Evidence map›Paper›PMID 29670512›Full record

ReviewFrontiers in neural circuits2018

Eyes Matched to the Prize: The State of Matched Filters in Insect Visual Circuits.

Jessica R Kohn, Sarah L Heath, Rudy Behnia

Abstract readReview
In one paragraph

Review in Frontiers in neural circuits, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Long-term exposure to extreme illumination regimes alters behavioral responses to light in the cockroach, Periplaneta americana L.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026
    Article
  2. Article
  3. The role of colour patterns for the recognition of flowers by bees.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  4. Review
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.

Jessica R KohnDepartment of Neuroscience, Columbia University, New York, NY, United States.
Sarah L HeathDepartment of Neuroscience, Columbia University, New York, NY, United States.
Rudy BehniaDepartment of Neuroscience, Columbia University, New York, NY, United States.

Funding

Vision Sciences Training GrantT32EY013933 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Carol A. Mason, CAROL M TROY · 2001 to 2026
$5.3M
NEI NIH HHS T32 EY013933
6 · The paper itself

Abstract

Confronted with an ever-changing visual landscape, animals must be able to detect relevant stimuli and translate this information into behavioral output. A visual scene contains an abundance of information: to interpret the entirety of it would be uneconomical. To optimally perform this task, neural mechanisms exist to enhance the detection of important features of the sensory environment while simultaneously filtering out irrelevant information. This can be accomplished by using a circuit design that implements specific "matched filters" that are tuned to relevant stimuli. Following this rule, the well-characterized visual systems of insects have evolved to streamline feature extraction on both a structural and functional level. Here, we review examples of specialized visual microcircuits for vital behaviors across insect species, including feature detection, escape, and estimation of self-motion. Additionally, we discuss how these microcircuits are modulated to weigh relevant input with respect to different internal and behavioral states.

Indexed as

AnimalsBehavior, AnimalInsectaVisual PathwaysVisual PerceptionDrosophilainsectsneural circuitneuromodulationsensory circuitvision

Identifiers

PMID29670512
PMCPMC5893817

What OpenQuestion holds

Textmetadata
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.