Intrinsic properties ensure reliable attractor dynamics in learned neural assemblies embedded within noisy, asynchronous networks
Matthieu Sarazin, Jeanne Barthélémy, David Medernach, Jérémie Naudé, Bruno Delord
The paper shows that intrinsic properties enhance attractor reliability in noisy neural networks through biophysical mechanisms, improving controllability, stability, and independence of attractor dynamics.
bioRxiv · Jul 26, 2022 · PreprintNeuroscience