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Konrad P. Körding

Ontario Brain Institute ·
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Area of research
Cognitive Neuroscience · Artificial Intelligence
Research interest
Research interests include Neural dynamics and brain function, Motor Control and Adaptation, Visual perception and processing mechanisms, and EEG and Brain-Computer Interfaces.
h-index
74
citations
24,313
works
449
NIH funding
primary concept
email

Recent publications

Causal inference on human behaviour
Nature Human Behaviour 2024cited by 42position: middledoi
Computational kinematics of dance: distinguishing hip hop genres
Frontiers in Robotics and AI 2024cited by 13position: lastdoi
A preregistered, Open Pipeline for Early Cerebral Palsy Risk Assessment from Infant Videos
medRxiv 2024cited by 1position: lastdoi
Catalyzing next-generation Artificial Intelligence through NeuroAI
Nature Communications 2023cited by 276position: middledoi
The neuroconnectionist research programme
Nature reviews. Neuroscience 2023cited by 226position: middledoi
Tackling Climate Change with Machine Learning
OPUS 4 (Zuse Institute Berlin) 2022cited by 818position: middledoi
Causal mapping of human brain function
Nature reviews. Neuroscience 2022cited by 330position: middledoi
Tackling Climate Change with Machine Learning
ACM Computing Surveys 2022cited by 193position: middledoi
Neuromatch Academy: a 3-week, online summer school in computational neuroscience
Journal of Open Source Education 2022cited by 3position: middledoi
MoVi: A large multi-purpose human motion and video dataset
PLoS ONE 2021cited by 106position: middledoi
Recording Temporal Signals with Minutes Resolution Using Enzymatic DNA Synthesis
Journal of the American Chemical Society 2021cited by 26position: middledoi
Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets
Nature Communications 2020cited by 300position: middledoi
A deep learning framework for neuroscience
Nature Neuroscience 2019cited by 1,074position: lastdoi
Automating Ischemic Stroke Subtype Classification Using Machine Learning and Natural Language Processing
Journal of Stroke and Cerebrovascular Diseases 2019cited by 152position: middledoi
Deep learning for brains?: Different linear and nonlinear scaling in UK Biobank brain images vs. machine-learning datasets
bioRxiv (Cold Spring Harbor Laboratory) 2019cited by 35position: middledoi
Pain: A Statistical Account
PLoS Computational Biology 2017cited by 110position: lastdoi
Quantifying Mesoscale Neuroanatomy Using X-Ray Microtomography
eNeuro 2017cited by 100position: middledoi
A cryptography-based approach for movement decoding
Nature Biomedical Engineering 2017cited by 77position: lastdoi
Toward an Integration of Deep Learning and Neuroscience
arXiv (Cornell University) 2016cited by 688position: lastdoi
Chunking as the result of an efficiency computation trade-off
Nature Communications 2016cited by 142position: lastdoi
Towards an integration of deep learning and neuroscience
bioRxiv (Cold Spring Harbor Laboratory) 2016cited by 47position: lastdoi
High-Reproducibility and High-Accuracy Method for Automated Topic Classification
Physical Review X 2015cited by 24position: middledoi
Deep networks for motor control functions
Frontiers in Computational Neuroscience 2015cited by 24position: lastdoi
Serotonin Affects Movement Gain Control in the Spinal Cord
Journal of Neuroscience 2014cited by 148position: lastdoi
Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones
PLoS ONE 2013cited by 27position: middledoi
Physical principles for scalable neural recording
Frontiers in Computational Neuroscience 2013cited by 26position: lastdoi
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons
PLoS Computational Biology 2012cited by 85position: lastdoi
Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing
PLoS ONE 2012cited by 62position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Adam Marblestone · Convergent Engineering (United States)4 papers (2012–2016)Edward S. Boyden · Massachusetts Institute of Technology3 papers (2012–2021)Joshua I. Glaser · Columbia University3 papers (2013–2021)Joshua T Vogelstein · Discovery Institute3 papers (2017–2020)John Platt · University of California System2 papers (2022–2022)Reza Kalhor · Johns Hopkins Medicine2 papers (2013–2021)Jakob Nikolas Kather · Ludwig-Maximilians-Universität München2 papers (2019–2020)Kelly Kochanski · University of Colorado Boulder2 papers (2022–2022) · 2 papers (2019–2020)Priya L. Donti · Carnegie Mellon University2 papers (2022–2022) · 2 papers (2022–2022)Kris Sankaran · University of Wisconsin–Madison2 papers (2022–2022)Bradley M. Zamft · University of California, Berkeley2 papers (2012–2013)Yoshua Bengio · Global Water Partnership2 papers (2022–2022) · 2 papers (2022–2022)George M. Church · Harvard University Press2 papers (2012–2021)Andrew Y. Ng · Stanford University2 papers (2022–2022)Marc-André Schulz · Humboldt-Universität zu Berlin2 papers (2019–2020)Demis Hassabis · DeepMind2 papers (2022–2022)Greg Wayne · Columbia University2 papers (2016–2016)
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