Spike-phase coding boosts and stabilizes information carried by spatial and temporal spike patterns.

By Christoph Kayser, Marcelo A. Montemurro, Nikos K. Logothetis, Stefano Panzeri. Neuron, 2009

525 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience

View Paper: https://www.semanticscholar.org/paper/06a49219aa355b673690aac3fd751aa923d66d67

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Citations in the corpus

Mechanisms Underlying Selective Neuronal Tracking of Attended Speech at a ‘Cocktail Party’ (2013, methodology): “…both frequencies reliably Neuron 77, 980–9 track the speech envelope, they have nonredundant tracking properties and thus represent systematically different mechanisms for speech tracking, as has been suggested for these measures in other contexts (Belitski et al., 2010; Kayser et al., 2009).”
A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula (2016, methodology): “[Ince et al., 2013; Kayser et al., 2009; Reich et al., 2001], characterize different neurons [Sharpee, 2014] as well as quantify the effect of correlations between neurons [Ince et al.”
Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions. (2015, unknown): “Correspondingly, the phase at which neurons in the auditory cortex spike with respect to slow LFP oscillations helps to uncover the identity of naturalistic sounds [90,91].”
Gamma-band synchronization in the neocortex: novel analysis methods and their application to sensory and motivational systems (2013, background): “This updating time may be sufficient for representing the low-frequency characteristics of stimuli (Montemurro et al., 2008; Kayser et al., 2009; Panzeri et al., 2010).”
Deep Learning With Spiking Neurons: Opportunities and Challenges (2018, background): “Information in SNNs might also be encoded in spike times relative to background oscillations, which has been shown to beneﬁt learning in recurrent networks (Neil et al., 2016b), and allows to encode multiple features in parallel (Kayser et al., 2009).”
Neurophysiological and Computational Principles of Cortical Rhythms in Cognition (2010, background): “It was found that spike phases of low-band [1– 4 Hz (693, 1051) or 8 –12 Hz (504, 750)] passed LFP conveyed a significant amount of additional information about movie stimuli beyond that conveyed by spike counts alone.”