Abstract
We investigate how frequency convergence governs ITD integration across frequency to understand the physiological representation of likelihood. We examine the tuning properties of midbrain neurons using in vivo extracellular recordings. The preferred ITDs and ITD tuning curve widths were measured at fine resolution in ICx. Consistent with our hypothesis, we found that the non-uniform ITD tuning predicted by the likelihood model is not present at stages in the ITD pathway where neurons do not integrate across frequency. We have also examined the relationship between frequency tuning and ITD tuning. Importantly, we found that the distribution of preferred frequency in ICx also depends on ITD tuning. We are currently testing if the represen
Highlights
The tug of war between expectation and evidence is an intricate problem in perceptual judgments
Consistent with our hypothesis, we found that the non-uniform interaural time differences (ITD) tuning predicted by the likelihood model is not present at stages in the ITD pathway where neurons do not integrate across frequency
We have examined the relationship between frequency tuning and ITD tuning
Summary
The tug of war between expectation and evidence is an intricate problem in perceptual judgments. We investigate how frequency convergence governs ITD integration across frequency to understand the physiological representation of likelihood. We examine the tuning properties of midbrain neurons using in vivo extracellular recordings.
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