Evidence map›Paper›PMID 42537526›Full record

ReviewCurrent opinion in neurobiology2026

Visual computation in the cephalopod brain.

V Angelique Allen, Cristopher M Niell

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

V Angelique AllenDepartment of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR, 97405, USA.
Cristopher M NiellDepartment of Biology and Institute of Neuroscience, University of Oregon, Eugene, OR, 97405, USA. Electronic address: cniell@uoregon.edu.

Funding

Neural coding and functional organization of the octopus visual systemRF1NS118466 · NINDS · UNIVERSITY OF OREGON · PI NIELL, CRISTOPHER M · 2020 to 2021
$1.2M
Neural coding and functional organization of the octopus visual systemR01NS118466 · NINDS · UNIVERSITY OF OREGON · PI NIELL, CRISTOPHER M · 2023 to 2024
$695k
NINDS NIH HHS R01 NS118466NINDS NIH HHS RF1 NS118466
6 · The paper itself

Abstract

Computational models of visual system function are largely based on the mammalian visual hierarchy, as the exemplar of a large complex visual system. However, the cephalopod visual system provides an intriguing alternative model for vision; it is relatively similar in size, complexity, and acuity to that of mammals, but has a fundamentally different neural architecture. While this system has been largely overlooked relative to more standard model species, renewed interest in the diversity of neural computations across species, along with technical developments allowing for further investigation, have led to insights into this evolutionarily distinct visual system. Here we provide a brief overview of the unique architecture of the cephalopod visual system, and review recent advances in understanding its neural circuitry, visual coding, and potential computational mechanisms. Throughout, we highlight how investigating cephalopod visual processing provides the opportunity to identify both shared and novel principles for visual computations and their neural implementation.

Indexed as

BrainCephalopodaModels, NeurologicalVision, OcularVisual PathwaysVisual PerceptionAnimalsNeurons

Identifiers

PMID42537526
PMCPMC13483949

What OpenQuestion holds

Textmetadata
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.