no code implementations • 13 Feb 2019 • Andrea Alamia, Victor Gauducheau, Dimitri Paisios, Rufin VanRullen
Our results show that both architectures can 'learn' (via error back-propagation) the grammars after the same number of training sequences as humans do, but recurrent networks perform closer to humans than feedforward ones, irrespective of the grammar complexity level.
Neurons and Cognition Human-Computer Interaction
