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Connectionist mechanisms for cognitive control

Carter Wendelken, Lokendra Shastri
2005 Neurocomputing  
An understanding of cognitive control is crucial for understanding high-level cognition and delineating the functional role of prefrontal cortex in supporting complex cognitive operations.  ...  We propose a set of primitive, neurally plausible control mechanisms, including monitoring, filtering, selection, maintenance, organization, and manipulation, describe connectionist implementations of  ...  [13, 14] ), is to develop detailed connectionist models of neural mechanisms that seem critical for supporting various cognitive control tasks.  ... 
doi:10.1016/j.neucom.2004.10.095 fatcat:vnci56jqkjf6zcau3sci4mwem4

Connectionist Dissociations, Confounding Factors and Modularity [chapter]

John A. Bullinaria
1999 Connectionist Models in Cognitive Neuroscience  
Although much has been written on this subject, there still seems to be considerable confusion in the literature concerning dissociations, double dissociations and what they really mean, especially when connectionist  ...  Figure 10 : 10 Carefully chosen parameters can result in a connectionist cross-over DD.  ...  As we shall see later, such DDs are easily obtainable in connectionist models. Devlin et al.  ... 
doi:10.1007/978-1-4471-0813-9_5 fatcat:if7ec7ystjevpdn6nepu7xvh5i

Integrative synchronization mechanisms in connectionist cognitive neuroarchitectures

Harald Maurer
2016 Computational Cognitive Science  
This processual or dynamical perspective on cognition, including the dynamical binding mechanisms in cognitive neuroarchitectures, has the advantage of a more accurately modeling of the transient cognitive  ...  This new fluid or liquid perspective in cognitive science and cognitive neuroscience can be regarded as a contribution towards bridging the gap between the discrete, abstract symbolic description of propositions  ...  Integrated Connectionist/Symbolic (ICS) Cognitive Architecture In the so-called "Integrated Connectionist/Symbolic (ICS) Cognitive Architecture" Smolensky (2006a; 2006b) aims at the integration of symbolic  ... 
doi:10.1186/s40469-016-0010-8 fatcat:qc2vghrrhveyfc5xf52kxfm4hu

An Adaptive Connectionist Model of Cognitive Dissonance

Frank van Overwalle, Karen Jordens
2002 Personality and Social Psychology Review  
The aim of the present article is to further advance connectionist modeling of cognitive dissonance by presenting an alternative connectionist model in which the connections between cognitions are automatically  ...  This article proposes an adaptive connectionist model that implements an attributional account of cognitive dissonance.  ...  The present model is thus a member of a growing unifying connectionist theory of cognitive change.  ... 
doi:10.1207/s15327957pspr0603_6 fatcat:prjxl3dhl5fwfmhjaze4rsohga

Cerebellum and spatial cognition: A connectionist approach

Jean-Baptiste Passot, Laure Rondi-Reig, Angelo Arleo
2009 The European Symposium on Artificial Neural Networks  
Recent experimental findings have also begun to unravel the implication of the cerebellum in high-level functions such as spatial cognition.  ...  Yet, to our knowledge, none of these works addressed the issue of the role of the cerebellum in high-level functions such as spatial cognition.  ...  extensive research on declarative spatial memory (which concerns the ability to learn abstract contextual representations), another class of works has investigated the procedural component of spatial cognition  ... 
dblp:conf/esann/PassotRA09 fatcat:srktrrw2ibfvnptexmv7xl4bma

Connectionist models of cognitive development: where next?

J ELMAN
2005 Trends in Cognitive Sciences  
Among these, connectionist models stand out as offering some of the most exciting (and also controversial) insights into cognitive development.  ...  Missing development Connectionist models are, by and large, models of learning. There is good reason for this.  ... 
doi:10.1016/j.tics.2005.01.005 pmid:15737819 fatcat:3ivktdq7qzejxf4mfi65lzqrvi

CAB: Connectionist Analogy Builder

L Larkey
2003 Cognitive Science  
The ability to make informative comparisons is central to human cognition. Comparison involves aligning two representations and placing their elements into correspondence.  ...  Connectionist Analogy Builder (CAB) determines correspondences through a simple iterative computation that matches elements in one representation with elements playing compatible roles in the other representation  ...  One challenge for any model of higher-order cognitive processing is scaling to the pinnacles of human performance.  ... 
doi:10.1016/s0364-0213(03)00066-1 fatcat:zajh22qoubadtpbx3o2fug3gfq

Simulating Problem Difficulty in Arithmetic Cognition Through Dynamic Connectionist Models [article]

Sungjae Cho, Jaeseo Lim, Chris Hickey, Jung Ae Park, Byoung-Tak Zhang
2019 arXiv   pre-print
The present study aims to investigate similarities between how humans and connectionist models experience difficulty in arithmetic problems.  ...  The present study found that both humans and connectionist models experience difficulty similarly when solving binary addition and subtraction.  ...  Therefore, finding such similarities is a foundational step in understanding human cognition through connectionist models.  ... 
arXiv:1905.03617v3 fatcat:tenrnx2yung6pnnkd653orrqle

APPLYING FORWARD MODELS TO SEQUENCE LEARNING: A CONNECTIONIST IMPLEMENTATION

DIONYSSIOS THEOFILOU, ARNAUD DESTREBECQZ, AXEL CLEEREMANS
2004 Connectionist Models of Cognition and Perception II  
Current connectionist models of performance in the so-called Serial Reaction Time Task (SRT), however, fail to capture the fact that sequence learning can be based not only on sensitivity to the sequential  ...  Constant interaction with a dynamic, changing environment thus makes sensitivity to sequential structure a fundamental ability of cognitive beings.  ...  Introduction Sequence Learning Most aspects of cognition -consider for instance segmenting speech, riding a bicycle, planning your next day, apprehending music, reading -involve the ability to process  ... 
doi:10.1142/9789812702784_0005 fatcat:vwjq2ygzevbdrg5kcxri5dldey

A distributed connectionist production system

D Touretzky
1988 Cognitive Science  
DCPS is a connectionist production system interpreter that uses distributed representations.  ...  INTRODUCTION DCPS is a connectionist production system interpreter that uses distributed representations.  ... 
doi:10.1016/0364-0213(88)90029-8 fatcat:xuy4fpr24ffqpa3s5lkitrkcnu

Connectionist sentence processing in perspective

M Steedman
1999 Cognitive Science  
The emphasis in the connectionist sentence-processing literature on distributed representation and emergence of grammar from such systems can easily obscure the often close relations between connectionist  ...  devices based on a distinctively connectionist basis for grounded symbolist conceptual structure.  ...  Nevertheless, the emphasis in the connectionist literature on distributed representation and "emergence" of rule-like behavior from such systems has sometimes made it hard for connectionists and symbolists  ... 
doi:10.1016/s0364-0213(99)00018-x fatcat:po6ncamfovaknnl7rhpha4ax3u

Connectionist Sentence Processing in Perspective

Mark Steedman
1999 Cognitive Science  
The emphasis in the connectionist sentence-processing literature on distributed representation and emergence of grammar from such systems can easily obscure the often close relations between connectionist  ...  devices based on a distinctively connectionist basis for grounded symbolist conceptual structure.  ...  Nevertheless, the emphasis in the connectionist literature on distributed representation and "emergence" of rule-like behavior from such systems has sometimes made it hard for connectionists and symbolists  ... 
doi:10.1207/s15516709cog2304_10 fatcat:kl4zwpc2jvd6hfrvhrawzhnluq

Connectionist models and their properties

J FELDMAN, D BALLARD
1982 Cognitive Science  
After a preliminary discussion, this paper introduces a general connectionist model and considers how it might be used in cognitive science.  ...  Much of the progress in the fields constituting cognitive science has been based upon the use of explicit information processing models, almost exclusively patterned after conventional serial computers  ...  A major goal of this paper is to lay a foundation for the systematic use of massively parallel connectionist models in the cognitive sciences, even where these are not yet reducible to physiology or silicon  ... 
doi:10.1016/s0364-0213(82)80001-3 fatcat:rin4vg4izrd45bvlmxqal6htke

Connectionist semantic systematicity

Stefan L. Frank, Willem F.G. Haselager, Iris van Rooij
2009 Cognition  
Cognition, 28, 3-71] argue that connectionist models are not able to display systematicity other than by implementing a classical symbol system.  ...  Connectionism and cognitive architecture: A critical analysis.  ...  It is conceivable that this holds not only for neural networks, but also for the human cognitive system.  ... 
doi:10.1016/j.cognition.2008.11.013 pmid:19135653 fatcat:fz4ifz7fofembkbau62352vvrq

Connectionist models of infant perceptual and cognitive development

Leslie B. Cohen, Harold H. Chaput
2002 Developmental Science  
Connectionist models have begun to appear on a variety of aspects of infant perception, cognition and language.  ...  These principles provide a constructivist view of cognitive development amenable to connectionist modeling.  ... 
doi:10.1111/1467-7687.00218_1 fatcat:llyyccp7wvbghgan45fgq7pokm
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