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Training and validation of the weighting models were based on ten-fold cross-validation using a novel and broadly applicable data spiking strategy described in later sections.
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We devised an optogenetic spike-sorting strategy to distinguish spikes of the Or42a OSN from other spikes (Lima et al., 2009).
With the use of an optogenetic spike-sorting strategy we identified the spikes originating from the Or42a OSN expressing channelrhodopsin (ChR2) (denoted as ' Or42a>ChR2 Or42a>ChR2
Thorpe, S., Delrome, A. & van Rullen, R. Spike-based strategies for rapid processing.
Searching for optimal spike detection strategies has therefore been the focus of many studies over the past two decades.
Oinas thinks the threat of price spikes is a strategy but confesses to not knowing how the game works.
We will next perform some additional calculations that can provide estimates of numbers of spikes resulting from any strategy, which can be used with a minimum of calculation to compare the results of particular input sequences.
For an initial input G i > − 2 b, we estimate the number of spikes for such a strategy using a similar approach to that used in Section 2.4, breaking up the estimate into an initial period of decay of g, a period of kicks to keep g near − 2 b, and a final period of spiking until g drops below g ˆ.
As a general strategy, the spike responses of neurons are to be analyzed in relation to the input that was presented to the neuron and processed into a specific output firing pattern.
This strategy provides a spike code, thanks to a rank order coding scheme which offers an alternative to the classical spike frequency coding scheme.
We now estimate the numbers of spikes Ω fired for each strategy of this type.
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