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 ...

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...

Multiple people have taken credit for the historic drop that mirrors a national decrease in violent crimes. Baltimore Mayor Brandon Scott says it’s due to a community-based approach to gun violence.

Cyclic shifts in estradiol levels coincide with changes in dendritic spine density and the activity of place cells in the CA1 region of the hippocampus, a new study shows.

Cyclic shifts in estradiol levels coincide with changes in dendritic spine density and the activity of place cells in the CA1 region of the hippocampus, a new study shows.

Many University websites, including those affiliated with admissions, academic departments, and diversity, equity, and inclusion (DEI) initiatives, have been updated to reflect Princeton’s ongoing com...

The pursuit of fleeing prey is a core element of many species behavioral repertoires. It poses the difficult problem of continuous tracking of multiple agents, including both self and others. To under...

Understanding how information is represented in neural networks is a fundamental challenge in both neuroscience and artificial intelligence. Despite their nonlinear architectures, recent evidence sugg...