Konrad P. Kording
We are data scientists who are very interested in understanding the brain. Making sense of data is possibly the biggest problem in Neuroscience and beyond. In many ways, sense-making is a machine learning problem. We build algorithms to analyze data. We also use theory, computational, and neural modeling to understand how information is processed in the nervous system. All these developments are aimed at explaining data obtained in collaboration with electrophysiologists and in our own psychophysical experiments. We constrain and develop new technologies aimed at obtaining data about brains. And every now and then we address problems in other fields, including physics, science of science, and medicine.
Our conceptual work in the Bayesian Behavior Lab addresses information processing in the nervous system from two angles: (1) By analyzing and explaining electrophysiological data, we study what neurons do. (2) By analyzing and explaining human behavior, we study what all these neurons do together. Much of our work looks at these questions from a normative viewpoint, asking what problems the nervous system should be solving. This often means taking a Bayesian approach. Bayesian decision theory is the systematic way of calculating how the nervous system can make good decisions in the presence of uncertainty.
Jonas E, and Kording KP: (in press) Automatic discovery of cell types and microcircuitry from neural connectomics, elife paper
Wei, K, Glaser JI, Deng, L, Thompson CK, Stevenson IH, Wang Q, Hornby, TG Heckman, CJ, Kording KP, (2014) Serotonin Affects Movement Gain Control in the Spinal Cord Journal of Neuroscience (Abstract, PDF)
Bayesian statistics: relevant for the brain? Kording, KP (2014) Current opinion in neurobiology (Abstract)
Computer Use Changes Generalization of Movement Learning Wei, K., Yan, X., Kong, G., Yin, C., Zhang, F., Wang, Q., & Kording, K. P. Current Biology (Abstract)Abstract, PDF, Supp)
Decision theory: what should the nervous system do? Kording KP Review, science, 318: 606-610 ( PDF)
The dynamics of memory as a consequence of optimal adaptation to a changing body. Kording KP, Tenenbaum JB, and Shadmehr R Nature Neuroscience, 10:779-786 (PDF)
2017 UPennKonrad starts as PIK (Penn Integrates Knowledge) professor at UPenn.
2015NeurotechnologyTwo new U01s from the NIH: xray tomography of brains, and massive scale electrical recordings. Emphasizing the lab's emerging focus on new neurotechnologies.
2015Full ProfessorPromotion to professor. Years of work. And a loss of a word in the title.
2015Automatic AnatomyNew paper in elife shows how connectivity and many other aspects of neurons can be combined to identify cell types. [link] Major future interest for lab.
2015New big data sourcesIn collaboration with Argonne national lab and with the group of Andreas Schaefer, Konrad is proposing new ways of generating huge amounts of data.
2014RIC CI chairRIC produces a new title for Konrad with a helpful new funding stream.
2013 DNA recording of neural activityWith a new transformative grant by the NIH aimed at recording all activities in the brain onto DNA there is a new focus on high risk high reward projects.
2010TenureCelebrating a great time at Northwestern.
2009 An NIH funded grantThe project "Role of uncertainty for motor learning and adaptation" gets funded by the NINDS.
2006Assistant professor and Northwestern University and the Rehabilitation Institute of ChicagoMostly focusing on computational motor control and its use for rehabilitation. Can not suppress the interest in neural data too long.
2004-2006 Postdoc in computational cognitive scienceNormative models for behavior and topics models for text processing. Extensive learning about statistics.
2002-2004Postdoc in computational motor ControlNormative models of motor control. And extensive experimental tests of these ideas. With Daniel Wolpert at UCL London. Learning statistics and machine learning from Peter Dayan, Maneesh Sahani and others at Gatsby.
2001 PhD in PhysicsThe doctoral thesis focused on simulating groups of neurons, and on calculating how their properties could be optimally matched to the statistical properties of the world.
Rm 106, Hayden Hall
240 S 33rd St, Philadelphia, PA 19104
Bioengineering and Neuroscience at UPenn
tel.: 857 928 5370
Carrot or stick in motor learning Sternad D, Körding KP Nature Neuroscience | News and Views (in press)
Modeling peripheral visual acuity enables discovery of gaze strategies at multiple time scales during natural scene search Ramkumar P, Fernandes H, Kording K, Segraves M Journal of Vision (Abstract, PDF)
Over my fake body: body ownership illusions for studying the multisensory basis of own-body perception Kilteni K, Maselli A, Kording KP, Slater M Frontiers in Human Neuroscience
Deep networks for motor control functions Berniker M, Kording KP Frontiers in Computational Neuroscience
Predicting cognitive function from clinical measures of physical function and health status in older adults Bolandzadeh N, Kording K, Salowitz N, Davis JC, Hsu L, Chan A, Sharma D, Blohm G, Liu-Ambrose T PLOS ONE
Puzzle Imaging: Using Large-scale Dimensionality Reduction Algorithms for Localization Joshua I. Glaser, Bradley M. Zamft, George M. Church, Konrad P. Kording arXiv (Paper)
High-Reproducibility and High-Accuracy Method for Automated Topic Classification Lancichinetti A, Sirer MI, Wang JX, Acuna D, Körding K, Amaral LAN PHYSICAL REVIEW X
Spatial Information in Large-Scale Neural Recordings Thaddeus R. Cybulski*, Joshua I. Glaser*, Adam H. Marblestone, Bradley M. Zamft, Edward S. Boyden, George M. Church, Konrad P. Kording Frontiers in Computational Neuroscience (Paper)2014
Serotonin Affects Movement Gain Control in the Spinal Cord Kunlin Wei, Joshua I. Glaser, Linna Deng, Christopher K. Thompson, Ian H. Stevenson, Qining Wang, Thomas George Hornby, Charles J. Heckman, Konrad P. Kording Journal of Neuroscience (Abstract, PDF)
Multi-faceted aspects of chunking enable robust algorithms DE Acuna, NF Wymbs, CA Reynolds, N Picard, RS Turner, PL Strick, ST Grafton, and K Kording Journal of neurophysiology (Abstract)
Bayesian statistics: relevant for the brain? Kording, KP Current opinion in neurobiology (Abstract)
Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics Marblestone AH, Daugharthy ER, Kalhor R, Peikon ID, Kebschull JM, Shipman SL, Mishchenko Y, Lee J, Kording KP, Boyden ES, Zador AM & Church GM arXiv (Abstract, PDF)
Computer Use Changes Generalization of Movement Learning Wei, K., Yan, X., Kong, G., Yin, C., Zhang, F., Wang, Q., & Kording, K. P. Current Biology (Abstract)
Multimodal decoding and congruent sensory information enhance reaching performance in subjects with cervical spinal cord injury EA Corbett, NA Sachs, KP Körding, EJ Perreault Frontiers in Neuroscience (Abstract, PDF) 2013
Motor learning of novel dynamics is not represented in a single global coordinate system: evaluation of mixed coordinate representations and local learning Max Berniker, David W Franklin, J. Randall Flanagan, Daniel M. Wolpert, & Konrad Kording Journal of Neurophysiology (PrePrint)
Hand, belt, pocket or bag: Practical activity tracking with mobile phones Stephen A. Antos, Mark V. Albert, Konrad P. Kording Journal of Neuroscience Methods (PDF)
Statistical Analysis of Molecular Signal Recording Joshua I. Glaser, Bradley M. Zamft, Adam H. Marblestone, Jeffrey R. Moffitt, Keith Tyo, Edward S. Boyden, George Church, Konrad P. Kording PLoS Comput Biol 9(7): e1003145. doi:10.1371/journal.pcbi.1003145 (Abstract, PDF)
Monitoring Functional Capability of Individuals with Lower Limb Amputations Using Mobile Phones Albert MV, McCarthy C, Valentin J, Herrmann M, Kording K, Jayaraman J (2013) PLoS ONE 8(6): e65340. doi:10.1371/journal.pone.0065340 link
Wii Fit Balance Board Playing Improves Balance and Gait in Parkinson Disease Priya V Mhatre, Iris Vilares, Stacy M Stibb, Mark V Albert, PT Laura Pickering, Christina M Marciniak, Konrad Kording, Santiago Toledo PM&R article
Physical Principles for Scalable Neural Recording Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire, Mikhail G. Shapiro, Thaddeus R. Cybulski, Joshua I. Glaser, P. Benjamin Stranges, Reza Kalhor, David A. Dalrymple, Dongjin Seo, Elad Alon, Michel M. Maharbiz, Jose M. Carmena, Jan M. Rabaey, Edward S. Boyden, George M. Church, Konrad P. Kording Frontiers in Computational Neuroscience. 7:137. doi: 10.3389/fncom.2013.00137 paper
Generalization of unconstrained reaching with hand weight changes Yan, X., Wang, Q., Lu, Z., Stevenson, IH., Kording, K. & Wei K.* Journal of Neurophysiology 109(1): 137-146. pdf
Credit Assignment during Movement Reinforcement Learning G Dam, KP Kording, K Wei PLOS ONE 8(2): e55352. doi:10.1371/journal.pone.0055352 (PDF)
Generalization of unconstrained reaching with hand-weight changes X Yan, Q Wang, Z Lu, IH Stevenson, KP Kording, K Wei Journal of Neurophysiology 109 (1), 137-146 (PDF)2012
Saccadic gain adaptation is predicted by the statistics of natural fluctuations in oculomotor function Albert MV, Catz N, Thier P, and Kording KP (2012) Frontiers in Computational Neuroscience. 6:96. doi: 10.3389/fncom.2012.00096 paper
Using mobile phones for activity recognition in Parkinson's patients Albert MV, Toledo S, Shapiro M, and Kording KP (2012) Frontiers in Neurology 3:158. doi: 10.3389/fneur.2012.00158 paper
Functional Connectivity and Tuning Curves in Populations of Simultaneously Recorded Neurons. Stevenson IH, London BM, Oby ER, Sachs NA, Reimer J, et al. (2012) PLoS Comput Biol 8(11): e1002775. doi:10.1371/journal.pcbi.1002775, paper
Motion games improve balance control in stroke survivors: a preliminary study based on the principle of constraint-induced movement therapy Q Ding, IH Stevenson, N Wang, W Li, Y Sun, Q Wang, K Kording, K Wei Displays, pdf
Generalization of unconstrained reaching with hand weight changes Yan X, Wang Q, Lu Z, Stevenson IH, Kording KP, Wei K J. Neurophys, pdf
Advanced User Interfaces for Upper Limb FES Corbett E, Ethier C, Oby ER, Kording K, Perreault E J, Miller LE Book chapter in "Introduction to neural engineering for motor rehabilitation" eds. Farina, D, Jensen, W, Akay, M., in press
What silly postures tell us about the brain Sober SJ and Koerding KP Front. Neurosci. 6:154. doi: 10.3389/fnins.2012.00154 (paper)
Temporal Integration of Olfactory Perceptual Evidence in Human Orbitofrontal Cortex Nicholas E. Bowman, Konrad P. Kording, Jay A. Gottfried Neuron, Volume 75, Issue 5, 916-927 (PDF)
Measuring Cation Dependent DNA Polymerase Fidelity Landscapes by Deep Sequencing Zamft B, Marblestone A, Kording K, Schmidt D, Martin-Alarcon D, TyoK, Boyden E, Church GM PLoS ONE in press (PDF, Supplementary data)
Towards Perceiving Robots as Humans – Three handshake models face the Turing-like Handshake Test Avraham G, Nisky I, Fernandes HL, Acuna DE, Kording KP, Loeb GE, Karniel A IEEE Transactions on Haptics (Abstract, PDF)
Decoding with limited neural data: a mixture of time-warped trajectory models for directional reaches Corbett EA, Perreault EJ and Kording KP. Journal of Neural Engineering, (PDF).2011
Of toasters and molecular ticker tapes, Konrad Kording PLoS Computational Biology 7(12): e1002291. doi:10.1371/journal.pcbi.1002291 (PDF)
Inferring spike-timing-dependent plasticity from spike train data, Stevenson IH and Kording KP Advances in Neural Information Processing Systems 24, (PDF).
Estimating the Relevance of World Disturbances to Explain Savings, Interference and Long-Term Motor Adaptation Effects Berniker M and Kording KP PLoS Computational Biology 7(10): e1002210. (PDF)
Bayesian approaches to modeling action selection Berniker, M, Wei, K and Kording, KP CUP book: Modeling natural action selection, Anil Seth, editor ( PDF)
Sensory Cue Integration Trommershauser, J, Kording, K and Landy, M, (eds) Oxford University Press Book Info
Causal inference in sensorimotor learning and control Wei, K. and Kording, K. Sensory Cue Integration eds: Trommershauser, J., Kording, K., and Landy, M.S. Oxford University Press Book info
Bayesian Approaches to Sensory Integration for Motor Control Berniker, M. and Kording, KP Chapter, WIREs Cognitive Science (PDF)
Statistical assessment of the stability of neural movement representations Stevenson IH, Cherian A, London BM, Sachs N, Lindberg E, Reimer J, Slutzky MW, Hatsopoulos NG, Miller LE, and Kording KP. Journal of Neurophysiology 106: 764-774. (Abstract, PDF)
Mixture of time-warped trajectory models for movement decoding Corbett, E, Perreault, E and Kording, KP Advances in Neural Information Processing Systems 22 (abstract)
Looking for synergies between the equilibrium point hypothesis and internal models, Commentary on the Paper by Mark Latash: “Equilibrium Point Hypothesis” Shapiro, M and Kording, KP Motor Control Volume 14, Issue 3 Purchase article
The uncertainty associated with visual flow fields and their influence on postural sway: Weber's law suffices to explain the nonlinearity of vection Wei K, Stevenson IH, and Körding KP. Journal of Vision 10(14): 4. (Abstract, PDF)
Sensory adaptation and short term plasticity as Bayesian correction for a changing brain Stevenson IH*, Cronin B*, Sur M, and Körding KP. (* contributed equally) PLoS ONE 5(8): e12436. (Abstract, PDF)
Hierarchical Bayesian modeling and Markov chain Monte Carlo sampling for tuning curve analysis Cronin B*, Stevenson IH*, Sur M, and Körding KP. (* contributed equally) Journal of Neurophysiology 103: 591-602. (Abstract, PDF, Code)2009
Bayesian integration and non-linear feedback control in a full-body motor task Stevenson IH, Fernandes HL, Vilares I, Wei K, and Körding KP. PLoS Computational Biology 5(12): e1000629. (Abstract, PDF)
Comparing Bayesian models for multisensory cue combination without mandatory integration Beierholm U, Kording KP, Shams L, Ma WJ Advances in Neural Information Processing Systems 20, 81-88. MIT Press, Cambridge, MA (PDF)
Bayesian Statistics (with Particular Focus on the Motor System) Berniker, M, and Kording, KP Encyclopedia of Neuroscience, Part 2, 355-359 PDF
Bayesian inference of functional connectivity and network structure from spikes Stevenson IH, Rebesco JM, Hatsopoulos NG, Haga Z, Miller LE, and Körding KP. IEEE TNSRE (Special Issue on Brain Connectivity). 17, 3: 203-213. (Abstract, PDF, Code)
Exploration and exploitation during sequential search Dam G and Kording KP. Cognitive Science, 33 (3), 530-541. ( PDF)
A probabilistic model of meetings that combines words and discourse features Dowman, M., Savova, V., Griffiths, T.L., Kording, K.P., Tenenbaum, J.B., Purver, M. IEEE Transactions on Audio, Speech, and Language Processing, 16, 1238-1248. (Abstract, PDF)
The statistics of natural hand movements. Ingram JN, Kording KP, Howard IS, Wolpert DM Experimental Brain Research 188:223-236. ( PDF)
A probabilistic model of meetings that combines words and discourse features. Dowman, M., Savova, V., Griffiths, T. L., Kording, K. P., Tenenbaum, J. B., Purver, M. IEEE Transactions on Audio, Speech, and Language Processing, 16, 1238-1248. ( PDF)2007
Dynamics of orientation tuning in cat V1 neurons depend on location within layers and orientation map Schummers, J Cronin, B , Wimmer, K, Stimberg, M , Martin, R, Obermayer, K , Kording, K and Sur, M (in press) Frontiers in Neuroscience 2007 (1):145-59 ( PDF)
Causal Inference in Multisensory Perception Kording, KP, Beierholm, U., Ma, W., Quartz, S., Tenenbaum, J., Shams, L., PLOSOne 2(9): e943. doi:10.1371/journal.pone.0000943 ( PDF)
Decision theory: what should the nervous system do? Kording KP Review, science, 318: 606-610 ( PDF)
The dynamics of memory as a consequence of optimal adaptation to a changing body. Kording KP, Tenenbaum JB, and Shadmehr R Nature Neuroscience, 10:779-786 (PDF)2006
Causal Inference in sensorimotor integration Kording, K. and Tenenbaum, J. B. Advances in Neural Information Processing Systems 19 (PDF)
Probabilistic mechanisms in sensorimotor control. Kording, KP and Wolpert, D Novartis Foundation symposium;270:191-8; discussion 198-202, 232-7 Abstract
Multiple timescales and uncertainty in motor adaptation. Kording, KP., Tenenbaum, JB., and Shadmehr, R. Advances in Neural Information Processing Systems 19, eds. Scholkopf, B, Platt, J and Hoffman, T, p 745-752. (PDF)
Bayesian decision theory in sensorimotor control Kording and Wolpert, D. Trends in Cognitive Sciences (TICS) 10(7) 320-326 ( PDF)
Unsupervised topic modelling for multi-party spoken discourse Purver, M., Kording, K. P., Griffiths, T. L., & Tenenbaum, J. B. Proceedings of Coling/ACL (PDF)2004
Bayesian Integration in Force Estimation Kording, KP, Ku, SP and Wolpert, D. J Neurophysiol 92(5):3161-5 (PDF)
Processing of complex stimuli and natural scenes in the visual cortex Kayser, C, Körding, KP, König, P Opinion in Neurobiology ( PDF)
Bayesian Statistics and Utility Functions in Sensorimotor Control. Kording, KP and Wolpert, DM, In Bayesian Brain Doya, K., Ishii, S, Pouget, A. and Rao, RPN (eds), MIT Press Book Info
Predicting Properties of the Rat Somatosensory System by Sparse Coding Hafner, VV. , Fend, M. , König, P. and Körding, KP. Neural Information Processing Letters and Reviews (PDF)
A Neuroeconomics Approach to Inferring Utility Functions in Sensorimotor Control Körding, KP., Fukunaga, I., Howard, IS., Ingram, J. and Wolpert, D. PLOS Biology, Vol. 2, No. 10, e330 doi:10.1371/journal.pbio.0020330 (PDF)
The loss function of sensorimotor learning Körding, KP. and Wolpert, D. Proceedings of the National Academy of Sciences 101:9839-42 (PDF)
Bayesian Integration in Sensorimotor Learning Körding, KP. and Wolpert, D. Nature 427:244-247 (PDF)
The world from a cat's perspective -- statistics of natural videos Betsch, B, Einhäuser, W., Körding, KP and König, P. Biological Cybernetics (PDF)2003
How are complex cell properties adapted to the statistics of natural scenes? Körding, KP, Kayser, C., Einhäuser, W. and König,P., Journal of Neurophysiology 91(1):206-212 (PDF)
Probabilistic Inference in Human Sensorimotor Processing Körding, KP. and Wolpert, D. NIPS ( PDF)
Optimal coding for naturally occurring whisker deflections Hafner, V. V., Fend, M., Lungarella, M., Pfeifer, R., König, P., Körding, K. P. Proceedings of the Joint International Conference on Artificial Neural Networks and Neural Information Processing (ICANN/ICONIP), Springer Lecture Notes in Computer Science, pp. 805-812, ISSN 0302-9743, ISBN 3-540-40409-2, Istanbul (PDF)
Learning distinct and complementary feature-selectivities from natural colour videos Einhäuser, W., Kayser, C., Körding, K.P. and König,P. Reviews in the Neurosciences 14, p. 43-52, 2003. (PDF)
Sparse spectrotemporal coding of sounds Klein, D.J., König, P. and Körding, K.P. EURASIP Journal on Applied Signal Processing, 7, 659-667 (PDF)
On the choice of a sparse prior Körding, K.P., Kayser, C. and König, P. Reviews in the Neurosciences 14, p. 53-62, 2003 (PDF)
Learning the nonlinearity of neurons from natural visual stimuli Kayser C, Körding KP, König P. Neural Computation. 15(8) 1751-1759. (PDF)2002
Learning Multiple Feature Representations from Natural Image Sequences Einhäuser,W. Kayser,C. Körding K.P. and König,P. Artificial Neural Networks:ICANN 2002, Springer Verlag Berlin Heidelberg New York. (PDF)
Learning the invariance properties of complex cells from their responses to natural stimuli Einhäuser, W., Kayser, C. , König, P. and Körding, K.P. Eur J Neurosci 2002 Feb;15(3):475-86 (PDF)
Learning of sparse auditory receptive fields Konrad P. Körding, Peter König, and David J. Klein IJCNN (PDF)2001
Non contact eye-tracking on cats Körding, K.P., Kayser C., Betsch, B. and König, P. J Neurosci Methods. Sep 30;110:103-111 PDF
Neurons with two sites of synaptic integration learn invariant representations. Körding, K.P. and König,P. Neural Computation 13:2823-2849 PDF
Extracting slow subspaces from natural videos leads to complex cells. Kayser, C., Einhäuser, W., Dümmer, O., König, P. and Körding, K.P. International conference on artificial neural networks PDF
Supervised and unsupervised learning with two sites of synaptic integration. Körding, K.P. and König ,P. Journal of Computational Neuroscience11:207-215 PDF2000
A spike based learning rule for the generation of invariant representations. Körding, K.P. and König, P. Journal of Physiology Paris 94:539-548 PDF
A learning rule for local decorrelation and dynamic recruitment Körding, K.P. and König,P. Neural Networks 13:1-9 PDF
Integrating top-down and bottom-up sensory processing by somato-dendritic interactions Siegel,M. Körding,K.P. and König, P. J. Comp. Neurosci 8:161-173 PDF
Learning with two sites of synaptic integration Konrad P. Körding and Peter König Network: Computation in Neural Systems 11:25-39 PDF
Two sites of synaptic integration: Relevant for learning? Körding, K.P. and König, P. International Joint Conference on Neural Networks PDF