Skip to main content
SpringerLink
Log in
Book cover

Encyclopedia of Computational Neuroscience pp 1–5Cite as

Phase-Locking Methods

  • Living reference work entry
  • First Online:

  • 440 Accesses

Synonyms

Phase correlation; Phase synchrony; Timulus locking

Definition

Phase locking is a fundamental property of dynamical systems and implies an interaction between processes or system components and their state dynamics. Phase locking is statistically indicated by a nonrandom phase or phase difference distribution. Phase is a quantitative description of the state of a given process/component of the system and its temporal evolution. As such, phase is directly meaningful and comparable between different levels of study, and there it differs, e.g., from signal amplitude of which the physiological meaning is dependent on experimental conditions. In computational neuroscience, phase is typically extracted from time series of neuronal activity. Phase locking can be estimated between two or more such time series and is then termed phase synchrony or phase correlation or between one time series and events such as sensory stimuli and is then termed stimulus locking. Finally, phase-locking...

This is a preview of subscription content, log in via an institution.

References

  • Aydore S, Pantazis D, Leahy RM (2013) A note on the phase locking value and its properties. Neuroimage 74:231–244

    Article  PubMed  PubMed Central  Google Scholar 

  • Bruns A (2004) Fourier-, Hilbert- and wavelet-based signal analysis: are they really different approaches? J Neurosci Methods 137:321–332

    Article  PubMed  Google Scholar 

  • Jervis BW, Nichols MJ, Johnson TE, Allen E, Hudson NR (1983) A fundamental investigation of the composition of auditory evoked potentials. IEEE Trans Biomed Eng 30:43–50

    Article  PubMed  CAS  Google Scholar 

  • Lobier M, Siebenhühner F, Palva S, Palva JM (2014) Phase transfer entropy: a novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions. Neuroimage 2014(85 Pt 2):853–872

    Article  Google Scholar 

  • Nikulin VV, Linkenkaer-Hansen K, Nolte G, Lemm S, Müller KR, Ilmoniemi RJ, Curio G (2007) A novel mechanism for evoked responses in the human brain. Eur J Neurosci 25:3146–3154

    Article  PubMed  Google Scholar 

  • Nolte G, Bai O, Wheaton L, Mari Z, Vorbach S, Hallett M (2004) Identifying true brain interaction from EEG data using the imaginary part of coherency. Clin Neurophysiol 115:2292–2307

    Article  PubMed  Google Scholar 

  • Palva JM, Monto S, Kulashekhar S, Palva S (2010) Neuronal synchrony reveals working memory networks and predicts individual memory capacity. Proc Natl Acad Sci U S A 107:7580–7585

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Rosenblum MG, Pikovsky AS, Kurths J (2004) Synchronization approach to analysis of biological systems. Fluct Noise Lett 4:52–63

    Article  Google Scholar 

  • Sinkkonen J, Tiitinen H, Näätänen R (1995) Gabor filters: an informative way for analysing event-related brain activity. J Neurosci Methods 56:99–104

    Article  PubMed  CAS  Google Scholar 

  • Tallon-Baudry C, Bertrand O, Delpuech C, Pernier J (1996) Stimulus specificity of phase-locked and non-phase-locked 40 Hz visual responses in human. J Neurosci 16:4240–4249

    PubMed  CAS  Google Scholar 

  • Tass P, Rosenblum MG, Weule J, Kurths J, Pikovsky A, Volkmann J, Schnitzler A, Freund H-J (1998) Detection of n:m phase locking from noisy data: application to magnetoencephalography. Phys Rev Lett 81

    Google Scholar 

  • Vanhatalo S, Palva JM, Holmes MD, Miller JW, Voipio J, Kaila K (2004) Infraslow oscillations modulate excitability and interictal epileptic activity in the human cortex during sleep. Proc Natl Acad Sci U S A 101:5053–5057

    Article  PubMed  CAS  PubMed Central  Google Scholar 

  • Vinck M, van Wingerden M, Womelsdorf T, Fries P, Pennartz CM (2010) The pairwise phase consistency: a bias-free measure of rhythmic neuronal synchronization. Neuroimage 51:112–122

    Article  PubMed  Google Scholar 

  • Vinck M, Oostenveld R, van Wingerden M, Battaglia F, Pennartz CM (2011) An improved index of phase-synchronization for electrophysiological data in the presence of volume-conduction, noise and sample-size bias. Neuroimage 55:1548–1565

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Neuroscience Center, University of Helsinki, Helsinki, FIN-00014, Finland

    Dr. J. Matias Palva

Authors
  1. Dr. J. Matias Palva
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to J. Matias Palva .

Editor information

Editors and Affiliations

  1. Atlanta, Georgia, USA

    Dieter Jaeger

  2. Department of Biomedical Engineering, Florida International University, Miami, Florida, USA

    Ranu Jung

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media New York

About this entry

Cite this entry

Palva, J.M. (2014). Phase-Locking Methods. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_418-1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_418-1

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, New York, NY

  • Online ISBN: 978-1-4614-7320-6

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics

Search

Navigation