Human perception has recently been characterized as statistical inference based on noisy
and ambiguous sensory inputs. Moreover, suitable neural representations of uncertainty …

Recent experimental studies have focused on the specialization of different neural structures
for different types of instrumental behavior. Recent theoretical work has provided normative …

The feedforward dentate gyrus-CA3 microcircuit in the hippocampus is thought to activate
ensembles of CA3 pyramidal cells and interneurons to encode and retrieve episodic …

Serotonin has widespread, but computationally obscure, modulatory effects on learning and
cognition. Here, we studied the impact of optogenetic stimulation of dorsal raphe serotonin …

This paper shows that the various computations underlying spatial cognition can be
implemented using statistical inference in a single probabilistic model. Inference is …

This paper presents a review of Bayesian models of brain and behaviour. We first review the
basic principles of Bayesian inference. This is followed by descriptions of sampling and …

Hierarchical generative models, such as Bayesian networks, and belief propagation have
been shown to provide a theoretical framework that can account for perceptual processes …

A venerable history of classical work on autoassociative memory has significantly shaped
our understanding of several features of the hippocampus, and most prominently of its CA3 …

Despite technology advances that have enabled routine acquisition of functional MRI data
with sub-millimeter resolution, the inferences that cognitive neuroscientists must make to link …

We study the collective dynamics of a Leaky Integrate and Fire network in which precise
relative phase relationship of spikes among neurons are stored, as attractors of the …