Cortex-Canvas: An Interactive Web Interface for Executing and Evaluating Models of Category-Selective Regions in Human Visual Cortex

Authors: Wang, Ruolin, Li, Yuxuan, Deb, Mayukh, Reddy Dudipala, Kushal, Ravikanti, Kruthik, Chillarege, Sanjana, Bhanushali, Arya, Koushik, Ranjani, Katiyar, Aashraya, Ratan Murty, N Apurva

Source: Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. :1-7

Availability: http://dl.acm.org/doi/10.1145/3772363.3798548

From Contrasts to Representations: Rethinking fMRI Approaches for Cortico-Cerebellar Networks

Authors: Irving, Carolyn N.^{Aff1, IDs12311026020998_cor1}, King, Maedbh^Aff2, LeBel, Amanda^Aff1

Source: The Cerebellum. 25(5)

Retinal processing of natural scenes: challenges ahead

Authors: Virgili, Samuele ^⁎, Marre, Olivier ^⁎

Source: In Vision Research April 2026 241

Linguistic coupling between neural systems for speech production and comprehension during real-time dyadic conversations

Authors: Zada, Zaid ^{1, 2, 10, ∗}, Nastase, Samuel A. ³, Speer, Sebastian ^{1, 2}, Mwilambwe-Tshilobo, Laetitia ^{1, 4, 5}, Tsoi, Lily ⁶, Burns, Shannon M. ^{7, 8}, Falk, Emily ^{4, 5, 9}, Hasson, Uri ^{1, 2}, Tamir, Diana I. ¹

Source: In Neuron 18 February 2026 114(4):774-787

Using computational semantics to study meaning in the brain

Authors: Fodor, James ^{a, ⁎}, Suzuki, Shinsuke ^b

Source: In Neuroscience and Biobehavioral Reviews February 2026 181

Stimulus dependencies—rather than next-word prediction—can explain pre-onset brain encoding in naturalistic listening designs

Authors: Inés Schönmann, Jakub Szewczyk, Floris P de Lange, Micha Heilbron

Source: eLife, Vol 14 (2026)

Subject Terms: language models, prediction, encoding models, MEG, predictive processing, Medicine, Science, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://elifesciences.org/articles/106543; https://doaj.org/toc/2050-084X

Access URL: https://doaj.org/article/c7da7c0f88b940958fca858010b7e382

Does the brain really know what word is coming next?

Authors: Richard J Antonello

Source: eLife, Vol 15 (2026)

Subject Terms: language models, encoding models, predictive processing, Medicine, Science, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://elifesciences.org/articles/111163; https://doaj.org/toc/2050-084X

Access URL: https://doaj.org/article/fb2fe8edb5dc49789871c87935a2cf44

Mapping meaning in the brain's language

Authors: Brouwer, Harm ^{a, b}

Source: In Cortex January 2026 194:12-21

Low-dimensional GPT-2 features improve cross-narrative prediction of shared fMRI responses

Authors: Karaman, Bayazit

Source: In Journal of Neurolinguistics February 2027 81

An Evaluation of Representational Similarity Analysis for Model Selection and Assessment in Computational Neuroscience

Authors: Chen, Luke^Aff10

Contributors: Goos, Gerhard, Series Editor^Aff1, Hartmanis, Juris, Founding Editor^Aff2, Bertino, Elisa, Editorial Board Member^Aff3, Gao, Wen, Editorial Board Member^Aff4, Steffen, Bernhard, Editorial Board Member^Aff5, Yung, Moti, Editorial Board Member^Aff6, Wallraven, Christian, editor^Aff7, Liu, Cheng-Lin, editor^Aff8, Ross, Arun, editor^Aff9

Source: Pattern Recognition and Artificial Intelligence : 4th International Conference, ICPRAI 2024, Jeju Island, South Korea, July 03-06, 2024, Proceedings, Part II. 14893:47-64

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

Authors: N. Müller

Subject Terms: Biological Sciences, scene processing, object processing, encoding models, Deep neural networks (DNN), electroencephalography (EEG), Image annotations

Availability: https://doi.org/10.21942/uva.32090389.v1
https://figshare.com/articles/journal_contribution/Image-grounded_encoding_models_reveal_distinct_temporal_profiles_of_naturalistic_object_and_scene_processing_in_the_human_brain/32090389

CHARACTERIZING UNOBSERVED FACTORS DRIVING LOCAL FIELD POTENTIAL DYNAMICS UNDERLYING A TIME-VARYING SPIKE GENERATION

Authors: Niknam, Kaiser, Akbarian, Amir, Noudoost, Behrad, Nategh, Neda

Source: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP) Signal and Information Processing (GlobalSIP), 2018 IEEE Global Conference on. :464-468 Nov, 2018

Relation: 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

Feature-space selection with banded ridge regression

Authors: la Tour, Tom Dupré, Eickenberg, Michael, Nunez-Elizalde, Anwar O, Gallant, Jack L

Subject Terms: Biomedical and Clinical Sciences, Health Sciences, Humans, Regression Analysis, Linear Models, Neuroimaging, Encoding models, Regularized regression, Variance decomposition, Group sparsity, Hyperparameter optimization, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery, Biomedical and clinical sciences, Health sciences

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/4p35c15w
https://escholarship.org/content/qt4p35c15w/qt4p35c15w.pdf

Encoding and decoding models

Authors: Senden, Mario, Kroner, Alexander

Source: Encyclopedia of the Human Brain ISBN: 9780128204818

Subject Terms: Multi-stage models, Nonlinear models, Mechanistic models, Algorithmic models, Decoding models, Single-stage models, Process models, Neural information processing, Linking models, Neural representations, Encoding models, Preferred-input models, Probabilistic models, Linear models, Model inversion

Bayesian Comparisons Between Representations

Authors: Heiko H. Schütt

Source: Computational Cognitive Neuroscience Conference Proceedings, Amsterdam, Netherlands [NL], from 11. to 15. of August 2025

Subject Terms: FOS: Computer and information sciences, Sciences sociales & comportementales, psychologie, Computer Science - Machine Learning, Neurosciences & behavior, Bayesian, Quantitative Biology - Quantitative Methods, Machine Learning (cs.LG), Representations, Comparisons, RSA, CKA, Social & behavioral sciences, psychology, FOS: Biological sciences, linear encoding models, Neurosciences & comportement, Quantitative Methods (q-bio.QM)

Access URL: http://arxiv.org/abs/2411.08739
https://orbilu.uni.lu/handle/10993/65580
https://orbilu.uni.lu/bitstream/10993/65580/1/_10_Bayesian_Comparisons_Betwee-2.pdf

A shared model-based linguistic space for transmitting our thoughts from brain to brain in natural conversations

Authors: Zada, Zaid ^{1, 8, ∗}, Goldstein, Ariel ^{1, 2}, Michelmann, Sebastian ¹, Simony, Erez ^{1, 3}, Price, Amy ¹, Hasenfratz, Liat ¹, Barham, Emily ¹, Zadbood, Asieh ^{1, 4}, Doyle, Werner ⁵, Friedman, Daniel ⁵, Dugan, Patricia ⁵, Melloni, Lucia ⁵, Devore, Sasha ⁵, Flinker, Adeen ^{5, 6}, Devinsky, Orrin ⁵, Nastase, Samuel A. ^{1, 7}, Hasson, Uri ^{1, 7}

Source: In Neuron 25 September 2024 112(18):3211-3222

Intrinsic dynamic shapes responses to external stimulation in the human brain

Authors: Maximilian Nentwich, Marcin Leszczynski, Charles E Schroeder, Stephan Bickel, Lucas C Parra

Source: eLife, Vol 14 (2025)

Subject Terms: connectivity, granger analysis, encoding models, recurrent networks, intracranial EEG, naturalistic, Medicine, Science, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://elifesciences.org/articles/104996; https://doaj.org/toc/2050-084X

Access URL: https://doaj.org/article/fa1bd305e7b34823b0d619269e9f3ab2

Signal-to-Noise Efficiency Explains Inter-Observer Variability in Orientation Discrimination

Authors: Thiago P. Fernandes, Natanael A. Santos, Linnea N. Dahlgren

Source: Vision, Vol 10, Iss 1, p 4 (2026)

Subject Terms: orientation discrimination, visual noise, retinal eccentricity, perceptual variability, sensory encoding models, Biology (General), QH301-705.5

File Description: electronic resource

Relation: https://www.mdpi.com/2411-5150/10/1/4; https://doaj.org/toc/2411-5150

Access URL: https://doaj.org/article/130b8083a4bd47178dbb403586caf3a0

CrisisTransformers: Pre-trained language models and sentence encoders for crisis-related social media texts

Authors: Lamsal, Rabindra ^⁎, Read, Maria Rodriguez, Karunasekera, Shanika

Source: In Knowledge-Based Systems 19 July 2024 296

DG Embeddings: The unsupervised definition embeddings learned from dictionary and glossary to gloss context words of Cloze task

Authors: Liu, Xiaodong ^{a, ⁎}, Rzepka, Rafal ^b, Araki, Kenji ^b

Source: In Knowledge-Based Systems 19 July 2024 296