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All publications by Jakob H. Macke
authors venues years



Unlocking neural population non-stationarities using hierarchical dynamics models
Mijung Park, Gergo Bohner and Jakob H. Macke
Advances in Neural Information Processing Systems 28, 2015


A Bayesian model for identifying hierarchically organised states in neural population activity
Patrick Putzky, Florian Franzen, Giacomo Bassetto and Jakob H. Macke
Advances in Neural Information Processing Systems 27, 2014


Low-dimensional models of neural population activity in sensory cortical circuits
Evan W. Archer, Urs Koster, Jonathan W. Pillow and Jakob H. Macke
Advances in Neural Information Processing Systems 27, 2014


Spectral learning of linear dynamics from generalised-linear observations with application to neural population data
Lars Buesing, Maneesh Sahani and Jakob H. Macke
Advances in Neural Information Processing Systems 25, 2012


How biased are maximum entropy models?
Jakob H. Macke, Iain Murray and Peter E. Latham
Advances in Neural Information Processing Systems 24, 2011


Empirical models of spiking in neural populations
Jakob H. Macke, Lars Buesing, John P. Cunningham, Byron M. Yu, Krishna V. Shenoy and Maneesh Sahani
Advances in Neural Information Processing Systems 24, 2011


Bayesian estimation of orientation preference maps
Sebastian Gerwinn, Leonard White, Matthias Kaschube, Matthias Bethge and Jakob H. Macke
Advances in Neural Information Processing Systems 22, 2009


Bayesian Inference for Spiking Neuron Models with a Sparsity Prior
Sebastian Gerwinn, Matthias Bethge, Jakob H. Macke and Matthias Seeger
Advances in Neural Information Processing Systems 20, 2007


Receptive Fields without Spike-Triggering
Guenther Zeck, Matthias Bethge and Jakob H. Macke
Advances in Neural Information Processing Systems 20, 2007


Inducing Metric Violations in Human Similarity Judgements
Julian Laub, Klaus-robert Müller, Felix A. Wichmann and Jakob H. Macke
Advances in Neural Information Processing Systems 19, 2006