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Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream
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 dam...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310321/ https://www.ncbi.nlm.nih.gov/pubmed/37278517 http://dx.doi.org/10.7554/eLife.84357 |
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author | Bonnen, Tyler Eldridge, Mark AG |
author_facet | Bonnen, Tyler Eldridge, Mark AG |
author_sort | Bonnen, Tyler |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10310321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-103103212023-06-30 Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream Bonnen, Tyler Eldridge, Mark AG eLife Neuroscience 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. eLife Sciences Publications, Ltd 2023-06-06 /pmc/articles/PMC10310321/ /pubmed/37278517 http://dx.doi.org/10.7554/eLife.84357 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open-access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Neuroscience Bonnen, Tyler Eldridge, Mark AG Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title | Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title_full | Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title_fullStr | Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title_full_unstemmed | Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title_short | Inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
title_sort | inconsistencies between human and macaque lesion data can be resolved with a stimulus-computable model of the ventral visual stream |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10310321/ https://www.ncbi.nlm.nih.gov/pubmed/37278517 http://dx.doi.org/10.7554/eLife.84357 |
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