Ciaunica, A., Seth, A., Limanowski, J., Hesp, C., & Friston, K. J. (2022). I overthink—Therefore I am not: An active inference account of altered sense of self and agency in depersonalisation disorder. Consciousness and Cognition, 101, [103320]. https://doi.org/10.1016/j.concog.2022.103320[details]
Kastel, N., Hesp, C., Ridderinkhof, K. R., & Friston, K. J. (2022). Small steps for mankind: Modeling the emergence of cumulative culture from joint active inference communication. Frontiers in Neurorobotics, 16, [944986]. https://doi.org/10.3389/fnbot.2022.944986[details]
Liska, M. T. P., Chatterjee, K., Issa, D., Yoon, D., Kaaz, N., Tchekhovskoy, A., van Eijnatten, D., Musoke, G., Hesp, C., Rohoza, V., Markoff, S., Ingram, A., & van der Klis, M. (2022). H-AMR: A New GPU-accelerated GRMHD Code for Exascale Computing with 3D Adaptive Mesh Refinement and Local Adaptive Time Stepping. Astrophysical Journal, Supplement Series, 263(2), [26]. https://doi.org/10.3847/1538-4365/ac9966[details]
Ramstead, M. J. D., Seth, A. K., Hesp, C., Sandved-Smith, L., Mago, J., Lifshitz, M., Pagnoni, G., Smith, R., Dumas, G., Lutz, A., Friston, K., & Constant, A. (2022). From Generative Models to Generative Passages: A Computational Approach to (Neuro) Phenomenology. Review of Philosophy and Psychology, 13(4), 829-857. https://doi.org/10.1007/s13164-021-00604-y[details]
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[details]
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[details]
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[details]
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[details]
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
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), [niab018]. https://doi.org/10.1093/nc/niab018[details]
Chatterjee, K., Younsi, Z., Liska, M., Tchekhovskoy, A., Markoff, S. B., Yoon, D., van Eijnatten, D., Hesp, C., Ingram, A., & van der Klis, M. B. M. (2020). Observational signatures of disc and jet misalignment in images of accreting black holes. Monthly Notices of the Royal Astronomical Society, 499(1), 362-378. https://doi.org/10.1093/mnras/staa2718[details]
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. Zenodo. https://doi.org/10.5281/zenodo.3757013
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. 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[details]
2019
Hesp, C., Ramstead, M., Constant, A., Badcock, P., Kirchhoff, M., & Friston, K. (2019). A Multi-scale View of the Emergent Complexity of Life: A Free-Energy Proposal. In G. Yordanov Georgiev, J. M. Smart, C. L. Flores Martinez, & M. E. Price (Eds.), Evolution, Development and Complexity: Multiscale Evolutionary Models of Complex Adaptive Systems (pp. 195-227). (Springer Proceedings in Complexity). Springer. https://doi.org/10.1007/978-3-030-00075-2_7[details]
Hesp, C., Steenbeek, H. W., & van Geert, P. L. C. (2019). Socio-Emotional Concern Dynamics in a Model of Real-Time Dyadic Interaction: Parent-Child Play in Autism. Frontiers in Psychology, 10, [1635]. https://doi.org/10.3389/fpsyg.2019.01635[details]
Liska, M., Hesp, C., Tchekhovskoy, A., Ingram, A., van der Klis, M., & Markoff, S. (2018). Formation of precessing jets by tilted black hole discs in 3D general relativistic MHD simulations. Monthly Notices of the Royal Astronomical Society: Letters, 474, L81-L85. https://doi.org/10.1093/mnrasl/slx174[details]
2022
Hesp, C. (2022). Spatiotemporal constraints of causality: Blanket closure emerges from localized interactions between temporally separable subsystems. Behavioral and Brain Sciences, 45, [e197]. https://doi.org/10.1017/S0140525X22000620
Hesp, C., & Hipólito, I. (2022). Living on the edge – practical information geometry for studying the emergence and propagation of life forms: Comment on “How particular is the physics of the free-energy principle?” by Aguilera et al. Physics of Life Reviews, 42, 52-55. https://doi.org/10.1016/j.plrev.2022.06.004
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
Parr, T., Marković, D., Ramstead, M. J. D., Smith, R., Hesp, C., & Friston, K. (2021). Editorial: Probabilistic Perspectives on Brain (Dys)function. Frontiers in Artificial Intelligence, 4, [710179]. https://doi.org/10.3389/frai.2021.710179[details]
Bruineberg, J., & Hesp, C. (2018). Beyond blanket terms: Challenges for the explanatory value of variational (neuro-)ethology: Comment on “Answering Schrödinger's question: A free-energy formulation” by Maxwell James Désormeau Ramstead et al. Physics of Life Reviews, 24, 37-39. https://doi.org/10.1016/j.plrev.2017.11.015[details]
Prijs / subsidie
Murre, J., Hesp, C. & Ridderinkhof, R. (2018). Research Talent Grant.
2020
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. Zenodo. https://doi.org/10.5281/zenodo.3757013
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