Cross-attention encoding models reveal dynamic spatiotemporal routing across human higher visual cortex

Συγγραφείς: Inabathini, Iishaan, Henderson, Margaret M.

Θεματικοί όροι: Neurons and Cognition, Artificial Intelligence, Machine Learning

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2609.36366

Fine-tuning language encoding models on slow fMRI improves prediction for fast ECoG

Συγγραφείς: Vaidya, Aditya R., Antonello, Richard J., Huth, Alexander G.

Θεματικοί όροι: Computation and Language

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2605.19224

Independent-Component-Based Encoding Models of Brain Activity During Story Comprehension

Συγγραφείς: Hari, Kamya, Binhuraib, Taha, Li, Jin, Shain, Cory, Ivanova, Anna A.

Θεματικοί όροι: Computation and Language, Neurons and Cognition

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2604.24942

Robust Evaluation of Neural Encoding Models via ground-truth approximation

Συγγραφείς: Di Liberto, Giovanni M.

Θεματικοί όροι: Neurons and Cognition

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2604.14694

Greater than the Sum of Its Parts: Building Substructure into Protein Encoding Models

Συγγραφείς: Calef, Robert, Liang, Arthur, Kellis, Manolis, Zitnik, Marinka

Θεματικοί όροι: Quantitative Methods

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2512.18114

LITcoder: A General-Purpose Library for Building and Comparing Encoding Models

Συγγραφείς: Binhuraib, Taha, Gao, Ruimin, Ivanova, Anna A.

Θεματικοί όροι: Computation and Language, Neurons and Cognition

Σύνδεσμος πρόσβασης: https://arxiv.org/abs/2509.09152

Do Feature Representations from Different Language Models Affect Accuracy of Brain Encoding Models' Predictions?

Συγγραφείς: Liu, Muxuan, Kobayashi, Ichiro

Πηγή: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC) Systems, Man, and Cybernetics (SMC), 2024 IEEE International Conference on. :2766-2771 Oct, 2024

Relation: 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

Question-Enhanced for Semantic Representation in Fine-Tuning Pre-Trained Encoding Models for Chinese Event Argument Extraction

Συγγραφείς: Zhou, Xiaolei, Liang, Yulong, Guo, Ruifeng, Sun, Huajun

Πηγή: 2024 10th International Conference on Computer and Communications (ICCC) Computer and Communications (ICCC), 2024 10th International Conference on. :492-497 Dec, 2024

Relation: 2024 10th International Conference on Computer and Communications (ICCC)

Multi-modal brain encoding models for multi-modal stimuli

Συγγραφείς: Oota, Subba Reddy, Pahwa, Khushbu, Marreddy, Mounika, Singh, Maneesh, Gupta, Manish, Raju, Bapi S.

Πηγή: ICLR-2025, Sinapore

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition, Computer Science - Artificial Intelligence, Computer Science - Computation and Language, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Audio and Speech Processing, Electrical Engineering and Systems Science - Image and Video Processing

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2505.20027

Image-grounded encoding models reveal distinct temporal profiles of naturalistic object and scene processing in the human brain

Συγγραφείς: Niklas Müller, H. Steven Scholte, Iris I. A. Groen

Encoding models uncover fine-grained feature selectivity for bodies, hands and tools

Συγγραφείς: Davide Cortinovis, Martin N. Hebart, Stefania Bracci

Πηγή: bioRxiv

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hdl.handle.net/21.11116/0000-0012-EF55-0
https://hdl.handle.net/21.11116/0000-0012-EF57-E

Rapid cortical mapping with cross-participant encoding models

Συγγραφείς: Jerry Tang, Alexander G. Huth

Πηγή: bioRxiv

Θεματικοί όροι: Article

Σύνδεσμος πρόσβασης: https://pmc.ncbi.nlm.nih.gov/articles/PMC13041935/
https://doi.org/10.64898/2026.03.26.714320

BOLDreams: Dreaming with pruned in-silico fMRI Encoding Models of the Visual Cortex

Συγγραφείς: Hussain, Uzair, Uludag, Kamil

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.14854

A comparative study of sensory encoding models for human navigation in virtual reality

Συγγραφείς: Li, Tangyao, Zhan, Qiyuan, Zhu, Yitong, Hou, Bojing, Wang, Yuyang

Θεματικοί όροι: Computer Science - Human-Computer Interaction, Quantitative Biology - Neurons and Cognition

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.06698

Bridging Auditory Perception and Language Comprehension through MEG-Driven Encoding Models

Συγγραφείς: Ciferri, Matteo, Ferrante, Matteo, Toschi, Nicola

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition, Computer Science - Computation and Language, Computer Science - Machine Learning, Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing, Electrical Engineering and Systems Science - Signal Processing

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2501.03246

Image-grounded encoding models reveal distinct temporal profiles of naturalistic object and scene processing in the human brain

Συγγραφείς: Müller, N.

Θεματικοί όροι: Biological Sciences

LinBridge: A Learnable Framework for Interpreting Nonlinear Neural Encoding Models

Συγγραφείς: Gao, Xiaohui, Cheng, Yue, Li, Peiyang, Niu, Yijie, Ren, Yifan, Liu, Yiheng, Sun, Haiyang, Li, Zhuoyi, Xing, Weiwei, Hu, Xintao

Θεματικοί όροι: Quantitative Biology - Neurons and Cognition, Computer Science - Computation and Language

Σύνδεσμος πρόσβασης: http://arxiv.org/abs/2410.20053

Rapid cortical mapping with cross-participant encoding models.

Συγγραφείς: Tang J; Department of Speech, Language, and Hearing Sciences, The University of Texas at Austin, Austin, TX, United States., Huth AG; Department of Statistics, University of California, Berkeley, CA, United States.; Department of Neuroscience, University of California, Berkeley, CA, United States.

Πηγή: Imaging neuroscience (Cambridge, Mass.) [Imaging Neurosci (Camb)] 2026 Sep 03; Vol. 4. Date of Electronic Publication: 2026 Sep 03 (Print Publication: 2026).

Τύπος έκδοσης: Journal Article

Στοιχεία περιοδικού: Publisher: The MIT Press Country of Publication: United States NLM ID: 9918663686606676 Publication Model: eCollection Cited Medium: Internet ISSN: 2837-6056 (Electronic) Linking ISSN: 28376056 NLM ISO Abbreviation: Imaging Neurosci (Camb) Subsets: MEDLINE

Ιατρικοί όροι (MeSH): Brain Mapping*/methods , Cerebral Cortex*/physiology , Cerebral Cortex*/diagnostic imaging , Magnetic Resonance Imaging*/methods , Models, Neurological*, Image Processing, Computer-Assisted/methods ; Humans ; Language ; Semantics

Encoding for Topic Modeling: Comparing Quality of Encoding Models for Topic Mining in Unstructured Textual Data

Συγγραφείς: Ivan Blekanov, Svetlana S. Bodrunova, Li Jing, Mohsin Hassan Khan

Πηγή: Lecture Notes in Networks and Systems ISBN: 9783032130020

Methodological advances in encoding models of brain: Applying temporal response functions to magnetoencephalography for written text perception

Συγγραφείς: Soghoyan, Gurgen ^{a, b, d, ⁎}, Neklyudova, Anastasia ^b, Martynova, Olga ^b, Sysoeva, Olga ^{b, c}

Πηγή: In NeuroImage 1 November 2025 321