Adrien Doerig

University of London — United Kingdom

Neuroscience · Life Sciences

17h-index1.1kcitations61works4.82yr avg
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Research Topics

Visual perception and processing mechanisms(24), Neural dynamics and brain function(23), Visual Attention and Saliency Detection(13), Face Recognition and Perception(9), EEG and Brain-Computer Interfaces(7)

Publications61 total

Neurophenomenal structuralism and the role of computational context
Philosophy and the Mind Sciences·2025Open Access
Auditory representations of words during silent visual reading
2025Open Access
Predicting upcoming visual features during eye movements yields scene representations aligned with human visual cortex
arXiv (Cornell University)·2025Open Access
High-level visual representations in the human brain are aligned with large language models
Nature Machine Intelligence·2025· 18 citedOpen Access
End-to-end topographic networks as models of cortical map formation and human visual behaviour
Nature Human Behaviour·2025· 9 citedOpen Access
What makes a theory of consciousness unscientific?
Nature Neuroscience·2025· 20 citedOpen Access
Starting a revolution with a refuted model?
Behavioral and Brain Sciences·2025Open Access
Neurophenomenal Structuralism and the Role of Computational Context
arXiv (Cornell University)·2024· 1 citedOpen Access
Exploiting large-scale neuroimaging datasets to reveal novel insights in vision science
Journal of Vision·2024Open Access
Computational characterization of the role of an attention schema in controlling visuospatial attention
arXiv (Cornell University)·2024Open Access
Why computational complexity may set impenetrable barriers for epistemic reductionism
Synthese·2023· 1 citedOpen Access
End-to-end topographic networks as models of cortical map formation and human visual behaviour: moving beyond convolutions
arXiv (Cornell University)·2023· 4 citedOpen Access
The neuroconnectionist research programme
Nature reviews. Neuroscience·2023· 219 citedOpen Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
2023· 4 citedOpen Access
Characterising representation dynamics in recurrent neural networks for object recognition
2023· 2 citedOpen Access
The brain can’t copy-paste: End-to-end topographic neural networks as a way forward for modelling cortical map formation and behaviour
2023Open Access
Keep moving: sensorimotor integration of fixational eye-movements yields human-like superresolution in recurrent neural networks
2023Open Access
Deep neural networks are not a single hypothesis but a language for expressing computational hypotheses
Behavioral and Brain Sciences·2023· 8 cited
Characterising representation dynamics in recurrent neural networks for object recognition
arXiv (Cornell University)·2023Open Access
Global information processing in feedforward deep networks
Journal of Vision·2022Open Access
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Frequent Co-authors

Michael H. Herzog(33), Tim C. Kietzmann(14), Alban Bornet(9), Aaron Schurger(6), Konrad P. Körding(5), Katja Seeliger(4), Talia Konkle(4), Marcel van Gerven(4), Nikolaus Kriegeskorte(4), Lynn Schmittwilken(4), Mauro Manassi(4), Ian Charest(4), Rowan P. Sommers(3), Leila Drissi-Daoudi(3), Aaron Clarke(3), Oh-Hyeon Choung(3), Leila Drissi Daoudi(3), Khatuna Parkosadze(3), Marina Kunchulia(3), Zejin Lu(3)