State-dependent geometry of population activity in rat auditory cortex

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State-dependent geometry of population activity in rat auditory cortexAuthor(s)
Date
2019-04-10Citation
Kobak D, Pardo-Vázquez JL, Valente M, Machens CK, Renart A. State-dependent geometry of population activity in rat auditory cortex. eLife. 2019;8:e44526
Abstract
[Abstract] The accuracy of the neural code depends on the relative embedding of signal and noise in the activity of neural populations. Despite a wealth of theoretical work on population codes, there are few empirical characterizations of the high-dimensional signal and noise subspaces. We studied the geometry of population codes in the rat auditory cortex across brain states along the activation-inactivation continuum, using sounds varying in difference and mean level across the ears. As the cortex becomes more activated, single-hemisphere populations go from preferring contralateral loud sounds to a symmetric preference across lateralizations and intensities, gain-modulation effectively disappears, and the signal and noise subspaces become approximately orthogonal to each other and to the direction corresponding to global activity modulations. Level-invariant decoding of sound lateralization also becomes possible in the active state. Our results provide an empirical foundation for the geometry and state-dependence of cortical population codes.
Keywords
Acoustic stimulation
Auditory cortex
Auditory perception
Rats
Auditory cortex
Auditory perception
Rats
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Creative Commons Attribution 4.0 International License (CC-BY 4.0)
ISSN
2050-084X