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Connectionism

Known as: Connectionist revolution, Parallel Distributed Processing, Relational network 
Connectionism is a set of approaches in the fields of artificial intelligence, cognitive psychology, cognitive science, neuroscience, and philosophy… 
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Papers overview

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Highly Cited
2013
Highly Cited
2013
Recurrent neural networks (RNNs) are a powerful model for sequential data. End-to-end training methods such as Connectionist… 
Highly Cited
2010
Highly Cited
2010
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… 
Review
2008
Review
2008
schema. For a general summary, there are normative descriptions of stages of L2 proficiency that were drawn up in as atheoretical… 
Highly Cited
2006
Highly Cited
2006
Many real-world sequence learning tasks require the prediction of sequences of labels from noisy, unsegmented input data. In… 
Highly Cited
2005
Highly Cited
2005
Highly Cited
2004
Highly Cited
2004
This article presents a general class of associative reinforcement learning algorithms for connectionist networks containing… 
Review
1998
Review
1998
This review summarizes a range of theoretical approaches to language acquisition. It argues that language representations emerge… 
Highly Cited
1998
Highly Cited
1998
Contents: Preface. J.R. Anderson, C. Lebiere, Introduction. J.R. Anderson, C. Lebiere, Knowledge Representation. J.R. Anderson, C… 
Review
1996
Review
1996
Part 1 Introduction: matter and method space and semantic potential negative evidence and language learning the modelling… 
Highly Cited
1990
Highly Cited
1990
  • J. Elman
  • Cognitive Sciences
  • 1990
  • Corpus ID: 2763403
Time underlies many interesting human behaviors. Thus, the question of how to represent time in connectionist models is very…