Publications of S Panzeri

Journal Article (35)

Journal Article
Mazzoni, A.; Brunel, N.; Cavallari, S.; Logothetis, N.; Panzeri, S.: Cortical dynamics during naturalistic sensory stimulations: Experiments and models. Journal of Physiology (Paris) 105 (1-3), pp. 2 - 15 (2011)
Journal Article
Belitski, A.; Panzeri, S.; Magri, C.; Logothetis, N.; Kayser, C.: Sensory information in local field potentials and spikes from visual and auditory cortices: time scales and frequency bands. Journal of Computational Neuroscience 29 (3), pp. 533 - 545 (2010)
Journal Article
Besserve, M.; Schölkopf, B.; Logothetis, N.; Panzeri, S.: Causal relationships between frequency bands of extracellular signals in visual cortex revealed by an information theoretic analysis. Journal of Computational Neuroscience 29 (3), pp. 547 - 566 (2010)
Journal Article
Lüdtke, N.; Logothetis, N.; Panzeri, S.: Testing methodologies for the nonlinear analysis of causal relationships in neurovascular coupling. Magnetic Resonance Imaging 28 (8), pp. 1113 - 1119 (2010)
Journal Article
Kayser, C.; Logothetis, N.; Panzeri, S.: Millisecond encoding precision of auditory cortex neurons. Proceedings of the National Academy of Sciences of the United States of America 107 (39), pp. 16976 - 16981 (2010)
Journal Article
Mazzoni, A.; Whittingstall, K.; Brunel, N.; Logothetis, N.; Panzeri, S.: Understanding the relationships between spike rate and delta/gamma frequency bands of LFPs and EEGs using a local cortical network model. NeuroImage 52 (3), pp. 956 - 972 (2010)
Journal Article
Panzeri, S.; Brunel, N.; Logothetis, N.; Kayser, C.: Sensory neural codes using multiplexed temporal scales. Trends in Neurosciences 33 (3), pp. 111 - 120 (2010)
Journal Article
Kayser, C.; Logothetis, N.; Panzeri, S.: Visual enhancement of the information representation in auditory cortex. Current Biology 20 (1), pp. 19 - 24 (2010)
Journal Article
Magri, C.; Whittingstall, K.; Singh, V.; Logothetis, N.; Panzeri, S.: A toolbox for the fast information analysis of multiple-site LFP, EEG and spike train recordings. BMC Neuroscience 10, 81, pp. 1 - 24 (2009)
Journal Article
Kayser, C.; Montemurro, M.; Logothetis, N.; Panzeri, S.: Spike-Phase Coding Boosts and Stabilizes Information Carried by Spatial and Temporal Spike Patterns. Neuron 61 (4), pp. 597 - 608 (2009)
Journal Article
Mazzoni, A.; Panzeri, S.; Logothetis, N.; Brunel, N.: Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons. PLoS Computational Biology 4 (12), pp. 1 - 20 (2008)
Journal Article
Panzeri, S.; Magri, C.; Carraro, L.: Sampling bias. Scholarpedia 3 (9), p. 4258 (2008)
Journal Article
Panzeri, S.; Magri, C.; Logothetis, N.: On the use of information theory for the analysis of the relationship between neural and imaging signals. Magnetic Resonance Imaging 26 (7), pp. 1015 - 1025 (2008)
Journal Article
Belitski, A.; Gretton, A.; Magri, C.; Murayama, Y.; Montemurro, M.; Logothetis, N.; Panzeri, S.: Low-frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information. The Journal of Neuroscience 28 (22), pp. 5696 - 5709 (2008)
Journal Article
Montemurro, M.; Rasch, M.; Murayama, Y.; Logothetis, N.; Panzeri, S.: Phase-of-Firing Coding of Natural Visual Stimuli in Primary Visual Cortex. Current Biology 18 (5), pp. 375 - 380 (2008)

Book (1)

Book
Quian Quiroga, R.; Panzeri, S. (Eds.): Principles of Neural Coding. CRC Press, Boca Raton, FL, USA (2013), 663 pp.

Book Chapter (9)

Book Chapter
Ince, R.; Panzeri, S.; Schultz, S.: Summary of Information Theoretic Quantities. In: Encyclopedia of Computational Neuroscience, pp. 2924 - 2928 (Eds. Jaeger , D.; Jung, R.). Springer, New York, NY, USA (2015)
Book Chapter
Ince, R.; Schultz, S.; Panzeri, S.: Estimating Information-Theoretic Quantities. In: Encyclopedia of Computational Neuroscience, pp. 1137 - 1148 (Ed. Jaeger, D.). Springer, New York, NY, USA (2015)
Book Chapter
Logothetis, N.; Panzeri, S.: Local Field Potential, Relationship to BOLD Signal. In: Encyclopedia of Computational Neuroscience, pp. 1560 - 1568 (Eds. Jaeger , D.; Jung, R.). Springer, New York, NY, USA (2015)
Book Chapter
Schultz, S.; Ince, R.; Panzeri, S.: Applications of Information Theory to Analysis of Neural Data. In: Encyclopedia of Computational Neuroscience, pp. 199 - 203 (Eds. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)
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