Skip to main content
. Author manuscript; available in PMC: 2011 May 17.
Published in final edited form as: J Neurosci. 2010 Nov 17;30(46):15566–15572. doi: 10.1523/JNEUROSCI.3672-10.2010

FIG. 3.

FIG. 3

The network performs well for different durations, and performs better on more reliable and sparser inputs. A: Model performance (%) versus stimulus duration trained (each recording in gray, mean across sites in black). B–C: There was a strong relationship between input spike train reliability and chain recognition model performance (B; R = 0.514, p = 0.005, linear fit in dashed black), and between sparseness and performance (C; R = 0.639, p < 0.001, linear fit in dashed black). D: Normalized model recognition error (y axis; 0% is baseline performance, −100% is no songs recognized correctly) for each site (in light gray; mean in black) increased with increasing percent of input spike train corruption, both for shuffling spike times (left) and deleting spikes (right) for different amounts of time (x axis). The average syllable duration for a zebra finch song (94.5 ms) is shown in dashed black.