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• W2908977684 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 characterisations 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 lateralisations 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 lateralisation also becomes possible in the active state. Our results provide an empirical foundation for the geometry and state-dependence of cortical population codes." @default.
• W2908977684 created "2019-01-25" @default.
• W2908977684 creator A5024613131 @default.
• W2908977684 creator A5024887903 @default.
• W2908977684 creator A5045223218 @default.
• W2908977684 creator A5057372129 @default.
• W2908977684 creator A5088343623 @default.
• W2908977684 date "2018-12-19" @default.
• W2908977684 modified "2023-09-23" @default.
• W2908977684 title "State-dependent geometry of population activity in rat auditory cortex" @default.
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