Daniel M Wolpert (Máté Lengyel)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Venues

The Journal of physiology

Nature reviews. Neuroscience

eLife

bioRxiv : the preprint server for biology

Central European University

Eötvös Loránd University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Central European University

Hungary

Senior Research Fellow :: Department of Cognitive Science

University of Cambridge

United Kingdom

Professor of Computational Neuroscience :: Department of Engineering

University of Cambridge

United Kingdom

Reader in Computational Neuroscience :: Department of Engineering

Central European University

Hungary

Visiting Researcher :: Department of Cognitive Science

University of Cambridge

United Kingdom

Lecturer in Computational Neuroscience :: Department of Engineering

Collegium Budapest Institute for Advanced Study

Hungary

Visiting Research Fellow

University College London

United Kingdom

Postdoctoral Research Fellow :: Gatsby Computational Neuroscience Unit

Education History

Eötvös Loránd University

Hungary

PHD

Eötvös Loránd University

Hungary

MSC

Publications

Daniel M Wolpert
Marr's three levels of analysis are useful as a framework for neuroscience. The Journal of physiology 602 (9) (2024)
Robbe L T Goris, Ruben Coen-Cagli, Kenneth D Miller, Nicholas J Priebe, Daniel M Wolpert
Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience 25 (4) (2024)
Daniel M Wolpert
Marr's three levels of analysis are useful as a framework for neuroscience. The Journal of physiology (2024)
Daniel M Wolpert
Marr's three levels of analysis are useful as a framework for neuroscience. The Journal of physiology 602 (9) (2024)
Daniel M Wolpert
Crosstalk rebuttal: Marr's three levels of analysis are not useful as a framework for neuroscience. The Journal of physiology 602 (9) (2024)
Daniel M Wolpert
Crosstalk rebuttal: Marr's three levels of analysis are not useful as a framework for neuroscience. The Journal of physiology 602 (9) (2024)
Robbe L T Goris, Ruben Coen-Cagli, Kenneth D Miller, Nicholas J Priebe, Daniel M Wolpert
Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience 25 (4) (2024)
Robbe L T Goris, Ruben Coen-Cagli, Kenneth D Miller, Nicholas J Priebe, Daniel M Wolpert
Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience 25 (4) (2024)
Robbe L T Goris, Ruben Coen-Cagli, Kenneth D Miller, Nicholas J Priebe, Daniel M Wolpert
Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience (2024)
Daniel M Wolpert
Crosstalk rebuttal: Marr's three levels of analysis are not useful as a framework for neuroscience. The Journal of physiology (2024)
Robbe L T Goris, Ruben Coen-Cagli, Kenneth D Miller, Nicholas J Priebe, Daniel M Wolpert
Response sub-additivity and variability quenching in visual cortex. Nature reviews. Neuroscience 25 (4) (2024)
Jake P Stroud, Kei Watanabe, Takafumi Suzuki, Mark G Stokes, Daniel M Wolpert
Optimal information loading into working memory explains dynamic coding in the prefrontal cortex. Proceedings of the National Academy of Sciences of the United States of America 120 (48) (2023)
Yul H R Kang, Daniel M Wolpert, Daniel M Wolpert
Spatial uncertainty and environmental geometry in navigation. bioRxiv : the preprint server for biology (2023)
Yul H R Kang, Daniel M Wolpert, Daniel M Wolpert
Spatial uncertainty and environmental geometry in navigation. bioRxiv : the preprint server for biology (2023)
Yul H R Kang, Daniel M Wolpert, Daniel M Wolpert
Spatial uncertainty and environmental geometry in navigation. bioRxiv : the preprint server for biology (2023)
James B Heald, Máté Lengyel, Daniel M Wolpert
Contextual inference underlies the learning of sensorimotor repertoires. Nature (2021)
Rodrigo Echeveste, Laurence Aitchison, Guillaume Hennequin, Daniel M Wolpert
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference. Nature neuroscience 23 (9) (2020)
Merse E Gáspár, Pierre-Olivier Polack, Peyman Golshani, Daniel M Wolpert, Gergő Orbán
Representational untangling by the firing rate nonlinearity in V1 simple cells. eLife 8 (2019)
Gabor Lengyel, Goda Žalalytė, Alexandros Pantelides, James N Ingram, József Fiser, Daniel M Wolpert, Daniel M Wolpert
Unimodal statistical learning produces multimodal object-like representations. eLife 8 (2019)
Johannes Friedrich, Daniel M Wolpert
Goal-Directed Decision Making with Spiking Neurons. The Journal of neuroscience : the official journal of the Society for Neuroscience 36 (5) (2016)
Scott Cheng-Hsin Yang, Daniel M Wolpert, Daniel M Wolpert
Active sensing in the categorization of visual patterns. eLife 5 (2016)

Daniel M Wolpert.css-eqlu8i{font-size:small;padding-left:4px;} (Máté Lengyel)

Publication Activity (10 Years)

Top Topics

Top Venues

Daniel M Wolpert (Máté Lengyel)