Works matching IS 0140525X AND DT 2006 AND VI 29 AND IP 1
Results: 34
Author's Response: From neural dynamics to true combinatorial structures.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 88, doi. 10.1017/S0140525X06399025
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An alternative model of sentence parsing explains complexity phenomena more comprehensively without problems of localist encoding.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 87, doi. 10.1017/S0140525X06389029
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Can neural models of cognition benefit from the advantages of connectionism?
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 86, doi. 10.1017/S0140525X06379022
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Comparing the neural blackboard and the temporal synchrony-based SHRUTI architectures.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 84, doi. 10.1017/S0140525X06369026
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On the unproductiveness of language and linguistics.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 82, doi. 10.1017/S0140525X0635902X
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Constituent structure and the binding problem.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 81, doi. 10.1017/S0140525X06349023
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Blackboards in the brain.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 81
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Neural circuits, matrices, and conjunctive binding.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 80, doi. 10.1017/S0140525X06329020
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Distributed neural blackboards could be more attractive.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 79
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Vector symbolic architectures are a viable alternative for Jackendoff's challenges.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 78, doi. 10.1017/S0140525X06309028
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Will the neural blackboard architecture scale up to semantics?
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 77, doi. 10.1017/S0140525X06299023
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Engineering the brain.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 76, doi. 10.1017/S0140525X06289027
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Has the brain evolved to answer "binding questions" or to generate likely hypotheses about complex and continuously changing environments?
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 75, doi. 10.1017/S0140525X06279020
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The problem with using associations to carry binding information.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 74, doi. 10.1017/S0140525X06269024
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How anchors allow reusing categories in neural composition of sentences.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 73, doi. 10.1017/S0140525X06259028
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- Article
How neural is the neural blackboard architecture?
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 72, doi. 10.1017/S0140525X06249021
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On the structural ambiguity in natural language that the neural architecture cannot deal with.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 71, doi. 10.1017/S0140525X06239025
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Conscious cognition and blackboard architectures.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 70, doi. 10.1017/S0140525X06229029
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Neural blackboard architectures of combinatorial structures in cognition.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 37, doi. 10.1017/S0140525X06009022
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Author's Response: Evolutionary neuroscience: Limitations and prospects.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 25, doi. 10.1017/S0140525X06359018
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Brain design: The evolution of brains.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 24, doi. 10.1017/S0140525X06349011
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Brain evolution by natural selection.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 23, doi. 10.1017/S0140525X06339015
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An evolutionary niche for quantitative theoretical analyses?
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 23, doi. 10.1017/S0140525X06329019
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The key role of prefrontal cortex structure and function.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 22, doi. 10.1017/S0140525X06319012
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Velocity and direction in neurobehavioral evolution: The centripetal prospective.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 21, doi. 10.1017/S0140525X06309016
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Mental attention, not language, may explain evolutionary growth of human intelligence and brain size.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 19, doi. 10.1017/S0140525X06299011
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Principles of brain connectivity organization.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 18, doi. 10.1017/S0140525X06289015
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The evolution of computation in brain circuitry.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 17, doi. 10.1017/S0140525X06279019
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Scaling patterns of interhemispheric connectivity in eutherian mammals.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 16, doi. 10.1017/S0140525X06269012
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Putting humans in their proper place.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 15, doi. 10.1017/S0140525X06259016
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Practical use of evolutionary neuroscience principles.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 14, doi. 10.1017/S0140525X0624901X
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Neuroscientists need to be evolutionarily challenged.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 13, doi. 10.1017/S0140525X06239013
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Brain evolution: Part I.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 12, doi. 10.1017/S0140525X06229017
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Précis of Principles of Brain Evolution.
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- Behavioral & Brain Sciences, 2006, v. 29, n. 1, p. 1, doi. 10.1017/S0140525X06009010
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- Article