Sciweavers

IJON
2002

Test of spike-sorting algorithms on the basis of simulated network data

13 years 11 months ago
Test of spike-sorting algorithms on the basis of simulated network data
: Results of spike sorting algorithms are usually compared against recorded signals which themselves underly interpretations, distortions and errors. Our approach is to provide and compare physiological extracellular potential data by a realistic cortical network simulation. For this purpose, we utilize the neural simulator GENESIS and simulate a region of cortex containing 90 cells. We are able to "record" simulated extracellular potentials from "virtual electrodes" and produce test data closely resembling multisite neuronal recordings. Our realisitic, artificial data is complex and almost natural in appearance, however current spike detection schemes appear unable to reliably detect all spikes produced.
Kerstin M. L. Menne, Andre Folkers, Thomas Malina,
Added 22 Dec 2010
Updated 22 Dec 2010
Type Journal
Year 2002
Where IJON
Authors Kerstin M. L. Menne, Andre Folkers, Thomas Malina, Reinoud Maex, Ulrich G. Hofmann
Comments (0)