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Results: 25
Number of items: 25
  • Open Access
    Hesp, C. (2021). Beyond connectionism: A neuronal dance of ephaptic and synaptic interactions: Commentary on “The growth of cognition: Free energy minimization and the embryogenesis of cortical computation” by Wright and Bourke (2020). Physics of Life Reviews, 36, 40-43. https://doi.org/10.1016/j.plrev.2020.08.002
  • Open Access
    Sandved-Smith, L., Hesp, C., Mattout, J., Friston, K., Lutz, A., & Ramstead, M. J. D. (2021). Towards a computational phenomenology of mental action: modelling meta-awareness and attentional control with deep parametric active inference. Neuroscience of Consciousness, 2021(1), Article niab018. https://doi.org/10.1093/nc/niab018
  • Open Access
    Constant, A., Hesp, C., Davey, C. G., Friston, K. J., & Badcock, P. B. (2021). Why Depressed Mood is Adaptive: A Numerical Proof of Principle for an Evolutionary Systems Theory of Depression. Computational Psychiatry, 5, 60-80. https://doi.org/10.5334/cpsy.70
  • Open Access
    Ramstead, M. J. D., Hesp, C., Tschantz, A., Smith, R., Constant, A., & Friston, K. (2021). Neural and phenotypic representation under the free-energy principle. Neuroscience and Biobehavioral Reviews, 120, 109-122. https://doi.org/10.1016/j.neubiorev.2020.11.024
  • Open Access
    Kastel, N., & Hesp, C. (2021). Ideas Worth Spreading: A Free Energy Proposal for Cumulative Cultural Dynamics. In M. Kamp, I. Koprinska, A. Bibal, T. Bouadi, B. Frénay, L. Galárraga, J. Oramas, & L. Adilova (Eds.), Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, virtual event, September 13-17, 2021 : proceedings (Vol. I, pp. 784-798). (Communications in Computer and Information Science; Vol. 1524). Springer. https://doi.org/10.1007/978-3-030-93736-2_55
  • Open Access
    Liska, M., Hesp, C., Tchekhovskoy, A., Ingram, A., van der Klis, M., Markoff, S. B., & Van Moer, M. (2021). Disc Tearing and Bardeen-Petterson Alignment in GRMHD Simulations of Highly Tilted Thin Accretion Discs. Monthly Notices of the Royal Astronomical Society, 507(1), 983-990. https://doi.org/10.1093/mnras/staa099
  • 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
  • Open Access
    Hesp, C., Smith, R., Parr, T., Allen, M., Friston, K. J., & Ramstead, M. J. D. (2021). Deeply Felt Affect: The Emergence of Valence in Deep Active Inference. Neural Computation, 33(2), 398-446. https://doi.org/10.1162/neco_a_01341
  • Tchekhovskoy, A., Chatterjee, K., Liska, M., Younsi, Z., Markoff, S. B., Hesp, C., van der Klis, M., van Eijnatten, D., Ingram, A., & Yoon, D. (2020). Observational signatures of disk and jet misalignment in images of accreting black holes [Data set]. Zenodo. https://doi.org/10.5281/zenodo.3757013
  • Hesp, C., Tschantz, A., Millidge, B., Ramstead, M., Friston, K., & Smith, R. (2020). Sophisticated Affective Inference: Simulating Anticipatory Affective Dynamics of Imagining Future Events. In T. Verbelen, P. Lanillos, C. L. Buckley, & C. De Boom (Eds.), Active Inference: First International Workshop, IWAI 2020, Co-located with ECML/PKDD 2020, Ghent, Belgium, September 14, 2020 : proceedings (pp. 179-186). (Communications in Computer and Information Science; Vol. 1326). Springer. https://doi.org/10.1007/978-3-030-64919-7_18
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