Konrad Körding
Konrad Paul Körding (born 1973) is a German neuroscience professor at the University of Pennsylvania and co-founder of Neuromatch and the Community for Rigor. He is known for his contributions to the fields of motor control, neural data methods, and computational neuroscience, as well as his advocacy and contribution to open science and scientific rigor. Provided by Wikipedia
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Ten simple rules for structuring papers. by Brett Mensh, Konrad Kording
Published 2017-09-01
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The database for reaching experiments and models. by Ben Walker, Konrad Kording
Published 2013-01-01
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Automatic discovery of cell types and microcircuitry from neural connectomics by Eric Jonas, Konrad Kording
Published 2015-04-01
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Regression discontinuity threshold optimization. by Ioana Marinescu, Sofia Triantafillou, Konrad Kording
Published 2022-01-01
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Learning priors for Bayesian computations in the nervous system. by Max Berniker, Martin Voss, Konrad Kording
Published 2010-09-01
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Trust and reciprocity: are effort and money equivalent? by Iris Vilares, Gregory Dam, Konrad Kording
Published 2011-02-01
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Making Activity Recognition Robust against Deceptive Behavior. by Sohrab Saeb, Konrad Körding, David C Mohr
Published 2015-01-01
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Towards an integration of deep learning and neuroscience by Adam Henry Marblestone, Greg Wayne, Konrad Kording
Published 2016-09-01
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Meaningless comparisons lead to false optimism in medical machine learning. by Orianna DeMasi, Konrad Kording, Benjamin Recht
Published 2017-01-01
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Premotor and Motor Cortices Encode Reward. by Pavan Ramkumar, Brian Dekleva, Sam Cooler, Lee Miller, Konrad Kording
Published 2016-01-01
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The Statistical Determinants of the Speed of Motor Learning. by Kang He, You Liang, Farnaz Abdollahi, Moria Fisher Bittmann, Konrad Kording, Kunlin Wei
Published 2016-09-01
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MoVi: A large multi-purpose human motion and video dataset. by Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad Kording, Douglas James Cook, Gunnar Blohm, Nikolaus F Troje
Published 2021-01-01
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Different scaling of linear models and deep learning in UKBiobank brain images versus machine-learning datasets by Marc-Andre Schulz, B. T. Thomas Yeo, Joshua T. Vogelstein, Janaina Mourao-Miranada, Jakob N. Kather, Konrad Kording, Blake Richards, Danilo Bzdok
Published 2020-08-01
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Quantifying interaction with robotic toys in pre-term and full-term infants by Collin Kather, Frances S. Shofer, Jeong Inn Park, Jeong Inn Park, Daniel Bogen, Samuel R. Pierce, Konrad Kording, Kathleen A. Nilan, Huayan Zhang, Huayan Zhang, Laura A. Prosser, Laura A. Prosser, Michelle J. Johnson, Michelle J. Johnson
Published 2023-10-01
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Catalyzing next-generation Artificial Intelligence through NeuroAI by Anthony Zador, Sean Escola, Blake Richards, Bence Ölveczky, Yoshua Bengio, Kwabena Boahen, Matthew Botvinick, Dmitri Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad Körding, Alexei Koulakov, Yann LeCun, Timothy Lillicrap, Adam Marblestone, Bruno Olshausen, Alexandre Pouget, Cristina Savin, Terrence Sejnowski, Eero Simoncelli, Sara Solla, David Sussillo, Andreas S. Tolias, Doris Tsao
Published 2023-03-01
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