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Martin N Hebart

Showing results (31-40 of 51) with videos related to

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Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Identifying and characterizing scene representations relevant for categorization behaviorJohannes J D Singer, Agnessa Karapetian, Martin N Hebart, et al.
Journal of Vision|February 7, 2022
From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstractionJohannes J D Singer, Katja Seeliger, Tim C Kietzmann, et al.
Science Advances|May 1, 2023
The features underlying the memorability of objectsMax A Kramer, Martin N Hebart, Chris I Baker, et al.
NPJ Science of Learning|June 19, 2020
Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced dataMarlene Bönstrup, Iñaki Iturrate, Martin N Hebart, et al.
Neuroimage|September 27, 2015
Analyzing neuroimaging data with subclasses: A shrinkage approachJohannes Höhne, Daniel Bartz, Martin N Hebart, et al.
Neuroimage|December 3, 2014
Parietal and early visual cortices encode working memory content across mental transformationsThomas B Christophel, Radoslaw M Cichy, Martin N Hebart, et al.
Nature Neuroscience|May 25, 2026
Fixation duration on natural scenes is explained by memory encoding not processing demandPhilip Sulewski, Carmen Amme, Martin N Hebart, et al.
Elife|January 22, 2026
Feedback of peripheral saccade targets to early foveal cortexLuca Kämmer, Lisa M Kroell, Tomas Knapen, et al.
Elife|May 18, 2021
The organizational principles of de-differentiated topographic maps in somatosensory cortexPeng Liu, Anastasia Chrysidou, Juliane Doehler, et al.
Scientific Data|January 11, 2022
Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streamsTijl Grootswagers, Ivy Zhou, Amanda K Robinson, et al.
Pageof 6

Showing results (31-40 of 51) with videos related to

Sort By:
Pageof 6
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Identifying and characterizing scene representations relevant for categorization behaviorJohannes J D Singer, Agnessa Karapetian, Martin N Hebart, et al.
Journal of Vision|February 7, 2022
From photos to sketches - how humans and deep neural networks process objects across different levels of visual abstractionJohannes J D Singer, Katja Seeliger, Tim C Kietzmann, et al.
Science Advances|May 1, 2023
The features underlying the memorability of objectsMax A Kramer, Martin N Hebart, Chris I Baker, et al.
NPJ Science of Learning|June 19, 2020
Mechanisms of offline motor learning at a microscale of seconds in large-scale crowdsourced dataMarlene Bönstrup, Iñaki Iturrate, Martin N Hebart, et al.
Neuroimage|September 27, 2015
Analyzing neuroimaging data with subclasses: A shrinkage approachJohannes Höhne, Daniel Bartz, Martin N Hebart, et al.
Neuroimage|December 3, 2014
Parietal and early visual cortices encode working memory content across mental transformationsThomas B Christophel, Radoslaw M Cichy, Martin N Hebart, et al.
Nature Neuroscience|May 25, 2026
Fixation duration on natural scenes is explained by memory encoding not processing demandPhilip Sulewski, Carmen Amme, Martin N Hebart, et al.
Elife|January 22, 2026
Feedback of peripheral saccade targets to early foveal cortexLuca Kämmer, Lisa M Kroell, Tomas Knapen, et al.
Elife|May 18, 2021
The organizational principles of de-differentiated topographic maps in somatosensory cortexPeng Liu, Anastasia Chrysidou, Juliane Doehler, et al.
Scientific Data|January 11, 2022
Human EEG recordings for 1,854 concepts presented in rapid serial visual presentation streamsTijl Grootswagers, Ivy Zhou, Amanda K Robinson, et al.
Pageof 6