Data

Dataset # 1: Human single-neuron responses to associated items

Rey et al, "Encoding of long-term associations through neural unitization in the human medial temporal lobe", Nat. Commun. 2018

File 'Reyetal_NatComm_dataset.mat' is a Matlab file with the response dataset associated to this paper. The data can be downloaded from:

https://doi.org/10.25392/leicester.data.8796335.v1

Dataset # 2: Human single-neuron responses to pictures and names of persons

Rey et al, "Single neuron coding of identity in the human hippocampal formation", Curr. Biol. 2020

File 'Reyetal_CB_dataset.mat' has the response dataset associated to this paper. The data can be downloaded from:

https://doi.org/10.25392/leicester.data.11527983.v1

Dataset # 3: Example of continuous human single-neuron recordings to test spike-sorting algorithms

Quian Quiroga et al, "Unsupervised spike sorting with wavelets and superparamagnetic clustering", Neural Comput. 2004

Try wave_clus for spike detection and sorting of this data.

Download file (74Mb .zip) [links to University of Leicester's repository]

Dataset # 4: Simulated extracellular recordings

These simulated datasets are described in:
Unsupervised spike detection and sorting with wavelets and superparamagnetic clustering.

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 # 5: Simulated extracellular recordings

These simulated datasets are described in:
Realistic simulation of extracellular recordings.

This dataset contains five simulations of 2' including the activity of one multi-unit and two single-units for different firing rates and signal-to-noise ratio levels.

Simulation 1 (22Mb)
Simulation 2 (22Mb)
Simulation 3 (22Mb)
Simulation 4 (22Mb)
Simulation 5 (22Mb)

Dataset # 6: EEG signals from rats

Each example contains 5 sec of a two-channel EEG recording at 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 corresponds 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.

Download files:

example_a.asc

example_b.asc

example_c.asc

example_d.asc

example_e.asc

Details on the recordings as well as on the physiological results can be obtained from:
The reticular thalamic nucleus is involved in left-right EEG synchronization.

The first datasets were analyzed in the paper:
Performance of different synchronization measures in real data: a case study on electroencephalographic signals.

and the last two were also analyzed in:
Event synchronization: a simple a fast method to measure synchronicity and time delay patterns.

Dataset # 7: 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.

Download files:

cg_olt.asc (30 trials) 
ja_olt.asc (16 trials)

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.

Moreover, we show a time-frequency analysis of evoked potentials using Wavelets in:
Functions and sources of evoked EEG alpha oscillations studied with the Wavelet Transform

and in:

Wavelet Transform in the analysis of the frequency composition of evoked potentials.

and we show the application of an entropy defined from the distribution of wavelet coefficients in:
Wavelet-entropy: a measure of order in evoked potentials.

and in:
Wavelet entropy in event-related potentials: a new method shows frequency tuning of EEG-oscillations.

Dataset # 8: Tonic-clonic (Grand Mal) seizures

These files show tonic-clonic seizures of two subjects recorded with a scalp right 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).

Download files:

130-2_c4.asc
130-3_c4.asc

A time-frequency analysis of these type of seizures was done in:
Searching for Hidden Information with Gabor Transform in Generalized Tonic-Clonic Seizures

and in:
Frequency evolution during tonic-clonic seizures.
in press

Dataset # 9: 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 Bonn, Germany. Each data set contains 100 single channel EEG segments of 23.6 sec duration. The data can be downloaded from:

http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html

A study of non-linear determinism of this data has been published in Phys. Rev. E (follow the link from the previous address).

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Centre for Systems Neuroscience

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