Jakob H. Macke, PhD - Publications

Affiliations: 
Gatsby Computational Neuroscience Unit University College London, London, United Kingdom 
Area:
Computation and Theory, Vision
Website:
http://www.kyb.mpg.de/~jakob

35 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
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  0.96
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  0.96
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  0.96
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  0.96
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  1
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  0.96
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.  1
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  0.96
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.  0.96
2014 Putzky P, Franzen F, Bassetto G, Macke JH. A Bayesian model for identifying hierarchically organised states in neural population activity Advances in Neural Information Processing Systems. 4: 3095-3103.  0.96
2013 Watanabe M, Bartels A, Macke JH, Murayama Y, Logothetis NK. Temporal jitter of the BOLD signal reveals a reliable initial dip and improved spatial resolution. Current Biology : Cb. 23: 2146-50. PMID 24139737 DOI: 10.1016/j.cub.2013.08.057  0.96
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  0.96
2013 Macke JH, Murray I, Latham PE. Estimation bias in maximum entropy models Entropy. 15: 3109-3129. DOI: 10.3390/e15083209  0.96
2013 Turaga SC, Buesing L, Packer AM, Dalgleish H, Pettit N, Häuser M, Macke JH. Inferring neural population dynamics from multiple partial recordings of the same neural circuit Advances in Neural Information Processing Systems 0.96
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  0.96
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  0.96
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.  1
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  0.96
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  1
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  0.96
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  1
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 1
2011 MacKe JH, Murray I, Latham PE. How biased are maximum entropy models? Advances in Neural Information Processing Systems 24: 25th Annual Conference On Neural Information Processing Systems 2011, Nips 2011 1
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  0.96
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  1
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  0.96
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  0.96
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  0.96
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.  0.96
2009 MacKe JH, Zeck G, Bethge M. Receptive fields without spike-triggering Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference 0.96
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 0.96
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  0.96
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  0.96
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  0.96
2007 Laub J, MacKe J, Müller KR, Wichmann FA. Inducing metric violations in human similarity judgements Advances in Neural Information Processing Systems. 777-784.  0.96
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