Bio-inspired benchmark generator for extracellular multi-unit recordings.

ABSTRACT: The analysis of multi-unit extracellular recordings of brain activity has led to the development of numerous tools, ranging from signal processing algorithms to electronic devices and applications. Currently, the evaluation and optimisation of these tools are hampered by the lack of ground-truth databases of neural signals. These databases must be parameterisable, easy to generate and bio-inspired, i.e. containing features encountered in real electrophysiological recording sessions. Towards that end, this article introduces an original computational approach to create fully annotated and parameterised benchmark datasets, generated from the summation of three components: neural signals from compartmental models and recorded extracellular spikes, non-stationary slow oscillations, and a varie

SUBMITTER: Mondragon-Gonzalez SL 

PROVIDER: S-EPMC5324125 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature