A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis.

@article{RomcyPereira2008ASA,
  title={A semi-automated algorithm for studying neuronal oscillatory patterns: a wavelet-based time frequency and coherence analysis.},
  author={Rodrigo Neves Romcy-Pereira and Dr{\'a}ulio Barros de Ara{\'u}jo and Joao Pereira Leite and Norberto Garcia-Cairasco},
  journal={Journal of neuroscience methods},
  year={2008},
  volume={167 2},
  pages={384-92}
}
In many experimental designs, animal observation is associated with local field potential (LFP) recordings in order to find correlations between behavior dynamics and neuronal activity. In such cases, relevant behaviors can occur at different times during free-running recordings and should be put together by the time of analysis. Here, we developed a MATLAB semi-automated toolbox to quantitatively analyze the temporal progression of brain oscillatory activity in multiple free-running LFP… CONTINUE READING
12 Citations
18 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 18 references

The role of neural synchronization in the emergence of cognition across the wake - sleep cycle

  • JL antero, M Atienza
  • Rev Neurosci
  • 2005

Independent component analysis as a tool to eliminate artifacts in EEG : a quantitative study

  • J riarte, E Urrestarazu, M Valencia, M Alegre, A Malanda, C Viteri
  • J Clin Neurophysiol
  • 2003

Quantitative study of the response to genetic selection of the Wistar audiogenic rat strain ( WAR )

  • MC oretto, CG Fonseca, RB Lobo, VC Terra, JA Oliveira, N Garcia-Cairasco
  • Behav Genet
  • 2003

Similar Papers

Loading similar papers…