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Results: 10
Number of items: 10
  • Open Access
    Hesp, C., Heerebout, B. T., & Phaf, R. H. (2021). Evolutionary computation for bottom-up hypothesis generation on emotion and communication. Connection Science, 33(2), 296-320. https://doi.org/10.1080/09540091.2020.1814203
  • Heerebout, B. T., & Phaf, R. H. (2014). Good vibrations switch attention: An affective function for network oscillations in evolutionary simulations. In J. Dębiec, M. Heller, B. Brożek, & J. LeDoux (Eds.), The emotional brain revisited (pp. 163-198). Copernicus Center.
  • Heerebout, B. T., & Phaf, R. H. (2013). Behavioural benefits and neural costs in simulated evolution. In J. Stelmach, B. Brożek, & L. Kurek (Eds.), Philosophy in neuroscience (pp. 299-330). Copernicus Center Press.
  • Heerebout, B. T., Todorović, A., Smedinga, H. E., & Phaf, R. H. (2013). Affective modulation of attentional switching. The American Journal of Psychology, 126(2), 197-211. https://doi.org/10.5406/amerjpsyc.126.2.0197
  • Heerebout, B. T., Tap, A. E. Y., Rotteveel, M., & Phaf, R. H. (2013). Gamma flicker elicits positive affect without awareness. Consciousness and Cognition, 22(1), 281-289. https://doi.org/10.1016/j.concog.2012.07.001
  • Open Access
    Heerebout, B. T. (2011). Getting emotional with evolutionary simulations: the origin of affective processing in artificial neural networks. [Thesis, fully internal, Universiteit van Amsterdam].
  • Heerebout, B. T., & Phaf, R. H. (2010). Good vibrations switch attention: an affective function for network oscillations in evolutionary simulations. Cognitive Affective & Behavioral Neuroscience, 10(2), 217-229. https://doi.org/10.3758/CABN.10.2.217
  • Open Access
    Heerebout, B. T., & Phaf, R. H. (2010). Emergent oscillations in evolutionary simulations: oscillating networks increase switching efficacy. Journal of Cognitive Neuroscience, 22(5), 807-823. https://doi.org/10.1162/jocn.2009.21205
  • Heerebout, B. T., & Phaf, R. H. (2009). Frequency and motivational state: evolutionary simulations suggest an adaptive function for network oscillations. In N. A. Taatgen, & H. van Rijn (Eds.), Proceedings of the 31st Annual Conference of the Cognitive Science Society (pp. 1018-1023). Cognitive Science Society. http://csjarchive.cogsci.rpi.edu/Proceedings/2009/papers/244/paper244.pdf
  • den Dulk, P., Heerebout, B. T., & Phaf, R. H. (2003). A computational study into the evolution of dual-route dynamics for affective processing. Journal of Cognitive Neuroscience, 15(2), 194-208. https://doi.org/10.1162/089892903321208132
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