Behaviour of human participants in a prey-pursuit task reflects dynamic blending of goal-specific control policies, with hippocampus estimating latent states, anterior cingulate cortex orchestrating p...

This study establishes the ghost mechanism as an underlying mechanism for abrupt learning, whereby the recurrent neural network develops ghost points---transient dynamical bottlenecks---and identifies...

Postdoc Fatih Dinc has been recognized by the the Society for Industrial and Applied Mathematics for his work developing a bridge between mathematics and neuroscience.

The hippocampus exhibits a CA3-to-CA1 coding transformation that combines fast learning with an efficient, compressed neural code.

Associative memory models such as the Hopfield network and its dense generalizations with higher-order interactions exhibit a ``blackout catastrophe''---a discontinuous transition where stable memory ...

Olfactory navigation is a well-studied topic in insect behaviour, but many aspects of the challenging task of odour plume tracking are unknown. In a deep reinforcement learning approach, artificial ag...

Alexander et al. examine rats pursuing visual targets and characterize emergent predictive behaviors. Relative to free exploration, pursuit elicits enhanced coding of self-motion in the parietal corte...

Yoo and colleagues find that while pursuing virtual prey, monkeys predict the prey’s upcoming movements, and neurons in the dorsal anterior cingulate cortex tracked prey position, velocity and acceler...

We explored how to measure the similarity between two complex systems when they are driven by external inputs, like biological neural circuits or reinforcement learning agents. Our novel method, calle...

We explored how to measure the similarity between two complex systems when they are driven by external inputs, like biological neural circuits or reinforcement learning agents. Our novel method, calle...