Lars Muckli

Lars Muckli

University of Glasgow

H-index: 44

Europe-United Kingdom

About Lars Muckli

Lars Muckli, With an exceptional h-index of 44 and a recent h-index of 29 (since 2020), a distinguished researcher at University of Glasgow, specializes in the field of Visual and Cognitive Neurosciences, Funtional Brain Imaging.

His recent articles reflect a diverse array of research interests and contributions to the field:

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data

Cortical depth profiles in primary visual cortex for illusory and imaginary experiences

Retinotopic biases in contextual feedback signals to V1 for object and scene processing

Mnemonic but not contextual feedback signals defy dedifferentiation in the aging early visual cortex

Perceptual priors add sensory detail to contextual feedback processing in V1

Advancing the science of consciousness: from ethics to clinical care

Concurrent contextual and time-distant mnemonic information co-exist as feedback in the human visual cortex

Lars Muckli Information

University

Position

Professor Institute of Neuroscience and Psychology

Citations(all)

7848

Citations(since 2020)

3316

Cited By

6035

hIndex(all)

44

hIndex(since 2020)

29

i10Index(all)

69

i10Index(since 2020)

52

Email

University Profile Page

University of Glasgow

Google Scholar

View Google Scholar Profile

Lars Muckli Skills & Research Interests

Visual and Cognitive Neurosciences

Funtional Brain Imaging

Top articles of Lars Muckli

Title

Journal

Author(s)

Publication Date

The coming decade of digital brain research: A vision for neuroscience at the intersection of technology and computing

Katrin Amunts

Andreas Rowald

Spase Petkoski

Maria V Sanchez-Vives

Markus Axer

...

2022

Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data

Medical Image Analysis

Michele Svanera

Mattia Savardi

Alberto Signoroni

Sergio Benini

Lars Muckli

2024/4/1

Cortical depth profiles in primary visual cortex for illusory and imaginary experiences

Nature Communications

Johanna Bergmann

Lucy S Petro

Clement Abbatecola

Min S Li

A Tyler Morgan

...

2024/2/2

Retinotopic biases in contextual feedback signals to V1 for object and scene processing

bioRxiv

Matthew A Bennett

Lucy S Petro

Clement Abbatecola

Lars Muckli

2024

Mnemonic but not contextual feedback signals defy dedifferentiation in the aging early visual cortex

Journal of Neuroscience

Isabelle Ehrlich

Javier Ortiz-Tudela

Yi You Tan

Lars Muckli

Yee Lee Shing

2024/4/17

Perceptual priors add sensory detail to contextual feedback processing in V1

bioRxiv

Yulia Lazarova

Yingying Huang

Lars Muckli

Lucy Petro

2023

Advancing the science of consciousness: from ethics to clinical care

Michele Farisco

Kathinka Evers

Jitka Annen

Veronique Blandin

Alessandra Camassa

...

2023/9/22

Concurrent contextual and time-distant mnemonic information co-exist as feedback in the human visual cortex

NeuroImage

Javier Ortiz-Tudela

Johanna Bergmann

Matthew Bennett

Isabelle Ehrlich

Lars Muckli

...

2023/1/1

The spatial precision of contextual feedback signals in human V1

Biology

Lucy S Petro

Fraser W Smith

Clement Abbatecola

Lars Muckli

2023/7/20

Optimized Signal Saturation for Fast Functional Line-Scanning of Cortical Layers

Nils Nothnagel

Tyler Morgan

Alison Symon

Lars Muckli

Jozien Goense

2023/6/6

DeepThickness: A Deep Learning Method for Brain MRI Cortical Thickness Estimation

D Ferrari

M Savardi

A Fracasso

L Muckli

S Benini

...

2023

The representation of occluded image regions in area V1 of monkeys and humans

Current biology

Paolo Papale

Feng Wang

A Tyler Morgan

Xing Chen

Amparo Gilhuis

...

2023/9/25

Das Gehirn als Vorhersagemaschine

Wo sitzt der Geist?: Von Leib und Seele zur erweiterten Kognition

Lars Muckli

2022/9/23

Fighting the Scanner Effect: a Coarse-to-Fine 3D Network for Multi-Site Brain MRI Segmentation

Michele Svanera

Mattia Savardi

Sergio Benini

Alberto Signoroni

Lars Muckli

2022

Feedback brings scene information to the representation of occluded image regions in area V1 of monkeys and humans

BioRxiv

Paolo Papale

Feng Wang

A Tyler Morgan

Xing Chen

Amparo Gilhuis

...

2022/11/22

A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes

Journal of Vision

Michele Svanera

Andrew T Morgan

Lucy S Petro

Lars Muckli

2021/7/6

CEREBRUM‐7T: Fast and Fully Volumetric Brain Segmentation of 7 Tesla MR Volumes

Human brain mapping

Michele Svanera

Sergio Benini

Dennis Bontempi

Lars Muckli

2021/12/1

Decoding sounds in early “visual” cortex of the congenitally blind

Journal of Vision

Petra Vetter

Lukasz Bola

Lior Reich

Matthew Bennett

Lars Muckli

...

2021/9/27

Investigating sound content in the early visual cortex of aphantasia participants

Investigative Ophthalmology & Visual Science

Belén María Montabes de la Cruz

Clement Abbatecola

Petra Vetter

Johanna Bergmann

Lucy Petro

...

2021/6/21

Numerosity perception in peripheral vision

Frontiers in Human Neuroscience

Min Susan Li

Clement Abbatecola

Lucy S Petro

Lars Muckli

2021/11/3

See List of Professors in Lars Muckli University(University of Glasgow)

Co-Authors

H-index: 149
Kamil Ugurbil

Kamil Ugurbil

University of Minnesota-Twin Cities

H-index: 113
Rainer Goebel

Rainer Goebel

Universiteit Maastricht

H-index: 81
Essa Yacoub

Essa Yacoub

University of Minnesota-Twin Cities

H-index: 67
Nikolaus Kriegeskorte

Nikolaus Kriegeskorte

Columbia University in the City of New York

H-index: 66
elia formisano

elia formisano

Universiteit Maastricht

H-index: 63
Philippe G. Schyns

Philippe G. Schyns

University of Glasgow

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