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Vor

Complementary encoding of spatial information in hippocampal astrocytes
Curreli S, Bonato J, Romanzi S, Panzeri S, Fellin T
PLOS BIOL. 2022;20(3):.

Sequential transmission of task-relevant information in cortical neuronal networks
Francis N, Mukherjee S, Koçillari L, Panzeri S, Babadi B, Kanold P
CELL REP. 2022;39(9):.

Unique spatiotemporal fMRI dynamics in the awake mouse brain
Gutierrez-Barragan D, Singh N, Alvino F, Coletta L, Rocchi F, De Guzman E, Galbusera A, Uboldi M, Panzeri S, Gozzi A
CURR BIOL. 2022;32(3):631-644.e6.

Intersecting kinematic encoding and readout of intention in autism
Montobbio N, Cavallo A, Albergo D, Ansuini C, Battaglia F, Podda J, Nobili L, Panzeri S, Becchio C
P NATL ACAD SCI USA. 2022;119(5):.

Distinct ensembles in the noradrenergic locus coeruleus are associated with diverse cortical states
Noei S, Zouridis I, Logothetis N, Panzeri S, Totah N
P NATL ACAD SCI USA. 2022;119(18):e2116507119.

The structures and functions of correlations in neural population codes
Panzeri S, Moroni M, Safaai H, Harvey C
NAT REV NEUROSCI. 2022 [Epub ahead of print].

Why 4D ultrasound has not (yet) revolutionized fetal movement research
Pretti N, Paladini D, Panzeri S, Becchio C
ULTRASOUND OBST GYN. 2022;59(5):569-573.

Increased fMRI connectivity upon chemogenetic inhibition of the mouse prefrontal cortex
Rocchi F, Canella C, Noei S, Gutierrez-Barragan D, Coletta L, Galbusera A, Stuefer A, Vassanelli S, Pasqualetti M, Iurilli G, Panzeri S, Gozzi A
NAT COMMUN. 2022;13(1):.

Seeing others’ intentions in autism
Becchio C, Montobbio N, Ansuini C, Battaglia F, Podda J, Cavallo A, Nobili L, Panzeri S
J VISION . 2021;21(9):.

Costs and benefits of communicating vigor
Becchio C, Pullar K, Panzeri S
BEHAV BRAIN SCI . 2021;44:e124.

Neuroscience: Turbulent times for brain information processing
Bondanelli G, Panzeri S
CURR BIOL. 2021;31(20):R1400-R1402.

Identifying the signature of prospective motor control in children with autism
Cavallo A, Romeo L, Ansuini C, Battaglia F, Nobili L, Pontil M, Panzeri S, Becchio C
SCI REP-UK. 2021;11(1):.

Stimulus dependent relationships between behavioral choice and sensory neural responses
Chicharro D, Panzeri S, Haefner R
ELIFE. 2021;10:.

Cortical responses to touch reflect subcortical integration of LTMR signals
Emanuel A, Lehnert B, Panzeri S, Harvey C, Ginty D
NATURE. 2021;600(7890):680-685.

Directed information exchange between cortical layers in macaque V1 and V4 and its modulation by selective attention
Ferro D, van Kempen J, Boyd M, Panzeri S, Thiele A
P NATL ACAD SCI USA. 2021;118(12):.

Computation of the electroencephalogram (EEG) from network models of point neurons
Martínez-Cañada P, Ness T, Einevoll G, Fellin T, Panzeri S
PLOS COMPUT BIOL. 2021;17(4):.

Methods for inferring neural circuit interactions and neuromodulation from local field potential and electroencephalogram measures
Martínez-Cañada P, Noei S, Panzeri S
Brain informatics. 2021;8(1):27.

Intention readout primes action categorization
Scaliti E, Borghini G, Pullar K, Cavallo A, Panzeri S, Becchio C
J VISION . 2021;21(9):.

Correlations enhance the behavioral readout of neural population activity in association cortex
Valente M, Pica G, Bondanelli G, Moroni M, Runyan C, Morcos A, Harvey C, Panzeri S
NAT NEUROSCI. 2021;24(7):975-986.

Intrinsic excitation-inhibition imbalance affects medial prefrontal cortex differently in autistic men versus women

ELIFE. 2020;9:.

Extended field-of-view ultrathin microendoscopes for high-resolution two-photon imaging with minimal invasiveness
Antonini A, Sattin A, Moroni M, Bovetti S, Moretti C, Succol F, Forli A, Vecchia D, Rajamanickam V, Bertoncini A, Panzeri S, Liberale C, Fellin T
ELIFE. 2020;9:.

High-Accuracy Detection of Neuronal Ensemble Activity in Two-Photon Functional Microscopy Using Smart Line Scanning
Brondi M, Moroni M, Vecchia D, Molano-Mazón M, Panzeri S, Fellin T
CELL REP. 2020;30(8):2567-2580.e6.

Manipulating synthetic optogenetic odors reveals the coding logic of olfactory perception
Chong E, Moroni M, Wilson C, Shoham S, Panzeri S, Rinberg D
SCIENCE. 2020;368(6497):.

Author Correction: Structure and flexibility in cortical representations of odour space
Pashkovski S, Iurilli G, Brann D, Chicharro D, Drummey K, Franks K, Panzeri S, Datta S
NATURE. 2020;584(7822):E38.

Structure and flexibility in cortical representations of odour space
Pashkovski S, Iurilli G, Brann D, Chicharro D, Drummey K, Franks K, Panzeri S, Datta S
NATURE. 2020;583(7815):253-258.

Transient Disruption of the Inferior Parietal Lobule Impairs the Ability to Attribute Intention to Action
Patri J, Cavallo A, Pullar K, Soriano M, Valente M, Koul A, Avenanti A, Panzeri S, Becchio C
CURR BIOL. 2020;30(23):4594-4605.e7.

Temporal Sharpening of Sensory Responses by Layer V in the Mouse Primary Somatosensory Cortex
Vecchia D, Beltramo R, Vallone F, Chéreau R, Forli A, Molano-Mazón M, Bawa T, Binini N, Moretti C, Holtmaat A, Panzeri S, Fellin T
CURR BIOL. 2020;30(9):1589-1599.e10.

Sensorimotor communication at the intersection between kinematic coding and readout: Comment on "The body talks: Sensorimotor communication and its brain and kinematic signatures" by Giovanni Pezzulo, Francesco Donnarumma, Haris Dindo, Alessandro D'Ausilio, Ivana Konvalinka, Cristiano Castelfranchi
Becchio C, Panzeri S
PHYS LIFE REV. 2019;28:39-42.

Mathematical studies of the dynamics of finite-size binary neural networks: A review of recent progress
Fasoli D, Panzeri S
MATH BIOSCI ENG. 2019;16(6):8025-8059.

Optimized brute-force algorithms for the bifurcation analysis of a binary neural network model
Fasoli D, Panzeri S
PHYS REV E. 2019;99(1-1):012316.

Stationary-State Statistics of a Binary Neural Network Model with Quenched Disorder
Fasoli D, Panzeri S
ENTROPY-SWITZ. 2019;21(7):.

Infraslow State Fluctuations Govern Spontaneous fMRI Network Dynamics
Gutierrez-Barragan D, Basson M, Panzeri S, Gozzi A
CURR BIOL. 2019;29(14):2295-2306.e5.

Categorical encoding of decision variables in orbitofrontal cortex
Onken A, Xie J, Panzeri S, Padoa-Schioppa C
PLOS COMPUT BIOL. 2019;15(10):e1006667.

Information Theory in Neuroscience
Piasini E, Panzeri S
ENTROPY-SWITZ. 2019;21(1):.

Using intersection information to map stimulus information transfer within neural networks
Pica G, Soltanipour M, Panzeri S
BIOSYSTEMS. 2019;185:104028.

Cholinergic Modulation Promotes Attentional Modulation in Primary Visual Cortex- A Modeling Study
Sajedin A, Menhaj M, Vahabie A, Panzeri S, Esteky H
SCI REP-UK. 2019;9(1):20186.

The Spectrum of Asynchronous Dynamics in Spiking Networks as a Model for the Diversity of Non-rhythmic Waking States in the Neocortex
Zerlaut Y, Zucca S, Panzeri S, Fellin T
CELL REP. 2019;27(4):1119-1132.e7.

Thalamic Drive of Cortical Parvalbumin-Positive Interneurons during Down States in Anesthetized Mice
Zucca S, Pasquale V, Lagomarsino de Leon Roig P, Panzeri S, Fellin T
CURR BIOL. 2019;29(9):1481-1490.e6.

The Identity of Information: How Deterministic Dependencies Constrain Information Synergy and Redundancy
Chicharro D, Pica G, Panzeri S
ENTROPY-SWITZ. 2018;20(3):.

Deciphering the functional role of spatial and temporal muscle synergies in whole-body movements
Delis I, Hilt P, Pozzo T, Panzeri S, Berret B
SCI REP-UK. 2018;8(1):8391.

Pattern Storage, Bifurcations, and Groupwise Correlation Structure of an Exactly Solvable Asymmetric Neural Network Model
Fasoli D, Cattani A, Panzeri S
NEURAL COMPUT. 2018;30(5):1258-1295.

Transitions between asynchronous and synchronous states: a theory of correlations in small neural circuits
Fasoli D, Cattani A, Panzeri S
J COMPUT NEUROSCI. 2018;44(1):25-43.

Homozygous Loss of Autism-Risk Gene CNTNAP2 Results in Reduced Local and Long-Range Prefrontal Functional Connectivity
Liska A, Bertero A, Gomolka R, Sabbioni M, Galbusera A, Barsotti N, Panzeri S, Scattoni M, Pasqualetti M, Gozzi A
CEREB CORTEX. 2018;28(4):1141-1153.

State-dependent representation of stimulus-evoked activity in high-density recordings of neural cultures
Nieus T, D'Andrea V, Amin H, Di Marco S, Safaai H, Maccione A, Berdondini L, Panzeri S
SCI REP-UK. 2018;8(1):5578.

Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model
Olivetti E, Benozzo D, Bím J, Panzeri S, Avesani P
FRONT COMPUT NEUROSC. 2018;12:38.

Learning to focus on number
Piazza M, De Feo V, Italy C, Dehaene S
COGNITION. 2018;181:35-45.

Information estimation using nonparametric copulas
Safaai H, Onken A, Harvey C, Panzeri S
PHYS REV E. 2018;98(5):.

Perceptual learning of fine contrast discrimination changes neuronal tuning and population coding in macaque V4
Sanayei M, Chen X, Chicharro D, Distler C, Panzeri S, Thiele A
NAT COMMUN. 2018;9(1):4238.

The Locus Coeruleus Is a Complex and Differentiated Neuromodulatory System
Totah N, Neves R, Panzeri S, Logothetis N, Eschenko O
NEURON. 2018;99(5):1055-1068.e6.

The threshold for conscious report: Signal loss and response bias in visual and frontal cortex
van Vugt B, Dagnino B, Vartak D, Safaai H, Panzeri S, Dehaene S, Roelfsema P
SCIENCE. 2018;360(6388):537-542.

Dopamine Is Signaled by Mid-frequency Oscillations and Boosts Output Layers Visual Information in Visual Cortex
Zaldivar D, Goense J, Lowe S, Logothetis N, Panzeri S
CURR BIOL. 2018;28(2):224-235.e5.

State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats
De Feo V, Boi F, Safaai H, Onken A, Panzeri S, Vato A
FRONT NEUROSCI-SWITZ. 2017;11:269.

Contributions of local speech encoding and functional connectivity to audio-visual speech perception
Giordano B, Ince R, Gross J, Schyns P, Panzeri S, Kayser C
ELIFE. 2017;6:.

Inference of neuronal functional circuitry with spike-triggered non-negative matrix factorization
Liu J, Schreyer H, Onken A, Rozenblit F, Khani M, Krishnamoorthy V, Panzeri S, Gollisch T
NAT COMMUN. 2017;8(1):149.

Cracking the Neural Code for Sensory Perception by Combining Statistics, Intervention, and Behavior
Panzeri S, Harvey C, Piasini E, Latham P, Fellin T
NEURON. 2017;93(3):491-507.

Natural Translating Locomotion Modulates Cortical Activity at Action Observation
Pozzo T, Inuggi A, Keuroghlanian A, Panzeri S, Saunier G, Campus C
Front Syst Neurosci. 2017;11:83.

Distinct timescales of population coding across cortex
Runyan C, Piasini E, Panzeri S, USA. D
NATURE. 2017;548(7665):92-96.

Biofeedback Signals for Robotic Rehabilitation: Assessment of Wrist Muscle Activation Patterns in Healthy Humans
Semprini M, Cuppone A, Delis I, Squeri V, Panzeri S, Konczak J
IEEE T NEUR SYS REH. 2017;25(7):883-892.

Emergence of transformation-tolerant representations of visual objects in rat lateral extrastriate cortex
Tafazoli S, Safaai H, De Franceschi G, Rosselli F, Vanzella W, Riggi M, Buffolo F, Panzeri S, Zoccolan D
ELIFE. 2017;6:.

Cholinergic Control of Information Coding
van Kempen J, Panzeri S, Thiele A
TRENDS NEUROSCI. 2017;40(9):522-524.

An inhibitory gate for state transition in cortex
Zucca S, D'Urso G, Pasquale V, Vecchia D, Pica G, Bovetti S, Moretti C, Varani S, Molano-Mazón M, Chiappalone M, Panzeri S, Fellin T
ELIFE. 2017;6:.

Space-by-time manifold representation of dynamic facial expressions for emotion categorization
Delis I, Chen C, Jack R, Garrod O, Panzeri S, Schyns P
J VISION . 2016;16(8):14.

Space-by-time decomposition for single-trial decoding of M/EEG activity
Delis I, Onken A, Schyns P, Panzeri S, Philiastides M
NEUROIMAGE. 2016;133:504-515.

Unaltered Network Activity and Interneuronal Firing During Spontaneous Cortical Dynamics In Vivo in a Mouse Model of Severe Myoclonic Epilepsy of Infancy
De Stasi A, Farisello P, Marcon I, Cavallari S, Forli A, Vecchia D, Losi G, Mantegazza M, Panzeri S, Carmignoto G, Bacci A, Fellin T
CEREB CORTEX. 2016;26(4):1778-94.

The Complexity of Dynamics in Small Neural Circuits
Fasoli D, Cattani A, Panzeri S
PLOS COMPUT BIOL. 2016;12(8):e1004992.

The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres
Ince R, Jaworska K, Gross J, Panzeri S, van Rijsbergen N, Rousselet G, Schyns P
CEREB CORTEX. 2016;26(11):4123-4135.

Using Matrix and Tensor Factorizations for the Single-Trial Analysis of Population Spike Trains
Onken A, Liu J, Karunasekara P, Delis I, Gollisch T, Panzeri S
PLOS COMPUT BIOL. 2016;12(11):e1005189.

Implications of the Dependence of Neuronal Activity on Neural Network States for the Design of Brain-Machine Interfaces
Panzeri S, Safaai H, De Feo V, Vato A
FRONT NEUROSCI-SWITZ. 2016;10:165.

Attention Induced Gain Stabilization in Broad and Narrow-Spiking Cells in the Frontal Eye-Field of Macaque Monkeys
Thiele A, Brandt C, Dasilva M, Gotthardt S, Chicharro D, Panzeri S, Distler C
J NEUROSCI. 2016;36(29):7601-12.

What can neuromorphic event-driven precise timing add to spike-based pattern recognition?
Akolkar H, Meyer C, Clady Z, Marre O, Bartolozzi C, Panzeri S, Benosman R
NEURAL COMPUT. 2015;27(3):561-93.

Shifts of Gamma Phase across Primary Visual Cortical Sites Reflect Dynamic Stimulus-Modulated Information Transfer
Besserve M, Lowe S, Logothetis N, Schölkopf B, Panzeri S
PLOS BIOL. 2015;13(9):e1002257.

A bidirectional brain-machine interface connecting alert rodents to a dynamical system
Boi F, Semprini M, Mussa Ivaldi F, Panzeri S, Vato A
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2015;2015:51-4.

Task-discriminative space-by-time factorization of muscle activity
Delis I, Panzeri S, Pozzo T, Berret B
FRONT HUM NEUROSCI. 2015;9:399.

A formalism for evaluating analytically the cross-correlation structure of a firing-rate network model
Fasoli D, Faugeras O, Panzeri S
Journal of mathematical neuroscience. 2015;5:6.

Tracing the Flow of Perceptual Features in an Algorithmic Brain Network
Ince R, van Rijsbergen N, Thut G, Rousselet G, Gross J, Panzeri S, Schyns P
SCI REP-UK. 2015;5:17681.

Rhythmic auditory cortex activity at multiple timescales shapes stimulus-response gain and background firing
Kayser C, Wilson C, Safaai H, Sakata S, Panzeri S
J NEUROSCI. 2015;35(20):7750-62.

Extracting information in spike time patterns with wavelets and information theory
Lopes-dos-Santos V, Panzeri S, Kayser C, Diamond M, Quian Quiroga R
J NEUROPHYSIOL. 2015;113(3):1015-33.

Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models
Mazzoni A, Lindén H, Cuntz H, Lansner A, Panzeri S, Einevoll G
PLOS COMPUT BIOL. 2015;11(12):e1004584.

Neural population coding: combining insights from microscopic and mass signals
Panzeri S, Macke J, Gross J, Kayser C
TRENDS COGN SCI. 2015;19(3):162-72.

Modeling the effect of locus coeruleus firing on cortical state dynamics and single-trial sensory processing
Safaai H, Neves R, Eschenko O, Logothetis N, Panzeri S
P NATL ACAD SCI USA. 2015;112(41):12834-9.

Complementary contributions of spike timing and spike rate to perceptual decisions in rat S1 and S2 cortex
Zuo Y, Safaai H, Notaro G, Mazzoni A, Panzeri S, Diamond M
CURR BIOL. 2015;25(3):357-363.

Stimulus dependence of local field potential spectra: experiment versus theory
Barbieri F, Mazzoni A, Logothetis N, Panzeri S, Brunel N
J NEUROSCI. 2014;34(44):14589-605.

Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks
Cavallari S, Panzeri S, Mazzoni A
FRONT NEURAL CIRCUIT. 2014;8:12.

Algorithms of causal inference for the analysis of effective connectivity among brain regions
Chicharro D, Panzeri S
FRONT NEUROINFORM. 2014;8:64.

A unifying model of concurrent spatial and temporal modularity in muscle activity
Delis I, Panzeri S, Pozzo T, Berret B
J NEUROPHYSIOL. 2014;111(3):675-93.

Reading spike timing without a clock: intrinsic decoding of spike trains
Panzeri S, Ince R, Diamond M, Kayser C
PHILOS T R SOC B. 2014;369(1637):20120467.

A bidirectional brain-machine interface algorithm that approximates arbitrary force-fields
Vato A, Szymanski F, Semprini M, Mussa-Ivaldi F, Panzeri S
PLOS ONE. 2014;9(3):e91677.

Muscle synergies in neuroscience and robotics: from input-space to task-space perspectives
Alessandro C, Delis I, Nori F, Panzeri S, Berret B
FRONT COMPUT NEUROSC. 2013;7:43.

Investigating reduction of dimensionality during single-joint elbow movements: a case study on muscle synergies
Chiovetto E, Berret B, Delis I, Panzeri S, Pozzo T
FRONT COMPUT NEUROSC. 2013;7:11.

A methodology for assessing the effect of correlations among muscle synergy activations on task-discriminating information
Delis I, Berret B, Pozzo T, Panzeri S
FRONT COMPUT NEUROSC. 2013;7:54.

Quantitative evaluation of muscle synergy models: a single-trial task decoding approach
Delis I, Berret B, Pozzo T, Panzeri S
FRONT COMPUT NEUROSC. 2013;7:8.

Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll G, Kayser C, Logothetis N, Panzeri S
NAT REV NEUROSCI. 2013;14(11):770-85.

Speech rhythms and multiplexed oscillatory sensory coding in the human brain
Gross J, Hoogenboom N, Thut G, Schyns P, Panzeri S, Belin P, Garrod S
PLOS BIOL. 2013;11(12):e1001752.

Neural codes formed by small and temporally precise populations in auditory cortex
Ince R, Panzeri S, Kayser C
J NEUROSCI. 2013;33(46):18277-87.

Neurons with stereotyped and rapid responses provide a reference frame for relative temporal coding in primate auditory cortex
Brasselet R, Panzeri S, Logothetis N, Kayser C
J NEUROSCI. 2012;32(9):2998-3008.

Noradrenergic neurons of the locus coeruleus are phase locked to cortical up-down states during sleep
Eschenko O, Magri C, Panzeri S, Sara S
CEREB CORTEX. 2012;22(2):426-35.

A novel test to determine the significance of neural selectivity to single and multiple potentially correlated stimulus features
Ince R, Mazzoni A, Bartels A, Logothetis N, Panzeri S
J NEUROSCI METH. 2012;210(1):49-65.

Analysis of slow (theta) oscillations as a potential temporal reference frame for information coding in sensory cortices
Kayser C, Ince R, Panzeri S
PLOS COMPUT BIOL. 2012;8(10):e1002717.

Optimal band separation of extracellular field potentials
Magri C, Mazzoni A, Logothetis N, Panzeri S
J NEUROSCI METH. 2012;210(1):66-78.

The amplitude and timing of the BOLD signal reflects the relationship between local field potential power at different frequencies
Magri C, Schridde U, Murayama Y, Panzeri S, Logothetis N
J NEUROSCI. 2012;32(4):1395-407.

Shaping the dynamics of a bidirectional neural interface
Vato A, Semprini M, Maggiolini E, Szymanski F, Fadiga L, Panzeri S, Mussa-Ivaldi F
PLOS COMPUT BIOL. 2012;8(7):e1002578.

Carbon nanotube composite coating of neural microelectrodes preferentially improves the multiunit signal-to-noise ratio
Baranauskas G, Maggiolini E, Castagnola E, Ansaldo A, Mazzoni A, Angotzi G, Vato A, Ricci D, Panzeri S, Fadiga L
J NEURAL ENG. 2011;8(6):066013.

Investigating static nonlinearities in neurovascular coupling
Magri C, Logothetis N, Panzeri S
MAGN RESON IMAGING. 2011;29(10):1358-64.

Cortical dynamics during naturalistic sensory stimulations: experiments and models
Mazzoni A, Brunel N, Cavallari S, Logothetis N, Panzeri S
Journal of physiology, Paris. 2011;105(1-3):2-15.

The laminar and temporal structure of stimulus information in the phase of field potentials of auditory cortex
Szymanski F, Rabinowitz N, Magri C, Panzeri S, Schnupp J
J NEUROSCI. 2011;31(44):15787-801.

Dynamic Brain-Machine Interface: a novel paradigm for bidirectional interaction between brains and dynamical systems
Szymanski F, Semprini M, Mussa-Ivaldi F, Fadiga L, Panzeri S, Vato A
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2011;2011:4592-5.

Sensory input drives multiple intracellular information streams in somatosensory cortex
Alenda A, Molano-Mazón M, Panzeri S, Maravall M
J NEUROSCI. 2010;30(32):10872-84.

Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands
Belitski A, Panzeri S, Magri C, Logothetis N, Kayser C
J COMPUT NEUROSCI. 2010;29(3):533-545.

Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis
Besserve M, Schölkopf B, Logothetis N, Panzeri S
J COMPUT NEUROSCI. 2010;29(3):547-66.

Open source tools for the information theoretic analysis of neural data
Ince R, Mazzoni A, Petersen R, Panzeri S
FRONT NEUROSCI-SWITZ. 2010;4:.

Information-theoretic methods for studying population codes
Ince R, Senatore R, Arabzadeh E, Montani F, Diamond M, Panzeri S
NEURAL NETWORKS. 2010;23(6):713-27.

Millisecond encoding precision of auditory cortex neurons
Kayser C, Logothetis N, Panzeri S
P NATL ACAD SCI USA. 2010;107(39):16976-81.

Visual enhancement of the information representation in auditory cortex
Kayser C, Logothetis N, Panzeri S
CURR BIOL. 2010;20(1):19-24.

Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling
Lüdtke N, Logothetis N, Panzeri S
MAGN RESON IMAGING. 2010;28(8):1113-9.

Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model
Mazzoni A, Whittingstall K, Brunel N, Logothetis N, Panzeri S
NEUROIMAGE. 2010;52(3):956-72.

New Perspectives on the Dialogue between Brains and Machines
Mussa-Ivaldi F, Alford S, Chiappalone M, Fadiga L, Karniel A, Kositsky M, Maggiolini E, Panzeri S, Sanguineti V, Semprini M, Vato A
FRONT NEUROSCI-SWITZ. 2010;4:44.

Sensory neural codes using multiplexed temporal scales
Panzeri S, Brunel N, Logothetis N, Kayser C
TRENDS NEUROSCI. 2010;33(3):111-20.

Information Carried by Population Spike Times in the Whisker Sensory Cortex can be Decoded Without Knowledge of Stimulus Time
Panzeri S, Diamond M
FRONT SYNAPTIC NEURO. 2010;2:17.

Naturalistic stimulus trains evoke reproducible subicular responses both within and between animals in vivo
Tunstall B, Agnew Z, Panzeri S, Gigg J
HIPPOCAMPUS. 2010;20(2):252-63.

Python for information theoretic analysis of neural data
Ince R, Petersen R, Swan D, Panzeri S
FRONT NEUROINFORM. 2009;3:4.

Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns
Kayser C, Montemurro M, Logothetis N, Panzeri S
NEURON. 2009;61(4):597-608.

A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings
Magri C, Whittingstall K, Singh V, Logothetis N, Panzeri S
BMC NEUROSCI. 2009;10:81.

The impact of high-order interactions on the rate of synchronous discharge and information transmission in somatosensory cortex
Montani F, Ince R, Senatore R, Arabzadeh E, Diamond M, Panzeri S
PHILOS T R SOC A. 2009;367(1901):3297-310.

Neural coding and contextual influences in the whisker system
Petersen R, Panzeri S, Maravall M
BIOL CYBERN. 2009;100(6):427-46.

Extracting information from neuronal populations: information theory and decoding approaches
Quian Quiroga R, UK D
NAT REV NEUROSCI. 2009;10(3):173-85.

Encoding of naturalistic stimuli by local field potential spectra in networks of excitatory and inhibitory neurons
Mazzoni A, Panzeri S, Logothetis N, Brunel N
PLOS COMPUT BIOL. 2008;4(12):e1000239.

Diverse and temporally precise kinetic feature selectivity in the VPm thalamic nucleus
Petersen R, Brambilla M, Bale M, Alenda A, UK F, Montemurro M, Maravall M
NEURON. 2008;60(5):890-903.

Letzte Aktualisierung aus dem FIS: 03.07.2022 - 03:30 Uhr

Bookchapters

Inferring Neural Circuit Interactions and Neuromodulation from Local Field Potential and Electroencephalogram Measures
Pablo Martínez-Cañada, Shahryar Noei, Stefano Panzeri. Brain Informatics. (2021)
14th International Conference, BI 2021, Virtual Event, September 17–19, 2021, Proceedings

Spectral Properties of Local Field Potentials and Electroencephalograms as Indices for Changes in Neural Circuit Parameters
Pablo Martínez-Cañada, Stefano Panzeri. Brain Informatics. (2021)