Abstract
On the basis of the recent discovery that precisely replicating triplets of impulses present in All-Interval histograms of spike trains generated by visual cortex cells of Rhesus monkeys are surrounded by multiple copies of “ghost doublets” of such triplets, we have examined and compared in detail, the spike trains generated by four complex cells in the striate cortex of curarized monkeys with respect to: (1) The number of precisely replicating triplet patterns embedded in trains of discharges generated in response to specific Hubel-Wiesel stimulation; (2) The effect of time separating the occurrence of such replicating triplets on the number and time distribution of their ghost doublets; (3) The effect of decreasing the precision criterion for the detection of replicating (parent) triplets (from the standard 0.14 ms criterion to 0.5 ms) on the relationships between triplets and their ghosts and (4) The comparison of the distributions in time of ghost doublets around the first and second copies of triplets when the time intervals separating them were greater than or less than 0.5 s. We found that the precision of replication of triplets varies somewhat from one cell to another, and that ghosts doublets are more copiously associated with replicating triplets emitted near in time to each other than with triplets emitted after larger time intervals, except in the case of one cell. In order to assess the statistical significance of our findings, we systematically shuffled the order of occurrence of intervals in every burst of all the records of one of the studied cells and repeated the analysis. Both the number of replicating triplets and of associated ghost doublets is significantly depressed (but not totally obliterated) by the above shuffling procedure. Finally, further implications based on a model of neural information transmission in the form of temporal correlations between spikes are discussed.
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Lestienne, R., Strehler, B.L. Differences between monkey visual cortex cells in triplet and ghost doublet informational symbols relationships. Biol. Cybern. 59, 337–352 (1988). https://doi.org/10.1007/BF00332924
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DOI: https://doi.org/10.1007/BF00332924