Attractor networks are a popular computational construct used to model different brain
systems. These networks allow elegant computations that are thought to represent a number …

Flexible behaviors over long timescales are thought to engage recurrent neural networks in
deep brain regions, which are experimentally challenging to study. In insects, recurrent …

The medial temporal lobe (MTL) is believed to support episodic memory, vivid recollection of
a specific event situated in a particular place at a particular time. There is ample …

To afford flexible behaviour, the brain must build internal representations that mirror the
structure of variables in the external world. For example, 2D space obeys rules: the same set …

Episodic memory requires encoding the temporal structure of experience and relies on brain
circuits in the medial temporal lobe, including the medial entorhinal cortex (MEC). Recent …

Time perception is critical in our daily life. An important feature of time perception is temporal
scaling (TS): the ability to generate temporal sequences (eg, motor actions) at different …

Despite their small size, insect brains are able to produce robust and efficient navigation in
complex environments. Specifically in social insects, such as ants and bees, these …

Equivariant representation is necessary for the brain and artificial perceptual systems to
faithfully represent the stimulus under some (Lie) group transformations. However, it remains …

The spatial responses of many of the cells recorded in layer II of rodent medial entorhinal
cortex (MEC) show a triangular grid pattern, which appears to provide an accurate …

Bayesian filters have been considered to help refine and develop theoretical views on
spatial cell functions for self-localization. However, extending a Bayesian filter to reproduce …