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  1. Symbolic Reasoning in Spiking Neurons: A Model of the Cortex/Basal Ganglia/Thalamus Loop.Terrence C. Stewart, Xuan Choo & Chris Eliasmith - 2010 - In S. Ohlsson & R. Catrambone (eds.), Proceedings of the 32nd Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 1100--1105.
     
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  2. The AHA! Experience: Creativity Through Emergent Binding in Neural Networks.Paul Thagard & Terrence C. Stewart - 2011 - Cognitive Science 35 (1):1-33.
    Many kinds of creativity result from combination of mental representations. This paper provides a computational account of how creative thinking can arise from combining neural patterns into ones that are potentially novel and useful. We defend the hypothesis that such combinations arise from mechanisms that bind together neural activity by a process of convolution, a mathematical operation that interweaves structures. We describe computer simulations that show the feasibility of using convolution to produce emergent patterns of neural activity that can support (...)
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    Intention, Emotion, and Action: A Neural Theory Based on Semantic Pointers.Tobias Schröder, Terrence C. Stewart & Paul Thagard - 2014 - Cognitive Science 38 (5):851-880.
    We propose a unified theory of intentions as neural processes that integrate representations of states of affairs, actions, and emotional evaluation. We show how this theory provides answers to philosophical questions about the concept of intention, psychological questions about human behavior, computational questions about the relations between belief and action, and neuroscientific questions about how the brain produces actions. Our theory of intention ties together biologically plausible mechanisms for belief, planning, and motor control. The computational feasibility of these mechanisms is (...)
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    Two Theories of Consciousness: Semantic Pointer Competition Vs. Information Integration.Paul Thagard & Terrence C. Stewart - 2014 - Consciousness and Cognition 30:73-90.
  5.  17
    Realistic Neurons Can Compute the Operations Needed by Quantum Probability Theory and Other Vector Symbolic Architectures.Terrence C. Stewart & Chris Eliasmith - 2013 - Behavioral and Brain Sciences 36 (3):307 - 308.
    Quantum probability (QP) theory can be seen as a type of vector symbolic architecture (VSA): mental states are vectors storing structured information and manipulated using algebraic operations. Furthermore, the operations needed by QP match those in other VSAs. This allows existing biologically realistic neural models to be adapted to provide a mechanistic explanation of the cognitive phenomena described in the target article by Pothos & Busemeyer (P&B).
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    The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.Peter Duggins, Terrence C. Stewart, Xuan Choo & Chris Eliasmith - 2017 - Topics in Cognitive Science 9 (1):117-134.
    We use a spiking neural network model of working memory capable of performing the spatial delayed response task to investigate two drugs that affect WM: guanfacine and phenylephrine. In this model, the loss of information over time results from changes in the spiking neural activity through recurrent connections. We reproduce the standard forgetting curve and then show that this curve changes in the presence of GFC and PHE, whose application is simulated by manipulating functional, neural, and biophysical properties of the (...)
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  7. The Effects of Guanfacine and Phenylephrine on a Spiking Neuron Model of Working Memory.Peter Duggins, Terrence C. Stewart, Xuan Choo & Chris Eliasmith - 2016 - Topics in Cognitive Science 8 (4).
    We use a spiking neural network model of working memory capable of performing the spatial delayed response task to investigate two drugs that affect WM: guanfacine and phenylephrine. In this model, the loss of information over time results from changes in the spiking neural activity through recurrent connections. We reproduce the standard forgetting curve and then show that this curve changes in the presence of GFC and PHE, whose application is simulated by manipulating functional, neural, and biophysical properties of the (...)
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