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Topic: slow invariant manifolds

ePoster
1 ePoster

In Applied Mathematics and Artificial Intelligence

ePoster · Computational Neuroscience

Slow Manifold Dynamics for Working Memory are near Continuous Attractors

Ábel Ságodi, Guillermo Martin, Piotr Sokół, Il Park · Bernstein Conference 2024

Continuous attractors offer a unique class of solutions for storing continuous-valued variables in recurrent system states for arbitrarily long time intervals. Unfortunately, because continuous attractors are not structurally stable, they suffer from severe structural instability in general---they are destroyed by most infinitesimal changes of the dynamical law that defines them. This fragility limits their utility especially in biological systems as their recurrent dynamics are subject to constant perturbations. We observe that bifurcations from and approximations of continuous attractors i