State space models are mathematical frameworks used to describe the behavior of dynamic systems through state variables that capture the system's status at any given time. These models provide a way to analyze and predict how systems evolve over time, which is crucial in understanding processes like working memory and persistent activity in neural circuits. By representing the internal states and transitions between them, state space models help us grasp how information is maintained and manipulated within the brain.
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