Definitions
Sequences of events that repeat several times are called precise spatiotemporal patterns. The number of participating events is called the complexity of the patterns. The time precision with which the delays are measured is called the time accuracy of the pattern.
Examples
Suppose we have three parallel point processes (e.g., times of spiking of three neurons), among them, we find repeatedly an event from process A followed after t1 seconds by an event from B and after t2 seconds by an event from C, then the composite event
A
|__t1__B
|____t2___C
is called a precise spatiotemporal pattern and may be coded <A, B, C ; t1, t2>. Its complexity is 3.
If t1 and t2 are taken at infinite resolution, the probability of observing it twice is zero. Therefore, some time accuracy (Δt) is associated with the pattern such that B occurred at [t1 ± Δt/2] after A and C at [t2 ± Δt/2] after A. Figure 1 illustrates such a precise spatiotemporal pattern.
Variations
In some works the value of Δt...
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References
Abeles M (1982) Local cortical circuits: an electrophysiological study. Springer, Berlin/Heidelberg/New York, pp 57–75
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Further Reading
Abeles M (1991) Corticonics: neural circuits of the cerebral cortex. Cambridge University Press, Cambridge/New York/Port Chester/Melbourne/Sydney
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Abeles, M. (2014). Spatial Temporal Spike Pattern Analysis. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_405-1
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DOI: https://doi.org/10.1007/978-1-4614-7320-6_405-1
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