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The importance of situation-specific encodings: analysis of a simple connectionist model of letter transposition effects

Connection science, 2018-04, Vol.30 (2), p.135-159

2018

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Getting symbols out of a neural architecture

Connection science, 2011-06, Vol.23 (2), p.109-118

Hummel, John E.

2011

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Compositional connectionist structures based on in situ grounded representations

Connection science, 2011-06, Vol.23 (2), p.97-107

2011

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An emergent approach to analogical inference

Connection science, 2013-03, Vol.25 (1), p.27-53

2013

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A PDP model of the simultaneous perception of multiple objects

Connection science, 2011-06, Vol.23 (2), p.161-172

2011

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Local or distributed activation? The view from biology

Connection science, 2011-06, Vol.23 (2), p.155-160

Reimers, Mark

2011

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Catastrophic Forgetting, Rehearsal and Pseudorehearsal

Connection science, 1995-06, Vol.7 (2), p.123-146

ROBINS, ANTHONY

1995

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A Recurrent Neural Network that Learns to Count

Connection science, 1999-03, Vol.11 (1), p.5-40

1999

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Learn more by training less: systematicity in sentence processing by recurrent networks

Connection science, 2006-09, Vol.18 (3), p.287-302

Frank, Stefan L.

2006

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High capacity, small world associative memory models

Connection science, 2006-09, Vol.18 (3), p.247-264

2006

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The Emergence of a 'Language' in an Evolving Population of Neural Networks

Connection science, 1998-06, Vol.10 (2), p.83-97

1998

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Density Plots of Hidden Value Unit Activations Reveal Interpretable Bands

Connection science, 1995-06, Vol.7 (2), p.167-187

BERKELEY, ISTVAN S. N.

1995

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Lexical and syntactic structures in a connectionist model of reading multi-digit numbers

Connection science, 2006-09, Vol.18 (3), p.265-283

2006

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A defence of functional modularity

Connection science, 2003-06, Vol.15 (2-3), p.95-116

Hadley, Robert F.

2003

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Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting

Connection science, 2004-06, Vol.16 (2), p.71-99

2004

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Rule Extraction: From Neural Architecture to Symbolic Representation

Connection science, 1995-01, Vol.7 (1), p.3-27

1995

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Pseudo-recurrent Connectionist Networks: An Approach to the 'Sensitivity-Stability' Dilemma

Connection science, 1997-12, Vol.9 (4), p.353-380

FRENCH, ROBERT M

1997

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Syntactic systematicity arising from semantic predictions in a Hebbian-competitive network

Connection science, 2001-03, Vol.13 (1), p.73-94

2001

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A connectionist approach to processing dimensional interaction

Connection science, 2002-03, Vol.14 (1), p.1-48

2002

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Stack-like and queue-like dynamics in recurrent neural networks

Connection science, 2006-03, Vol.18 (1), p.23-42

Gruning, Andre

2006

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The cultural evolution of communication in a population of neural networks

Connection science, 2002-03, Vol.14 (1), p.65-84

Smith, Kenny

2002

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Discovering complex Othello strategies through evolutionary neural networks

Connection science, 1995-09, Vol.7 (3-4), p.195-209

1995

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Learning Recursive Distributed Representations for Holistic Computation

Connection science, 1991-01, Vol.3 (4), p.345-366

CHRISMAN, LONNIE

1991

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Learning through experience: an emergent connectionist account of letter production behaviour

Connection science, 2006-09, Vol.18 (3), p.231-245

2006

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On Variable Binding in Connectionist Networks

Connection science, 1992-01, Vol.4 (2), p.93-124

SUN, RON

1992

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The importance of situation-specific encodings: analysis of a simple connectionist model of letter transposition effects

Getting symbols out of a neural architecture

Compositional connectionist structures based on in situ grounded representations

An emergent approach to analogical inference

A PDP model of the simultaneous perception of multiple objects

Local or distributed activation? The view from biology

Catastrophic Forgetting, Rehearsal and Pseudorehearsal

A Recurrent Neural Network that Learns to Count

Learn more by training less: systematicity in sentence processing by recurrent networks

High capacity, small world associative memory models

The Emergence of a 'Language' in an Evolving Population of Neural Networks

Density Plots of Hidden Value Unit Activations Reveal Interpretable Bands

Lexical and syntactic structures in a connectionist model of reading multi-digit numbers

A defence of functional modularity

Self-refreshing memory in artificial neural networks: learning temporal sequences without catastrophic forgetting

Rule Extraction: From Neural Architecture to Symbolic Representation

Pseudo-recurrent Connectionist Networks: An Approach to the 'Sensitivity-Stability' Dilemma

Syntactic systematicity arising from semantic predictions in a Hebbian-competitive network

A connectionist approach to processing dimensional interaction

Stack-like and queue-like dynamics in recurrent neural networks

The cultural evolution of communication in a population of neural networks

Discovering complex Othello strategies through evolutionary neural networks

Learning Recursive Distributed Representations for Holistic Computation

Learning through experience: an emergent connectionist account of letter production behaviour

On Variable Binding in Connectionist Networks

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