August 20-24, 2008
  Vancouver, British Columbia

30th IEEE EMBS Annual International Conference


EMBC'08 Paper Abstract


Paper SaBPo08.1

Cerquera, Alexander (Carl von Ossietzky Univ of Oldenburg), Greschner, Martin (The Salk Institute for Biological Studies), Freund, Jan A. (University of Oldenburg)

Classifying the Motion of Visual Stimuli from the Spike Response of a Population of Retinal Ganglion Cells

Scheduled for presentation during the Poster Session "Biological Systems Networks" (SaBPo08), Saturday, August 23, 2008, 10:30−12:00, Exhibit Hall C

30th Annual International IEEE EMBS Conference, August 20-24, 2008, Vancouver, British Columbia, Canada

This information is tentative and subject to change. Compiled on July 30, 2021

Keywords Biological systems networks


We present an analysis of the spike response of a retinal ganglion cell ensemble. The retina of a turtle was stimulated in vitro by moving light patterns. Its non-steady motion was specified by two features: changes of direction and changes of speed. The spike response of a ganglion cell population was recorded extracellularly with a multielectrode array and responding neurons were identified through spike sorting. Restricting further analysis to a time window of greatest firing activity, we selected a subset of cells with reliable firing patterns, excluding cells that were not selective to the stimulus. The reliability of a firing pattern was assessed on the single cell level in terms of two measures: temporal precision (jitter) of the first spike and the fraction of trials in which a spike was generated. We then condensed the spike response of the extracted group by merging the multivariate spike trains into a single spike train. Finally, we compared different coding hypotheses that are based on the timing of the first and the second spike of the population or the spike count in the preselected time window. We found that the second spike of the population significantly increases the classification efficiency beyond that of the first spike. Moreover, the combination of first plus second spike is comparably efficient as the combination of the first spike plus the spike count but allows for a classification that is much faster.



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