Martin N. Hebart

23 papers A* 1B 2Journal 18Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
CNeuroMod-THINGS, a densely-sampled fMRI dataset for visual neuroscience.
CoRR
Marie St-Laurent, Basile Pinsard, Oliver Contier, Elizabeth DuPre, Katja Seeliger, Valentina Borghesani, Julie A. Boyle, Lune Bellec, Martin N. Hebart
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2024 J jnl
Dimensions underlying the representational alignment of deep neural networks with humans.
CoRR
Florian P. Mahner, Lukas Muttenthaler, Umut Güçlü, Martin N. Hebart
2024 B conf
Unrealized promise of joint modeling of choice and reaction time in improving representation learning.
CogSci
Russell Richie, Nehal Ajmal, Martin N. Hebart
2024 J jnl
What comparing deep neural networks can teach us about human vision.
Nat. Mac. Intell.
Katja Seeliger, Martin N. Hebart
2023 J jnl
Getting aligned on representational alignment.
CoRR
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023 — conf
Revealing interpretable object representations from human visual cortex and artificial neural networks.
BCI
Martin N. Hebart
2022 J jnl
Feature-reweighted representational similarity analysis: A method for improving the fit between computational models, brains, and behavior.
NeuroImage
Philipp Kaniuth, Martin N. Hebart
2022 B conf
Semantic features of object concepts generated with GPT-3.
CogSci
Hannes Hansen, Martin N. Hebart
2022 J jnl
Semantic features of object concepts generated with GPT-3.
CoRR
Hannes Hansen, Martin N. Hebart
2022 A* conf
VICE: Variational Interpretable Concept Embeddings.
NeurIPS
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2022 J jnl
VICE: Variational Interpretable Concept Embeddings.
CoRR
Lukas Muttenthaler, Charles Y. Zheng, Patrick McClure, Robert A. Vandermeulen, Martin N. Hebart, Francisco Pereira
2021 J jnl
THINGSvision: A Python Toolbox for Streamlining the Extraction of Activations From Deep Neural Networks.
Frontiers Neuroinformatics
Lukas Muttenthaler, Martin N. Hebart
2019 — conf
Revealing interpretable object representations from human behavior.
ICLR (Poster)
Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
2019 J jnl
Revealing interpretable object representations from human behavior.
CoRR
Charles Y. Zheng, Francisco Pereira, Chris I. Baker, Martin N. Hebart
2018 J jnl
Deconstructing multivariate decoding for the study of brain function.
NeuroImage
Martin N. Hebart, Chris I. Baker
2018 J jnl
The same analysis approach: Practical protection against the pitfalls of novel neuroimaging analysis methods.
NeuroImage
Kai Görgen, Martin N. Hebart, Carsten Allefeld, John-Dylan Haynes
2018 J jnl
The temporal evolution of conceptual object representations revealed through models of behavior, semantics and deep neural networks.
NeuroImage
B. B. Bankson, Martin N. Hebart, Iris I. A. Groen, Chris I. Baker
2016 J jnl
Analyzing neuroimaging data with subclasses: A shrinkage approach.
NeuroImage
Johannes Höhne, Daniel Bartz, Martin N. Hebart, Klaus-Robert Müller, Benjamin Blankertz
2015 J jnl
Memory detection using fMRI - Does the encoding context matter?
NeuroImage
Judith Peth, Tobias Sommer, Martin N. Hebart, Gerhard Vossel, Christian Büchel, Matthias Gamer
2015 J jnl
Parietal and early visual cortices encode working memory content across mental transformations.
NeuroImage
Thomas B. Christophel, Radoslaw Martin Cichy, Martin N. Hebart, John-Dylan Haynes
2014 J jnl
The Decoding Toolbox (TDT): a versatile software package for multivariate analyses of functional imaging data.
Frontiers Neuroinformatics
Martin N. Hebart, Kai Görgen, John-Dylan Haynes
2012 J jnl
Human visual and parietal cortex encode visual choices independent of motor plans.
NeuroImage
Martin N. Hebart, Tobias H. Donner, John-Dylan Haynes