Pre-registration
A new dimension to access content of this website

Where an inference law lives
Artificial and animal learners compared on one conditioning instrument against one ideal observer. A meta-trained transformer acquires a cue-reward contingency in context with timescale invariance; eight pre-registered runs on a surprise-gated write channel all stopped at a gate, and the last gave an exploratory reason why.

Eight hashed runs on the write channel, and what a gate outcome closes
A week of pre-registered tests asking whether a surprise-gated write channel adds anything an in-context prior lacks. Every prediction file was hashed before scoring; every gate stayed where it was; the predictions were never scored, eight times, and the eighth run explained the other seven.

The surprise gate is a biased sampler
A write channel gated on prediction error never opened where the meta-trained prior was good. Moved to streams where the prior is wrong, it wrote, but only chance-short waits, the same on signal and control: half the store filled before the change point, and the stored value sat at 1.26 log units against a true 1.91. The exploratory diagnostic that closed the error-surprise gate as an operationalisation and named its replacement.