TY - UNPB ID - cogprints3271 UR - http://cogprints.org/3271/ A1 - van der Velde, dr. Frank A1 - de Kamps, dr. Marc TI - A neural blackboard architecture of sentence structure Y1 - 2003/06// N2 - We present a neural architecture for sentence representation. Sentences are represented in terms of word representations as constituents. A word representation consists of a neural assembly distributed over the brain. Sentence representation does not result from associations between neural word assemblies. Instead, word assemblies are embedded in a neural architecture, in which the structural (thematic) relations between words can be represented. Arbitrary thematic relations between arguments and verbs can be represented. Arguments can consist of nouns and phrases, as in sentences with relative clauses. A number of sentences can be stored simultaneously in this architecture. We simulate how probe questions about thematic relations can be answered. We discuss how differences in sentence complexity, such as the difference between subject-extracted versus object-extracted relative clauses and the difference between right-branching versus center-embedded structures, can be related to the underlying neural dynamics of the model. Finally, we illustrate how memory capacity for sentence representation can be related to the nature of reverberating neural activity, which is used to store information temporarily in this architecture. AV - public KW - Neural sentence structure KW - neural assemblies KW - neural dynamics KW - compositional representation ER -