Robust spike sorting of retinal ganglion cells tuned to spot stimuli
| Autor: | Alireza Ghahari, Tudor C. Badea |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
0301 basic medicine
Retinal Ganglion Cells Computer science Action Potentials Retinal ganglion Article 03 medical and health sciences 0302 clinical medicine Robustness (computer science) sort Cluster Analysis Humans Cluster analysis Quantitative Biology::Neurons and Cognition business.industry Sorting Reproducibility of Results Pattern recognition Signal Processing Computer-Assisted Hierarchical clustering Maxima and minima 030104 developmental biology Spike sorting Artificial intelligence business 030217 neurology & neurosurgery Algorithms |
| Zdroj: | EMBC |
| Popis: | We propose an automatic spike sorting approach for the data recorded from a microelectrode array during visual stimulation of wild type retinas with 25 spot stimuli. The approach first detects individual spikes per electrode by their signature local minima. With the mixture probability distribution of the local minima estimated afterwards, it applies a minimum-squared-error clustering algorithm to sort the spikes into different clusters. A template waveform for each cluster per electrode is defined, and a number of reliability tests are performed on it and its corresponding spikes. Finally, a divisive hierarchical clustering algorithm is used to deal with the correlated templates per cluster type across all the electrodes. According to the measures of performance of the spike sorting approach, it is very robust even in the cases of recordings with low signal-to-noise ratio. |
| Databáze: | OpenAIRE |
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