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This equation represents the likelihood function for observing a population response R for the presented stimulus θ0 with known mean tuning characteristics r i (θ0) (here x i T represents the number of spikes fired by neuron i during the reading time of the neuronal population).
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Finally, Fig. 6I shows the mean change in tuning characteristics caused by noise as indexed in the 80% dynamic range for monotonic functions and in width for non-monotonic functions.
The insert shows the linearly fit tuning characteristics of the lasing frequency with temperature.
Figure 2E shows the mean tuning curves for all 161 cells in the dataset.
Their response properties and tuning characteristics are discussed.
Cells are ordered by the mean tuning to maximum touch curvature.
These studies report timing and tuning characteristics for V1 neurons that would enable them to subserve this purpose.
Inspection of the mean tuning factors did reveal a trend for ψ ¯ to decline with increasing K.
Figure 1c represents the required C tune –V tune response in (3) in order to achieve the linear output frequency tuning characteristic shown in Fig. 1b for several parasitic capacitances (C p ).
a Perspective view, b tunable C V tune characteristic with respect to V curve-control.
Table 1 presents the mean sample characteristics.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com