Anatomical identification of extracellularly recorded cells in large-scale multielectrode recordings.

Journal Article (Journal Article)

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.

Full Text

Duke Authors

Cited Authors

  • Li, PH; Gauthier, JL; Schiff, M; Sher, A; Ahn, D; Field, GD; Greschner, M; Callaway, EM; Litke, AM; Chichilnisky, EJ

Published Date

  • March 18, 2015

Published In

Volume / Issue

  • 35 / 11

Start / End Page

  • 4663 - 4675

PubMed ID

  • 25788683

Pubmed Central ID

  • PMC4363392

Electronic International Standard Serial Number (EISSN)

  • 1529-2401

Digital Object Identifier (DOI)

  • 10.1523/JNEUROSCI.3675-14.2015


  • eng

Conference Location

  • United States