Rodrigo Quian Quiroga – EEG, ERP and single cell recordings database
Dataset # 1: Human single-cell recording
This example is a 30’ multiunit recording in the medial temporal lobe of an epileptic patient from Itzhak Fried’s lab at UCLA. Try wave_clus for spike detection and sorting of this data.
Dataset # 2: Simulated extracellular recordings
These simulated datasets are described in:
R. Quian Quiroga, Z. Nadasdy and Y. Ben-Shaul
Neural Computation 16, 1661-1687; 2004.
where they were used for testing the spike sorting algorithm. You should be able to reproduce the results of the paper and, eventually, compare wave_clus with other spike sorting algorithms.
Dataset # 3: EEG signals from rats
Each example contains 5 sec of a two-channel EEG recording at the left and right frontal cortex of male adult WAG/Rij rats. Signals were referenced to an electrode placed at the cerebelum, they were filtered between 1-100 Hz and digitized at 200 Hz. Example A correspond to a normal EEG and examples B, C, D and E contain spike-wave discharges.
We thank Giles van Luijtelaar and Joyce Welting for allowing their distribution.
Details on the recordings as well as on the physiological results can be
The reticular thalamic nucleus is involved in left-right EEG synchronization.
van Luijtelaar ELJM, Welting J and Quian Quiroga R.
in: Sleep-Wake research in the
The first three datasets were analysed in the paper:
Performance of different synchronization measures in real data: a case study on electroencephalographic signals.
Quian Quiroga R, Kraskov A, Kreuz T and Grassberger P.
Phys. Rev. E, 2002; 65: 041903.
and the last two were also analyzed in:
Event synchronization: a simple a fast method to measure synchronicity and time delay patterns.
Quian Quiroga R. T. Kreuz and Grassberger P
Phys. Rev. E, in press.
Dataset # 4: Pattern visual evoked potentials.
Each file corresponds to the recording on a different subject in the left occipital electrode (O1), with linked earlobes reference. Each file contains several artifact-free trials, each of them containing 512 data points (256 pre- and 256 post-stimulation) stored with a sampling frequency of 250 Hz. Trials are stored consecutively in a 1 column file. Data was pre-filtered in the range 0.1-70Hz. All trials correspond to target stimulation with an oddball paradigm (see the papers for details).
We thanks Martin Schuermann for allowing their distribution.
These files were used for showing a denoising implementation that helps to
visualize single-trial evoked potentials in:
Obtaining single trial EPs with wavelet denoising.
Quian Quiroga R.
Physica D, 145: 278-292 (2000) .
Moreover, we show a time-frequency analysis of evoked potentials using Wavelets in:
and sources of evoked EEG alpha oscillations studied with the Wavelet Transform
R. Quian Quiroga and M Schürmann
Clin. Neurophysiol., 1999; 110: 643-654.
in the analysis of the frequency composition of evoked potentials.
R. Quian Quiroga, O. Sakowicz, E. Basar and M. Schürmann.
Brain Research Protocols, 8: 16-24; 2001. Erratum: in fig.1, upsampling should precede convolution with G' and H'.
and we show the application of an entropy defined from the distribution of wavelet coefficients in:
a measure of order in evoked potentials.
R. Quian Quiroga, O Rosso and E Basar
Electr. Clin. Neurophysiol. (Suppl.), 1999; 49: 298-302.
entropy in event-related potentials: a new method shows frequency tuning of
Quian Quiroga R, Rosso O, Schürmann M and Basar E.
Biological Cybernetics, 2001; 84: 291-299.
Dataset # 5: Tonic-clonic (Grand Mal) seizures.
These files show tonic-clonic seizures of two subjects recorded with a scalp rigth central (C4) electrode (linked earlobes reference). It contains a total of 3 minutes with about 1 min pre-seizure, the seizure and some post-seizure activity. Sampling rate is 102.4 Hz (see the papers for more details).
A time-frequency analysis of these type of seizures was done in:
Hidden Information with Gabor Transform in Generalized Tonic-Clonic Seizures
Quian Quiroga R., Blanco S., Rosso O., Garcia H. and Rabinowicz A.
Electroenceph. and Clin. Neurophysiol., 1997; 103: 434-439.
evolution during tonic-clonic seizures.
Quian Quiroga R., Garcia H and Rabinowicz A
Electromyography and Clinical Neurophysiology, in press
Dataset # 6: Ongoing EEG activity.
Five data sets containing quasi-stationary, artifact-free EEG signals both
in normal subjects and epileptic patients were put in the web by Ralph
Andrzejak from the Epilepsy center in
A study of non-linear determinism of this data has been published in Phys. Rev. E (follow the link from the previous address).