Saurabh Bedi
@saurabhbedi.bsky.social
PhD student in Neuroeconomics, University of Zurich | https://saurabh9729.github.io/saurabhbedi/
The mechanism is cognitive boundary repulsion: during inference, the posterior is pushed away from boundaries, generating distortions and variance patterns.
This arises independently under both efficient encoding and Bayesian decoding of bounded quantities like probabilities.
This arises independently under both efficient encoding and Bayesian decoding of bounded quantities like probabilities.
September 16, 2025 at 9:14 AM
The mechanism is cognitive boundary repulsion: during inference, the posterior is pushed away from boundaries, generating distortions and variance patterns.
This arises independently under both efficient encoding and Bayesian decoding of bounded quantities like probabilities.
This arises independently under both efficient encoding and Bayesian decoding of bounded quantities like probabilities.