Evidence map›Paper›PMID 34114566›Full record

ArticleeLife2021

Unsupervised changes in core object recognition behavior are predicted by neural plasticity in inferior temporal cortex.

Xiaoxuan Jia, Ha Hong, James J DiCarlo

Open access · goldAbstract read
In one paragraph

Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

7 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 1 institution in 1 country.

Xiaoxuan JiaDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.ORCID 0000-0001-5484-9331
Ha HongDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.
James J DiCarloDepartment of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States.
McGovern Institute for Brain Research · US

Funding

Visual object processing in the inferotemporal cortexR01EY014970 · NEI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI DICARLO, JAMES J · 2004 to 2016
$4.0M
NEI NIH HHS R01 EY014970
6 · The paper itself

Abstract

Temporal continuity of object identity is a feature of natural visual input and is potentially exploited - in an unsupervised manner - by the ventral visual stream to build the neural representation in inferior temporal (IT) cortex. Here, we investigated whether plasticity of individual IT neurons underlies human core object recognition behavioral changes induced with unsupervised visual experience. We built a single-neuron plasticity model combined with a previously established IT population-to-recognition-behavior-linking model to predict human learning effects. We found that our model, after constrained by neurophysiological data, largely predicted the mean direction, magnitude, and time course of human performance changes. We also found a previously unreported dependency of the observed human performance change on the initial task difficulty. This result adds support to the hypothesis that tolerant core object recognition in human and non-human primates is instructed - at least in part - by naturally occurring unsupervised temporal contiguity experience.

Indexed as

AnimalsHumansLearningModels, NeurologicalNeuronal PlasticityNeuronsPattern Recognition, VisualPhotic StimulationRecognition, PsychologyTemporal LobeVisual Perceptionhumanhuman psychophysicsinferior temporal cortexneural plasticityneuroscienceobject recognitiontemporal continuityunsupervised learning

Identifiers

PMID34114566
PMCPMC8324291
OpenAlexW3167384055

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.