Topic: Boltzmann machine

Neural circuits display both input-driven activity that is necessary for the real-time control of behavior and internally generated activity that is necessary for memory, planning, and other cognitive processes. A key mediator between these intrinsic and evoked dynamics is arousal, an internal state variable that determines an animal's level of engagement with its environment. In this work, we show that a continuous Hopfield network embellished with a single additional parameter---recurrent gain---captures some essential effects of arousal state at neural and cognitive levels. Using the model