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'WTA' (winner-take-all) and 'probabilistic' represent predictions from two decoding models; the dot is the scaling ratio minimizing the number of neurons, and the bars represent the interval within which the neuron number will be no more than 5% higher than the minimum.
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The error bars represent the confidence interval of 99%%.
The error bars represent the confidence interval.
The error bars represent the confidence interval for the position of Sla2-GFP.
The horizontal bars represent the time interval when the target and test stimuli are presented.
Error bars represent the 95% confidence interval.
The vertical bars represent the 95%% confidence interval around the forecasts.
The error bars represent the 95% confidence interval of the multiple runs.
The error bars represent the 95% confidence interval of Welch's statistics.
Means are shown as circles while the bars represent the 95%% confidence interval.
A summary of the results is given in Fig. 3a and 3b; the error bars represent the 95%% confidence interval transformed to percentage.
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