Stefano Panzeri
Cognitive Neuroscience · 2007–2017
A researcher in the Science corpus: 11 papers; trusts 44 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 223 citations into it; #1,479 of 10,852 by trust here, #1,099 by citations
- Cellular and Molecular Neuroscience — 133 citations into it; #535 of 2,998 by trust here, #749 by citations
- Artificial Intelligence — 23 citations into it
- Electrical and Electronic Engineering — 21 citations into it
- Statistical and Nonlinear Physics — 18 citations into it; #7,288 of 10,127 by trust here, #3,100 by citations
- Molecular Biology — 17 citations into it
- Signal Processing — 13 citations into it
- Radiology, Nuclear Medicine and Imaging — 11 citations into it
Whom Stefano Panzeri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Nikos K. Logothetis
- Radford M. Neal
- Vladimir Naumovich Vapni
- Nicolas J.-B. Brunel
- Elad Schneidman
- György Buzsáki
- R. Quian Quiroga
- Peter Lakatos
- M. Jarvis
- John P. Cunningham
Who trusts Stefano Panzeri overall
- Martin A. Vinck
- Robin A. A. Ince
- Alberto Mazzoni
- Christoph Kayser
- Xiao-Jing Wang
- Joachim Gross
- Nikos K. Logothetis
- Christoph D. Dahl
- Bruno L. Giordano
- Mark D. McDonnell
Papers from Stefano Panzeri's perspective
Ordered by how strongly the researchers Stefano Panzeri trusts endorse each paper. Same corpus, a different order for every researcher.
- Modulation of Oscillatory Neuronal Synchronization by Selective Visual Attention (Science)
- Information Theory: 1948-1998 - Guest Editorial
- Neural correlations, population coding and computation
- Low-frequency neuronal oscillations as instruments of sensory selection (Trends in Neurosciences)
- Modulation of Neuronal Interactions Through Neuronal Synchronization (Science)
- The Nature of Statistical Learning Theory
- Statistical Analysis of Circular Data
- Role of experience and oscillations in transforming a rate code into a temporal code (Nature)
- Pattern Recognition and Machine Learning
- Rhythms of the brain
Their papers
- Neural population coding: combining insights from microscopic and mass signals (2015) — 220 citations
- Modelling and analysis of local field potentials for studying the function of cortical circuits (2013) — 802 citations
- The locus coeruleus is a complex and differentiated neuromodulatory system (2017) — 122 citations
- Computing the Local Field Potential (LFP) from Integrate-and-Fire Network Models (2015) — 348 citations
- Speech Rhythms and Multiplexed Oscillatory Sensory Coding in the Human Brain (2013) — 594 citations
- Sensory neural codes using multiplexed temporal scales. (2010) — 540 citations
- Extracting information from neuronal populations: information theory and decoding approaches (2009) — 854 citations
- Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns. (2009) — 525 citations
- Low-Frequency Local Field Potentials and Spikes in Primary Visual Cortex Convey Independent Visual Information (2008) — 433 citations
- Encoding of Naturalistic Stimuli by Local Field Potential Spectra in Networks of Excitatory and Inhibitory Neurons (2008) — 342 citations
- Correcting for the sampling bias problem in spike train information measures. (2007) — 449 citations