AI-Driven Neural Surrogates for In Silico Design of Cognitive-Affective Neuromodulation Targets

arXiv:2609.27729 · q-bio.NC, cs.AI, cs.SY, eess.SY · Submitted 2026-09-23 · Read on arXiv

q-bio.NC, cs.AI, cs.SY, eess.SY

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Fidelity — 41× in this paper · explained in 2 episodes
• Steering — 33× in this paper · explained in 2 episodes
• Latent Representation — 14× in this paper · explained in 2 episodes
• Latent Space — 14× in this paper · explained in 7 episodes
• Latent Representations — 10× in this paper · explained in 3 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Alignment — 7× in this paper · explained in 1 episode
• Embeddings — 6× in this paper · explained in 2 episodes
• Natural Scenes Dataset — 6× in this paper
• Diffusion Model — 5× in this paper · explained in 8 episodes
• Neural Surrogates — 4× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 4 episodes
• Robustness — 3× in this paper · explained in 5 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Decode — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adversarial Model — 1× in this paper · explained in 1 episode
• Alignment Problem — 1× in this paper · explained in 1 episode
• Artificial Intelligence (AI) — 1× in this paper · explained in 2 episodes
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Modeling — 1× in this paper · explained in 3 episodes
• Hallucination — 1× in this paper · explained in 4 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Local Optimization — 1× in this paper · explained in 2 episodes

Sources

• Controlling Memorability of Face Images
• Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images
• Getting aligned on representational alignment

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