4.7 Article

Early-Stage Waves in the Retinal Network Emerge Close to a Critical State Transition between Local and Global Functional Connectivity

Journal

JOURNAL OF NEUROSCIENCE
Volume 29, Issue 4, Pages 1077-1086

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.4880-08.2009

Keywords

retinal development; retinal waves; computational model; percolation; phase transition; correlated activity

Categories

Funding

  1. Edinburgh Compute and Data Facility
  2. eDIKT (eScience Data, Information and Knowledge Transformation) initiative]
  3. United Kingdom Medical Research Council Fellowship [G0501327]
  4. Engineering and Physical Sciences Research Council [EP/E002331/1]
  5. Centre of Excellence for Life Sciences Limited (OneNorthEast)
  6. Biotechnology and Biological Sciences Research Council [BB/F011415/1] Funding Source: researchfish
  7. Medical Research Council [G0501327] Funding Source: researchfish
  8. BBSRC [BB/F011415/1] Funding Source: UKRI
  9. MRC [G0501327] Funding Source: UKRI

Ask authors/readers for more resources

A novel, biophysically realistic model for early-stage, acetylcholine-mediated retinal waves is presented. In this model, neural excitability is regulated through a slow after-hyperpolarization (sAHP) operating on two different temporal scales. As a result, the simulated network exhibits competition between a desynchronizing effect of spontaneous, cell-intrinsic bursts, and the synchronizing effect of synaptic transmission during retinal waves. Cell-intrinsic bursts decouple the retinal network through activation of the sAHP current, and we show that the network is capable of operating at a transition point between purely local and global functional connectedness, which corresponds to a percolation phase transition. Multielectrode array recordings show that, at this point, the properties of retinal waves are reliably predicted by the model. These results indicate that early spontaneous activity in the developing retina is regulated according to a very specific principle, which maximizes randomness and variability in the resulting activity patterns.

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