Incorporating Context into Language Encoding Models for fMRI
Jain, Shailee, Huth, Alexander G·2018·bioRxiv (Cold Spring Harbor Laboratory)
DOI 10.1101/327601
Cited by (165)
Items 101–165 of 165
- Big Data Prediction in Location-Aware Wireless Caching: A Machine Learning Approach2019
- Non-Complementarity of Information in Word-Embedding and Brain Representations in Distinguishing between Concrete and Abstract Words2021
- Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural NetworksDhanush Dharmaretnam, Chris Foster, Alona Fyshe · 2021 · Neural Networks
- The Voxelwise Modeling framework: a tutorial introduction to fitting encoding models to fMRI dataTom Dupré la Tour, Matteo Visconti di Oleggio Castello, Jack L. Gallant · 2024
- Mind Captioning: Evolving descriptive text of mental content from human brain activity2024
- Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designsInés Schönmann, Jakub Szewczyk, Floris P. de Lange, Micha Heilbron · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
- Language processing in the brain: An fMRI studyAshish Ranjan, Vibhav Prakash Singh · 2024 · Advances in computers
- A unifying computational account of temporal context effects in language across the human cortexVy A. Vo, Shailee Jain, Nicole Beckage, Hsiang-Yun Sherry Chien, Chiadika Obinwa, Alexander G. Huth · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Incremental Accumulation of Linguistic Context in Artificial and Biological Neural Networks2024
- Neural representation of words within phrases: Temporal evolution of color-adjectives and object-nouns during simple composition2020
- How does the brain process syntactic structure while listening?Subba Reddy Oota, Mounika Marreddy, Manish Gupta, Raju Surampudi Bapi · 2023 · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
- Tracking Neural Correlates of Contextualized Meanings with Representational Similarity AnalysisAline-Priscillia Messi, Liina Pylkkänen A · 2025 · Journal of Neuroscience
- What multiplexing means for the interpretation of functional MRI dataCheryl A. Olman · 2023 · Frontiers in Human Neuroscience
- Upgrading Voxel-wise Encoding Model via Integrated Integration over Features and Brain NetworksYuanning Li, Huzheng Yang, Shi Gu · 2022 · bioRxiv (Cold Spring Harbor Laboratory)
- Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehensionRefael Tikochinski, Ariel Goldstein, Yaara Yeshurun, Uri Hasson, Roi Reichart · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Missing links: the functional unification of language and memory (L∪M)Élise Roger, Sonja Banjac, Michel Thiebaut de Schotten · 2021
- When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and DecodingLu Cao, Dandan Huang, Yue Zhang · 2021 · International Joint Conference on Artificial Intelligence
- The impact of musical expertise on disentangled and contextual neural encoding of music revealed by generative music modelsGavin Mischler, Yinghao Aaron Li, Stephan Bickel, Ashesh D. Mehta, Nima Mesgarani · 2025 · Nature Communications
- Large language models implicitly learn to straighten neural sentence trajectories to construct a predictive representation of natural languageEghbal A. Hosseini, Evelina G. Fedorenko · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding during natural listeningInés Schönmann, Jakub Szewczyk, Floris P. de Lange, Micha Heilbron · 2025 · eLife
- Divergences between Language Models and Human BrainsYuchen Zhou, Emmy Liu, Graham Neubig, Michael J. Tarr, Leila Wehbe · 2023 · PubMed
- A tripartite structure of pragmatic language abilities: comprehension of social conventions, intonation processing and causal reasoningSammy Floyd, Olessia Jouravlev, Zachary Mineroff, Moshe Poliak, Edward A. F. Gibson, Evelina G. Fedorenko · 2023
- Decoding Continuous Character-based Language from Non-invasive Brain RecordingsCenyuan Zhang, Xiaoqing Zheng, Ruicheng Yin, Shujie Geng, Jianhan Xu, Xuan Gao, Changze Lv, Zixuan Ling, Xuanjing Huang, Miao Cao et al. · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language ModelsAnuja Negi, Subba Reddy Oota, Anwar O. Núñez-Elizalde, Manish Gupta, Fatma Deniz · 2025 · neural information processing systems
- Cortical response to naturalistic stimuli is largely predictable with deep neural networks2020
- Distributed representation of semantics in the human brain: Evidence from studies using natural language processing techniquesJiahao Jiang, Guoyu ZHAO, Yingbo MA, Guosheng Ding, Lanfang LIU · 2023 · Advances in Psychological Science
- Long-range and hierarchical language predictions in brains and algorithmsCharlotte Caucheteux, Alexandre Gramfort, Jean-Rémi King · 2021 · arXiv (Cornell University)
- Artificial neural network modelling of the neural population code underlying mathematical operations2022
- Representation and Pre-Activation of Lexical-Semantic Knowledge in Neural Language ModelsSteven Derby, Barry J. Devereux, Paul C. Miller · 2021 · Workshop on Cognitive Modeling and Computational Linguistics (CMCL)
- Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language ModelsYuko Nakagi, Takuya Matsuyama, Naoko Koide‐Majima, Hiroto Q. Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Human versus Machine Attention in Deep Reinforcement Learning Tasks.Ruohan Zhang, Bo Liu, Yifeng Zhu, Sihang Guo, Mary Hayhoe, Dana H. Ballard, Peter Stone · 2020 · arXiv (Cornell University)
- Probing Next-Word and Long-Distance Prediction Using Encoding Modelling and MEG2023
- Exploring an EM-algorithm for banded regression in computational neuroscienceSøren A. Fuglsang, Kristoffer Hougaard Madsen, Oula Puonti, Hartwig Roman Siebner, Jens Hjortkjær · 2024 · Imaging Neuroscience
- Bridging Natural Language Processing and psycholinguistics: computationally grounded semantic similarity datasets for Basque and SpanishJosu Goikoetxea, Itziar San Martín, Miren Arantzeta · 2024 · Frontiers in Language Sciences
- Modelling brain representations of abstract conceptsDANIEL H. KAISER, Arthur M. Jacobs, Radoslaw Martin Cichy · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Voxelwise encoding models show that cerebellar language representations are highly conceptual2021
- Stacked regressions and structured variance partitioning for interpretable brain maps2023
- Query the model: precomputations for efficient inference with Bayesian Networks2019
- Exploring an EM-algorithm for banded regression in computational neuroscience2023
- What aspects of NLP models and brain datasets affect brain-NLP alignment?Subba Reddy Oota, Mariya Toneva · 2023 · Conference on Cognitive Computational Neuroscience (CCN)
- Neural encoding of auditory processing in schizophreniaLakshma Reddy Vuyyuru, Anitha Raju · 2026 · Frontiers in Neuroscience
- Investigating Neural Fit Approaches for Sentence Embedding Model ParadigmsHelena Balabin, Antonietta Gabriella Liuzzi, Jingyuan Sun, Patrick J. Dupont, Rik R. Vandenberghe, Marie‐Francine Moens · 2023 · Frontiers in artificial intelligence and applications
- Modelling non-native speech perception using automatic speech processingJuliette Millet · 2022 · theses.fr (ABES)
- Spatio-temporal Characteristics of Noun and Verb Processing during Sentence Comprehension in the BrainSharmistha Jat, Erika J.C. Laing, Partha Pratim Talukdar, Tom M. Mitchell · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
- Spatial demonstratives in brain and behaviorRoberta Rocca · 2020
- What are you talking about? Representation of the Topic of Speech in the Human BrainAdam Boncz, Brigitta Tóth, István Winkler · 2024 · bioRxiv (Cold Spring Harbor Laboratory)
- Distinct yet neighboring neural populations encode past, future, and surrounding speech context in the human temporal lobeMarianne de Heer Kloots, Atlas Kazemian, William Turner, Josef Parvizi, Laura Gwilliams · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
- Decoding concept representations in aphasia after strokeJerry Tang, Carly Millanski, Allen Chen, Lisa Wauters, Jordyn Anders, Shilpa Shamapant, Stephen M. Wilson, Alexander G. Huth, Maya L. Henry · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
- Convolutional neural networks reveal topic-level representations of sentences in medial prefrontal cortex, lateral anterior temporal lobe, precuneus, and angular gyrusDavid J. Acunzo, Daniel M. Low, Scott Laurence Fairhall · 2021
- Representational StructureLisa Beinborn, Nora Hollenstein · 2023 · Synthesis lectures on human language technologies
- Low-Rank Tensor Encoding Models Decompose Natural Speech Comprehension ProcessesLane Lewis, Xaq Pitkow, Leila Wehbe · 2025 · bioRxiv (Cold Spring Harbor Laboratory)
- Functional MRI Investigation on Paradigmatic and Syntagmatic Lexical Semantic ProcessingSongsheng Ying, Sabine Ploux · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
- The human language processing system straightens natural speechJiaming Xu, Tien Dung Nguyen, Jerry Tang, Alexander G. Huth, Robbe L. T. Goris · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
- From Brainwaves to Language and Vision: A Comprehensive Study on EEG and fMRI-Based Neural DecodingPranav Rao Pernankil, Rishi Rao, Rachit Raam Guruprasad, Parnika Bhaskar Madapura, Gokul Krishnan, Pooja Rani Agarwal · 2026 · International Conference on Software and Computer Applications (ICSCA)
- Behavioral correlates of cortical semantic representations modeled by word vectors2020
- Context and Attention Shape Electrophysiological Correlates of Speech-to-Language TransformationAndrew James Anderson, Chris Davis, Edmund C. Lalor · 2023 · bioRxiv (Cold Spring Harbor Laboratory)
- Data-driven modeling of the neural dynamics underlying language processingJulia Berezutskaya · 2020
- Language Models and Brain Alignment: Brain Encoding and DecodingSubba Reddy Oota, Raju Surampudi Bapi · 2024 · Joint International Conference on Data Science & Management of Data (CODS-COMAD)
- Cognitive Signals of Language ProcessingLisa Beinborn, Nora Hollenstein · 2023 · Synthesis lectures on human language technologies
- The impact of musical expertise on disentangled and contextual neural encoding of music revealed by generative music models2024
- Linking artificial and human neural representations of languageJon Gauthier, Roger Lévy · 2019 · arXiv (Cornell University)
- Neural coding of uncertainty during statistical learning in humans : a study using ultra-high field functional magnetic resonance imagingTiffany Bounmy · 2022
- Family Lexicon: using language models to encode memories of personally familiar and famous people and places in the brain2023
- Constraint satisfaction in large language modelsCassandra L. Jacobs, Maryellen C. MacDonald · 2024
- A Review of Multimodal Brain Language DecodingYixuan Tang · 2025 · Lecture Notes in Education Psychology and Public Media