
Publications of JH Macke
All genres
Journal Article (22)
1.
Journal Article
13 (10), pp. 1 - 23 (2017)
Signatures of criticality arise from random subsampling in simple population models. PLoS Computational Biology 2.
Journal Article
122, pp. 105 - 123 (2016)
Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research 3.
Journal Article
19 (3), pp. 162 - 172 (2015)
Neural population coding: combining insights from microscopic and mass signals. Trends in Cognitive Sciences 4.
Journal Article
33 (1), pp. 51 - 57 (2015)
Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression. Nature Biotechnology 5.
Journal Article
submitted (2015)
Hierarchical models for neural population dynamics in the presence of non-stationarity. - 6.
Journal Article
14 (7:9), pp. 1 - 16 (2014)
Quantifying the effect of intertrial dependence on perceptual decisions. Journal of Vision 7.
Journal Article
23 (21), pp. 2146 - 2150 (2013)
Temporal Jitter of the BOLD Signal Reveals a Reliable Initial Dip and Improved Spatial Resolution. Current Biology 8.
Journal Article
15 (8), pp. 3109 - 3219 (2013)
Estimation bias in maximum entropy models. Entropy 9.
Journal Article
16 (2), pp. 235 - 242 (2013)
Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience 10.
Journal Article
108 (4), pp. 1069 - 1088 (2012)
Low Error Discrimination using a Correlated Population Code. Journal of Neurophysiology 11.
Journal Article
23 (1-2), pp. 24 - 47 (2012)
Learning stable, regularised latent models of neural population dynamics. Network 12.
Journal Article
5, 35, pp. 1 - 2 (2011)
Statistical analysis of multi-cell recordings: linking population coding models to experimental data. Frontiers in Computational Neuroscience 13.
Journal Article
56 (2), pp. 570 - 581 (2011)
Gaussian process methods for estimating cortical maps. NeuroImage 14.
Journal Article
106 (20), 208102, pp. 1 - 4 (2011)
Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity. Physical Review Letters 15.
Journal Article
5 (1), pp. 1 - 16 (2011)
Reconstructing stimuli from the spike-times of leaky integrate and fire neurons. Frontiers in Neuroscience 16.
Journal Article
4, 144, pp. 1 - 11 (2010)
Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations. Frontiers in Computational Neuroscience 17.
Journal Article
10 (5), 22, pp. 1 - 24 (2010)
Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces. Journal of Vision 18.
Journal Article
4, 12, pp. 1 - 17 (2010)
Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience 19.
Journal Article
3, 21, pp. 1 - 28 (2009)
Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience 20.
Journal Article
21 (2), pp. 397 - 423 (2009)
Generating Spike Trains with Specified Correlation Coefficients. Neural computation