Jakob H. Macke, PhD - Publications

Gatsby Computational Neuroscience Unit University College London, London, United Kingdom 
Computation and Theory, Vision

49 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Dax M, Green SR, Gair J, Pürrer M, Wildberger J, Macke JH, Buonanno A, Schölkopf B. Neural Importance Sampling for Rapid and Reliable Gravitational-Wave Inference. Physical Review Letters. 130: 171403. PMID 37172245 DOI: 10.1103/PhysRevLett.130.171403  0.51
2022 Deistler M, Macke JH, Gonçalves PJ. Energy-efficient network activity from disparate circuit parameters. Proceedings of the National Academy of Sciences of the United States of America. 119: e2207632119. PMID 36279461 DOI: 10.1073/pnas.2207632119  0.678
2022 Blum C, Baur D, Achauer LC, Berens P, Biergans S, Erb M, Hömberg V, Huang Z, Kohlbacher O, Liepert J, Lindig T, Lohmann G, Macke JH, Römhild J, Rösinger-Hein C, et al. Personalized neurorehabilitative precision medicine: from data to therapies (MWKNeuroReha) - a multi-centre prospective observational clinical trial to predict long-term outcome of patients with acute motor stroke. Bmc Neurology. 22: 238. PMID 35773640 DOI: 10.1186/s12883-022-02759-2  0.475
2021 Dax M, Green SR, Gair J, Macke JH, Buonanno A, Schölkopf B. Real-Time Gravitational Wave Science with Neural Posterior Estimation. Physical Review Letters. 127: 241103. PMID 34951790 DOI: 10.1103/PhysRevLett.127.241103  0.517
2021 Dehnen G, Kehl MS, Darcher A, Müller TT, Macke JH, Borger V, Surges R, Mormann F. Duplicate Detection of Spike Events: A Relevant Problem in Human Single-Unit Recordings. Brain Sciences. 11. PMID 34201115 DOI: 10.3390/brainsci11060761  0.738
2020 Gonçalves PJ, Lueckmann JM, Deistler M, Nonnenmacher M, Öcal K, Bassetto G, Chintaluri C, Podlaski WF, Haddad SA, Vogels T, Greenberg DS, Macke JH. Training deep neural density estimators to identify mechanistic models of neural dynamics. Elife. 9. PMID 32940606 DOI: 10.7554/Elife.56261  0.734
2020 René A, Longtin A, Macke JH. Inference of a Mesoscopic Population Model from Population Spike Trains. Neural Computation. 1-51. PMID 32521212 DOI: 10.1162/Neco_A_01292  0.43
2020 Sekhar S, Ramesh P, Bassetto G, Zrenner E, Macke JH, Rathbun DL. Characterizing Retinal Ganglion Cell Responses to Electrical Stimulation Using Generalized Linear Models. Frontiers in Neuroscience. 14: 378. PMID 32477044 DOI: 10.3389/Fnins.2020.00378  0.343
2019 Macke JH, Nienborg H. Choice (-history) correlations in sensory cortex: cause or consequence? Current Opinion in Neurobiology. 58: 148-154. PMID 31581052 DOI: 10.1016/j.conb.2019.09.005  0.352
2019 Barrett DG, Morcos AS, Macke JH. Analyzing biological and artificial neural networks: challenges with opportunities for synergy? Current Opinion in Neurobiology. 55: 55-64. PMID 30785004 DOI: 10.1016/J.Conb.2019.01.007  0.333
2018 Berens P, Freeman J, Deneux T, Chenkov N, McColgan T, Speiser A, Macke JH, Turaga SC, Mineault P, Rupprecht P, Gerhard S, Friedrich RW, Friedrich J, Paninski L, Pachitariu M, et al. Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Plos Computational Biology. 14: e1006157. PMID 29782491 DOI: 10.1371/Journal.Pcbi.1006157  0.725
2018 Lueckmann JM, Macke JH, Nienborg H. Can serial dependencies in choices and neural activity explain choice probabilities? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 29440531 DOI: 10.1523/Jneurosci.2225-17.2018  0.388
2017 Nonnenmacher M, Behrens C, Berens P, Bethge M, Macke JH. Signatures of criticality arise from random subsampling in simple population models. Plos Computational Biology. 13: e1005718. PMID 28972970 DOI: 10.1371/journal.pcbi.1005718  0.707
2017 Denham S, Poirazi P, De Schutter E, Friston K, Chan HK, Nowotny T, Han D, Hong S, Rosay S, Wernle T, Treves A, Goethals S, Brette R, Van Pottelbergh T, Sepulchre R, ... ... Macke JH, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0370-3  0.653
2016 Schütt HH, Harmeling S, Macke JH, Wichmann FA. Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research. PMID 27013261 DOI: 10.1016/J.Visres.2016.02.002  0.617
2015 Schütt H, Harmeling S, Macke J, Wichmann F. Psignifit 4: Pain-free Bayesian Inference for Psychometric Functions. Journal of Vision. 15: 474. PMID 26326162 DOI: 10.1167/15.12.474  0.536
2015 Panzeri S, Macke JH, Gross J, Kayser C. Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences. 19: 162-72. PMID 25670005 DOI: 10.1016/J.Tics.2015.01.002  0.39
2015 Küffner R, Zach N, Norel R, Hawe J, Schoenfeld D, Wang L, Li G, Fang L, Mackey L, Hardiman O, Cudkowicz M, Sherman A, Ertaylan G, Grosse-Wentrup M, Hothorn T, ... ... Macke JH, et al. Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology. 33: 51-7. PMID 25362243 DOI: 10.1038/Nbt.3051  0.509
2015 Macke JH, Buesing L, Sahani M. Estimating state and parameters in state space models of spike trains Advanced State Space Methods For Neural and Clinical Data. 137-159. DOI: 10.1017/CBO9781139941433.007  0.614
2015 Park M, Bohner G, Macke JH. Unlocking neural population non-stationarity using a hierarchical dynamics model Advances in Neural Information Processing Systems. 2015: 145-153.  0.319
2014 Fründ I, Wichmann FA, Macke JH. Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision. 14. PMID 24944238 DOI: 10.1167/14.7.9  0.599
2014 Schütt HH, Harmeling S, Macke JH, Wichmann FA. Pain-free bayesian inference for psychometric functions F1000research. 5: 162-162. DOI: 10.1177/03010066140430S101  0.593
2014 Archer E, Köster U, Pillow J, Macke JH. Low-dimensional models of neural population activity in sensory cortical circuits Advances in Neural Information Processing Systems. 1: 343-351.  0.599
2013 Haefner RM, Gerwinn S, Macke JH, Bethge M. Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience. 16: 235-42. PMID 23313912 DOI: 10.1038/nn.3309  0.579
2013 Macke JH, Murray I, Latham PE. Estimation bias in maximum entropy models Entropy. 15: 3109-3129. DOI: 10.3390/e15083209  0.414
2013 Macke J. Statistical Modelling of Psychophysical Data Perception. 42: 4-4. DOI: 10.1177/03010066130420S101  0.329
2012 Buesing L, Macke JH, Sahani M. Learning stable, regularised latent models of neural population dynamics. Network (Bristol, England). 23: 24-47. PMID 22663075 DOI: 10.3109/0954898X.2012.677095  0.71
2012 Schwartz G, Macke J, Amodei D, Tang H, Berry MJ. Low error discrimination using a correlated population code. Journal of Neurophysiology. 108: 1069-88. PMID 22539825 DOI: 10.1152/Jn.00564.2011  0.375
2012 Frund I, Wichmann F, Macke J. Dealing with sequential dependencies in psychophysical data Journal of Vision. 12: 1143-1143. DOI: 10.1167/12.9.1143  0.577
2012 Haefner RM, Gerwinn S, Macke JH, Bethge M. Inferring decoding strategy from choice probabilities in the presence of noise correlations Nature Precedings. 7: 1-1. DOI: 10.1038/Npre.2012.7014.1  0.578
2012 Buesing L, Macke JH, Sahani M. Spectral learning of linear dynamics from generalised-linear observations with application to neural population data Advances in Neural Information Processing Systems. 3.  0.63
2011 Macke J, Berens P, Bethge M. Statistical analysis of multi-cell recordings: linking population coding models to experimental data. Frontiers in Computational Neuroscience. 5: 35. PMID 21847379 DOI: 10.3389/fncom.2011.00035  0.681
2011 Macke JH, Opper M, Bethge M. Common input explains higher-order correlations and entropy in a simple model of neural population activity. Physical Review Letters. 106: 208102. PMID 21668265 DOI: 10.1103/PhysRevLett.106.208102  0.601
2011 Gerwinn S, Macke JH, Bethge M. Reconstructing stimuli from the spike times of leaky integrate and fire neurons. Frontiers in Neuroscience. 5: 1. PMID 21390287 DOI: 10.3389/fnins.2011.00001  0.583
2011 Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Gaussian process methods for estimating cortical maps. Neuroimage. 56: 570-81. PMID 20472075 DOI: 10.1016/J.Neuroimage.2010.04.272  0.539
2011 MacKe JH, Büsing L, Cunningham JP, Yu BM, Shenoy KV, Sahani M. Empirical models of spiking in neural populations Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 0.735
2010 Lyamzin DR, Macke JH, Lesica NA. Modeling Population Spike Trains with Specified Time-Varying Spike Rates, Trial-to-Trial Variability, and Pairwise Signal and Noise Correlations. Frontiers in Computational Neuroscience. 4: 144. PMID 21152346 DOI: 10.3389/fncom.2010.00144  0.403
2010 Macke JH, Wichmann FA. Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces. Journal of Vision. 10: 22. PMID 20616129 DOI: 10.1167/10.5.22  0.604
2010 Gerwinn S, Macke JH, Bethge M. Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience. 4: 12. PMID 20577627 DOI: 10.3389/fncom.2010.00012  0.599
2010 Macke JH, Wichmann FA. Predicting psychophysical responses from stimulus features: A statistical evaluation of human gender categorization models Journal of Vision. 9: 519-519. DOI: 10.1167/9.8.519  0.582
2009 Gerwinn S, Macke J, Bethge M. Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience. 3: 21. PMID 20011217 DOI: 10.3389/neuro.10.021.2009  0.609
2009 Macke JH, Berens P, Ecker AS, Tolias AS, Bethge M. Generating spike trains with specified correlation coefficients. Neural Computation. 21: 397-423. PMID 19196233 DOI: 10.1162/Neco.2008.02-08-713  0.772
2009 Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Bayesian estimation of orientation preference maps Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1195-1203. DOI: 10.3389/Conf.Neuro.06.2009.03.310  0.479
2009 Gerwinn S, MacKe JH, Seeger M, Bethge M. Bayesian inference for spiking neuron models with a sparsity prior Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.515
2009 MacKe JH, Zeck G, Bethge M. Receptive fields without spike-triggering Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.433
2008 Ku SP, Gretton A, Macke J, Logothetis NK. Comparison of pattern recognition methods in classifying high-resolution BOLD signals obtained at high magnetic field in monkeys. Magnetic Resonance Imaging. 26: 1007-14. PMID 18691999 DOI: 10.1016/j.mri.2008.02.016  0.34
2008 Macke JH, Maack N, Gupta R, Denk W, Schölkopf B, Borst A. Contour-propagation algorithms for semi-automated reconstruction of neural processes. Journal of Neuroscience Methods. 167: 349-57. PMID 17870180 DOI: 10.1016/j.jneumeth.2007.07.021  0.532
2007 Bethge M, Gerwinn S, Macke JH. Unsupervised learning of a steerable basis for invariant image representations Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.711119  0.43
2007 Laub J, MacKe J, Müller KR, Wichmann FA. Inducing metric violations in human similarity judgements Advances in Neural Information Processing Systems. 777-784.  0.587
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