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The ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks

View ORCID ProfileStefania Bracci, View ORCID ProfileIoannis Kalfas, View ORCID ProfileHans Op de Beeck
doi: https://doi.org/10.1101/228932
Stefania Bracci
1Laboratory of Biological Psychology, KU Leuven, Leuven, 3000, Belgium
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Ioannis Kalfas
2Laboratory of Neuro- and Psychophysiology, Department of Neurosciences, KU Leuven, Leuven, 3000, Belgium
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Hans Op de Beeck
1Laboratory of Biological Psychology, KU Leuven, Leuven, 3000, Belgium
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Abstract

Recent studies showed agreement between how the human brain and neural networks represent objects, suggesting that we might start to understand the underlying computations. However, we know that the human brain is prone to biases at many perceptual and cognitive levels, often shaped by learning history and evolutionary constraints. Here we explore one such bias, namely the bias to perceive animacy, and used the performance of neural networks as a benchmark. We performed an fMRI study that dissociated object appearance (how an object looks like) from object category (animate or inanimate) by constructing a stimulus set that includes animate objects (e.g., a cow), typical inanimate objects (e.g., a mug), and, crucially, inanimate objects that look like the animate objects (e.g., a cow-mug). Behavioral judgments and deep neural networks categorized images mainly by animacy, setting all objects (lookalike and inanimate) apart from the animate ones. In contrast, activity patterns in ventral occipitotemporal cortex (VTC) were strongly biased towards object appearance: animals and lookalikes were similarly represented and separated from the inanimate objects. Furthermore, this bias interfered with proper object identification, such as failing to signal that a cow-mug is a mug. The bias in VTC to represent a lookalike as animate was even present when participants performed a task requiring them to report the lookalikes as inanimate. In conclusion, VTC representations, in contrast to neural networks, fail to veridically represent objects when visual appearance is dissociated from animacy, probably due to a biased processing of visual features typical of animate objects.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted August 01, 2018.
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The ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks
Stefania Bracci, Ioannis Kalfas, Hans Op de Beeck
bioRxiv 228932; doi: https://doi.org/10.1101/228932
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The ventral visual pathway represents animal appearance over animacy, unlike human behavior and deep neural networks
Stefania Bracci, Ioannis Kalfas, Hans Op de Beeck
bioRxiv 228932; doi: https://doi.org/10.1101/228932

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