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Stefano Panzeri
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2020 – today
- 2024
- [i8]James W. A. Strachan, Oriana Pansardi, Eugenio Scaliti, Marco Celotto, Krati Saxena, Chunzhi Yi, Fabio Manzi, Alessandro Rufo, Guido Manzi, Michael S. A. Graziano, Stefano Panzeri, Cristina Becchio:
GPT-4o reads the mind in the eyes. CoRR abs/2410.22309 (2024) - 2023
- [j57]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): 34 (2023) - [j56]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): 12001 (2023) - [c24]Gabriel Matías Lorenz
A Model of the Contribution of Interneuron Diversity to Recurrent Network Oscillation Generation and Information Coding. BI 2023: 33-44 - [c23]Loren Koçillari
Measuring Stimulus-Related Redundant and Synergistic Functional Connectivity with Single Cell Resolution in Auditory Cortex. BI 2023: 45-56 - [c22]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 - 2022
- [j55]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): 18 (2022) - [j54]Marco Celotto, Stefan Lemke, Stefano Panzeri:
Inferring the temporal evolution of synaptic weights from dynamic functional connectivity. Brain Informatics 9(1): 28 (2022) - [j53]Giulia Corniani
Population coding strategies in human tactile afferents. PLoS Comput. Biol. 18(12): 1010763 (2022) - [c21]Marco Celotto
Estimating the Temporal Evolution of Synaptic Weights from Dynamic Functional Connectivity. BI 2022: 3-14 - [c20]Jacopo Bonato
Optimizing Measures of Information Encoding in Astrocytic Calcium Signals. BI 2022: 117-128 - [c19]Veronika Koren, Stefano Panzeri:
Biologically plausible solutions for spiking networks with efficient coding. NeurIPS 2022 - [i7]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 abs/2212.04317 (2022) - 2021
- [j52]Pablo Martínez-Cañada
Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures. Brain Informatics 8(1): 27 (2021) - [j51]Pablo Martínez-Cañada
Computation of the electroencephalogram (EEG) from network models of point neurons. PLoS Comput. Biol. 17(4) (2021) - [c18]Pablo Martínez-Cañada
Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram Measures. BI 2021: 3-12 - [c17]Pablo Martínez-Cañada
Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters. BI 2021: 115-123 - 2020
- [j50]Stan L. Pashkovski, Giuliano Iurilli
Structure and flexibility in cortical representations of odour space. Nat. 583(7815): 253-258 (2020) - [i6]Daniel Chicharro
Causal learning with sufficient statistics: an information bottleneck approach. CoRR abs/2010.05375 (2020)
2010 – 2019
- 2019
- [j49]Giuseppe Pica, Mohammadreza Soltanipour
Using intersection information to map stimulus information transfer within neural networks. Biosyst. 185 (2019) - [j48]Eugenio Piasini
Information Theory in Neuroscience. Entropy 21(1): 62 (2019) - [j47]Diego Fasoli
Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder. Entropy 21(7): 630 (2019) - [j46]Arno Onken
Categorical encoding of decision variables in orbitofrontal cortex. PLoS Comput. Biol. 15(10) (2019) - [i5]Daniel Chicharro
Conditionally-additive-noise Models for Structure Learning. CoRR abs/1905.08360 (2019) - 2018
- [j45]Daniel Chicharro
The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy. Entropy 20(3): 169 (2018) - [j44]Emanuele Olivetti
Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model. Frontiers Comput. Neurosci. 12: 38 (2018) - [j43]Diego Fasoli
Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits. J. Comput. Neurosci. 44(1): 25-43 (2018) - [j42]Diego Fasoli
Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model. Neural Comput. 30(5) (2018) - [c16]Manuel Molano-Mazon, Arno Onken, Eugenio Piasini
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. ICLR (Poster) 2018 - [c15]Ioannis Delis, Pauline M. Hilt
Characterization of whole-body muscle activity during reaching movements using space-by-time modularity and functional similarity analysis. SETN 2018: 44:1-44:7 - [i4]Manuel Molano-Mazon, Arno Onken
Synthesizing realistic neural population activity patterns using Generative Adversarial Networks. CoRR abs/1803.00338 (2018) - [i3]Houman Safaai, Arno Onken, Christopher D. Harvey, Stefano Panzeri:
Information Estimation Using Non-Parametric Copulas. CoRR abs/1807.08018 (2018) - 2017
- [j41]Daniel Chicharro
Synergy and Redundancy in Dual Decompositions of Mutual Information Gain and Information Loss. Entropy 19(2): 71 (2017) - [j40]Giuseppe Pica
Invariant Components of Synergy, Redundancy, and Unique Information among Three Variables. Entropy 19(9): 451 (2017) - [c14]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: 3686-3696 - [i2]Giuseppe Pica, Eugenio Piasini, Daniel Chicharro, Stefano Panzeri:
Invariant components of synergy, redundancy, and unique information among three variables. CoRR abs/1706.08921 (2017) - [i1]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 abs/1712.02449 (2017) - 2016
- [j39]Ioannis Delis
Space-by-time decomposition for single-trial decoding of M/EEG activity. NeuroImage 133: 504-515 (2016) - [j38]Diego Fasoli
The Complexity of Dynamics in Small Neural Circuits. PLoS Comput. Biol. 12(8) (2016) - [j37]Arno Onken
Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains. PLoS Comput. Biol. 12(11) (2016) - [c13]Arno Onken, Stefano Panzeri:
Mixed vine copulas as joint models of spike counts and local field potentials. NIPS 2016: 1325-1333 - 2015
- [j36]Himanshu Akolkar, Cedric Meyer, Xavier Clady, Olivier Marre
What Can Neuromorphic Event-Driven Precise Timing Add to Spike-Based Pattern Recognition? Neural Comput. 27(3): 561-593 (2015) - [j35]Alberto Mazzoni
Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models. PLoS Comput. Biol. 11(12) (2015) - [c12]Fabio Boi, Marianna Semprini
A bidirectional brain-machine interface connecting alert rodents to a dynamical system. EMBC 2015: 51-54 - [c11]Himanshu Akolkar, Stefano Panzeri
Spike time based unsupervised learning of receptive fields for event-driven vision. ICRA 2015: 4258-4264 - 2014
- [j34]Daniel Chicharro
Algorithms of causal inference for the analysis of effective connectivity among brain regions. Frontiers Neuroinformatics 8: 64 (2014) - [r4]Robin A. A. Ince, Stefano Panzeri, Simon R. Schultz:
Summary of Information Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r3]Robin A. A. Ince, Simon R. Schultz, Stefano Panzeri:
Estimating Information-Theoretic Quantities. Encyclopedia of Computational Neuroscience 2014 - [r2]Nikos K. Logothetis, Stefano Panzeri:
Local Field Potential, Relationship to BOLD Signal. Encyclopedia of Computational Neuroscience 2014 - [r1]Simon R. Schultz, Robin A. A. Ince, Stefano Panzeri:
Applications of Information Theory to Analysis of Neural Data. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j33]Ioannis Delis
Quantitative evaluation of muscle synergy models: a single-trial task decoding approach. Frontiers Comput. Neurosci. 7: 8 (2013) - [j32]Enrico Chiovetto, Bastien Berret
Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies. Frontiers Comput. Neurosci. 7: 11 (2013) - [j31]Cristiano Alessandro
Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives. Frontiers Comput. Neurosci. 7: 43 (2013) - [j30]Ioannis Delis
A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information. Frontiers Comput. Neurosci. 7: 54 (2013) - 2012
- [j29]Alessandro Vato
Shaping the Dynamics of a Bidirectional Neural Interface. PLoS Comput. Biol. 8(7) (2012) - [j28]Christoph Kayser
Analysis of Slow (Theta) Oscillations as a Potential Temporal Reference Frame for Information Coding in Sensory Cortices. PLoS Comput. Biol. 8(10) (2012) - 2011
- [c10]Francois D. Szymanski, Marianna Semprini
Dynamic brain-machine interface: A novel paradigm for bidirectional interaction between brains and dynamical systems. EMBC 2011: 4592-4595 - 2010
- [j27]Andrei Belitski, Stefano Panzeri
Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands. J. Comput. Neurosci. 29(3): 533-545 (2010) - [j26]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): 547-566 (2010) - [j25]Alberto Mazzoni
Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. NeuroImage 52(3): 956-972 (2010) - [j24]Robin A. A. Ince, Riccardo Senatore, Ehsan Arabzadeh
Information-theoretic methods for studying population codes. Neural Networks 23(6): 713-727 (2010)
2000 – 2009
- 2009
- [j23]Rasmus S. Petersen
Neural coding and contextual influences in the whisker system. Biol. Cybern. 100(6): 427-446 (2009) - [j22]Robin A. A. Ince, Rasmus S. Petersen
Python for information theoretic analysis of neural data. Frontiers Neuroinformatics 3: 4 (2009) - [c9]Sanjay Kharche
A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach. FIMH 2009: 366-375 - 2008
- [j21]Alberto Mazzoni
Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. PLoS Comput. Biol. 4(12) (2008) - [j20]Stefano Panzeri, Cesare Magri, Ludovico Carraro:
Sampling bias. Scholarpedia 3(9): 4258 (2008) - [c8]Hujun Yin
Decoding Population Neuronal Responses by Topological Clustering. ICANN (2) 2008: 547-556 - [c7]Zareen Mehboob, Stefano Panzeri
Topological clustering of synchronous spike trains. IJCNN 2008: 3889-3894 - 2007
- [j19]Marcelo A. Montemurro
A downward biased estimator of spike timing information. Neurocomputing 70(10-12): 1777-1781 (2007) - [j18]Martin Ayling, Stefano Panzeri
GABAergic excitation in striatal projection neurons: Simulations and experiments. Neurocomputing 70(10-12): 1870-1876 (2007) - [j17]Marcelo A. Montemurro
Tight Data-Robust Bounds to Mutual Information Combining Shuffling and Model Selection Techniques. Neural Comput. 19(11): 2913-2957 (2007) - 2006
- [j16]Marcelo A. Montemurro
Stimulus specificity of cortico-cortical connections optimizes information transmission. Neurocomputing 69(10-12): 1203-1205 (2006) - [j15]Marcelo A. Montemurro
Optimal Tuning Widths in Population Coding of Periodic Variables. Neural Comput. 18(7): 1555-1576 (2006) - 2005
- [j14]Gianni Pola, Rasmus S. Petersen
Data-Robust Tight Lower Bounds to the Information Carried by Spike Times of a Neuronal Population. Neural Comput. 17(9): 1962-2005 (2005) - [c6]Marcelo A. Montemurro
Optimal Information Transmission Through Cortico-Cortical Synapses. ICANN (1) 2005: 39-44 - 2004
- [j13]Angel Nevado
Functional imaging and neural information coding. NeuroImage 21(3): 1083-1095 (2004) - [c5]Marcelo A. Montemurro, Stefano Panzeri:
Optimal Information Decoding from Neuronal Populations with Specific Stimulus Selectivity. NIPS 2004: 937-944 - 2002
- [j12]Péter András
Toward statistically valid population decoding models. Neurocomputing 44-46: 269-274 (2002) - [j11]Stefano Panzeri
Coding of stimulus location by spike timing in rat somatosensory cortex. Neurocomputing 44-46: 573-578 (2002) - [j10]Stefano Panzeri
The role of correlated firing and synchrony in coding information about single and separate objects in cat V1. Neurocomputing 44-46: 579-584 (2002) - [j9]Angel Nevado
Functional imaging and neuronal information processing. Neurocomputing 44-46: 1127-1131 (2002) - [c4]Angel Nevado, Malcolm P. Young, Stefano Panzeri:
Comparing the Information Encoded by Different Brain Areas with Functional Imaging Techniques. ICANN 2002: 105-110 - 2001
- [j8]Filippo Petroni
Hierarchical organization and neuronal response latencies in the primate visual system. Neurocomputing 38-40: 1519-1523 (2001) - [j7]Stefano Panzeri
A Unified Approach to the Study of Temporal, Correlational, and Rate Coding. Neural Comput. 13(6): 1311-1349 (2001) - [c3]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: 212-226 - [c2]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: 320-332 - 2000
- [p2]Simon R. Schultz, Stefano Panzeri, Edmund T. Rolls, Alessandro Treves:
Quantitative Analysis of a Schaffer Collateral Model. Information Theory and the Brain 2000: 257-272 - [p1]Carlo Fulvi Mari, Stefano Panzeri, Edmund T. Rolls, Alessandro Treves:
A Quantitative Model of Information Processing in CA1. Information Theory and the Brain 2000: 273-289
1990 – 1999
- 1999
- [j6]Simon R. Schultz, Stefano Panzeri
Correlated firing and the information represented by neurons in short epochs. Neurocomputing 26-27: 499-504 (1999) - [j5]Alessandro Treves
Firing Rate Distributions and Efficiency of Information Transmission of Inferior Temporal Cortex Neurons to Natural Visual Stimuli. Neural Comput. 11(3): 601-631 (1999) - [j4]Stefano Panzeri, Alessandro Treves
On Decoding the Responses of a Population of Neurons from Short Time Windows. Neural Comput. 11(7): 1553-1577 (1999) - 1997
- [j3]Edmund T. Rolls
Information in the Neuronal Representation of Individual Stimuli in the Primate Temporal Visual Cortex. J. Comput. Neurosci. 4(4): 309-333 (1997) - [j2]David Golomb
How Well Can We Estimate the Information Carried in Neuronal Responses from Limited Samples? Neural Comput. 9(3): 649-665 (1997) - [c1]Simon R. Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls:
Analogue Resolution in a Model of the Schaffer Collaterals. ICANN 1997: 61-66 - 1995
- [j1]Alessandro Treves, Stefano Panzeri:
The Upward Bias in Measures of Information Derived from Limited Data Samples. Neural Comput. 7(2): 399-407 (1995)
Coauthor Index
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