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

Lookup NU author(s): Dr Mark EldridgeORCiD

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This is the final published version of an article that has been published in its final definitive form by eLife Sciences Publications Ltd, 2023.

For re-use rights please refer to the publisher's terms and conditions.


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.


Publication metadata

Author(s): Bonnen T, Eldridge MAG

Publication type: Article

Publication status: Published

Journal: eLife

Year: 2023

Volume: 12

Online publication date: 06/06/2023

Acceptance date: 05/06/2023

Date deposited: 19/02/2025

ISSN (electronic): 2050-084X

Publisher: eLife Sciences Publications Ltd

URL: https://doi.org/10.7554/eLife.84357

DOI: 10.7554/eLife.84357

Data Access Statement: All scripts used for analysis and visualization can be accessed via github at https://github.com/tzler/eldridge_reanalysis (copy archived at Bonnen, 2023). All stimuli and behavioral data used in these analyses can be downloaded via Dryad at https://doi.org/10.5061/dryad.r4xgxd2h7

PubMed id: 37278517


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Funding

Funder referenceFunder name
National Institute of Mental Health, grant ZIAMH002032
National Institute of Neurological Disorders and Stroke, grant F99NS125816

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