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Elman, J. L. (1991) Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195--224.

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Batali, Innate biases and critical periods: Combining evolution and learning in the acquisition of syntax, 1994 :: 43
Christiansen,Chater, Toward a connectionist model of recursion in human linguistic performance, 1999 :: 13
Christiansen,Devlin, Recursive inconsistencies are hard to learn: A connectionist perspective on universal word order correlations, 1997 :: 15
Christiansen, Infinite Languages, Finite Minds: Connectionism, Learning and Linguistic Structure, 1994 :: 22
Conway,Christiansen, Sequential learning in non-human primates, 2001 :: 6
Elman, Learning and development in neural networks: The importance of starting small, 1993 :: 30
Elman, Language as a dynamical system, 1995 :: 4
Lyon,Nehaniv,Dickerson, Entropy Indicators for Investigating Early Language Processes, 2005 ::
Miikkulainen,Mayberry, Disambiguation and Grammar as Emergent Soft Constraints, 1999 ::
Steels, The emergence and evolution of linguistic structure: from lexical to grammatical communication systems, 2005 :: 7
Steels, Semiotic Dynamics for Embodied Agents, 2006 :: 1
Tonkes,Blair,Wiles, A paradox of neural encoders and decoders, or, why don't we talk backwards?, 1998 :: 3
Tonkes,Wiles, Methodological Issues in Simulating the Emergence of Language, 2002 :: 7
Tonkes, Getting the Point Across: The Effect of Recurrent Network Biases on the Evolution of a Simple Language, 1998 ::
Tonkes, On the Origins of Linguistic Structure: Computational models of the evolution of language, 2001 :: 5
Velde, Modelling language development and evolution with the benefit of hindsight, 2005 ::
Zuidema, Evolution of syntax in groups of agents, 2000 :: 4
Zuidema, The Major Transitions in the Evolution of Language, 2005 :: 1

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