- How I learned to stop worrying and love the Free Energy Principle
Jacob Yates — Aug 19, 2025
A gentle introduction to the Free Energy Principle and KL minimization. - Perception as Inference
Hadi Vafaii — June 29, 2025
An intuitive, from‑scratch introduction to perception as Bayesian inference. - World Models, Adaptation, and Surprise (Part 1)
Hadi Vafaii — January 13, 2025
Conceptual and mathematical foundations for how brains adapt to statistics. - The Perennial Quest for Understanding
Hadi Vafaii — December 4, 2024
A welcome note outlining themes on brain, evolution, intelligence, and physics. - Reconciling Generative and Feedforward Models of Visual Cortex
Jacob Yates — Oct 3, 2024
Argues that feedforward models are inference over a generative model. - Data Quality Issues pervasive in systems neuroscience
Jacob Yates — Jan 14, 2024
Notes pervasive data issues in systems neuroscience, especially electrode drift. - A Fast(er) interface for Arduino from Matlab
Jacob Yates — May 10, 2021
Faster Matlab–Arduino communication via serial buffering and IOPort. - Motion Illusions
Jacob Yates — Dec 6, 2020
Reflections on motion illusions and what they reveal about perception. - Generalization in data-driven models of primary visual cortex
Jacob Yates — Dec 4, 2020
Discusses Lurz et al. (2020) and training deep stimulus models for V1.