Survey of spiking in the mouse visual system reveals functional hierarchy
Top Cited Papers
- 20 January 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Nature
- Vol. 592 (7852), 86-92
- https://doi.org/10.1038/s41586-020-03171-x
Abstract
The anatomy of the mammalian visual system, from the retina to the neocortex, is organized hierarchically1. However, direct observation of cellular-level functional interactions across this hierarchy is lacking due to the challenge of simultaneously recording activity across numerous regions. Here we describe a large, open dataset—part of the Allen Brain Observatory2—that surveys spiking from tens of thousands of units in six cortical and two thalamic regions in the brains of mice responding to a battery of visual stimuli. Using cross-correlation analysis, we reveal that the organization of inter-area functional connectivity during visual stimulation mirrors the anatomical hierarchy from the Allen Mouse Brain Connectivity Atlas3. We find that four classical hierarchical measures—response latency, receptive-field size, phase-locking to drifting gratings and response decay timescale—are all correlated with the hierarchy. Moreover, recordings obtained during a visual task reveal that the correlation between neural activity and behavioural choice also increases along the hierarchy. Our study provides a foundation for understanding coding and signal propagation across hierarchically organized cortical and thalamic visual areas.Keywords
This publication has 84 references indexed in Scilit:
- Design and Implementation of a Custom Built Optical Projection Tomography SystemPLOS ONE, 2013
- Microbial Translocation Contribute to Febrile Episodes in Adults with Chemotherapy-Induced NeutropeniaPLOS ONE, 2013
- Network Analysis of Corticocortical Connections Reveals Ventral and Dorsal Processing Streams in Mouse Visual CortexJournal of Neuroscience, 2012
- A toolbox of Cre-dependent optogenetic transgenic mice for light-induced activation and silencingNature Neuroscience, 2012
- Quality Metrics to Accompany Spike Sorting of Extracellular SignalsJournal of Neuroscience, 2011
- PINP: A New Method of Tagging Neuronal Populations for Identification during In Vivo Electrophysiological RecordingPLOS ONE, 2009
- A Rate and History-Preserving Resampling Algorithm for Neural Spike TrainsNeural Computation, 2009
- Spatial and Temporal Scales of Neuronal Correlation in Primary Visual CortexJournal of Neuroscience, 2008
- PsychoPy—Psychophysics software in PythonJournal of Neuroscience Methods, 2007
- Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortexIEEE Transactions on Neural Systems and Rehabilitation Engineering, 2005