Thomas Hope

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The dynamical systems' approach to cognition (Dynamicism) promises computational models that effectively embed cognitive processing within its more natural behavioral context. Dynamical cognitive models also pose difficult, analytical challenges, which motivate the development of new analytical methodology. We start by illustrating the challenge by applying(More)
HIV-1 viral particles engineered to incorporate integrase fused to EGFP (HIV-IN-EGFP) have proven effective to study pre-integration complexes (PICs) within nuclei of infected cells [1]. In this study we now report the live imaging analysis of nuclear PICs obtained by time-lapse microscopy. By monitoring IN-EGFP labeled complex movements within nuclei of(More)
This paper reports an experiment in which artificial foraging agents with dynamic, recurrent neural network architectures, are "evolved" within a simulated ecosystem. The resultant agents can compare different food values to "go for more," and display similar comparison performance to that found in biological subjects. We propose and apply a novel(More)
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