Literature DB >> 8189755

Multi-neuronal signals from the retina: acquisition and analysis.

M Meister1, J Pine, D A Baylor.   

Abstract

Throughout the central nervous system, information about the outside world is represented collectively by large groups of cells, often arranged in a series of 2-dimensional maps connected by tracts with many fibers. To understand how such a circuit encodes and processes information, one must simultaneously observe the signals carried by many of its cells. This article describes a new method for monitoring the simultaneous electrical activity of many neurons in a functioning piece of retina. Extracellular action potentials are recorded with a planar array of 61 microelectrodes, which provides a natural match to the flat mosaic of retinal ganglion cells. The voltage signals are processed in real time to extract the spike trains from up to 100 neurons. We also present a method of visual stimulation and data analysis that allows a rapid characterization of each neuron's visual response properties. A randomly flickering display is used to elicit spike trains from the ganglion cell population. Analysis of the correlations between each spike train and the flicker stimulus results in a simple description of each ganglion cell's functional properties. The combination of these tools will allow detailed study of how the population of optic nerve fibers encodes a visual scene.

Mesh:

Year:  1994        PMID: 8189755     DOI: 10.1016/0165-0270(94)90030-2

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  116 in total

1.  Noise shaping in populations of coupled model neurons.

Authors:  D J Mar; C C Chow; W Gerstner; R W Adams; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

2.  Microstructures for studies of cultured neural networks.

Authors:  M P Maher; H Dvorak-Carbone; J Pine; J A Wright; Y C Tai
Journal:  Med Biol Eng Comput       Date:  1999-01       Impact factor: 2.602

3.  Adaptation to temporal contrast in primate and salamander retina.

Authors:  D Chander; E J Chichilnisky
Journal:  J Neurosci       Date:  2001-12-15       Impact factor: 6.167

4.  Functional asymmetries in ON and OFF ganglion cells of primate retina.

Authors:  E J Chichilnisky; Rachel S Kalmar
Journal:  J Neurosci       Date:  2002-04-01       Impact factor: 6.167

5.  Learning in networks of cortical neurons.

Authors:  G Shahaf; S Marom
Journal:  J Neurosci       Date:  2001-11-15       Impact factor: 6.167

6.  Decorrelation and efficient coding by retinal ganglion cells.

Authors:  Xaq Pitkow; Markus Meister
Journal:  Nat Neurosci       Date:  2012-03-11       Impact factor: 24.884

Review 7.  Biology on a chip: microfabrication for studying the behavior of cultured cells.

Authors:  Nianzhen Li; Anna Tourovskaia; Albert Folch
Journal:  Crit Rev Biomed Eng       Date:  2003

8.  A model of high-frequency oscillatory potentials in retinal ganglion cells.

Authors:  Garrett T Kenyon; Bartlett Moore; Janelle Jeffs; Kate S Denning; Greg J Stephens; Bryan J Travis; John S George; James Theiler; David W Marshak
Journal:  Vis Neurosci       Date:  2003 Sep-Oct       Impact factor: 3.241

9.  Spikes with short inter-spike intervals in frog retinal ganglion cells are more correlated with their adjacent neurons' activities.

Authors:  Wen-Zhong Liu; Ru-Jia Yan; Wei Jing; Hai-Qing Gong; Pei-Ji Liang
Journal:  Protein Cell       Date:  2011-10-06       Impact factor: 14.870

10.  Spatial and temporal correlations of spike trains in frog retinal ganglion cells.

Authors:  Wen-Zhong Liu; Wei Jing; Hao Li; Hai-Qing Gong; Pei-Ji Liang
Journal:  J Comput Neurosci       Date:  2010-09-24       Impact factor: 1.621

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