Stefano Panzeri

According to our database1, Stefano Panzeri authored at least 71 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2019
Information Theory in Neuroscience.
Entropy, 2019

Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder.
Entropy, 2019

Conditionally-additive-noise Models for Structure Learning.
CoRR, 2019

2018
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model.
Neural Computation, 2018

Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits.
Journal of Computational Neuroscience, 2018

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model.
Front. Comput. Neurosci., 2018

The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy.
Entropy, 2018

Information Estimation Using Non-Parametric Copulas.
CoRR, 2018

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks.
CoRR, 2018

Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Synthesizing realistic neural population activity patterns using Generative Adversarial Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables.
Entropy, 2017

Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss.
Entropy, 2017

Quantifying how much sensory information in a neural code is relevant for behavior.
CoRR, 2017

Invariant components of synergy, redundancy, and unique information among three variables.
CoRR, 2017

Quantifying how much sensory information in a neural code is relevant for behavior.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains.
PLoS Computational Biology, 2016

The Complexity of Dynamics in Small Neural Circuits.
PLoS Computational Biology, 2016

Space-by-time decomposition for single-trial decoding of M/EEG activity.
NeuroImage, 2016

Mixed vine copulas as joint models of spike counts and local field potentials.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models.
PLoS Computational Biology, 2015

What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition?
Neural Computation, 2015

Spike time based unsupervised learning of receptive fields for event-driven vision.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

A bidirectional brain-machine interface connecting alert rodents to a dynamical system.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Applications of Information Theory to Analysis of Neural Data.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Local Field Potential, Relationship to BOLD Signal.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Estimating Information-Theoretic Quantities.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Summary of Information Theoretic Quantities.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Algorithms of causal inference for the analysis of effective connectivity among brain regions.
Front. Neuroinform., 2014

2013
A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information.
Front. Comput. Neurosci., 2013

Quantitative evaluation of muscle synergy models: a single-trial task decoding approach.
Front. Comput. Neurosci., 2013

Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies.
Front. Comput. Neurosci., 2013

Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives.
Front. Comput. Neurosci., 2013

2012
Shaping the Dynamics of a Bidirectional Neural Interface.
PLoS Computational Biology, 2012

Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices.
PLoS Computational Biology, 2012

2011
Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2010
Information-theoretic methods for studying population codes.
Neural Networks, 2010

Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model.
NeuroImage, 2010

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis.
Journal of Computational Neuroscience, 2010

Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands.
Journal of Computational Neuroscience, 2010

2009
Python for information theoretic analysis of neural data.
Front. Neuroinform., 2009

Neural coding and contextual influences in the whisker system.
Biological Cybernetics, 2009

A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach.
Proceedings of the Functional Imaging and Modeling of the Heart, 2009

2008
Sampling bias.
Scholarpedia, 2008

Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons.
PLoS Computational Biology, 2008

Topological clustering of synchronous spike trains.
Proceedings of the International Joint Conference on Neural Networks, 2008

Decoding Population Neuronal Responses by Topological Clustering.
Proceedings of the Artificial Neural Networks, 2008

2007
Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques.
Neural Computation, 2007

A downward biased estimator of spike timing information.
Neurocomputing, 2007

GABAergic excitation in striatal projection neurons: Simulations and experiments.
Neurocomputing, 2007

2006
Optimal Tuning Widths in Population Coding of Periodic Variables.
Neural Computation, 2006

Stimulus specificity of cortico-cortical connections optimizes information transmission.
Neurocomputing, 2006

2005
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population.
Neural Computation, 2005

Optimal Information Transmission Through Cortico-Cortical Synapses.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2004
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

2002
Coding of stimulus location by spike timing in rat somatosensory cortex.
Neurocomputing, 2002

The role of correlated firing and synchrony in coding information about single and separate objects in cat V1.
Neurocomputing, 2002

Functional imaging and neuronal information processing.
Neurocomputing, 2002

Toward statistically valid population decoding models.
Neurocomputing, 2002

Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques.
Proceedings of the Artificial Neural Networks, 2002

2001
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding.
Neural Computation, 2001

Hierarchical organization and neuronal response latencies in the primate visual system.
Neurocomputing, 2001

Synchronisation, Binding, and the Role of Correlated Firing in Fast Information Transmission.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

Simulation Studies of the Speed of Recurrent Processing.
Proceedings of the Emergent Neural Computational Architectures Based on Neuroscience, 2001

1999
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli.
Neural Computation, 1999

On Decoding the Responses of a Population of Neurons from Short Time Windows.
Neural Computation, 1999

Correlated firing and the information represented by neurons in short epochs.
Neurocomputing, 1999

1997
How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples?
Neural Computation, 1997

Information in the Neuronal Representation of Individual Stimuli in the Primate Temporal Visual Cortex.
Journal of Computational Neuroscience, 1997

Analogue Resolution in a Model of the Schaffer Collaterals.
Proceedings of the Artificial Neural Networks, 1997

1995
The Upward Bias in Measures of Information Derived from Limited Data Samples.
Neural Computation, 1995


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