Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays

Frontiers in Neuroinformatics
Jens-Oliver MuthmannMatthias H Hennig

Abstract

An emerging generation of high-density microelectrode arrays (MEAs) is now capable of recording spiking activity simultaneously from thousands of neurons with closely spaced electrodes. Reliable spike detection and analysis in such recordings is challenging due to the large amount of raw data and the dense sampling of spikes with closely spaced electrodes. Here, we present a highly efficient, online capable spike detection algorithm, and an offline method with improved detection rates, which enables estimation of spatial event locations at a resolution higher than that provided by the array by combining information from multiple electrodes. Data acquired with a 4096 channel MEA from neuronal cultures and the neonatal retina, as well as synthetic data, was used to test and validate these methods. We demonstrate that these algorithms outperform conventional methods due to a better noise estimate and an improved signal-to-noise ratio (SNR) through combining information from multiple electrodes. Finally, we present a new approach for analyzing population activity based on the characterization of the spatio-temporal event profile, which does not require the isolation of single units. Overall, we show how the improved spatial resolut...Continue Reading

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Citations

Mar 9, 2017·Cell Reports·Gerrit HilgenMatthias H Hennig
Sep 13, 2018·Journal of Neurophysiology·Roland DiggelmannFelix Franke
Jun 25, 2016·Scientific Reports·R VeerabhadrappaA Bhatti
Dec 25, 2018·Frontiers in Cellular Neuroscience·Jonathan JoutyMatthias H Hennig

Related Concepts

Brain
Ion Channel
Microelectrodes
Neurons
Retina
Spatial Distribution
Laboratory Culture
Location
Analysis
Neural Stem Cells

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