Journal club presentation by M.Zarei

Unbiased and robust quantification of synchronization between spikes and local field potential

Link to paper
Zhaohui Li, Dong Cui, Xiaoli Li


In neuroscience, relating the spiking activity of individual neurons to the local field potential (LFP) of neural ensembles is an increasingly useful approach for studying rhythmic neuronal synchronization. Many methods have been proposed to measure the strength of the association between spikes and rhythms in the LFP recordings, and most existing measures are dependent upon the total number of spikes.In the present work, we introduce a robust approach for quantifying spike–LFP synchronization which performs reliably for limited samples of data. The measure is termed as spike-triggered correlation matrix synchronization (SCMS), which takes LFP segments centered on each spike as multi-channel signals and calculates the index of spike–LFP synchronization by constructing a correlation matrix.The simulation based on artificial data shows that the SCMS output almost does not change with the sample size. This property is of crucial importance when making comparisons between different experimental conditions. When applied to actual neuronal data recorded from the monkey primary visual cortex, it is found that the spike–LFP synchronization strength shows orientation selectivity to drifting gratings.In comparison to another unbiased method, pairwise phase consistency (PPC), the proposed SCMS behaves better for noisy spike trains by means of numerical simulations.This study demonstrates the basic idea and calculating process of the SCMS method. Considering its unbiasedness and robustness, the measure is of great advantage to characterize the synchronization between spike trains and rhythms present in LFP.


About This Event

Start date05/30/2018 10:00
End date05/30/2018 12:00



  • unnamed

    Mini-symposium Held at IUST

    In July, 2017 we held a one-day mini-symposium at IUST, for the interchange of scientific expertise and findings between different projects of the our lab and external collaborating teams. The lectures were organized in two panels: Invited talks (given by principle investigators cooperating with our lab) and Project presentations (delivered by PhD students). Topics ranging all the way from the dynamics of neural coding in primate brain to computational approaches in modeling the neural system were covered through these lectures. Importantly we had the honor to host Dr. Fatemeh Bakouie (Shahid Beheshti University), Dr. Zeinab Fazlali (IPM School of Cognitive Sciences), Prof. Dr. Shahriyar Gharibzadeh (Amirkabir University of Technology) and Dr. Marzieh Zare (IPM School of Computer Sciences), to present their ongoing research lines in the symposium.
  • 20160914_192500

    The surgery center has been launched in the Cognitive Neurobiology Lab

    We are pleased to announce that on Sep 2016, we launched a non-human primate surgery center in IPM School of Cognitive Sciences. The surgery room is equipped with the most modern equipment enabling primate neuroscientists to carry out the most sophisticated brain surgeries. These surgeries are aimed at implanting either fixation or neural implants. Facilities such as accurate human-level monitoring and anesthesia systems enable us to carry out surgeries with the highest standards of animal welfare.
  • F. Zareayan’s winning support to attend FENS 2016

    Fatemeh Zareayan won the prize to attend the 10th Forum of Neuroscience Conference to be held in Copenhagen July 2-6, 2016 from the Iranian Cognitive Sciences and Technologies Council

  • PhD defence

    "Moein Esghaei successfully defended his thesis at IPM. His thesis addressed the role of low frequency oscillatory activities of brain in the process of selective attention."