Ivilin Peev Stoianov

National Research Council, Institute of Cognitive Sciences and Technologies

Papers

Total Citations

H-Index

About

Ivilin Peev Stoianov is a leading researcher in computational neuroscience, with a primary focus on motor control, active inference, and hierarchical planning in the brain. His work bridges cognitive science and artificial intelligence, offering novel frameworks for understanding how biological organisms select and execute actions. Stoianov’s most cited paper, “Modeling Motor Control in Continuous Time Active Inference: A Survey” (2023, 14 citations), provides a comprehensive review of how active inference—a paradigm centered on minimizing prediction errors—can explain action selection beyond traditional optimal control theories. He further advances this field with “Dynamic planning in hierarchical active inference” (2025, 8 citations), where he explores how the brain infers and imposes motor trajectories for cognitive decisions, integrating hierarchical structures to model complex behavior. His contributions are notable for challenging stimulus-response models and emphasizing ideomotor and cybernetic principles, offering a more holistic view of motor cognition. With a growing citation impact, Stoianov’s work is essential reading for students and researchers interested in the neural underpinnings of action, decision-making, and the future of brain-inspired AI.