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Paper Citation Record · LEDGER

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli

As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.12009.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.12009 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:00:50.669223Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a75c2835-61ec-4243-8e15-b4401aa863bb · outbound

This paper cites High-resolution image reconstruction with latent diffusion models from human brain activity,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli High-resolution image reconstruction with latent diffusion models from human brain activity,

Reference 1

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Observation 6277b47b-dac1-49a6-9a70-8ef1ee43b026 · outbound

This paper cites End- to-end deep image reconstruction from human brain activity,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli End- to-end deep image reconstruction from human brain activity,

Reference 2

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Observation 1a0157f4-9de9-4ef1-b423-0cc8bbc5c093 · outbound

This paper cites From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli From voxels to pixels and back: Self-supervision in natural-image reconstruction from fmri,

Reference 3

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Observation 67dd7c5b-09fe-46e6-9d26-dfb9971581ca · outbound

This paper cites Self-supervised natural image reconstruction and large-scale semantic classification from brain activity,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Self-supervised natural image reconstruction and large-scale semantic classification from brain activity,

Reference 4

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Observation e04cac91-9f43-428b-ac06-1ac6c356bf16 · outbound

This paper cites Very deep convolutional networks for large-scale image recognition,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Very deep convolutional networks for large-scale image recognition,

Reference 5

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Observation d75d346f-e2a9-4f88-90d2-f3452ed99860 · outbound

This paper cites Reconstructing visual experiences from brain activity evoked by natural movies,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Reconstructing visual experiences from brain activity evoked by natural movies,

Reference 6

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Observation d0bfdbd4-1c47-49f7-b507-4f1129987269 · outbound

This paper cites Varia- tional autoencoder: An unsupervised model for encoding and decoding fmri activity in visual cortex,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Varia- tional autoencoder: An unsupervised model for encoding and decoding fmri activity in visual cortex,

Reference 7

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Observation ad3de8d1-515e-4a3f-925f-034bff2a603f · outbound

This paper cites Cortical response to naturalistic stimuli is largely predictable with deep neural networks,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Cortical response to naturalistic stimuli is largely predictable with deep neural networks,

Reference 8

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Observation 05c7bb5c-313f-4de3-b0e7-68aef0611469 · outbound

This paper cites Neural encoding and decoding with deep learning for dynamic natural vision,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Neural encoding and decoding with deep learning for dynamic natural vision,

Reference 9

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Observation 08ed64f7-3048-49bd-a51f-b30d8905a7db · outbound

This paper cites A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity

Reference 10

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Observation 1c9e8bc5-ef5f-4404-a220-af3f3bf9667e · outbound

This paper cites Brain2pix: Fully convolutional naturalistic video frame reconstruction from brain activity,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Brain2pix: Fully convolutional naturalistic video frame reconstruction from brain activity,

Reference 11

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Observation 387efa2b-8e76-4e31-b197-579617947220 · outbound

This paper cites Spurious reconstruction from brain activity,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Spurious reconstruction from brain activity,

Reference 12

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Observation d3aeec83-507b-4063-9485-268dbb3ed57a · outbound

This paper cites Using goal-driven deep learning models to understand sensory cortex,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Using goal-driven deep learning models to understand sensory cortex,

Reference 13

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Observation 78217a0b-76fc-41c4-8d57-ba319028ee43 · outbound

This paper cites Emo-film: A multimodal dataset for affective neuroscience using naturalistic stimuli,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Emo-film: A multimodal dataset for affective neuroscience using naturalistic stimuli,

Reference 14

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Observation 887850b4-a124-40e3-a3c4-1274f1b57d1d · outbound

This paper cites Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity mri,

Reference 15

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Observation 3e77d8cc-1f00-4833-ae70-ab0fcd9946cc · outbound

This paper cites Automated anatomical labelling atlas 3,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Automated anatomical labelling atlas 3,

Reference 16

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Observation ba406ea7-de70-44ba-bd72-820abb675d4b · outbound

This paper cites Separate visual pathways for perception and action,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Separate visual pathways for perception and action,

Reference 17

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Observation 31980463-b9c5-402d-b93e-870ba6a77c36 · outbound

This paper cites The fusiform face area: a cortical region specialized for the perception of faces,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli The fusiform face area: a cortical region specialized for the perception of faces,

Reference 18

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Observation 7acfec40-8c2a-4522-b485-4f0906e18bb7 · outbound

This paper cites Meadows, Calcarine Cortex , pp.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Meadows, Calcarine Cortex , pp

Reference 19

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Observation f5cd2c9a-e8bb-4e59-b8e0-0e97b70021bc · outbound

This paper cites Examining the impact of fmri preprocessing steps on machine learning-based classification of autism spectrum disorder,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Examining the impact of fmri preprocessing steps on machine learning-based classification of autism spectrum disorder,

Reference 20

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Observation 8a5a9b5f-47b4-494e-b7ac-2ff23b86e887 · outbound

This paper cites Revealing the multidimensional mental representations of natural objects underlying human similarity judgements,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Revealing the multidimensional mental representations of natural objects underlying human similarity judgements,

Reference 21

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Observation f6dc13a0-dad4-4f01-9ca2-0a67a010081f · outbound

This paper cites Concept-based explainability for an eeg transformer model,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Concept-based explainability for an eeg transformer model,

Reference 22

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Observation c26dac9e-f606-43f2-8505-f69b499f49c2 · outbound

This paper cites Concept-based ai interpretability in physiological time-series data: Example of abnormality detection in electroencephalography,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Concept-based ai interpretability in physiological time-series data: Example of abnormality detection in electroencephalography,

Reference 23

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Observation 17ebe50a-688f-4f63-8ec5-731d4cf04b8c · outbound

This paper cites An improved saliency model of visual attention dependent on image content,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli An improved saliency model of visual attention dependent on image content,

Reference 24

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Observation 017b55c6-b884-47a9-8232-719c5658f64a · outbound

This paper cites Sanity checks for saliency maps,.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Sanity checks for saliency maps,

Reference 25

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Observation ea06858b-6dd2-4acf-924a-c755662489ba · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav),.

Deep Neural Encoder-Decoder Model to Relate fMRI Brain Activity with Naturalistic Stimuli Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav),

Reference 26

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Source-reported events for the cited work

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Pith citing papers

No inbound Pith citation observations are available.