The study investigates the neural circuit dynamics in the posterior parietal cortex (PPC) during a virtual-navigation decision task in mice. Using two-photon microscopy, researchers optically imaged neuronal populations in the PPC and observed transient, staggered activation of individual neurons, forming choice-specific sequences of neuronal activation. These sequences were distinct for trials with opposite behavioral choices and defined divergent trajectories through a state space of neuronal population activity. The neurons participating in these sequences were anatomically intermixed over microcircuit length scales, suggesting that the PPC may perform computations through sequence-based circuit dynamics rather than long-lived stable states. The findings highlight the importance of sequence-based dynamics in memory and decision tasks, potentially implemented using feedforward architectures or liquid state machines.The study investigates the neural circuit dynamics in the posterior parietal cortex (PPC) during a virtual-navigation decision task in mice. Using two-photon microscopy, researchers optically imaged neuronal populations in the PPC and observed transient, staggered activation of individual neurons, forming choice-specific sequences of neuronal activation. These sequences were distinct for trials with opposite behavioral choices and defined divergent trajectories through a state space of neuronal population activity. The neurons participating in these sequences were anatomically intermixed over microcircuit length scales, suggesting that the PPC may perform computations through sequence-based circuit dynamics rather than long-lived stable states. The findings highlight the importance of sequence-based dynamics in memory and decision tasks, potentially implemented using feedforward architectures or liquid state machines.