-Ivaldi, Stefano Panzeri, Alessandro Vato
A bidirectional brain-machine interface connecting alert rodents to a dynamical system. EMBC (2015)
Daniel Chicharro, Stefano Panzeri
Algorithms of causal inference for the analysis of effective connectivity among brain regions. Frontiers Neuroinformatics 8 (2014)
Enrico Chiovetto, Bastien Berret, Ioannis Delis, Stefano Panzeri, Thierry Pozzo
Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies. Frontiers Comput. Neurosci. 7 (2013)
Ioannis Delis, Bastien Berret, Thierry Pozzo, Stefano Panzeri
Quantitative evaluation of muscle synergy models: a single-trial task decoding approach. Frontiers Comput. Neurosci. 7 (2013)
Cristiano Alessandro, Ioannis Delis, Francesco Nori, Stefano Panzeri, Bastien Berret
Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives. Frontiers Comput. Neurosci. 7 (2013)
Ioannis Delis, Bastien Berret, Thierry Pozzo, Stefano Panzeri
A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information. Frontiers Comput. Neurosci. 7 (2013)
Christoph Kayser, Robin A. A. Ince, Stefano Panzeri
Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices. PLoS Comput. Biol. 8 (10) (2012)
Alessandro Vato, Marianna Semprini, Emma Maggiolini, Francois D. Szymanski, Luciano Fadiga, Stefano Panzeri, Ferdinando A. Mussa-Ivaldi
Shaping the Dynamics of a Bidirectional Neural Interface. PLoS Comput. Biol. 8 (7) (2012)
Francois D. Szymanski, Marianna Semprini, Ferdinando A. Mussa-Ivaldi, Luciano Fadiga, Stefano Panzeri, Alessandro Vato
Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems. EMBC (2011)
Alberto Mazzoni, Kevin Whittingstall, Nicolas Brunel, Nikos K. Logothetis, Stefano Panzeri
Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. NeuroImage 52 (3) (2010)
Robin A. A. Ince, Riccardo Senatore, Ehsan Arabzadeh, Fernando Montani, Mathew E. Diamond, Stefano Panzeri
Information-theoretic methods for studying population codes. Neural Networks 23 (6) (2010)
Andrei Belitski, Stefano Panzeri, Cesare Magri, Nikos K. Logothetis, Christoph Kayser
Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands. J. Comput. Neurosci. 29 (3) (2010)
Michel Besserve, Bernhard Schölkopf, Nikos K. Logothetis, Stefano Panzeri
Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. J. Comput. Neurosci. 29 (3) (2010)
Robin A. A. Ince, Rasmus S. Petersen, Daniel C. Swan, Stefano Panzeri
Python for information theoretic analysis of neural data. Frontiers Neuroinformatics 3 (2009)
Sanjay Kharche, Niklas Lüdtke, Stefano Panzeri, Henggui Zhang
A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach. FIMH (2009)
Rasmus S. Petersen, Stefano Panzeri, Miguel Maravall
Neural coding and contextual influences in the whisker system. Biol. Cybern. 100 (6) (2009)
Hujun Yin, Stefano Panzeri, Zareen Mehboob, Mathew E. Diamond
Decoding Population Neuronal Responses by Topological Clustering. ICANN (2) (2008)
Alberto Mazzoni, Stefano Panzeri, Nikos K. Logothetis, Nicolas Brunel
Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. PLoS Comput. Biol. 4 (12) (2008)
Zareen Mehboob, Stefano Panzeri, Mathew E. Diamond, Hujun Yin
Topological clustering of synchronous spike trains. IJCNN (2008)
Stefano Panzeri, Cesare Magri, Ludovico Carraro
Sampling bias. Scholarpedia 3 (9) (2008)
Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri
Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques. Neural Comput. 19 (11) (2007)
Martin Ayling, Stefano Panzeri, Enrico Bracci
GABAergic excitation in striatal projection neurons: Simulations and experiments. Neurocomputing 70 (10-12) (2007)
Marcelo A. Montemurro, Riccardo Senatore, Stefano Panzeri
A downward biased estimator of spike timing information. Neurocomputing 70 (10-12) (2007)
Marcelo A. Montemurro, Stefano Panzeri
Stimulus specificity of cortico-cortical connections optimizes information transmission. Neurocomputing 69 (10-12) (2006)
Marcelo A. Montemurro, Stefano Panzeri
Optimal Tuning Widths in Population Coding of Periodic Variables. Neural Comput. 18 (7) (2006)
Gianni Pola, Rasmus S. Petersen, Alexander Thiele, Malcolm P. Young, Stefano Panzeri
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population. Neural Comput. 17 (9) (2005)
Marcelo A. Montemurro, Stefano Panzeri
Optimal Information Transmission Through Cortico-Cortical Synapses. ICANN (1) (2005)
Marcelo A. Montemurro, Stefano Panzeri
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity. NIPS (2004)
Angel Nevado, Malcolm P. Young, Stefano Panzeri
Functional imaging and neural information coding. NeuroImage 21 (3) (2004)
Angel Nevado, Malcolm P. Young, Stefano Panzeri
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques. ICANN (2002)
Angel Nevado, Malcolm P. Young, Stefano Panzeri
Functional imaging and neuronal information processing. Neurocomputing (2002)
Stefano Panzeri, Huw D. R. Golledge, F. Zheng, Gianni Pola, T. J. Blanche, Martin J. Tovee, Malcolm P. Young
The role of correlated firing and synchrony in coding information about single and separate objects in cat V1. Neurocomputing (2002)
Péter András, Stefano Panzeri, Malcolm P. Young
Toward statistically valid population decoding models. Neurocomputing (2002)
Stefano Panzeri, Rasmus S. Petersen, Simon R. Schultz, M. A. Lebedev, Mathew E. Diamond
Coding of stimulus location by spike timing in rat somatosensory cortex. Neurocomputing (2002)
Stefano Panzeri, Simon R. Schultz
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding. Neural Comput. 13 (6) (2001)
Simon R. Schultz, Huw D. R. Golledge, Stefano Panzeri
Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Stefano Panzeri, Edmund T. Rolls, Francesco P. Battaglia, Ruth Lavis
Simulation Studies of the Speed of Recurrent Processing. Emergent Neural Computational Architectures Based on Neuroscience (2001)
Filippo Petroni, Stefano Panzeri, Claus C. Hilgetag, Rolf Kötter, Jack W. Scannell, Malcolm P. Young
Hierarchical organization and neuronal response latencies in the primate visual system. Neurocomputing (2001)
Stefano Panzeri, Alessandro Treves, Simon R. Schultz, Edmund T. Rolls
On Decoding the Responses of a Population of Neurons from Short Time Windows. Neural Comput. 11 (7) (1999)
Alessandro Treves, Stefano Panzeri, Edmund T. Rolls, Michael Booth, Edward A. Wakeman
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli. Neural Comput. 11 (3) (1999)
Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
Correlated firing and the information represented by neurons in short epochs. Neurocomputing (1999)
David Golomb, John A. Hertz, Stefano Panzeri, Barry J. Richmond, Alessandro Treves
How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? Neural Comput. 9 (3) (1997)
Edmund T. Rolls, Alessandro Treves, Martin J. Tovee, Stefano Panzeri
Information in the Neuronal Representation of Individual Stimuli in the Primate Temporal Visual Cortex. J. Comput. Neurosci. 4 (4) (1997)
Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
Analogue Resolution in a Model of the Schaffer Collaterals. ICANN (1997)
Alessandro Treves, Stefano Panzeri
The Upward Bias in Measures of Information Derived from Limited Data Samples. Neural Comput. 7 (2) (1995)