Spike Detection for Large Neural Populations Using High Density Multielectrode Arrays.

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 me

SUBMITTER: Muthmann JO 

PROVIDER: S-EPMC4683190 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature