Publications
Peer-reviewed articles
Contextual inference in learning and memory
Trends in Cognitive Sciences, 2022
Planning in the brain
Neuron, 2022
Adaptive erasure of spurious sequences in sensory cortical circuits
Neuron, 2022
Representations of uncertainty: where art thou?
Current Opinion in Behavioral Sciences, 2021
Contextual inference underlies the learning of sensorimotor repertoires
Nature, 2021
A universal probabilistic spike count model reveals ongoing modulations of neural variability
NeurIPS, 2021
Cortical-like dynamics in recurrent circuits optimized for sampling-based probabilistic inference
Nature Neuroscience, 2020
Unimodal statistical learning produces multimodal object-like representations
eLife, 2019
Representational untangling by the firing rate nonlinearity in V1 simple cells
eLife, 2019
Editorial overview: Computational neuroscience
Current Opinion in Neurobiology, 2019
Global and multiplexed dendritic computations under in vivo-like conditions.
Neuron, 2018
The redemption of noise: inference with neural populations
Trends in Neurosciences, 2018
The dynamical regime of sensory cortex: stable dynamics around a single stimulus-tuned attractor account for patterns of noise variability
Neuron, 2018
Exact natural gradient in deep linear networks and application to the nonlinear case
NeurIPS, 2018
With or without you: predictive coding and Bayesian inference in the brain
Current Opinion in Neurobiology, 2017
Goal-directed decision making with spiking neurons
Journal of Neuroscience, 2016
Statistical treatment of looking-time data
Developmental Psychology, 2016
Active sensing in the categorization of visual patterns
eLife, 2016
Theoretical perspectives on active sensing
Current Opinion in Behavioural Sciences, 2016
Neural variability and sampling-based probabilistic representations in the visual cortex
Neuron, 2016
The Hamiltonian brain: efficient probabilistic inference with excitatory-inhibitory neural circuit dynamics
PLoS Computational Biology, 2016
Efficient state-space modularization for planning: theory, behavioral and neural signatures
NIPS, 2016
Dendritic nonlinearities are tuned for efficient spike-based computations in cortical circuits
eLife, 2015
Optimal recall from bounded metaplastic synapses: predicting functional adaptations in hippocampal area CA3
PLoS Computational Biology, 2014
A dual algorithm for olfactory computation in the locust brain
NIPS, 2014
Analog memories in a balanced rate-based network of E/I neurons
NIPS (oral), 2014
Fast sampling-based inference in balanced neuronal networks
NIPS, 2014
Cognitive tomography reveals complex, task-independent mental representations
Current Biology, 2013
Correlations strike back (again): the case of associative memory retrieval
NIPS, 2013
Remme MWH, Lengyel M, Gutkin BS
In: Phase response curves in neuroscience: theory, experiment, and analysis (eds. NW Schultheis, AA Prinz, RJ Butera), Springer, 2012
Preprints
Sampling-based probabilistic inference emerges from learning in neural circuits with a cost on reliability
arXiv, 2018
Asymptotic scaling properties of the posterior mean and variance in the Gaussian scale mixture model
arXiv, 2017
Characterizing variability in nonlinear recurrent neuronal networks
arXiv, 2016
On the role of time in perceptual decision making
arXiv, 2015
The Hamiltonian brain
arXiv, 2014
How (not) to assess the importance of correlations for the matching of spontaneous and evoked activity
arXiv, 2013