ArticleFrontiers in neuroscience2021
Theoretical Relationship Between Two Measures of Spike Synchrony: Correlation Index and Vector Strength.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Simultaneous encoding of sensory features: the role of multiplexing and noise in tactile perception and neural representation.Biological reviews of the Cambridge Philosophical Society · 2026Review
- Synaptic input variation enhances rate coding at the expense of temporal precision in cochlear nucleus neurons.PLoS biology · 2026Article
- The cerebellum shapes motions by encoding motor frequencies with precision and cross-individual uniformity.Nature biomedical engineering · 2025Article
- Synchrony, oscillations, and phase relationships in collective neuronal activity: A highly comparative overview of methods.PLoS computational biology · 2025Article
- Precise spike-timing information in the brainstem is well aligned with the needs of communication and the perception of environmental sounds.PLoS biology · 2025Article
- Neural Correlates of Perceptual Plasticity in the Auditory Midbrain and Thalamus.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Article
- Altered neural encoding of vowels in noise does not affect behavioral vowel discrimination in gerbils with age-related hearing loss.Frontiers in neuroscience · 2023Article
- Benefits of Enhanced Phase-Locking for Binaural Coding of Amplitude-Modulated Sounds.Trends in hearingArticle
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4 authors.
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Abstract
Information processing in the nervous system critically relies on temporally precise spiking activity. In the auditory system, various degrees of phase-locking can be observed from the auditory nerve to cortical neurons. The classical metric for quantifying phase-locking is the vector strength (VS), which captures the periodicity in neuronal spiking. More recently, another metric, called the correlation index (CI), was proposed to quantify the temporally reproducible response characteristics of a neuron. The CI is defined as the peak value of a normalized shuffled autocorrelogram (SAC). Both VS and CI have been used to investigate how temporal information is processed and propagated along the auditory pathways. While previous analyses of physiological data in cats suggested covariation of these two metrics, general characterization of their connection has never been performed. In the present study, we derive a rigorous relationship between VS and CI. To model phase-locking, we assume Poissonian spike trains with a temporally changing intensity function following a
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