Working memory and time
Combine leak, recurrence, adaptation and delay without freezing into a permanent attractor.
Sensory publishes mechanisms, test models, expected behavior and known limitations alongside results for reproducible technical discussion.
Each direction connects an implemented mechanism to an open research question.
Combine leak, recurrence, adaptation and delay without freezing into a permanent attractor.
Test whether focus releases reliably and shifts to a relevant workspace competitor.
Separate stateful feature computation from a shallow supervised readout.
Learn which multiplicative contextual features to create instead of designing them by hand.
Numerical results belong on the public website only with the exact model, dataset, seed, command and commit.
Limit runaway recurrence so a working trace can fade.
Preserve more distributed input weights than plain Hebbian concentration.
Composition does not need to share hidden memory.
Currently works more reliably than deep CHL without weight symmetry.
General deep credit assignment is unresolved, long-lived state can erode, gating remains mostly hand-designed and small experiments are not evidence of general intelligence or consciousness.