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

Files (2.2 GB)

Name Size Download all
md5:0d6ad34f20542f37db09109fb165d6b6
2.2 GB Preview Download
md5:2867ec8411d1b6edae3fe0b37f172504
30.9 MB Download
md5:08b84400a35998e949ec7b07256f92ab
30.8 MB Download
md5:f4e7d37f6f7ab41199e6364c9ad20a53
1.1 kB Preview Download

Additional details

Funding

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