V1-RL: Modeling Motivation in the Murine Cortex

We’re mapping how motivation drives high-performance brain states—not as a constant push, but as a precise, nonlinear amplifier. By analyzing 50,000 neurons in the mouse visual cortex, we found that motivation boosts neural gain, gates plasticity, and suppresses noise. Embedding these principles into a “Digital Twin” agent revealed that peak performance emerges from short, targeted bursts of motivation, mimicking phasic dopamine dynamics. Looking forward, this framework could scale to humans via non-invasive proxies, laying the groundwork for a “Digital Student” environment—an in silico testbed to simulate learning, attention, and fatigue dynamics across diverse profiles. Beyond neuroscience, it provides a physics-informed, algorithmically optimal blueprint for designing goal-directed systems in both education and AI.