A mechanistic theory of planning in prefrontal cortex

A spacetime attractor model reveals how prefrontal cortex circuits implement planning by integrating environment structure and neural dynamics.

• Why it matters: Understanding the neural basis of planning is essential for deciphering adaptive behavior, yet how prefrontal cortex circuits achieve this remains unclear.
• What they did: The study combines neural representations of future time points with attractor dynamics in recurrent networks, embedding environment structure directly into synaptic connections, and training networks on complex tasks.
• The result: The spacetime attractor accurately models planning behavior, enabling rapid reconfiguration of world models without synaptic plasticity, advancing mechanistic insights into prefrontal cortex function.