Evidence map›Paper›PMID 30457994›Full record

ArticlePLoS computational biology2018

Adaptive feature detection from differential processing in parallel retinal pathways.

Yusuf Ozuysal, David B Kastner, Stephen A Baccus

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Yusuf OzuysalDepartment of Electrical Engineering, Stanford University, Stanford, CA, United States of America.
David B KastnerNeuroscience Program, Stanford University, Stanford, CA, United States of America.ORCID 0000-0001-9681-425X
Stephen A BaccusDepartment of Neurobiology, Stanford University, Stanford, CA, United States of America.ORCID 0000-0001-8692-5685

Funding

Stanford Vision Research CoreP30EY026877 · NEI · STANFORD UNIVERSITY · PI Jeffrey L Goldberg · 2017 to 2026
$8.0M
Function and circuitry of adaptive inhibition in the retinaR01EY022933 · NEI · STANFORD UNIVERSITY · PI STEPHEN A BACCUS · 2013 to 2026
$4.8M
Neural coding of interneuron populations in the retinaR01EY025087 · NEI · STANFORD UNIVERSITY · PI BACCUS, STEPHEN A · 2015 to 2022
$3.1M
NEI NIH HHS P30 EY026877NEI NIH HHS R01 EY022933NEI NIH HHS R01 EY025087
6 · The paper itself

Abstract

To transmit information efficiently in a changing environment, the retina adapts to visual contrast by adjusting its gain, latency and mean response. Additionally, the temporal frequency selectivity, or bandwidth changes to encode the absolute intensity when the stimulus environment is noisy, and intensity differences when noise is low. We show that the On pathway of On-Off retinal amacrine and ganglion cells is required to change temporal bandwidth but not other adaptive properties. This remarkably specific adaptive mechanism arises from differential effects of contrast on the On and Off pathways. We analyzed a biophysical model fit only to a cell's membrane potential, and verified pharmacologically that it accurately revealed the two pathways. We conclude that changes in bandwidth arise mostly from differences in synaptic threshold in the two pathways, rather than synaptic release dynamics as has previously been proposed to underlie contrast adaptation. Different efficient codes are selected by different thresholds in two independently adapting neural pathways.

Indexed as

AnimalsCaudataElectrophysiological PhenomenaMedical InformaticsNeural Networks, ComputerNeural PathwaysNonlinear DynamicsPattern Recognition, AutomatedPhotic StimulationRetinaRetinal Ganglion CellsSignal Processing, Computer-AssistedSynapsesVision, OcularVisual Pathways

Identifiers

PMID30457994
PMCPMC6245510

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.