eNeuroNeurosciencePeer-reviewed journal article
Measuring stimulus-evoked neurophysiological differentiation in distinct populations of neurons in mouse visual cortex
William G. P. MayneriD, William Marshall, Yazan N. BillehiD, Saurabh R. GandhiiD, Shiella CaldejoniD, Andrew ChoiD, Fiona GriffiniD, Nicole Hancock, Sophie Lambert, Eric LeeiD, Jennifer Luviano, Kyla D. MaceiD, Chelsea Nayan, Thuyanh V. NguyeniD, Kat North, Sam Seid, Ali WillifordiD, Chiara CirelliiD, Peter A. GroblewskiiD, Jérôme A. LecoqiD, Giulio TononiiD, Christof Koch AiD, Anton S. ArkhipoviD
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Abstract
Despite significant progress in understanding neural coding, it remains unclear how the coordinated activity of large populations of neurons relates to what an observer actually perceives. Since neurophysiological differences must underlie differences among percepts, differentiation analysis--quantifying distinct patterns of neurophysiological activity--is an "inside out" approach that addresses this question. We used two-photon calcium imaging in mice to systematically survey stimulus-evoked neurophysiological differentiation in excitatory populations across 3 cortical layers (L2/3, L4, and L5) in each of 5 visual cortical areas (primary, lateral, anterolateral, posteromedial, and anteromedial) in response to naturalistic and phase-scrambled movie stimuli. We find that unscrambled stimuli evoke greater neurophysiological differentiation than scrambled stimuli specifically in L2/3 of the anterolateral and anteromedial areas, and that this effect is modulated by arousal state and locomotion. Contrariwise, decoding performance was far above chance and did not vary substantially across areas and layers. Differentiation also differed within the unscrambled stimulus set, suggesting that differentiation analysis may be used to probe the ethological relevance of individual stimuli.
- organism: mouse
- assay: imaging
- research focus: cell type annotation
- research focus: differential expression
- research focus: spatial domain detection
- approach: statistical model
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