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  1.  28
    Synchrony in the Eye of the Beholder: An Analysis of the Role of Neural Synchronization in Cognitive Processes. [REVIEW]Frank van der Velde & Marc de Kamps - 2002 - Brain and Mind 3 (3):291-312.
    We discuss the role of synchrony of activationin higher-level cognitive processes. Inparticular, we analyze the question of whethersynchrony of activation provides a mechanismfor compositional representation in neuralsystems. We will argue that synchrony ofactivation does not provide a mechanism forcompositional representation in neural systems.At face value, one can identify a level ofcompositional representation in the models thatintroduce synchrony of activation for thispurpose. But behavior in these models isalways produced by means conjunctiverepresentations in the form of coincidencedetectors. Therefore, models that rely onsynchrony (...)
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  2.  26
    From Neural Dynamics to True Combinatorial Structures.Frank van der Velde & Marc de Kamps - 2006 - Behavioral and Brain Sciences 29 (1):88-104.
    Various issues concerning the neural blackboard architectures for combinatorial structures are discussed and clarified. They range from issues related to neural dynamics, the structure of the architectures for language and vision, and alternative architectures, to linguistic issues concerning the language architecture. Particular attention is given to the nature of true combinatorial structures and the way in which information can be retrieved from them in a productive and systematic manner.
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  3.  20
    Toward a Synthesis of Dynamical Systems and Classical Computation.Frank van der Velde & Marc de Kamps - 1998 - Behavioral and Brain Sciences 21 (5):652-653.
    Cognitive agents are dynamical systems but not quantitative dynamical systems. Quantitative systems are forms of analogue computation, which is physically too unreliable as a basis for cognition. Instead, cognitive agents are dynamical systems that implement discrete forms of computation. Only such a synthesis of discrete computation and dynamical systems can provide the mathematical basis for modeling cognitive behavior.
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  4.  3
    Consciousness as a Process of Queries and Answers in Architectures Based on in Situ Representations.Frank van der Velde - 2013 - International Journal of Machine Consciousness 5 (1):27-45.
  5.  3
    Marr Versus Marr: On the Notion of Levels.Frank van der Velde, Gezinus Wolters & A. H. C. van der Heijden - 1994 - Behavioral and Brain Sciences 17 (4):681.
  6.  6
    Involvement of a Visual Blackboard Architecture in Imagery.Frank van der Velde & Marc de Kamps - 2002 - Behavioral and Brain Sciences 25 (2):213-214.
    We discuss a visual blackboard architecture that could be involved in imagery. In this architecture, networks that process identity information interact with networks that process location information, in a manner that produces structural (compositional) forms of representation. Architectures of this kind can be identified in the visual cortex, but perhaps also in prefrontal cortex areas related with working memory.
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  7.  2
    A Spy to Spy on a Spy: From Type to Token Representation with Cell Assemblies.Frank van der Velde - 1999 - Behavioral and Brain Sciences 22 (2):306-307.
    The idea of representing words with cell assemblies is very appealing. However, syntactic sequences need to be represented as well. This cannot be done by using the activity levels of assemblies. Instead, structural relations and operations between assemblies are needed to achieve serial order in syntactic word strings.
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