Evidence map›Paper›PMID 33784667›Full record

ReviewBrain, behavior and evolution2020

Illusions, Delusions, and Your Backwards Bayesian Brain: A Biased Visual Perspective.

Richard T Born, Gianluca M Bencomo

Abstract readReview
In one paragraph

Review in Brain, behavior and evolution, 2020. 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. Review
  2. Article
  3. Review
  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

2 authors.

Richard T BornDepartment of Neurobiology, Harvard Medical School, Boston, Massachusetts, USA.
Gianluca M BencomoDepartment of Computer Science, Whittier College, Whittier, California, USA.

Funding

Viral ModuleP30EY012196 · NEI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI ZHIGANG HE · 1998 to 2026
$21.3M
FUNCTIONAL ORGANIZATION OF VISUAL AREA MTR01EY011379 · NEI · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI BORN, RICHARD T · 1996 to 2019
$8.0M
NEI NIH HHS P30 EY012196NEI NIH HHS R01 EY011379
6 · The paper itself

Abstract

The retinal image is insufficient for determining what is "out there," because many different real-world geometries could produce any given retinal image. Thus, the visual system must infer which external cause is most likely, given both the sensory data and prior knowledge that is either innate or learned via interactions with the environment. We will describe a general framework of "hierarchical Bayesian inference" that we and others have used to explore the role of cortico-cortical feedback in the visual system, and we will further argue that this approach to "seeing" makes our visual systems prone to perceptual errors in a variety of different ways. In this deliberately provocative and biased perspective, we argue that the neuromodulator, dopamine, may be a crucial link between neural circuits performing Bayesian inference and the perceptual idiosyncrasies of people with schizophrenia.

Indexed as

IllusionsSchizophreniaAnimalsBayes TheoremBrainDelusionsHumansCerebral cortexDopamineNeuromodulatorsSchizophreniaSensory systemsVision

Identifiers

PMID33784667
PMCPMC8238803

What OpenQuestion holds

Textmetadata
LicenceTDM
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.