Sven Dorkenwald

Sven Dorkenwald

Princeton University

H-index: 17

North America-United States

About Sven Dorkenwald

Sven Dorkenwald, With an exceptional h-index of 17 and a recent h-index of 17 (since 2020), a distinguished researcher at Princeton University, specializes in the field of Connectomics, Machine Learning, Data Science, Neuroscience.

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

Analysis of Neuronal Wiring Diagrams

A leaky integrate-and-fire computational model based on the connectome of the entire adult Drosophila brain reveals insights into sensorimotor processing

Network statistics of the whole-brain connectome of drosophila

NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions

CAVE: Connectome annotation versioning engine

Integrating EM and Patch-seq data: Synaptic connectivity and target specificity of predicted Sst transcriptomic types

Neuronal wiring diagram of an adult brain

Functional connectomics reveals general wiring rule in mouse visual cortex

Sven Dorkenwald Information

University

Position

___

Citations(all)

1388

Citations(since 2020)

1328

Cited By

185

hIndex(all)

17

hIndex(since 2020)

17

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Princeton University

Google Scholar

View Google Scholar Profile

Sven Dorkenwald Skills & Research Interests

Connectomics

Machine Learning

Data Science

Neuroscience

Top articles of Sven Dorkenwald

Title

Journal

Author(s)

Publication Date

Analysis of Neuronal Wiring Diagrams

Sven Maximilian Dorkenwald

2023

A leaky integrate-and-fire computational model based on the connectome of the entire adult Drosophila brain reveals insights into sensorimotor processing

bioRxiv

Philip K Shiu

Gabriella R Sterne

Nico Spiller

Romain Franconville

Andrea Sandoval

...

2023/5/2

Network statistics of the whole-brain connectome of drosophila

bioRxiv

Albert Lin

Runzhe Yang

Sven Dorkenwald

Arie Matsliah

Amy R Sterling

...

2023

NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions

bioRxiv

Brendan Celii

Stelios Papadopoulos

Zhuokun Ding

Paul G Fahey

Eric Wang

...

2023

CAVE: Connectome annotation versioning engine

bioRxiv

Sven Dorkenwald

Casey M Schneider-Mizell

Derrick Brittain

Akhilesh Halageri

Chris Jordan

...

2023/7/28

Integrating EM and Patch-seq data: Synaptic connectivity and target specificity of predicted Sst transcriptomic types

bioRxiv

CR Gamlin

CM Schneider-Mizell

M Mallory

L Elabbady

N Gouwens

...

2023/3/24

Neuronal wiring diagram of an adult brain

bioRxiv

Sven Dorkenwald

Arie Matsliah

Amy R Sterling

Philipp Schlegel

Szi-Chieh Yu

...

2023/7/11

Functional connectomics reveals general wiring rule in mouse visual cortex

bioRxiv

Zhuokun Ding

Paul G Fahey

Stelios Papadopoulos

Eric Y Wang

Brendan Celii

...

2023/3/14

Whole-brain annotation and multi-connectome cell typing quantifies circuit stereotypy in Drosophila

bioRxiv

Philipp Schlegel

Yijie Yin

Alexander S Bates

Sven Dorkenwald

Katharina Eichler

...

2023/6/27

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

bioRxiv

Casey M Schneider-Mizell

Agnes Bodor

Derrick Brittain

JoAnn Buchanan

Daniel J Bumbarger

...

2023/1/24

Synaptic architecture of leg and wing motor control networks in Drosophila

bioRxiv

Ellen Lesser

Anthony W Azevedo

Jasper S Phelps

Leila Elabbady

Andrew Cook

...

2023/5/31

The Synaptic Architecture of Layer 5 Thick Tufted Excitatory Neurons in the Visual Cortex of Mice

bioRxiv

Agnes L Bodor

Casey M Schneider-Mizell

Chi Zhang

Leila Elabbady

Alex Mallen

...

2023

Multi-layered maps of neuropil with segmentation-guided contrastive learning

Nature Methods

Sven Dorkenwald

Peter H Li

Michał Januszewski

Daniel R Berger

Jeremy Maitin-Shepard

...

2023/12

SyConn2: dense synaptic connectivity inference for volume electron microscopy

Nature Methods

Philipp J Schubert

Sven Dorkenwald

Michał Januszewski

Jonathan Klimesch

Fabian Svara

...

2022/11

Neural network organization for courtship-song feature detection in Drosophila

Current Biology

Christa A Baker

Claire McKellar

Rich Pang

Aljoscha Nern

Sven Dorkenwald

...

2022/8/8

An unsupervised map of excitatory neurons’ dendritic morphology in the mouse visual cortex

bioRxiv

Marissa A Weis

Stelios Papadopoulos

Laura Hansel

Timo Lüddecke

Brendan Celii

...

2022/12/22

Quantitative census of local somatic features in mouse visual cortex

bioRxiv

Leila Elabbady

Sharmishtaa Seshamani

Shang Mu

Gayathri Mahalingam

Casey Schneider-Mizell

...

2022/7/22

Tools for comprehensive reconstruction and analysis of Drosophila motor circuits

bioRxiv

Anthony Azevedo

Ellen Lesser

Brandon Mark

Jasper Phelps

Leila Elabbady

...

2022/12/15

Reconstruction of neocortex: Organelles, compartments, cells, circuits, and activity

Cell

Nicholas L Turner

Thomas Macrina

J Alexander Bae

Runzhe Yang

Alyssa M Wilson

...

2022/3/17

Oligodendrocyte precursor cells ingest axons in the mouse neocortex

Proceedings of the National Academy of Sciences

JoAnn Buchanan

Leila Elabbady

Forrest Collman

Nikolas L Jorstad

Trygve E Bakken

...

2022/11/29

See List of Professors in Sven Dorkenwald University(Princeton University)

Co-Authors

H-index: 81
H Sebastian Seung

H Sebastian Seung

Princeton University

H-index: 64
Magdalena Balazinska

Magdalena Balazinska

University of Washington

H-index: 61
Andreas Tolias

Andreas Tolias

Baylor College of Medicine

H-index: 46
Greg Jefferis

Greg Jefferis

University of Cambridge

H-index: 33
Mala Murthy

Mala Murthy

Princeton University

H-index: 32
Jacob Reimer

Jacob Reimer

Baylor College of Medicine

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