Evidence map›Paper›PMID 37278517›Full record

ArticleeLife2023

Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream.

Tyler Bonnen, Mark A G Eldridge

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Tyler BonnenStanford University, Stanford, United States.ORCID 0000-0001-8709-1651
Mark A G EldridgeLaboratory of Neuropsychology, National Institute of Mental Health,National Institutes of Health, Bethesda, United States.ORCID 0000-0003-4292-6832

Funding

Neural Coding Of Visual StimuliZIAMH002032 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RICHMOND, BARRY J · 2009 to 2025
$20.5M
Biologically Plausible Computational Models of Perirhinal CortexF99NS125816 · NINDS · STANFORD UNIVERSITY · PI BONNEN, TYLER · 2022 to 2022
$41k
Intramural NIH HHS ZIA MH002032NIMH NIH HHS ZIAMH002032NINDS NIH HHS F99 NS125816NINDS NIH HHS F99NS125816
6 · The paper itself

Abstract

Decades of neuroscientific research has sought to understand medial temporal lobe (MTL) involvement in perception. Apparent inconsistencies in the literature have led to competing interpretations of the available evidence; critically, findings from human participants with naturally occurring MTL damage appear to be inconsistent with data from monkeys with surgical lesions. Here, we leverage a 'stimulus-computable' proxy for the primate ventral visual stream (VVS), which enables us to formally evaluate perceptual demands across stimulus sets, experiments, and species. With this modeling framework, we analyze a series of experiments administered to monkeys with surgical, bilateral damage to perirhinal cortex (PRC), an MTL structure implicated in visual object perception. Across experiments, PRC-lesioned subjects showed no impairment on perceptual tasks; this originally led us(Eldridge et al., 2018) to conclude that PRC is not involved in perception. Here, we find that a 'VVS-like' model predicts both PRC-intact and -lesioned choice behaviors, suggesting that a linear readout of the VVS should be sufficient for performance on these tasks. Evaluating these computational results alongside findings from human experiments, we suggest that results from (Eldridge et al., 2018) alone cannot be used as evidence against PRC involvement in perception. These data indicate that experimental findings from human and non-human primates are consistent. As such, what appeared to be discrepancies between species was in fact due to reliance on informal accounts of perceptual processing.

Indexed as

MacacaRecognition, PsychologyAnimalsHumansMagnetic Resonance ImagingPhotic StimulationTemporal LobeVisual Perceptiondeep learningneurosciencerhesus macaquestimulus-computable methodsvisual object perception

Identifiers

PMID37278517
PMCPMC10310321

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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.