İstihbarat Analizinde In-Silico Nörobilime Doğru: TRIBE v2 Modeliyle İstihbarat Nitelikli Medyada Stres ve İkna Tepkilerinin Öngörülmesi

We present the first application of Meta's TRIBE v2 brain encoding model to intelligence-grade and politically charged media stimuli. TRIBE v2 is a tri-modal foundation model trained on over 1,000 hours of fMRI recordings from 720 subjects, capable of predicting cortical brain activity in response to video, audio, and text without requiring physical brain scanning equipment. Using an in-silico neuroscience framework, we design two experiments to probe distinct neural response patterns across four real-world video stimuli representing different stress levels and communication strategies. In Experiment 1 (Intelligence Analyst Profile), we compare predicted brain responses to a highstress acoustic warfare stimulus (Lebanon attack footage, max: 0.48, mean: 0.020) against a lowstress diplomatic speech (John Kerry on Israel, max: 1.02, mean: 0.057). Results reveal that highstress content significantly suppresses prefrontal cortical activation, while analytically demanding diplomatic content engages broader cortical networks with substantially higher activation intensity. In Experiment 2 (General Public Profile), we compare an official government communication (Pentagon briefing, max: 0.97, mean: 0.051) against emotionally manipulative political messaging (Netanyahu addressing Iranians, max: 0.86, mean: 0.049). Results show that official language activates wider auditory and language networks, whereas manipulative content concentrates activation in narrower emotional processing regions. Our findings demonstrate that distinct media types produce measurably different neural signatures, and that TRIBE v2 represents a powerful, scalable tool for intelligence community applications including analyst performance research, media threat assessment, and the neuroscientific study of propaganda. To our knowledge, this is among the first studies to apply a predictive brain encoding model to intelligence and national security media contexts.