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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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Related topics

Related topics

48 relations
ACT-RAI winterAction potentialAnalogical modeling

Broader (2)

Cognitive scienceComputational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Towards End-To-End Speech Recognition with Recurrent Neural Networks
This paper presents a speech recognition system that directly transcribes audio data with text, without requiring an intermediate… 
Highly Cited
2013
Highly Cited
2013
Speech recognition with deep recurrent neural networks
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
Recurrent neural network based language model
A new recurrent neural network based language model (RNN LM) with applications to speech recognition is presented. Results… 
Review
2008
Review
2008
Constructions, Chunking, and Connectionism: The Emergence of Second Language Structure
schema. For a general summary, there are normative descriptions of stages of L2 proficiency that were drawn up in as atheoretical… 
Highly Cited
2005
Highly Cited
2005
Introduction to real-time ray tracing
Whenever you start a renderer, you need a way to see an image. The most straightforward way is to write it to a file. The catch… 
Highly Cited
1998
Highly Cited
1998
The Atomic Components of Thought
Contents: Preface. J.R. Anderson, C. Lebiere, Introduction. J.R. Anderson, C. Lebiere, Knowledge Representation. J.R. Anderson, C… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Review
1995
Review
1995
Attention and Memory: An Integrated Framework
This book brings together and assesses past and present research on information processing, and formulates a new general model of… 
Highly Cited
1988
Highly Cited
1988
Genetic algorithms and Machine Learning
There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined… 
Highly Cited
1986
Highly Cited
1986
Norm theory: Comparing reality to its alternatives
A theory of norms and normality is presented and applied to some phenomena of emotional responses, social judgment, and… 
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