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"text": "Unsupervised learning of a steerable basis for invariant image representations",
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"text": "Inducing Metric Violations in Human Similarity Judgements",
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"text": "Receptive Fields without Spike-Triggering",
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"text": "Bayesian Inference for Spiking Neuron Models with a Sparsity Prior",
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"text": "Bayesian estimation of orientation preference maps",
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"text": "How biased are maximum entropy models?",
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"text": "Empirical models of spiking in neural populations",
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"text": "Spectral learning of linear dynamics from generalised-linear observations with application to neural population data",
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"text": "Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes",
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"text": "Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys",
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"text": "Generating Spike Trains with Specified Correlation Coefficients",
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"text": "Bayesian population decoding of spiking neurons",
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"text": "Bayesian inference for generalized linear models for spiking neurons",
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"text": "Estimating predictive stimulus features from psychophysical data: The decision image technique applied to human faces",
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"text": "Modeling population spike trains with specified time-varying spike rates, trial-to-trial variability, and pairwise signal and noise correlations",
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"text": "Gaussian process methods for estimating cortical maps",
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"text": "Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity",
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"text": "Learning stable, regularised latent models of neural population dynamics",
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"text": "Low Error Discrimination using a Correlated Population Code",
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"text": "Inferring decoding strategies from choice probabilities in the presence of correlated variability",
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"text": "Estimation bias in maximum entropy models",
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"text": "Temporal Jitter of the BOLD Signal Reveals a Reliable Initial Dip and Improved Spatial Resolution",
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"text": "Inferring neural population dynamics from multiple partial recordings of the same neural circuit",
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"text": "Low-dimensional models of neural population activity in sensory cortical circuits",
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"text": "A Bayesian model for identifying hierarchically organised states in neural population activity",
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"text": "Quantifying the effect of intertrial dependence on perceptual decisions",
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"text": "Crowdsourced analysis of clinical trial data to predict amyotrophic lateral sclerosis progression",
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"text": "Unlocking neural population non-stationarities using hierarchical dynamics models",
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"text": "Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data",
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"text": "Signatures of criticality arise from random subsampling in simple population models",
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"text": "Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations",
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"text": "Flexible statistical inference for mechanistic models of neural dynamics",
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"text": "Fast amortized inference of neural activity from calcium imaging data with variational autoencoders",
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"text": "Can serial dependencies in choices and neural activity explain choice probabilities?",
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"text": "Accuracy of Rats in Discriminating Visual Objects Is Explained by the Complexity of Their Perceptual Strategy",
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