ArticlePLoS computational biology2007
Retinal wave behavior through activity-dependent refractory periods.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 63 citations in OpenAlex.
- Modeling cholinergic retinal waves: starburst amacrine cells shape wave generation, propagation, and direction bias.Scientific reports · 2023Article
- On the Role of LGN/V1 Spontaneous Activity as an Innate Learning Pattern for Visual Development.Frontiers in physiology · 2021Article
- Neural field models for latent state inference: Application to large-scale neuronal recordings.PLoS computational biology · 2019Article
- A biophysical model explains the spontaneous bursting behavior in the developing retina.Scientific reports · 2019Article
- Article
- Theoretical Models of Neural Development.iScience · 2018Review
- Retinal Wave Patterns Are Governed by Mutual Excitation among Starburst Amacrine Cells and Drive the Refinement and Maintenance of Visual Circuits.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Article
- A reaction-diffusion model of cholinergic retinal waves.PLoS computational biology · 2014Article
- Slow feature analysis on retinal waves leads to V1 complex cells.PLoS computational biology · 2014Article
- Modeling development in retinal afferents: retinotopy, segregation, and ephrinA/EphA mutants.PloS one · 2014Article
- Review
- A role for TREK1 in generating the slow afterhyperpolarization in developing starburst amacrine cells.Journal of neurophysiology · 2013Article
- Hyperpolarization of resting membrane potential causes retraction of spontaneous Ca(i)²⁺ transients during mouse embryonic circuit development.The Journal of physiology · 2013Article
- Stable learning of functional maps in self-organizing spiking neural networks with continuous synaptic plasticity.Frontiers in computational neuroscience · 2013Article
- Cellular mechanisms underlying spatiotemporal features of cholinergic retinal waves.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2012Article
- Article
- Assembly and disassembly of a retinal cholinergic network.Visual neuroscience · 2012Review
- Modeling developmental patterns of spontaneous activity.Current opinion in neurobiology · 2011Review
- Mechanisms underlying spontaneous patterned activity in developing neural circuits.Nature reviews. Neuroscience · 2010Review
- Burst-time-dependent plasticity robustly guides ON/OFF segregation in the lateral geniculate nucleus.PLoS computational biology · 2009Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the developing mammalian visual system, spontaneous retinal ganglion cell (RGC) activity contributes to and drives several aspects of visual system organization. This spontaneous activity takes the form of spreading patches of synchronized bursting that slowly advance across portions of the retina. These patches are non-repeating and tile the retina in minutes. Several transmitter systems are known to be involved, but the basic mechanism underlying wave production is still not well-understood. We present a model for retinal waves that focuses on acetylcholine mediated waves but whose principles are adaptable to other developmental stages. Its assumptions are that a) spontaneous depolarizations of amacrine cells drive wave activity; b) amacrine cells are locally connected, and c) cells receiving more input during their depolarization are subsequently less responsive and have longer periods between spontaneous depolarizations. The resulting model produces waves with non-repeating borders and randomly distributed initiation points. The wave generation mechanism appears to be chaotic and does not require neural noise to produce this wave behavior. Variations in parameter settings allow the model to produce waves that are similar in size, frequency, and velocity to those observed in several species. Our results suggest that retinal wave behavior results from activity-dependent refractory periods and that the average velocity of retinal waves depends on the duration a cell is excitatory: longer periods of excitation result in slower waves. In contrast to previous studies, we find that a single layer of cells is sufficient for wave generation. The principles described here are very general and may be adaptable to the description of spontaneous wave activity in other areas of the nervous system.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.