Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex

DSpace/Manakin Repository

Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex

Citable link to this page

 

 
Title: Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex
Author: Sloas, David C.; Zhuo, Ran; Xue, Hongbo; Chambers, Anna R.; Kolaczyk, Eric; Polley, Daniel B.; Sen, Kamal

Note: Order does not necessarily reflect citation order of authors.

Citation: Sloas, David C., Ran Zhuo, Hongbo Xue, Anna R. Chambers, Eric Kolaczyk, Daniel B. Polley, and Kamal Sen. 2016. “Interactions across Multiple Stimulus Dimensions in Primary Auditory Cortex.” eNeuro 3 (4): ENEURO.0124-16.2016. doi:10.1523/ENEURO.0124-16.2016. http://dx.doi.org/10.1523/ENEURO.0124-16.2016.
Full Text & Related Files:
Abstract: Although sensory cortex is thought to be important for the perception of complex objects, its specific role in representing complex stimuli remains unknown. Complex objects are rich in information along multiple stimulus dimensions. The position of cortex in the sensory hierarchy suggests that cortical neurons may integrate across these dimensions to form a more gestalt representation of auditory objects. Yet, studies of cortical neurons typically explore single or few dimensions due to the difficulty of determining optimal stimuli in a high dimensional stimulus space. Evolutionary algorithms (EAs) provide a potentially powerful approach for exploring multidimensional stimulus spaces based on real-time spike feedback, but two important issues arise in their application. First, it is unclear whether it is necessary to characterize cortical responses to multidimensional stimuli or whether it suffices to characterize cortical responses to a single dimension at a time. Second, quantitative methods for analyzing complex multidimensional data from an EA are lacking. Here, we apply a statistical method for nonlinear regression, the generalized additive model (GAM), to address these issues. The GAM quantitatively describes the dependence between neural response and all stimulus dimensions. We find that auditory cortical neurons in mice are sensitive to interactions across dimensions. These interactions are diverse across the population, indicating significant integration across stimulus dimensions in auditory cortex. This result strongly motivates using multidimensional stimuli in auditory cortex. Together, the EA and the GAM provide a novel quantitative paradigm for investigating neural coding of complex multidimensional stimuli in auditory and other sensory cortices.
Published Version: doi:10.1523/ENEURO.0124-16.2016
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5008244/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:29407733
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters