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A method for visualizing the morphologies of a large and representative sampling of neurons of a genetically defined type has the potential to fill a hitherto vacant niche in neuro-anatomic analyses of brain structure.
Sampling of neurons for the off-line analysis did not involve any selection criteria other than the responsiveness to visual stimuli.
Random sampling of neurons with varying preferred orientations, with the stimulus orientation fixed, is not an efficient approach with which to investigate the above possibility.
Although claims about changes in neural/synaptic populations must necessarily be made based on a limited sampling of neurons, I am concerned by the fact that the non-significant findings are based on smaller datasets than the reported significant finding.
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Thus, the correlation in Figure 6 could arise from a sample of neurons with different degrees of direction selectivity.
If we average the individual neurons' average Dneuron values, we can estimate the spatial discrimination afforded by our entire sample of neurons.
The average half-widths for tuning in azimuth and elevation for our sample of neurons were 19.9±5.7° in azimuth and 40.8±18.8° in elevation.
Figure 6b, which depicts neurometric functions, shows the reliability with which our sample of neurons can signal changes in source position.
To examine the possibility that SA currents are expressed in neurons derived from high-threshold mechanonociceptors, the activation thresholds for different current types were assessed in a larger sample of neurons (Fig. 4c).
Table 1 indicates the sample of neurons examined in KM.
First, we analyzed an arbitrary sample of neurons, ignoring their laminar positions and their anatomical connectivity.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com