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The second model posits the existence of only two neural channels, each broadly tuned to interaural cue values favoring one acoustic hemifield, so that, especially for sources near the midline, cue value and therefore source azimuth is encoded by the relative activation of the two neural populations.
The spatial ambiguity in interpreting cue values arises because most cue values are produced by sounds from many different locations.
We dichotomised the non-binary cue values in order to count the number of positive cues for each case vignette.
This we suggest impaired an ability to compare cue values in novel pairings, in other words to generalize from learnt information.
For this reason, we presented animals with very large cue values that were easy to distinguish between (Keating et al., 2013b).
Earplugs delay and attenuate sounds in a frequency-dependent manner [ 15 17], altering the spatial cue values corresponding to each direction in space while preserving the monaural spatial cues available to the nonoccluded ear.
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One model advocates a population of neurons narrowly tuned to different interaural disparity values across the behaviorally relevant range, so that the cue value, and therefore the source azimuth, is represented by which neurons of the array are activated by the stimulus.
At the neural level, this improved performance in the ON medication state was associated with enhanced nucleus accumbens and ventromedial prefrontal cortex activity for the chosen cue value, an effect that was absent in the OFF medication state.
To quantify the sensitivity of A1 neurons to different cues, we counted the number of spikes that occurred on each trial within a time window that spanned the neural response and used these data to produce joint distributions of spike count and cue value.
Thus, the improved performance in patients ON medication cannot solely be attributed to an effect on learning and must reflect some other effect of dopamine, perhaps Pavlovian appetitive approach or a modulation of the motivational impact of cues associated with improved neural representation of cue value in a high dopamine state.
We also cannot discount the fact that there might remain some residual activity within the dopaminergic system of patients with Parkinson's disease, resulting in adequate levels of dopamine to signal reward prediction errors in some structures, but not enough to form adequate cue value representations to allow successful generalization in those, or other, structures.
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