Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.
Abstract
This study combines for the first time two major approaches to understanding the function
and structure of neural circuits: large-scale multielectrode recordings, and confocal
imaging of labeled neurons. To achieve this end, we develop a novel approach to the
central problem of anatomically identifying recorded cells, based on the electrical
image: the spatiotemporal pattern of voltage deflections induced by spikes on a large-scale,
high-density multielectrode array. Recordings were performed from identified ganglion
cell types in the macaque retina. Anatomical images of cells in the same preparation
were obtained using virally transfected fluorescent labeling or by immunolabeling
after fixation. The electrical image was then used to locate recorded cell somas,
axon initial segments, and axon trajectories, and these signatures were used to identify
recorded cells. Comparison of anatomical and physiological measurements permitted
visualization and physiological characterization of numerically dominant ganglion
cell types with high efficiency in a single preparation.
Type
Journal articleSubject
ganglion cellsimmunohistochemistry
morphology
multielectrode array
retina
viral transfection
Action Potentials
Animals
Extracellular Fluid
Female
Macaca fascicularis
Macaca mulatta
Macaca radiata
Male
Microelectrodes
Photic Stimulation
Random Allocation
Retina
Retinal Ganglion Cells
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https://hdl.handle.net/10161/9723Published Version (Please cite this version)
10.1523/JNEUROSCI.3675-14.2015Publication Info
Li, Peter H; Gauthier, Jeffrey L; Schiff, Max; Sher, Alexander; Ahn, Daniel; Field,
Greg D; ... Chichilnisky, EJ (2015). Anatomical identification of extracellularly recorded cells in large-scale multielectrode
recordings. J Neurosci, 35(11). pp. 4663-4675. 10.1523/JNEUROSCI.3675-14.2015. Retrieved from https://hdl.handle.net/10161/9723.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Greg D. Field
Associate Professor of Neurobiology
My laboratory studies how the retina processes visual scenes and transmits this information
to the brain. We use multi-electrode arrays to record the activity of hundreds of
retina neurons simultaneously in conjunction with transgenic mouse lines and chemogenetics
to manipulate neural circuit function. We are interested in three major areas. First,
we work to understand how neurons in the retina are functionally connected. Second
we are studying how light-adaptation and circadian rhythms a
Max Schiff
Assistant Professor of Psychiatry and Behavioral Sciences
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