Mapping meaning in the brain's language

Authors: Brouwer, Harm ^{a, b}

Source: In Cortex January 2026 194:12-21

Explainability of fMRI Decoding Models Can Unveil Insights into Neural Mechanisms Related to Emotions

Authors: Agostinho, Daniel^{Aff12, Aff13}, Borra, Davide^Aff14, Castelo-Branco, Miguel^Aff13, Simões, Marco^{Aff12, Aff13}

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, Santos, Manuel Filipe, editor^Aff7, Machado, José, editor^Aff8, Novais, Paulo, editor^Aff9, Cortez, Paulo, editor^Aff10, Moreira, Pedro Miguel, editor^Aff11

Source: Progress in Artificial Intelligence : 23rd EPIA Conference on Artificial Intelligence, EPIA 2024, Viana do Castelo, Portugal, September 3–6, 2024, Proceedings, Part II. 14968:285-296

3D Contrast Image Reconstruction From Human Brain Activity

Authors: Zheng, H., Yao, L., Chen, M., Long, Z.

Source: IEEE Transactions on Neural Systems and Rehabilitation Engineering IEEE Trans. Neural Syst. Rehabil. Eng. Neural Systems and Rehabilitation Engineering, IEEE Transactions on. 28(12):2699-2710 Dec, 2020

Understanding cognitive processes across spatial scales of the brain

Authors: Song, Hayoung ^{1, 2, 5, ⁎}, Park, JeongJun ^{2, 5, ⁎}, Rosenberg, Monica D. ^{1, 3, 4, ⁎}

Source: In Trends in Cognitive Sciences March 2025 29(3):282-294

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

Decoding of auditory surprise in adult magnetoencephalography data using Bayesian models

Authors: Tavoosi, Parya ^a, Azemi, Ghasem ^{b, a, ⁎}, Sowman, Paul F. ^c

Source: In Digital Signal Processing May 2024 148

Neural tracking in infants – An analytical tool for multisensory social processing in development

Authors: Jessen, Sarah ^{a, c, ⁎}, Obleser, Jonas ^{b, c}, Tune, Sarah ^{b, c, ⁎}

Source: In Developmental Cognitive Neuroscience December 2021 52

Multivariate analysis of EEG activity indexes contingent attentional capture

Authors: Munneke, Jaap ^{a, b, c, 1, ⁎}, Fahrenfort, Johannes Jacobus ^{c, 1}, Sutterer, David ^d, Theeuwes, Jan ^c, Awh, Edward ^{e, f}

Source: In NeuroImage 1 February 2021 226

Convergence and Specificity in Neural and Conceptual Representations of Affect: Investigating Affective Representation across Multiple Levels of Analysis

Authors: Kwon, Mijin

Source: Dartmouth College Ph.D Dissertations

Subject Terms: affective neuroscience, construct validity, insula, predictive models, decoding models, emotion concepts, cross-linguistic emotion representation, fMRI, representational similarity analysis, large language models, Cognitive Neuroscience

File Description: application/pdf

Relation: https://digitalcommons.dartmouth.edu/dissertations/459; https://digitalcommons.dartmouth.edu/context/dissertations/article/1468/viewcontent/thesis_final_unsigned_Kwon.pdf

Availability: https://digitalcommons.dartmouth.edu/dissertations/459
https://digitalcommons.dartmouth.edu/context/dissertations/article/1468/viewcontent/thesis_final_unsigned_Kwon.pdf

Multivariate analysis of EEG activity indexes contingent attentional capture

Authors: Munneke, J, Fahrenfort, J, Sutterer, D, Theeuwes, J, Awh, E

Subject Terms: contingent capture, attentional capture, EEG, multivariate EEG analyses, forward encoding models, backward decoding models, raw EEG, alpha power

File Description: 1 - 12; Print-Electronic

Relation: NeuroImage; 117562; https://bura.brunel.ac.uk/handle/2438/21848

Availability: https://bura.brunel.ac.uk/handle/2438/21848

Causal interpretation rules for encoding and decoding models in neuroimaging

Authors: Weichwald, Sebastian ^{a, ⁎}, Meyer, Timm ^a, Özdenizci, Ozan ^b, Schölkopf, Bernhard ^a, Ball, Tonio ^c, Grosse-Wentrup, Moritz ^a

Source: In NeuroImage 15 April 2015 110:48-59

Encoding and Decoding Models in Cognitive Electrophysiology

Authors: Christopher R. Holdgraf, Jochem W. Rieger, Cristiano Micheli, Stephanie Martin, Robert T. Knight, Frederic E. Theunissen

Source: Frontiers in Systems Neuroscience, Vol 11 (2017)

Subject Terms: encoding models, decoding models, predictive modeling, tutorials, electrophysiology/evoked potentials, electrocorticography (ECoG), Neurosciences. Biological psychiatry. Neuropsychiatry, RC321-571

File Description: electronic resource

Relation: http://journal.frontiersin.org/article/10.3389/fnsys.2017.00061/full; https://doaj.org/toc/1662-5137

Access URL: https://doaj.org/article/4c4b37bd1b3f4f58bd65af988271eb60

Data from: A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: Bjoring MC, Meliza CD (2019) A low-threshold potassium current enhances sparseness and reliability in a model of avian auditory cortex. PLOS Computational Biology 15(1): e1006723.; http://hdl.handle.net/10255/dryad.203534

Availability: http://hdl.handle.net/10255/dryad.203534
https://doi.org/10.5061/dryad.js11601

Raw Simulation Data

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203843

Availability: http://hdl.handle.net/10255/dryad.203843
https://doi.org/10.5061/dryad.js11601/8

Summary Table

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203770

Availability: http://hdl.handle.net/10255/dryad.203770
https://doi.org/10.5061/dryad.js11601/2

Example Notebook

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203774

Availability: http://hdl.handle.net/10255/dryad.203774
https://doi.org/10.5061/dryad.js11601/4

Receptive Fields

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203776

Availability: http://hdl.handle.net/10255/dryad.203776
https://doi.org/10.5061/dryad.js11601/5

Stimuli

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203777

Availability: http://hdl.handle.net/10255/dryad.203777
https://doi.org/10.5061/dryad.js11601/6

Spike Data

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203778

Availability: http://hdl.handle.net/10255/dryad.203778
https://doi.org/10.5061/dryad.js11601/7

README

Authors: Bjoring, Margot C., Meliza, C. Daniel

Subject Terms: auditory processing, intrinsic dynamics, decoding models, selectivity, tolerance, object recognition

Relation: http://hdl.handle.net/10255/dryad.203769

Availability: http://hdl.handle.net/10255/dryad.203769
https://doi.org/10.5061/dryad.js11601/1