Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.
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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.
Retinal Ganglion Cells
Published Version (Please cite this version)10.1523/JNEUROSCI.3675-14.2015
Publication InfoAhn, D; Callaway, EM; Chichilnisky, EJ; Field, Greg; Gauthier, JL; Greschner, M; ... Sher, A (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 http://hdl.handle.net/10161/9723.
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Assistant 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