ArticleNeuron2021
When the ventral visual stream is not enough: A deep learning account of medial temporal lobe involvement in perception.
Article in Neuron, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed.
- Visual Sensitivities in Toddlers' Hands Provide a Foundation for Shape Perception.Developmental science · 2026Article
- Data augmentation as a framework for modeling hippocampal contributions to generalization.ArXiv · 2026Article
- Computational single-neuron mechanisms of visual object coding in the human temporal lobe.Nature communications · 2026Article
- Sharpened Visual Memory Representations Are Reflected in Inferotemporal Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Marine-Inspired Multimodal Sensor Fusion and Neuromorphic Processing for Autonomous Navigation in Unstructured Subaquatic Environments.Sensors (Basel, Switzerland) · 2025Review
- Task-relevant representational spaces in human memory traces.PLoS computational biology · 2025Article
- Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields.Brain sciences · 2025Article
- Multimodal MEG and Microstructure-MRI Investigations of the Human Hippocampal Scene Network.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- A neural computational framework for face processing in the human temporal lobe.Current biology : CB · 2025Article
- Reinstatement and transformation of memory traces for recognition.Science advances · 2025Article
- Low-Level Social Demand Is Associated with Anxiety-Related Gamma Wave Responses in Autistic Male Youth.Brain sciences · 2025Article
- Approximating Human-Level 3D Visual Inferences With Deep Neural Networks.Open mind : discoveries in cognitive science · 2025Article
- Article
- Encoding of Visual Objects in the Human Medial Temporal Lobe.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Using deep neural networks to disentangle visual and semantic information in human perception and memory.Nature human behaviour · 2024Article
- Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.bioRxiv : the preprint server for biology · 2024Article
- Emergence of Emotion Selectivity in Deep Neural Networks Trained to Recognize Visual Objects.PLoS computational biology · 2024Article
- Recurrent connectivity supports higher-level visual and semantic object representations in the brain.Communications biology · 2023Article
- Review
- Exploring strategy differences between humans and monkeys with recurrent neural networks.PLoS computational biology · 2023Article
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3 authors.
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Abstract
The medial temporal lobe (MTL) supports a constellation of memory-related behaviors. Its involvement in perceptual processing, however, has been subject to enduring debate. This debate centers on perirhinal cortex (PRC), an MTL structure at the apex of the ventral visual stream (VVS). Here we leverage a deep learning framework that approximates visual behaviors supported by the VVS (i.e., lacking PRC). We first apply this approach retroactively, modeling 30 published visual discrimination experiments: excluding non-diagnostic stimulus sets, there is a striking correspondence between VVS-modeled and PRC-lesioned behavior, while each is outperformed by PRC-intact participants. We corroborate and extend these results with a novel experiment, directly comparing PRC-intact human performance to electrophysiological recordings from the macaque VVS: PRC-intact participants outperform a linear readout of high-level visual cortex. By situating lesion, electrophysiological, and behavioral results within a shared computational framework, this work resolves decades of seemingly inconsistent findings surrounding PRC involvement in perception.
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