NatureNeurosciencePeer-reviewed journal article
A survey of spiking activity reveals a functional hierarchy of mouse corticothalamic visual areas
Joshua H. SiegleiD, Xiaoxuan JiaiD, Séverine DurandiD, Samuel D. Gale, Corbett BennettiD, Nile Graddis, Greggory R. HelleriD, Tamina K. RamireziD, Hannah ChoiiD, Jennifer Luviano, Peter A. GroblewskiiD, Ruweida Ahmed, Anton S. ArkhipoviD, Amy BernardiD, Yazan N. BillehiD, Dillan Brown, Michael A. BuiceiD, Nicolas Cain, Shiella CaldejoniD, Linzy Casal, Andrew ChoiD, Maggie M. ChvilicekiD, Timothy C. CoxiD, Kael DaiiD, Daniel J. DenmaniD, , Christof Koch AiD
Abstract
The mammalian visual system, from retina to neocortex, has been extensively studied at both anatomical and functional levels. Anatomy indicates the cortico-thalamic system is hierarchical, but characterization of cellular-level functional interactions across multiple levels of this hierarchy is lacking, partially due to the challenge of simultaneously recording activity across numerous regions. Here, we describe a large, open dataset (part of the Allen Brain Observatory) that surveys spiking from units in six cortical and two thalamic regions responding to a battery of visual stimuli. Using spike cross-correlation analysis, we find that inter-area functional connectivity mirrors the anatomical hierarchy from the Allen Mouse Brain Connectivity Atlas. Classical functional measures of hierarchy, including visual response latency, receptive field size, phase-locking to a drifting grating stimulus, and autocorrelation timescale are all correlated with the anatomical hierarchy. Moreover, recordings during a visual task support the behavioral relevance of hierarchical processing. Overall, this dataset and the hierarchy we describe provide a foundation for understanding coding and dynamics in the mouse cortico-thalamic visual system.
- organism: mouse
- assay: electronic health records
- research focus: benchmarking
- approach: statistical model
- Citations
- 636
- FWCI
- 51.68
- Field percentile
- top 1%
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