Lifetime and stability in line attractor networks of short-term memory

Pedro Goncalves (1) , Christian Machens (1)

1 Group for Neural Theory [Paris]

Line attractor networks have long served as the standard model of short-term memory systems for analogue variables. In this study, we investigate the stability of attractor states for a line attractor with monotonic tuning curves. We furthermore quantify the stability of network states against noise and show how the lifetime of short-term memory states depends on the level of neural noise.

Mots clés: Neuronal models; Cognitive Science

Domaines: Neurosciences [q-bio.NC]; Neurosciences

Pedro Goncalves, Christian Machens. Lifetime and stability in line attractor networks of short-term memory. Deuxième conférence française de Neurosciences Computationnelles, "Neurocomp08", Oct 2008, Marseille, France. ⟨hal-00331609⟩