Published September 11, 2017 | Version v1
Dataset Open

MB2017: Artificial spiking neural data with ground truth

Creators

  • 1. CEA, Inserm, Univ Grenoble Alpes
  • 2. Inserm, Univ Grenoble Alpes

Description

This dataset comprises simulated extracellular spiking neural signals, for which the activity of the active neurons is known. These data can thus be used to test spike sorting algorithms.

This dataset has been generated for the study reported in:

Bernert M, Yvert B (2018) An attention-based spiking neural network for unsupervised spike-sorting. International Journal of Neural Systems, https://doi.org/10.1142/S0129065718500594

Please cite this paper as a reference.

Files

artificial_data_different_noise_levels.zip

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Additional details

Funding

BrainCom – High-density cortical implants for cognitive neuroscience and rehabilitation of speech using brain-computer interfaces. 732032
European Commission