Papers and pre-prints
Here are links to papers that use NSD
data.
- Fractional Ridge Regression: a
Fast, Interpretable Reparameterization of Ridge
Regression.
Rokem, A. & Kay, K. GigaScience (2020).
- Extensive sampling for complete
models of individual brains.
Naselaris, T., Allen, E., & Kay, K. Current Opinion in Behavioral
Sciences (2021).
- A massive 7T fMRI dataset to bridge
cognitive neuroscience and artificial intelligence.
Allen, St-Yves, Wu, Breedlove, Prince, Dowdle, Nau,
Caron, Pestilli, Charest, Hutchinson, Naselaris*,
& Kay*. Nature Neuroscience (2022).
- NeuroGen: activation optimized
image synthesis for discovery neuroscience.Gu,
Z., Jamison, K.W., Khosla, M., Allen, E.J., Wu, Y.,
Naselaris, T., Kay, K., Sabuncu, M.R., Kuceyeski, A.NeuroImage (2022).
- Non-Neural Factors Influencing BOLD
Response Magnitudes within Individual Subjects.Kurzawski,
J.W., Gulban, O.F., Jamison, K., Winawer, J.*, Kay,
K.* Journal of Neuroscience
(2022).
- Improving the accuracy of
single-trial fMRI response estimates using
GLMsingle.Prince,
J.S., Charest, I., Kurzawski, J.W., Pyles, J.A., Tarr,
M.J., Kay, K.N. eLife (2022).
- Personalized visual encoding model
construction with small data.Zijin
Gu, Keith Jamison, Mert Sabuncu, and Amy KuceyeskiCommunications Biology
(2022).
- Selectivity for food in human
ventral visual cortex.Nidhi
Jain, Aria Wang, Margaret M. Henderson, Ruogu Lin,
Jacob S. Prince, Michael J. Tarr, and Leila WehbeCommunications Biology (2023).
- Short-term plasticity in the human
visual thalamus.Jan W
Kurzawski, Claudia Lunghi, Laura Biagi, Michela
Tosetti, Maria Concetta Morrone, Paola BindaeLife (2022).
- Color-biased regions in the ventral
visual pathway are food selective.Pennock,
I.M.L., Racey, C., Allen, E.J., Wu, Y., Naselaris, T.,
Kay, K.N., Franklin, A., Bosten, J.M.Current Biology (2022).
- Multiple Traces and Altered
Signal-to-Noise in Systems Consolidation:
Complementary Evidence from the 7T fMRI Natural
Scenes Dataset.Vanasse,
T.J., Boly, M., Allen, E.J., Wu, Y., Naselaris, T.,
Kay, K., Cirelli, C., Tononi, G.PNAS (2022).
- The risk of bias in data denoising
methods: examples from neuroimaging.Kay,
K.PLoS One (2022).
- A Highly Selective Response to Food
in Human Visual Cortex Revealed by Hypothesis-Free
Voxel Decomposition.Meenakshi Khosla,
N. Apurva Ratan Murty, Nancy
G KanwisherCurrent Biology (2022).
- Low-level tuning biases in higher
visual cortex reflect the semantic informativeness
of visual features.Margaret
Henderson, Michael J. Tarr, Leila WehbeJournal of Vision (2023).
- Re-expression of CA1 and entorhinal
activity patterns preserves temporal context memory
at long timescales.Futing
Zou, Wanjia Guo, Emily J. Allen, Yihan Wu, Ian
Charest, Thomas Naselaris, Kendrick Kay, Brice A.
Kuhl, J. Benjamin Hutchinson, Sarah DuBrowNature Communications (2023).
- A texture statistics encoding model
reveals hierarchical feature selectivity across
human visual cortex.Margaret
M. Henderson, Michael J. Tarr,
Leila WehbeJournal of Neuroscience
(2023).
- Natural scene sampling reveals
reliable coarse-scale orientation tuning in human
V1.Roth,
Z.N., Kay, K.*, Merriam, E.P.*Nature Communications (2022).
- Representations in human primary
visual cortex drift over time.Roth,
Z.N., Merriam, E.P.Nature Communications (2023).
- Human brain responses are modulated
when exposed to optimized natural images or
synthetically generated imagesZijin
Gu, Keith Jamison, Mert R. Sabuncu, and Amy KuceyeskiCommunications Biology
(2023).
- Brain-optimized deep neural
networks of human visual areas learn
non-hierarchical representations.St-Yves,
G., Allen, E.J., Wu, Y., Kay, K.*, Naselaris, T.* Nature Communications (2023).
- Natural scene reconstruction from
fMRI signals using generative latent diffusionFurkan
Ozcelik and Rufin VanRullen.Scientific Reports (2023).
- Better models of human high-level
visual cortex emerge from natural language
supervision with a large and diverse dataset.Wang,
A.Y., Kay, K., Naselaris, T., Tarr, M.J., Wehbe, L.Nature Machine Intelligence
(2023).
- Encoding of Visual Objects in the
Human Medial Temporal LobeYue
Wang, Runnan Cao and Shuo WangJournal of Neuroscience
(2024).
- Mind-bridge: reconstructing visual
images based on diffusion model from human brain
activityQing
Liu, Hongqing Zhu, Ning Chen, Bingcang Huang, Weiping
Lu & Ying WangSignal, Image and Video
Processing (2024)
- A unifying framework for functional
organization in early and higher ventral visual
cortexEshed
Margalit, Hyodong Lee, Dawn Finzi, James J. DiCarlo,
Kalanit Grill-Spector, Daniel L.K. YaminsNeuron (2024).
- Natural scenes reveal diverse
representations of 2D and 3D body pose in the human
brainHongru
Zhu, Yijun Ge, Alexander Bratch, Alan Yuille, Kendrick
Kay, Daniel KerstenPNAS (2024).
- Retrieving and reconstructing
conceptually similar images from fMRI with latent
diffusion models and a neuro-inspired brain decoding
modelMatteo
Ferrante, Tommaso Boccato, Luca Passamonti, and Nicola
ToschiJournal of Neural Engineering
(2024).
- Large-scale parameters framework
with large convolutional kernel for encoding visual
fMRI activity informationShuxiao
Ma, Linyuan Wang, Senbao Hou, Chi Zhang, Bin YanCerebral Cortex (2024).
- Primate brain: A unique connection
between dorsal and ventral visual cortexJason
D. YeatmanCurrent Biology (2024).
- Frontostriatal salience network
expansion in individuals in depressionCharles
J. Lynch, Immanuel G. Elbau, Tommy Ng, Aliza Ayaz,
Shasha Zhu, Danielle Wolk, Nicola Manfredi, Megan
Johnson, Megan Chang, Jolin Chou, Indira Summerville,
Claire Ho, Maximilian Lueckel, Hussain Bukhari,
Derrick Buchanan, Lindsay W. Victoria, Nili Solomonov,
Eric Goldwaser, Stefano Moia, Cesar Caballero-Gaudes,
Jonathan Downar, Fidel Vila-Rodriguez, Zafiris J.
Daskalakis, Daniel M. Blumberger, Kendrick Kay, Amy
Aloysi, Evan M. Gordon, Mahendra T. Bhati, Nolan
Williams, Jonathan D. Power, Benjamin Zebley, Logan
Grosenick, Faith M. Gunning & Conor ListonNature (2024).
- Contrastive learning explains the
emergence and function of visual category-selective
regionsJacob
S. Prince, George
A. Alvarez, and Talia
KonkleScience Advances (2024).
- A large-scale examination of
inductive biases shaping high-level visual
representation in brains and machinesColin
Conwell, Jacob S. Prince, Kendrick N. Kay, George A.
Alvarez & Talia KonkleNature Communications (2024).
- NeuralDiffuser:
Neuroscience-inspired Diffusion Guidance for fMRI
Visual ReconstructionHaoyu
Li, Hao Wu, Badong ChenIEEE Transactions on Image
Processing (2025).
- Unraveling the Differential
Efficiency of Dorsal and Ventral Pathways in Visual
Semantic DecodingWei
Huang, Ying Tang, Sizhuo Wang, Jingpeng Li, Kaiwen
Cheng, and Hongmei YanInternational Journal of Neural
Systems (2025).
- The human social cognitive network
contains multiple regions within the amygdala.
Edmonds, D., Salvo, J.J., Anderson, N., Lakshman, M.,
Yang, Q., Kay, K., Zelano, C., Braga, R.M. Science Advances (2024).
- Situating the salience and parietal
memory networks in the context of multiple parallel
distributed networks using precision functional
mapping. Kwon, Y.H., Salvo, J.J., Anderson,
N.L., Edmonds, D., Holubecki, A.M., Lakshman, M., Yoo,
K., Yeo B.T.T., Kay, K., Gratton, C., Braga, R.M. Cell Reports (2025).
- NeuroFusionNet: cross-modal
modeling from brain activity to visual
understanding. Kehan Lang, Jianwei Fang,
Guangyao Su. Frontiers in
Computational Neuroscience (2025).
- Memory recall: Retrieval-Augmented
mind reconstruction for brain decoding. Yuxiao
Zhao, Guohua Dong, Lei Zhu, Xiaomin Ying. Information Fusion (2025).
Here are links to
conference papers and pre-prints that use NSD data.
- What can 5.17 billion regression
fits tell us about artificial models of the human
visual system?Colin
Conwell, Jacob S. Prince, George A. Alvarez, Talia
KonkleNeurIPS SVRHM workshop
(2021).
- Large-Scale Benchmarking of Diverse
Artificial Vision Models in Prediction of 7T Human
Neuroimaging Data.Colin
Conwell, Jacob S. Prince, George A.
Alvarez, Talia KonklebioRxiv (2022).
- High-level visual areas act like
domain-general filters with strong selectivity and
functional specialization.Meenakshi
Khosla, Leila WehbebioRxiv (2022).
- Semantic scene descriptions as an
objective of human visionDoerig, A.,
Kietzmann, T.C., Allen, E., Wu, Y., Naselaris, T.,
Kay, K., Charest, I.arXiv (2022).
- Mind Reader: Reconstructing complex
images from brain activities.Sikun Lin,
Thomas Sprague, Ambuj K Singh.arXiv (2022).
- High-resolution image
reconstruction with latent diffusion models from
human brain activity.Takagi,
Y., Nishimoto, S.bioRxiv (2022).
- Decoding natural image stimuli from
fMRI data with a surface-based convolutional
network.Zijin
Gu, Keith Jamison, Amy Kuceyeski, Mert
SabuncuarXiv (2022).
- Sample Reweighting for Label
Denoising of Neural Activity DataDongfang
Xu, Rong ChenIEEE/EMBS Conference on Neural
Engineering (2023)
- The Algonauts Project 2023
Challenge: How the Human Brain Makes Sense of
Natural Scenes.A.T. Gifford,
B. Lahner, S. Saba-Sadiya, M.G. Vilas, A. Lascelles,
A. Oliva, K. Kay, G. Roig, R.M. Cichy.arXiv (2023).
- Neural Selectivity for Real-World
Object Size In Natural ImagesAndrew
F. Luo, Leila Wehbe, Michael J. Tarr,
Margaret M. HendersonbioRxiv (2023)
- MindDiffuser: Controlled Image
Reconstruction from Human Brain Activity with
Semantic and Structural DiffusionYizhuo Lu,
Changde Du, Dianpeng Wang, Huiguang HearXiv (2023).
- The transition from vision to
language: distinct patterns of functional
connectivity for sub-regions of the visual word form
areaMaya Yablonski, Iliana
I Karipidis, Emily Kubota, Jason
D YeatmanbioRxiv (2023).
- Reconstructing seen images from
human brain activity via guided stochastic searchReese
Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas
NaselarisarXiv (2023).
- BrainCLIP: Bridging Brain and
Visual-Linguistic Representation Via CLIP for
Generic Natural Visual Stimulus DecodingYulong
Liu, Yongqiang Ma, Wei Zhou, Guibo Zhu, Nanning ZhengarXiv (2023).
- Brain Captioning: Decoding human
brain activity into images and textMatteo
Ferrante, Furkan Ozcelik, Tommaso Boccato, Rufin
VanRullen, Nicola ToschiarXiv (2023).
- A Unifying Principle for the
Functional Organization of Visual CortexEshed
Margalit, Hyodong Lee, Dawn Finzi, James J. DiCarlo,
Kalanit Grill-Spector, Daniel L. K. YaminsarXiv (2023).
- Reconstructing the Mind’s Eye:
fMRI-to-Image with Contrastive Learning and
Diffusion PriorsPaul S.
Scotti*, Atmadeep Banerjee*, Jimmie Goode, Stepan
Shabalin, Alex Nguyen, Ethan Cohen, Aidan J. Dempster,
Nathalie Verlinde, Elad Yundler, David Weisberg,
Kenneth A. Norman*, and Tanishq Mathew Abraham*arXiv (2023).
- Brain Dissection: fMRI-trained
Networks Reveal Spatial Selectivity in the
Processing of Natural ImagesGabriel
H. Sarch, Michael J. Tarr, Katerina Fragkiadaki, Leila
WehbearXiv (2023).
- Second Sight: Using brain-optimized
encoding models to align image distributions with
human brain activityReese
Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas
NaselarisarXiv (2023).
- Brain Diffusion for Visual
Exploration: Cortical Discovery using Large Scale
Generative Models.Andrew F. Luo,
Margaret M. Henderson, Leila Wehbe, Michael J. TarrarXiv (2023). [NeurIPS
2023 (Oral)].
- Improving visual image
reconstruction from human brain activity using
latent diffusion models via multiple decoded inputs.Yu Takagi,
Shinji NishimotoarXiv (2023).
- DreamCatcher: Revealing the
Language of the Brain with fMRI using GPT EmbeddingSubhrasankar
Chatterjee, Debasis SamantaarXiv (2023).
- What can 1.8 billion regressions
tell us about the pressures shaping high-level
visual representation in brains and machines?Colin
Conwell, Jacob S. Prince, Kendrick N. Kay, George A.
Alvarez, Talia KonklebioRxiv (2023)
- THE ALGONAUTS PROJECT 2023
CHALLENGE: UARK-UALBANY TEAM SOLUTIONXuan Bac
Nguyen, Xudong Liu, Xin Li, Khoa LuuarXiv (2023)
- Memory Encoding ModelHuzheng
Yang, James Gee, Jianbo ShiarXiv (2023)
- Applicability of scaling laws to
vision encoding modelsTakuya
Matsuyama, Kota S Sasaki, Shinji NishimotoarXiv (2023).
- A contrastive coding account of
category selectivity in the ventral visual streamJacob
S. Prince, George A. Alvarez,
Talia KonklebioRxiv (2023).
- Predicting brain activity using
TransformersHossein
Adeli, Sun Minni, Nikolaus KriegeskortebioRxiv (2023).
- A Parameter-efficient Multi-subject
Model for Predicting fMRI ActivityConnor
Lane, Gregory KiararXiv (2023).
- Expansion of a frontostriatal
salience network in individuals with depressionCharles
J. Lynch, I. Elbau, Tommy Ng, Aliza Ayaz, Shasha Zhu,
Nicola Manfredi, Megan A. Johnson, Daniel L Wolk,
Jonathan D. Power, E. Gordon, Kendrick Norris Kay, A.
Aloysi, Stefano Moia, C. Caballero-Gaudes, L.
Victoria, N. Solomonov, E. Goldwaser, Benjamin Zebley,
L. Grosenick, J. Downar, F. Vila-Rodriguez, Z.
Daskalakis, D. Blumberger, N. Williams, F. Gunning, C.
ListonbioRxiv (2023).
- UniBrain: Unify Image
Reconstruction and Captioning All in One Diffusion
Model from Human Brain ActivityWeijian
Mai, Zhijun ZhangarXiv (2023).
- A Multimodal Visual Encoding Model
Aided by Introducing Verbal Semantic InformationMa
Shuxiao, Wang Linyuan, Yan BinarXiv (2023).
- Through their eyes: multi-subject
Brain Decoding with simple alignment techniquesMatteo
Ferrante, Tommaso Boccato, and Nicola ToschiarXiv (2023).
- Direct perception of affective
valence from visionSaeedeh
Sadeghi, Zijin Gu, Eve DeRosa, Amy
Kuceyeski, Adam
K. AndersonpsyArXiv (2023).
- Dissociable contributions of the
medial parietal cortex to recognition memorySeth
R. Koslov, Joseph W. Kable, & Brett L. FosterbioRxiv (2023).
- UNIDIRECTIONAL BRAIN-COMPUTER
INTERFACE: ARTIFICIAL NEURAL NETWORK ENCODING
NATURAL IMAGES TO fMRI RESPONSE IN THE VISUAL CORTEXRuixing
Liang, Xiangyu Zhang, Qiong Li, Lai Wei, Hexin Liu,
Avisha Kumar, Kelley M. Kempski Leadingham, Joshua
Punnoose, Leibny Paola Garcia, Amir ManbachiarXiv (2023).
- Cortical and subcortical brain
networks predict prevailing heart rateAmy
Isabella Sentis, Javier Rasero, Peter
J. Gianaros, Timothy D. VerstynenbioRxiv (2023).
- DREAM: Visual Decoding from
REversing HumAn Visual SysteMWeihao
Xia, Raoul de Charette, Cengiz Oztireli, Jing-Hao XuearXiv (2023).
- BrainSCUBA: Fine-Grained Natural
Language Captions of Visual Cortex SelectivityAndrew F. Luo,
Margaret M. Henderson, Michael J. Tarr, Leila WehbearXiv (2023).
- IDENTIFYING INTERPRETABLE VISUAL
FEATURES INARTIFICIAL AND BIOLOGICAL NEURAL
SYSTEMSDavid
Klindt, Sophia Sanborn, Francisco Acosta, Fr ́ed ́eric
Poitevin, Nina MiolanearXiv (2023).
- fMRI-PTE: A Large-scale fMRI
Pretrained Transformer Encoder for Multi-Subject
Brain Activity DecodingXuelin Qian,
Yun Wang, Jingyang Huo, Jianfeng Feng, Yanwei FuarXiv (2023).
- BRAIN DECODING: TOWARD REAL-TIME
RECONSTRUCTION OF VISUAL PERCEPTIONYohann
Benchetrit, Hubert Banville, Jean-Remi KingarXiv (2023).
- Soft Matching Distance: A metric on
neural representations that captures single-neuron
tuningMeenakshi
Khosla, Alex H. WilliamsarXiv (2023).
- Brainformer: Modeling MRI Brain
Functions to Machine VisionXuan-Bac
Nguyen , Xin Li, Samee U. Khan, Khoa LuuarXiv (2023)
- Brain Decodes Deep NetsHuzheng
Yang, James Gee*, Jianbo Shi*arXiv (2023)
- OneLLM: One Framework to Align All
Modalities with LanguageJiaming
Han, Kaixiong Gong, Yiyuan Zhang, Jiaqi Wang, Kaipeng
Zhang,Dahua Lin,
Yu Qiao, Peng Gao, Xiangyu YuearXiv (2023).
- Lite-Mind: Towards Efficient and
Versatile Brain Representation NetworkZixuan
Gong, Qi Zhang, Duoqian Miao, Guangyin Bao, Liang HuarXiv (2023).
- Multimodal decoding of human brain
activity into images and textMatteo
Ferrante, Tommaso Boccato, Furkan Ozcelik, Rufin
VanRullen, Nicola ToschiNeurIPS (2023).
- ALIGNING BRAIN FUNCTIONS BOOSTS THE
DECODING OF VISUAL SEMANTICS IN NOVEL SUBJECTSAlexis
Thual, Yohann Benchetrit, Felix Geilert, Jeremy Rapin,
Iurii Makarov, Hubert Banville, Jean-Remi KingarXiv (2023).
- Brain-optimized inference improves
reconstructions of fMRI brain activityReese
Kneeland, Jordyn Ojeda, Ghislain St-Yves, Thomas
NaselarisarXiv (2023).
- Body Cosmos: An Immersive
Experience Driven by Real-Time Bio-DataRem
RunGu Lin; Yongen Ke; Kang ZhangIEEE VIS Arts Program (VISAP)
(2023).
- MinD-3D: Reconstruct High-quality
3D objects in Human BrainJianxiong
Gao, Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng,
Yanwei FuarXiv (2023).
- A single computational objective
drives specialization of streams in visual cortexDawn
Finzi, Eshed Margalit, Kendrick Kay, Daniel L. K.
Yamins, Kalanit Grill-SpectorbioRxiv (2023).
- Evaluation of Representational
Similarity Scores Across Human Visual CortexFrancisco
Acosta, Colin Conwell, Sophia
Sanborn, David A. Klindt, Nina MiolaneNeurIPS (2023).
- A randomized algorithm to solve
reduced rank operator regressionGiacomo
Turri*, Vladimir Kostic*, Pietro Novelli*, and
Massimiliano PontilarXiv (2023).
- Aligned with LLM: a new multi-modal
training paradigm for encoding fMRI activity in
visual cortexShuxiao
Ma, Linyuan Wang, Senbao Hou, Bin YanarXiv (2024).
- Recent statistics shift object
representations in parahippocampal cortexSolomon,
S.H., Kay, K., & Schapiro, A.C.bioRxiv (2024).
- Parsing Brain Network
Specialization: A Replication and Expansion of Wang
et al. (2014)Madeline
Peterson, Dorothea L. Floris, and Jared A. NielsenbioRxiv (2024).
- CLIP-MUSED: CLIP-GUIDED
MULTI-SUBJECT VISUAL NEURAL INFORMATION SEMANTIC
DECODINGQiongyi
Zhou, Changde Du, Shengpei Wang and Huiguang HeICLR (2024).
- NeuralDiffuser: Controllable fMRI
Reconstruction with Primary Visual Feature Guided
DiffusionHaoyu Li,
Hao Wu, Badong ChenarXiv (2024).
- Visual Image Reconstruction from
Human Brain Activity using Linear Image Decoders
plus Nonlinear Noise SuppressionQiang
LibioRxiv (2024).
- See Through Their Minds: Learning
Transferable Neural Representation from
Cross-Subject fMRI Yulong
Liu, Yongqiang Ma, Guibo Zhu, Haodong Jing, and
Nanning ZhengarXiv (2024).
- Inter-individual and inter-site
neural code conversion and image reconstruction
without shared stimuliHaibao
Wang, Jun Kai Ho, Fan L. Cheng, Shuntaro C. Aoki,
Yusuke Muraki, Misato Tanaka, Yukiyasu KamitaniarXiv (2024).
- NeuroPictor: Refining fMRI-to-Image
Reconstruction via Multi-individual Pretraining and
Multi-level ModulationJingyang
Huo, Yikai Wang, Xuelin Qian, Yun Wang, Chong Li,
Jianfeng Feng, Yanwei FuarXiv (2024).
- Psychometry: An Omnifit Model for
Image Reconstruction from Human Brain ActivityRuijie Quan,
Wenguan Wang, Zhibo Tian, Fan Ma, Yi YangarXiv (2024).
- Reconstructing Retinal Visual
Images from 3T fMRI Data Enhanced by Unsupervised
LearningYujian Xiong,
Wenhui Zhu, Zhong-Lin Lu, Yalin WangarXiv (2024).
- Unified Multimodal Decoding of
Brain SignalsWeihao
Xia, Raoul de Charette, Cengiz Oztireli, Jing-Hao XuearXiv (2024).
- MindBridge: A Cross-Subject Brain
Decoding FrameworkShizun
Wang, Songhua Liu, Zhenxiong Tan, Xinchao WangarXiv (2024).
- Functional Brain-to-Brain
Transformation with No Shared DataNavve
Wasserman, Roman Beliy, Roy Urbach, and Michal IraniarXiv (2024).
- MindTuner: Cross-Subject Visual
Decoding with Visual Fingerprint and Semantic
CorrectionZixuan Gong,
Qi Zhang, Guangyin Bao, Lei Zhu, Ke Liu, Liang Hu,
Duoqian MiaoarXiv (2024).
- Wills Aligner: A Robust
Multi-Subject Brain Representation LearnerGuangyin Bao,
Zixuan Gong, Qi Zhang, Jialei Zhou, Wei Fan, Kun Yi,
Usman Naseem, Liang Hu, Duoqian MiaoarXiv (2024).
- Integrated Gradient Correlation: a
Dataset-wise Attribution MethodPierre
Lelièvre, Chien-Chung ChenarXiv (2024).
- Disentangling signal and noise in
neural responses through generative modelingKay,
K., Prince, J.S., Gebhart, T., Tuckute, G., Zhou, J.,
Naselaris, T., Schutt, H.bioRxiv (2024).
- Neuro-Vision to Language: Image
Reconstruction and Language enabled Interaction via
Brain RecordingsGuobin Shen,
Dongcheng Zhao, Xiang He, Linghao Feng, Yiting Dong,
Jihang Wang, Qian Zhang and Yi ZengarXiv (2024).
- Automating the Diagnosis of Human
Vision Disorders by Cross-modal 3D GenerationLi Zhang,
Yuankun Yang, Ziyang Xie, Zhiyuan Yuan, Jianfeng Feng,
Xiatian Zhu, and Yu-Gang JiangarXiv (2024)
- MindShot: Brain Decoding Framework
Using Only One ImageShuai Jiang,
Zhu Meng, Delong Liu, Haiwen Li, Fei Su and Zhicheng
ZhaoarXiv (2024).
- MindFormer: A Transformer
Architecture for Multi-Subject Brain Decoding via
fMRIInhwa Han,
Jaayeon Lee, Jong Chul YearXiv (2024).
- MindSemantix: Deciphering Brain
Visual Experiences with a Brain-Language ModelZiqi Ren, Jie
Li, Xuetong Xue, Xin Li, Fan Yang, Zhicheng Jiao,
Xinbo GaoarXiv (2024).
- The Wisdom of a Crowd of Brains: A
Universal Brain EncoderRoman Beliy,
Navve Wasserman, Amit Zalcher, Michal IraniarXiv (2024)
- Neuro-Vis: Guided Complex Image
Reconstruction from Brain Signals Using Multiple
Semantic and Perceptual ControlsGabriela
M. Balisacan, Anne Therese A. PauloCMLDS '24: Proceedings of the
International Conference on Computing, Machine
Learning and Data Science (2024)
- Privileged representational axes in
biological and artificial neural networksMeenakshi
Khosla, Alex H Williams, Josh McDermott, Nancy
KanwisherbioRxiv (2024).
- BrainMAE: A Region-aware
Self-supervised Learning Framework for Brain SignalsYifan
Yang, Yutong Mao, Xufu Liu, Xiao LiuarXiv (2024).
- AlignedCut: Visual Concepts
Discovery on Brain-Guided Universal Feature SpaceHuzheng
Yang, James Gee*, Jianbo Shi*arXiv
(2024)
- MindLDM: Reconstruct Visual Stimuli
from fMRI Using Latent Diffusion ModelJunhao
Guo; Chanlin Yi; Fali Li; Peng Xu; Yin Tian2024 IEEE International
Conference on Computational Intelligence and Virtual
Environments for Measurement Systems and
Applications (CIVEMSA) (2024)
- NeuroBind: Towards Unified
Multimodal Representations for Neural SignalsFengyu Yang,
Chao Feng, Daniel Wang, Tianye Wang, Ziyao Zeng,
Zhiyang Xu, Hyoungseob Park, Pengliang Ji, Hanbin
Zhao, Yuanning Li, Alex WongarXiv (2024).
- Neural 3D decoding for human vision
diagnosisLi Zhang,
Yuankun Yang, Ziyang Xie, Zhiyuan Yuan, Jianfeng Feng,
Xiatian Zhu, Yu-Gang
JiangarXiv (2024).
- Temporal asymmetry of neural
representations predicts memory decisionsZhifang
Ye, Yufei Zhao, Emily J. Allen, Thomas Naselaris,
Kendrick Kay, J. Benjamin Hutchinson, Brice A. KuhlbioRxiv (2024).
- Hierarchical Quantum Control Gates
for Functional MRI UnderstandingXuan-Bac
Nguyen, Hoang-Quan Nguyen, Hugh Churchill, Samee U.
Khan, Khoa LuuarXiv (2024).
- UNIVERSAL DIMENSIONS OF VISUAL
REPRESENTATIONZirui Chen
& Michael F. BonnerarXiv (2024).
- FedMinds: Privacy-Preserving
Personalized Brain Visual DecodingGuangyin Bao,
Duoqian MiaoarXiv (2024).
- Efficient fMRI and Textual
Alignment for ImageReconstruction from Human Brain
ActivityBich-Nga
Pham, Trong-Tai Dam Vu, Anh-Khoa Nguyen Vu, Vinh-Tiep
NguyenResearch Square (2024).
- UNIVERSAL SCALE-FREE
REPRESENTATIONS IN HUMAN VISUAL CORTEXRaj Magesh
Gauthaman, Brice Ménard, Michael F. BonnerarXiv (2024).
- fMRI-3D: A Comprehensive Dataset
for Enhancing fMRI-based 3D ReconstructionJianxiong Gao,
Yuqian Fu, Yun Wang, Xuelin Qian, Jianfeng Feng,
Yanwei FuarXiv (2024).
- Unsupervised alignment reveals
structural commonalities and differences in neural
representations of natural scenes across individuals
and brain areasKen
Takeda, Kota Abe, Jun Kitazono, Masafumi OizumibioRxiv (2024).
- Positive and Negative Retinotopic
Codes in the Human HippocampusPeter
A Angeli, Adam Steel, Edward H Silson, Caroline E
RobertsonbioRxiv (2024).
- Decoding the Echoes of Vision from
fMRI: Memory Disentangling for Past Semantic
InformationRunze Xia,
Congchi Yin, Piji LiarXiv (2024).
- On the Stability of Reduced-Rank
Ridge RegressionDavid
Degras, Thomas Chapalain, Bertrand ThirionEUSIPCO 2024 - 32nd European
signal processing conference (2024).
- Generalizability analysis of deep
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Sample data acquired on the 8 subjects:
T1-weighted 0.8-mm isotropic MRI,
T2-weighted 0.8-mm isotropic MRI,
T2*-weighted (EPI) 1.8-mm isotropic fMRI