SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments | Paper Citation Record

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments write newline

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments @esa (Ref

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Unresolved cited work

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This paper cites A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

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This paper cites Predictive coding or just feature discovery? an alternative account of why language models fit brain data.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Predictive coding or just feature discovery? an alternative account of why language models fit brain data

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This paper cites wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments wav2vec 2.0: A framework for self-supervised learning of speech representations, 2020

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This paper cites Brain decoding: toward real-time reconstruction of visual perception.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Brain decoding: toward real-time reconstruction of visual perception

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This paper cites The relationship between spatial configuration and functional connectivity of brain regions.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The relationship between spatial configuration and functional connectivity of brain regions

Reference 9

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This paper cites Boyle J.A.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Boyle J.A

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This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges

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This paper cites Emerging Properties in Self-Supervised Vision Transformers.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Emerging Properties in Self-Supervised Vision Transformers

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This paper cites Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Model-based analysis of brain activity reveals the hierarchy of language in 305 subjects

Reference 13

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This paper cites Evidence of a predictive coding hierarchy in the human brain listening to speech.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Evidence of a predictive coding hierarchy in the human brain listening to speech

Reference 14

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This paper cites Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images

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This paper cites The impact of traditional neuroimaging methods on the spatial localization of cortical areas.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The impact of traditional neuroimaging methods on the spatial localization of cortical areas

Reference 16

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This paper cites Cutting, Kaitlin L.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Cutting, Kaitlin L

Reference 17

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This paper cites Surface vision transformers: Attention-based modelling applied to cortical analysis.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Surface vision transformers: Attention-based modelling applied to cortical analysis

Reference 18

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This paper cites Spatio-temporal encoding of brain dynamics with surface masked autoencoders.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Spatio-temporal encoding of brain dynamics with surface masked autoencoders

Reference 19

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This paper cites Decoding speech perception from non-invasive brain recordings.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Decoding speech perception from non-invasive brain recordings

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Short-term hebbian learning can implement transformer-like attention

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Unresolved cited work

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Masked autoencoders as spatiotemporal learners, 2022

Reference 24

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This paper cites Movie-watching outperforms rest for functional connectivity-based prediction of behavior.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Movie-watching outperforms rest for functional connectivity-based prediction of behavior

Reference 25

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This paper cites Movie-watching outperforms rest for functional connectivity-based prediction of behavior.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Movie-watching outperforms rest for functional connectivity-based prediction of behavior

Reference 26

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Freesurfer

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Towards building a more complex view of the lateral geniculate nucleus: Recent advances in understanding its role

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Wilson, Timothy Coalson, Bruce Fischl, Jesper Andersson, Junqian Xu, Saad Jbabdi, Matthew Webster, Jonathan Polimeni, Van DC, and Mark Jenkinson

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments A multi-modal parcellation of human cerebral cortex

Reference 30

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The human connectome project's neuroimaging approach

Reference 31

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Individual-specific features of brain systems identified with resting state functional correlations

Reference 32

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Precision functional mapping of individual human brains

Reference 33

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Accurate and robust brain image alignment using boundary-based registration

Reference 34

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Decoding natural image stimuli from fMRI data with a surface-based convolutional network

Reference 35

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Hyperalignment: Modeling shared information encoded in idiosyncratic cortical topographies

Reference 36

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Masked autoencoders are scalable vision learners, 2021

Reference 37

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments THINGS -data, a multimodal collection of large-scale datasets for investigating object representations in human brain and behavior

Reference 38

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Unresolved cited work

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The kinetics human action video dataset, 2017

Reference 40

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Transformer as a hippocampal memory consolidation model based on nmdar-inspired nonlinearity

Reference 41

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Spatial topography of individual-specific cortical networks predicts human cognition, personality, and emotion

Reference 42

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Deep neural networks: a new framework for modeling biological vision and brain information processing

Reference 43

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Variation in spatial dependencies across the cortical mantle discriminates the functional behaviour of primary and association cortex

Reference 44

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Convolutional neural networks as a model of the visual system: Past, present, and future

Reference 45

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Decoupled weight decay regularization, 2019

Reference 46

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Situating the default-mode network along a principal gradient of macroscale cortical organization

Reference 47

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Toward a realistic model of speech processing in the brain with self-supervised learning

Reference 48

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Meta learning to bridge vision and language models for multimodal few-shot learning, 2023

Reference 49

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments narratives

Reference 50

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SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Natural scene reconstruction from fmri signals using generative latent diffusion

Reference 51

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Observation a8b6e034-d795-4ca3-aedb-246fcada07c9 · outbound

This paper cites Librispeech: An asr corpus based on public domain audio books.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Librispeech: An asr corpus based on public domain audio books

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6b9555b0-8bf0-439f-9e52-e90721a0e2fc · outbound

This paper cites Multi-dynamic modelling reveals strongly time-varying resting fmri correlations.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Multi-dynamic modelling reveals strongly time-varying resting fmri correlations

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.562255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d174a4ac-5fbb-44bc-bc23-957920a50399 · outbound

This paper cites Learning transferable visual models from natural language supervision, 2021.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Learning transferable visual models from natural language supervision, 2021

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.289619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2638a5ed-8efe-4957-a96e-c03a8fb9b8bd · outbound

This paper cites Robinson, Saad Jbabdi, Matthew F.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Robinson, Saad Jbabdi, Matthew F

Reference 55

Resolution: verified exact; raw_fallback, observed 2026-08-10T13:07:33.924214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1fb58da8-4ba0-4f6e-a3f6-463d38ad6ed0 · outbound

This paper cites Robinson, Kara Garcia, Matthew F.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Robinson, Kara Garcia, Matthew F

Reference 56

Resolution: verified exact; raw_fallback, observed 2026-08-10T13:07:33.798051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7130f03f-3126-49d7-bf51-848268d996ca · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments High-Resolution Image Synthesis with Latent Diffusion Models

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.297600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ad2085a-a2f7-4907-926c-42553c5a0567 · outbound

This paper cites Automatic denoising of functional mri data: combining independent component analysis and hierarchical fusion of classifiers.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Automatic denoising of functional mri data: combining independent component analysis and hierarchical fusion of classifiers

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.551035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ecd6b911-7f4e-49df-9a4e-33f6bac54231 · outbound

This paper cites Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.302517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b56e997-2fe4-4ae2-aa4a-be5cc730abfc · outbound

This paper cites MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.304900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f96490-9977-467f-a4c4-0393db2d81a7 · outbound

This paper cites Functional brain networks reflect spatial and temporal autocorrelation.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Functional brain networks reflect spatial and temporal autocorrelation

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.544726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6444e7e8-047d-4c12-b39d-d78ba102d44a · outbound

This paper cites Functional connectomics from resting-state fmri.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Functional connectomics from resting-state fmri

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.539363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1bf4a0eb-e4b1-48e1-b09a-81c1fce90ae0 · outbound

This paper cites Brain encoding models based on multimodal transformers can transfer across language and vision.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Brain encoding models based on multimodal transformers can transfer across language and vision

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.533213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 01022b2a-bc3d-43e4-884d-aeadf893abb4 · outbound

This paper cites Self-supervised learning of brain dynamics from broad neuroimaging data.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Self-supervised learning of brain dynamics from broad neuroimaging data

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.525843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72793ca4-a915-446a-b8f2-072514ce10ca · outbound

This paper cites Aligning brain functions boosts the decoding of visual semantics in novel subjects.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Aligning brain functions boosts the decoding of visual semantics in novel subjects

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.315372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df67fe4a-1280-49c3-9232-f8bec31ed94d · outbound

This paper cites Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training, 2022.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Videomae: Masked autoencoders are data-efficient learners for self-supervised video pre-training, 2022

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.517774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 73f363cd-db2a-4cfb-a526-1b56bdad42bd · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Training data-efficient image transformers & distillation through attention

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-10T13:07:33.320089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c1c6cb-137d-4393-83bd-9fcd1635cf8a · outbound

This paper cites Van Essen, Stephen M.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Van Essen, Stephen M

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.509775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88922d4c-5fa6-4553-bd46-00eab1228dc9 · outbound

This paper cites Brain network dynamics are hierarchically organized in time.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Brain network dynamics are hierarchically organized in time

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.501697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3f66dfd6-c25d-4129-906b-a1824611d922 · outbound

This paper cites Videomae v2: Scaling video masked autoencoders with dual masking, 2023.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Videomae v2: Scaling video masked autoencoders with dual masking, 2023

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.491998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f17e3cf7-5c50-4696-a986-a43c144e4d83 · outbound

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

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Neural encoding and decoding with deep learning for dynamic natural vision

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.484356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cf8b368-8268-4ccc-90a4-898d9e6f8e94 · outbound

This paper cites Relating transformers to models and neural representations of the hippocampal formation.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Relating transformers to models and neural representations of the hippocampal formation

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.476767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 187805a7-fde8-4c8a-946a-a98482b8a2fe · outbound

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

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Using goal-driven deep learning models to understand sensory cortex

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.469285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33ba22fb-e95b-4d8c-8e43-c3712b21dc41 · outbound

This paper cites Spherical demons: fast diffeomorphic landmark-free surface registration.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments Spherical demons: fast diffeomorphic landmark-free surface registration

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:07:34.460673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bb113908-f7c4-4b5e-8b45-8cef54e9e373 · outbound

This paper cites The organization of the human cerebral cortex estimated by intrinsic functional connectivity.

SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments The organization of the human cerebral cortex estimated by intrinsic functional connectivity

Reference 75

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-10T13:07:33.643706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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