In threshold linear networks, chaos manifests as solutions that do not settle into nice periodic behavior or equilibria. Instead, the system produces solutions that are not random but are unpredictable.
Conditions: Applies to threshold linear networks from neuroscience applications
In threshold linear networks, chaos manifests as solutions that do not settle into nice periodic behavior or equilibria. Instead, the system produces solutions that are not random but are unpredictable.
Conditions: Applies to threshold linear networks from neuroscience applications
Chaos is a natural occurrence observable in many different systems. It is characterized by solutions that are not random but are unpredictable, failing to settle into nice periodic behavior or equilibria.
Chaos is a natural occurrence observable in many different systems. It is characterized by solutions that are not random but are unpredictable, failing to settle into nice periodic behavior or equilibria.