Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.pdf (4.76 MB)
Spike-Triggered Covariance Analysis Reveals Phenomenological Diversity of Contrast Adaptation in the Retina.
journal contribution
posted on 2019-10-24, 15:25 authored by Jian K. Liu, Tim GollischWhen visual contrast changes, retinal ganglion cells adapt by adjusting their sensitivity as well as their temporal filtering characteristics. The latter has classically been described by contrast-induced gain changes that depend on temporal frequency. Here, we explored a new perspective on contrast-induced changes in temporal filtering by using spike-triggered covariance analysis to extract multiple parallel temporal filters for individual ganglion cells. Based on multielectrode-array recordings from ganglion cells in the isolated salamander retina, we found that contrast adaptation of temporal filtering can largely be captured by contrast-invariant sets of filters with contrast-dependent weights. Moreover, differences among the ganglion cells in the filter sets and their contrast-dependent contributions allowed us to phenomenologically distinguish three types of filter changes. The first type is characterized by newly emerging features at higher contrast, which can be reproduced by computational models that contain response-triggered gain-control mechanisms. The second type follows from stronger adaptation in the Off pathway as compared to the On pathway in On-Off-type ganglion cells. Finally, we found that, in a subset of neurons, contrast-induced filter changes are governed by particularly strong spike-timing dynamics, in particular by pronounced stimulus-dependent latency shifts that can be observed in these cells. Together, our results show that the contrast dependence of temporal filtering in retinal ganglion cells has a multifaceted phenomenology and that a multi-filter analysis can provide a useful basis for capturing the underlying signal-processing dynamics.
Funding
This work was supported by the International Human Frontier Science Program Organization, by the Deutsche Forschungsgemeinschaft (GO 1408/2-1 and Collaborative Research Center 889, C1), and by the European Union Seventh Framework Programme (FP7-ICT-2011.9.11) under grant agreement no 600954 (“VISUALISE”). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
History
Citation
PLoS Computational Biology, 2015, 11(7): e100442Author affiliation
/Organisation/COLLEGE OF LIFE SCIENCES/Biological Sciences/Neuroscience, Psychology and BehaviourVersion
- VoR (Version of Record)
Published in
PLoS Computational BiologyPublisher
Public Library of Science for International Society for Computational Biology (ISCB)eissn
1553-7358Acceptance date
2015-07-03Copyright date
2015Available date
2019-10-24Publisher DOI
Publisher version
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1004425Notes
Data are available from the Dryad Digital Repository (doi: 10.5061/dryad.7r7n7).Language
enAdministrator link
Usage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC