4.7 Review

Building a circuit through correlated spontaneous neuronal activity in the developing vertebrate and invertebrate visual systems

Journal

GENES & DEVELOPMENT
Volume 35, Issue 9-10, Pages 677-691

Publisher

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gad.348241.121

Keywords

Drosophila; gap junctions; neural development; spontaneous activity; vertebrates versus invertebrates; visual system; wave of neural activity

Funding

  1. National Institutes of Health [R01 EY13012]
  2. postdoctoral National Research Service Award [5F32EY027682-02]

Ask authors/readers for more resources

During the development of the vertebrate nervous systems, genetic programs assemble an immature circuit that is subsequently refined by neuronal activity evoked by external stimuli. Prior to sensory experience, the developing nervous system also triggers correlated network-level neuronal activity, with retinal waves in the developing vertebrate retina being one example. Drosophila is emerging as a model for studying correlated spontaneous activity in the visual system, comparing it with mammals.
During the development of the vertebrate nervous systems, genetic programs assemble an immature circuit that is subsequently refined by neuronal activity evoked by external stimuli. However, prior to sensory experience, the intrinsic property of the developing nervous system also triggers correlated network-level neuronal activity, with retinal waves in the developing vertebrate retina being the best documented example. Spontaneous activity has also been found in the visual system of Drosophila. Here, we compare the spontaneous activity of the developing visual system between mammalian and Drosophila and suggest that Drosophila is an emerging model for mechanistic and functional studies of correlated spontaneous activity.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available