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ORCIDKonrad P. Kording
Konrad P. Körding – Konrad Paul Körding
Person information
- affiliation: University of Pennsylvania, Department of Neuroscience, Philadelphia, PA, USA
- affiliation: Northwestern University, Rehabilitation Institute of Chicago, IL, USA
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2020 – today
- 2024
[c34]Konrad P. Kording:
Neural decoding for BCI: the objectives, principles and the future. BCI 2024: 1-2- [i37]Felipe Parodi, Jordan Matelsky, Alejandra Regla-Vargas, Elizabeth Foglia, Charis Lim, Danielle Weinberg, Konrad P. Kording, Heidi Herrick, Michael Platt:
Vision-language models for decoding provider attention during neonatal resuscitation. CoRR abs/2404.01207 (2024) - 2023
- [j47]Marie A. R. Manalili
, Amy Pearson, Justin Sulik, Louise Creechan, Mahmoud Elsherif, Inika Murkumbi, Flavio Azevedo, Kathryn L. Bonnen, Judy S. Kim, Konrad P. Kording, Julie J. Lee, Manifold Obscura, Steven K. Kapp, Jan Philipp Röer, Talia Morstead:
From Puzzle to Progress: How Engaging With Neurodiversity Can Improve Cognitive Science. Cogn. Sci. 47(2) (2023) - [j46]David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Sasha Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Kording, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. ACM Comput. Surv. 55(2): 42:1-42:96 (2023) - [j45]Benjamin James Lansdell, Konrad Paul Körding:
Neural spiking for causal inference and learning. PLoS Comput. Biol. 19(4) (2023) - [j44]Ari S. Benjamin, Konrad P. Kording:
A role for cortical interneurons as adversarial discriminators. PLoS Comput. Biol. 19(9) (2023) - [j43]Mikkel Elle Lepperød, Tristan M. Stöber, Torkel Hafting, Marianne Fyhn, Konrad Paul Körding:
Inferring causal connectivity from pairwise recordings and optogenetics. PLoS Comput. Biol. 19(11) (2023) - [c33]Janaki Sheth, Jared S. Collina, Konrad P. Kording, Yale Cohen, Maria N. Geffen:
The Interplay of Relevance, Sensory Uncertainty and Statistical Learning Influences Auditory Categorization. CogSci 2023 - [c32]Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - [c31]Arna Ghosh, Yuhan Helena Liu, Guillaume Lajoie, Konrad P. Körding, Blake Aaron Richards:
How gradient estimator variance and bias impact learning in neural networks. ICLR 2023 - [c30]Richard D. Lange, Devin Kwok, Jordan Kyle Matelsky, Xinyue Wang, David Rolnick, Konrad P. Kording:
Deep Networks as Paths on the Manifold of Neural Representations. TAG-ML 2023: 102-133 - [i36]Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording:
A large language model-assisted education tool to provide feedback on open-ended responses. CoRR abs/2308.02439 (2023) - 2022
- [j42]Richard D. Lange, David Rolnick, Konrad P. Kording:
Clustering units in neural networks: upstream vs downstream information. Trans. Mach. Learn. Res. 2022 (2022) - [c29]Tony Liu, Patrick N. Lawlor, Lyle H. Ungar, Konrad P. Kording:
Data-driven exclusion criteria for instrumental variable studies. CLeaR 2022: 485-508 - [i35]Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i34]Richard D. Lange, David S. Rolnick, Konrad P. Kording:
Clustering units in neural networks: upstream vs downstream information. CoRR abs/2203.11815 (2022) - [i33]Artem Kaznatcheev, Konrad Paul Körding:
Nothing makes sense in deep learning, except in the light of evolution. CoRR abs/2205.10320 (2022) - [i32]Richard D. Lange, Jordan Matelsky, Xinyue Wang, Devin Kwok, David S. Rolnick, Konrad P. Kording:
Neural Networks as Paths through the Space of Representations. CoRR abs/2206.10999 (2022) - [i31]Xinyue Wang, Konrad P. Kording:
Meta-learning Causal Discovery. CoRR abs/2209.05598 (2022) - [i30]Anthony Zador, Blake A. Richards, Bence Ölveczky, Sean Escola, Yoshua Bengio, Kwabena Boahen, Matthew M. Botvinick, Dmitri B. Chklovskii, Anne Churchland, Claudia Clopath, James DiCarlo, Surya Ganguli, Jeff Hawkins, Konrad P. Körding, Alexei A. Koulakov, Yann LeCun, Timothy P. Lillicrap, Adam H. Marblestone, Bruno A. Olshausen, Alexandre Pouget, Cristina Savin, Terrence J. Sejnowski, Eero P. Simoncelli, Sara A. Solla, David Sussillo, Andreas S. Tolias, Doris Tsao:
Toward Next-Generation Artificial Intelligence: Catalyzing the NeuroAI Revolution. CoRR abs/2210.08340 (2022) - 2021
- [j41]Tony Liu, Lyle H. Ungar, Konrad P. Kording:
Quantifying causality in data science with quasi-experiments. Nat. Comput. Sci. 1(1): 24-32 (2021) - [j40]Ilenna Simone Jones, Konrad Paul Körding:
Might a Single Neuron Solve Interesting Machine Learning Problems Through Successive Computations on Its Dendritic Tree? Neural Comput. 33(6): 1554-1571 (2021) - [j39]Khashayar Filom, Roozbeh Farhoodi, Konrad Paul Körding:
On PDE Characterization of Smooth Hierarchical Functions Computed by Neural Networks. Neural Comput. 33(12): 3204-3263 (2021) - [i29]Jordan Lei, Ari S. Benjamin, Konrad P. Kording:
Object Based Attention Through Internal Gating. CoRR abs/2106.04540 (2021) - 2020
- [j38]Titipat Achakulvisut, Daniel E. Acuna, Konrad P. Körding:
Pubmed Parser: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset XML Dataset. J. Open Source Softw. 5(46): 1979 (2020) - [j37]Mainak Jas, Titipat Achakulvisut, Aid Idrizovic, Daniel E. Acuna, Matthew Antalek, Vinícius Marques, Tommy Odland, Ravi Garg, Mayank Agrawal, Yu Umegaki, Peter Foley, Hugo Fernandes, Drew Harris, Beibin Li, Olivier Pieters, Scott Otterson, Giovanni De Toni, Chris C. Rodgers, Eva L. Dyer, Matti S. Hämäläinen, Konrad P. Körding, Pavan Ramkumar:
Pyglmnet: Python implementation of elastic-net regularized generalized linear models. J. Open Source Softw. 5(47): 1959 (2020) - [c28]Sofiya Lysenko, Nidhi Seethapathi, Laura Prosser, Konrad P. Körding, Michelle J. Johnson:
Towards Automated Emotion Classification of Atypically and Typically Developing Infants. BioRob 2020: 503-508 - [c27]Jordan Guerguiev, Konrad P. Körding, Blake A. Richards:
Spike-based causal inference for weight alignment. ICLR 2020 - [c26]Benjamin James Lansdell, Prashanth Ravi Prakash, Konrad Paul Körding:
Learning to solve the credit assignment problem. ICLR 2020 - [c25]David Rolnick, Konrad P. Kording:
Reverse-engineering deep ReLU networks. ICML 2020: 8178-8187 - [i28]Saeed Ghorbani, Kimia Mahdaviani, Anne Thaler, Konrad P. Körding, Douglas James Cook, Gunnar Blohm, Nikolaus F. Troje:
MoVi: A Large Multipurpose Motion and Video Dataset. CoRR abs/2003.01888 (2020) - [i27]Khashayar Filom, Konrad Paul Körding, Roozbeh Farhoodi:
PDE constraints on smooth hierarchical functions computed by neural networks. CoRR abs/2005.08859 (2020) - [i26]Ari S. Benjamin, Konrad P. Kording:
An adversarial algorithm for variational inference with a new role for acetylcholine. CoRR abs/2006.10811 (2020)
2010 – 2019
- 2019
- [j36]Roozbeh Farhoodi, Benjamin James Lansdell, Konrad Paul Körding:
Quantifying How Staining Methods Bias Measurements of Neuron Morphologies. Frontiers Neuroinformatics 13: 36 (2019) - [j35]Tony Liu, Jennifer Nicholas, Max-Marcel Theilig, Sharath Chandra Guntuku, Konrad P. Körding, David C. Mohr, Lyle H. Ungar:
Machine Learning for Phone-Based Relationship Estimation: The Need to Consider Population Heterogeneity. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3(4): 145:1-145:23 (2019) - [j34]Gunnar Blohm, Paul Schrater, Konrad P. Körding:
Ten Simple Rules for Organizing and Running a Successful Intensive Two-Week Course. Neural Comput. 31(1) (2019) - [j33]Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad P. Körding:
On Functions Computed on Trees. Neural Comput. 31(11): 2075-2137 (2019) - [c24]Ari S. Benjamin, David Rolnick, Konrad P. Körding:
Measuring and regularizing networks in function space. ICLR (Poster) 2019 - [c23]Wei Shi Wang, Rochelle Mendonca, Konrad P. Kording, Mikael Avery, Michelle J. Johnson:
Towards Data-Driven Autonomous Robot-Assisted Physical Rehabilitation Therapy. ICORR 2019: 34-39 - [i25]Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad Paul Körding:
On functions computed on trees. CoRR abs/1904.02309 (2019) - [i24]Benjamin James Lansdell, Sofia Triantafillou, Konrad P. Körding:
Rarely-switching linear bandits: optimization of causal effects for the real world. CoRR abs/1905.13121 (2019) - [i23]Benjamin James Lansdell, Prashanth Ravi Prakash, Konrad Paul Körding:
Learning to solve the credit assignment problem. CoRR abs/1906.00889 (2019) - [i22]David Rolnick, Priya L. Donti, Lynn H. Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, Alexandra Luccioni, Tegan Maharaj, Evan D. Sherwin, S. Karthik Mukkavilli, Konrad P. Körding, Carla P. Gomes, Andrew Y. Ng, Demis Hassabis, John C. Platt, Felix Creutzig, Jennifer T. Chayes, Yoshua Bengio:
Tackling Climate Change with Machine Learning. CoRR abs/1906.05433 (2019) - [i21]Titipat Achakulvisut, Chandra Bhagavatula, Daniel E. Acuna, Konrad P. Körding:
Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. CoRR abs/1907.00962 (2019) - [i20]Timothy P. Lillicrap, Konrad P. Körding:
What does it mean to understand a neural network? CoRR abs/1907.06374 (2019) - [i19]Nidhi Seethapathi, Shaofei Wang, Rachit Saluja, Gunnar Blohm, Konrad P. Körding:
Movement science needs different pose tracking algorithms. CoRR abs/1907.10226 (2019) - [i18]David Rolnick, Konrad P. Körding:
Identifying Weights and Architectures of Unknown ReLU Networks. CoRR abs/1910.00744 (2019) - [i17]Jordan Guerguiev, Konrad P. Körding, Blake A. Richards:
Spike-based causal inference for weight alignment. CoRR abs/1910.01689 (2019) - [i16]Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony:
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. CoRR abs/1912.02937 (2019) - 2018
- [j32]Ari S. Benjamin, Hugo L. Fernandes, Tucker Tomlinson, Pavan Ramkumar, Chris VerSteeg, Raeed H. Chowdhury, Lee E. Miller, Konrad P. Körding:
Modern Machine Learning as a Benchmark for Fitting Neural Responses. Frontiers Comput. Neurosci. 12: 56 (2018) - [j31]Patrick N. Lawlor, Matthew G. Perich, Lee E. Miller, Konrad P. Körding:
Linear-nonlinear-time-warp-poisson models of neural activity. J. Comput. Neurosci. 45(3): 173-191 (2018) - [c22]Shaofei Wang, Alexander Ihler, Konrad P. Körding, Julian Yarkony:
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation. ECCV (14) 2018: 677-692 - [i15]Misha Teplitskiy, Daniel E. Acuna, Aida Elamrani-Raoult, Konrad P. Körding, James Evans:
The Social Structure of Consensus in Scientific Review. CoRR abs/1802.01270 (2018) - [i14]Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, Konrad P. Körding:
The Roles of Supervised Machine Learning in Systems Neuroscience. CoRR abs/1805.08239 (2018) - [i13]Ari S. Benjamin, David Rolnick, Konrad P. Körding:
Measuring and regularizing networks in function space. CoRR abs/1805.08289 (2018) - [i12]Benjamin James Lansdell, Konrad Paul Körding:
Towards learning-to-learn. CoRR abs/1811.00231 (2018) - 2017
- [j30]Eric Jonas, Konrad Paul Körding:
Could a Neuroscientist Understand a Microprocessor? PLoS Comput. Biol. 13(1) (2017) - [j29]Abby Tabor, Michael A. Thacker, G. Lorimer Moseley, Konrad P. Körding:
Pain: A Statistical Account. PLoS Comput. Biol. 13(1) (2017) - [j28]Thaddeus Cybulski, Edward S. Boyden, George M. Church, Keith E. J. Tyo, Konrad P. Körding:
Nucleotide-time alignment for molecular recorders. PLoS Comput. Biol. 13(5) (2017) - [j27]Brett Mensh, Konrad P. Körding:
Ten simple rules for structuring papers. PLoS Comput. Biol. 13(9) (2017) - [i11]Orianna Demasi, Konrad P. Körding, Benjamin Recht:
Meaningless comparisons lead to false optimism in medical machine learning. CoRR abs/1707.06289 (2017) - [i10]Joshua I. Glaser, Raeed H. Chowdhury, Matthew G. Perich, Lee E. Miller, Konrad P. Körding:
Machine learning for neural decoding. CoRR abs/1708.00909 (2017) - [i9]Shaofei Wang, Konrad Paul Körding, Julian Yarkony:
Exploiting skeletal structure in computer vision annotation with Benders decomposition. CoRR abs/1709.04411 (2017) - [i8]Shaofei Wang, Konrad Paul Körding, Julian Yarkony:
Efficient Multi-Person Pose Estimation with Provable Guarantees. CoRR abs/1711.07794 (2017) - 2016
- [j26]Joshua I. Glaser, Konrad P. Körding:
The Development and Analysis of Integrated Neuroscience Data. Frontiers Comput. Neurosci. 10: 11 (2016) - [j25]Adam H. Marblestone, Greg Wayne, Konrad P. Körding:
Toward an Integration of Deep Learning and Neuroscience. Frontiers Comput. Neurosci. 10: 94 (2016) - [j24]Kang He, You Liang, Farnaz Abdollahi, Moria F. Bittmann, Konrad P. Körding, Kunlin Wei:
The Statistical Determinants of the Speed of Motor Learning. PLoS Comput. Biol. 12(9) (2016) - [j23]Max Berniker, Anthony M. Jarc, Konrad P. Körding, Matthew C. Tresch:
A Probabilistic Analysis of Muscle Force Uncertainty for Control. IEEE Trans. Biomed. Eng. 63(11): 2359-2367 (2016) - [c21]Luca Lonini, Aakash Gupta, Konrad P. Körding, Aran Jayaraman:
Activity recognition in patients with lower limb impairments: Do we need training data from each patient? EMBC 2016: 3265-3268 - [c20]Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding:
Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. UAI 2016 - [i7]Mohammad Gheshlaghi Azar, Eva L. Dyer, Konrad P. Körding:
Convex Relaxation Regression: Black-Box Optimization of Smooth Functions by Learning Their Convex Envelopes. CoRR abs/1602.02191 (2016) - [i6]Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad P. Körding:
Science Concierge: A fast content-based recommendation system for scientific publications. CoRR abs/1604.01070 (2016) - [i5]William R. Gray Roncal, Eva L. Dyer, Doga Gürsoy, Konrad P. Körding, Narayanan Kasthuri:
From sample to knowledge: Towards an integrated approach for neuroscience discovery. CoRR abs/1604.03199 (2016) - [i4]Eva L. Dyer, William R. Gray Roncal, Hugo L. Fernandes, Doga Gürsoy, Xianghui Xiao, Joshua T. Vogelstein, Chris Jacobsen, Konrad P. Körding, Narayanan Kasthuri:
Quantifying mesoscale neuroanatomy using X-ray microtomography. CoRR abs/1604.03629 (2016) - 2015
- [j22]Max Berniker, Konrad P. Körding:
Deep networks for motor control functions. Frontiers Comput. Neurosci. 9: 32 (2015) - [c19]Reva E. Johnson, Konrad P. Körding, Levi J. Hargrove, Jonathon W. Sensinger:
Similar trial-by-trial adaptation behavior across transhumeral amputees and able-bodied subjects. NER 2015: 771-774 - [c18]Sohrab Saeb, Mi Zhang, Mary J. Kwasny, Christopher J. Karr, Konrad P. Körding, David C. Mohr:
The relationship between clinical, momentary, and sensor-based assessment of depression. PervasiveHealth 2015: 229-232 - [i3]Joshua I. Glaser, Bradley M. Zamft, George M. Church, Konrad P. Körding:
Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization. CoRR abs/1502.07816 (2015) - [i2]Eva L. Dyer, Tom Goldstein, Raajen Patel, Konrad P. Körding, Richard G. Baraniuk:
Self-Expressive Decompositions for Matrix Approximation and Clustering. CoRR abs/1505.00824 (2015) - 2014
- [j21]Thaddeus Cybulski, Joshua I. Glaser, Adam Henry Marblestone, Bradley M. Zamft, Edward S. Boyden III, George M. Church, Konrad P. Körding:
Spatial information in large-scale neural recordings. Frontiers Comput. Neurosci. 8: 172 (2014) - [c17]Reva E. Johnson, Konrad P. Körding, Levi J. Hargrove, Jonathon W. Sensinger:
The effect of powered prosthesis control signals on trial-by-trial adaptation to visual perturbations. EMBC 2014: 3512-3515 - [i1]Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang, Daniel E. Acuna, Konrad P. Körding, Luís A. Nunes Amaral:
A high-reproducibility and high-accuracy method for automated topic classification. CoRR abs/1402.0422 (2014) - 2013
- [j20]Qicheng Ding, Ian H. Stevenson, Ninghua Wang, Wei Li, Yao Sun, Qining Wang, Konrad P. Körding, Kunlin Wei:
Motion games improve balance control in stroke survivors: A preliminary study based on the principle of constraint-induced movement therapy. Displays 34(2): 125-131 (2013) - [j19]Adam H. Marblestone, Bradley M. Zamft, Yael Maguire, Mikhail G. Shapiro, Thaddeus Cybulski, Joshua I. Glaser, Dario Amodei, P. Benjamin Stranges, Reza Kalhor, David Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden III, George M. Church, Konrad P. Körding:
Physical principles for scalable neural recording. Frontiers Comput. Neurosci. 7: 137 (2013) - [j18]Joshua I. Glaser, Bradley M. Zamft, Adam H. Marblestone, Jeffrey R. Moffitt, Keith E. J. Tyo, Edward S. Boyden III, George M. Church, Konrad P. Körding:
Statistical Analysis of Molecular Signal Recording. PLoS Comput. Biol. 9(7) (2013) - 2012
- [j17]Mark V. Albert, Nicolas Catz, Peter Thier, Konrad P. Körding:
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function. Frontiers Comput. Neurosci. 6: 96 (2012) - [j16]Ian H. Stevenson, Brian M. London, Emily R. Oby, Nicholas A. Sachs, Jacob Reimer, Bernhard Englitz, Stephen V. David, Shihab A. Shamma, Timothy J. Blanche, Kenji Mizuseki, Amin Zandvakili, Nicholas G. Hatsopoulos, Lee E. Miller, Konrad P. Körding:
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons. PLoS Comput. Biol. 8(11) (2012) - [j15]Guy Avraham, Ilana Nisky, Hugo L. Fernandes, Daniel E. Acuna, Konrad P. Körding, Gerald E. Loeb, Amir Karniel:
Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test. IEEE Trans. Haptics 5(3): 196-207 (2012) - [c16]Elaine A. Corbett, Konrad P. Körding, Eric J. Perreault:
Real-time fusion of gaze and EMG for a reaching neuroprosthesis. EMBC 2012: 739-742 - 2011
- [j14]Max Berniker, Konrad P. Körding:
Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects. PLoS Comput. Biol. 7(10) (2011) - [j13]Konrad P. Körding:
Of Toasters and Molecular Ticker Tapes. PLoS Comput. Biol. 7(12) (2011) - [c15]Max Berniker, Konrad P. Körding:
Discrete-time local dynamic programming. ACC 2011: 618-625 - [c14]Anirban Dutta, Konrad P. Körding, Eric J. Perreault, Levi J. Hargrove:
Sensor-fault tolerant control of a powered lower limb prosthesis by mixing mode-specific adaptive Kalman filters. EMBC 2011: 3696-3699 - [c13]Elaine A. Corbett, Nicholas A. Sachs, Konrad P. Körding, Eric J. Perreault:
Dealing with noisy gaze information for a target-dependent neural decoder. EMBC 2011: 5428-5431 - [c12]Ian H. Stevenson, Konrad P. Körding:
Inferring spike-timing-dependent plasticity from spike train data. NIPS 2011: 2582-2590 - 2010
- [j12]Kunlin Wei, Konrad P. Körding:
Uncertainty of feedback and state estimation determines the speed of motor adaptation. Frontiers Comput. Neurosci. 4: 11 (2010) - [j11]Kalpana Dokka, Robert V. Kenyon, Emily A. Keshner, Konrad P. Körding:
Self versus Environment Motion in Postural Control. PLoS Comput. Biol. 6(2) (2010) - [c11]Elaine A. Corbett, Eric J. Perreault, Konrad P. Körding:
Mixture of time-warped trajectory models for movement decoding. NIPS 2010: 433-441
2000 – 2009
- 2009
- [j10]Gregory Dam, Konrad P. Körding:
Exploration and Exploitation During Sequential Search. Cogn. Sci. 33(3): 530-541 (2009) - [j9]Ian H. Stevenson, Hugo L. Fernandes, Iris Vilares, Kunlin Wei, Konrad P. Körding:
Bayesian Integration and Non-Linear Feedback Control in a Full-Body Motor Task. PLoS Comput. Biol. 5(12) (2009) - [c10]Ian H. Stevenson, Konrad P. Körding:
Structural inference affects depth perception in the context of potential occlusion. NIPS 2009: 1777-1784 - 2008
- [j8]Mike Dowman, Virginia Savova, Thomas L. Griffiths, Konrad P. Körding, Joshua B. Tenenbaum, Matthew Purver:
A Probabilistic Model of Meetings That Combines Words and Discourse Features. IEEE Trans. Speech Audio Process. 16(7): 1238-1248 (2008) - 2007
- [c9]Ulrik R. Beierholm, Konrad P. Körding, Ladan Shams, Wei Ji Ma:
Comparing Bayesian models for multisensory cue combination without mandatory integration. NIPS 2007: 81-88 - 2006
- [c8]Matthew Purver, Konrad P. Körding, Thomas L. Griffiths, Joshua B. Tenenbaum:
Unsupervised Topic Modelling for Multi-Party Spoken Discourse. ACL 2006 - [c7]Konrad P. Körding, Joshua B. Tenenbaum:
Causal inference in sensorimotor integration. NIPS 2006: 737-744 - [c6]Konrad P. Körding, Joshua B. Tenenbaum, Reza Shadmehr:
Multiple timescales and uncertainty in motor adaptation. NIPS 2006: 745-752 - 2004
- [j7]Belinda Y. Betsch, Wolfgang Einhäuser, Konrad P. Körding, Peter König:
The world from a cat's perspective - statistics of natural videos. Biol. Cybern. 90(1): 41-50 (2004) - 2003
- [j6]David J. Klein, Peter König, Konrad P. Körding:
Sparse Spectrotemporal Coding of Sounds. EURASIP J. Adv. Signal Process. 2003(7): 659-667 (2003) - [j5]Christoph Kayser, Konrad P. Körding, Peter König:
Learning the Nonlinearity of Neurons from Natural Visual Stimuli. Neural Comput. 15(8): 1751-1759 (2003) - [c5]Verena Vanessa Hafner, Miriam Fend, Max Lungarella, Rolf Pfeifer, Peter König, Konrad P. Körding:
Optimal Coding for Naturally Occurring Whisker Deflections. ICANN 2003: 805-812 - [c4]Konrad P. Körding, Daniel M. Wolpert:
Probabilistic Inference in Human Sensorimotor Processing. NIPS 2003: 1327-1334 - 2002
- [c3]Wolfgang Einhäuser, Christoph Kayser, Konrad P. Körding, Peter König:
Learning Multiple Feature Representations from Natural Image Sequences. ICANN 2002: 21-26 - 2001
- [j4]Konrad P. Körding, Peter König:
Sites of Synaptic Integration. J. Comput. Neurosci. 11(3): 207-215 (2001) - [j3]Konrad P. Körding, Peter König:
Neurons with Two Sites of Synaptic Integration Learn Invariant Representations. Neural Comput. 13(12): 2823-2849 (2001) - [c2]Christoph Kayser, Wolfgang Einhäuser, Olaf Dümmer, Peter König, Konrad P. Körding:
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells. ICANN 2001: 1075-1080 - 2000
- [j2]Markus Siegel, Konrad P. Körding, Peter König:
Integrating Top-Down and Bottom-Up Sensory Processing by Somato-Dendritic Interactions. J. Comput. Neurosci. 8(2): 161-173 (2000) - [j1]Konrad P. Körding, Peter König:
A learning rule for dynamic recruitment and decorrelation. Neural Networks 13(1): 1-9 (2000) - [c1]Konrad P. Körding, Peter König:
Two Sites of Synaptic Integration: Relevant for Learning? IJCNN (4) 2000: 479-484
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