Exact Inferences in a Neural Implementation of a Hidden Markov Model. - Jeffrey M. Beck; Alexandre Pouget (Neural Comput., 2007)

On the Maximization of Information Flow Between Spiking Neurons. - Lucas C. Parra; Jeffrey M. Beck; Anthony J. Bell (Neural Comput., 2009)

Insights from a Simple Expression for Linear Fisher Information in a Recurrently Connected Population of Spiking Neurons. - Jeffrey M. Beck; Vikranth R. Bejjanki; Alexandre Pouget (Neural Comput., 2011)

Complex Inference in Neural Circuits with Probabilistic Population Codes and Topic Models. - Jeffrey M. Beck; Katherine A. Heller; Alexandre Pouget (NIPS, 2012)

Modelling Reciprocating Relationships with Hawkes Processes. - Charles Blundell; Katherine A. Heller; Jeffrey M. Beck (NIPS, 2012)

Demixing odors - fast inference in olfaction. - Agnieszka Grabska-Barwinska; Jeffrey M. Beck; Alexandre Pouget; Peter E. Latham (NIPS, 2013)

Fast Second Order Stochastic Backpropagation for Variational Inference. - Kai Fan 002; Ziteng Wang; Jeffrey M. Beck; James T. Kwok; Katherine A. Heller (NIPS, 2015)

Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration. - Hanna Oh-Descher; Jeffrey M. Beck; Silvia Ferrari; Marc A. Sommer; Tobias Egner (NeuroImage, 2017)

Neuron's eye view: Inferring features of complex stimuli from neural responses. - Xin Chen; Jeffrey M. Beck; John M. Pearson (PLoS Comput. Biol., 2017)

A confirmation bias in perceptual decision-making due to hierarchical approximate inference. - Richard D. Lange; Ankani Chattoraj; Jeffrey M. Beck; Jacob L. Yates; Ralf M. Haefner (PLoS Comput. Biol., 2021)

How does the brain compute with probabilities? - Ralf M. Haefner; Jeffrey M. Beck; Cristina Savin; Mehrdad Salmasi; Xaq Pitkow (CoRR, 2024)