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Why Build a Virtual Brain? Large-scale Neural Simulations as Test-bed for Artificial Computing Systems

In D. C. Noelle, R. Dale, A. S. Warlaumont, J. Yoshimi, T. Matlock, C. D. Jennings & P. P. Maglio (eds.), Proceedings of the 37th Annual Conference of the Cognitive Science Society. Cognitive Science Society. pp. 429-434 (2015)

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  1. Large-Scale Brain Simulation and Disorders of Consciousness. Mapping Technical and Conceptual Issues.Michele Farisco, Jeanette H. Kotaleski & Kathinka Evers - 2018 - Frontiers in Psychology 9.
    Modelling and simulations have gained a leading position in contemporary attempts to describe, explain, and quantitatively predict the human brain's operations. Computer models are highly sophisticated tools developed to achieve an integrated knowledge of the brain with the aim of overcoming the actual fragmentation resulting from different neuroscientific approaches. In this paper we investigate plausibility of simulation technologies for emulation of consciousness and the potential clinical impact of large-scale brain simulation on the assessment and care of disorders of consciousness, e.g. (...)
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  • Brain, consciousness and disorders of consciousness at the intersection of neuroscience and philosophy.Michele Farisco - 2019 - Dissertation, Uppsala University
    The present dissertation starts from the general claim that neuroscience is not neutral, with regard to theoretical questions like the nature of consciousness, but it needs to be complemented with dedicated conceptual analysis. Specifically, the argument for this thesis is that the combination of empirical and conceptual work is a necessary step for assessing the significant questions raised by the most recent study of the brain. Results emerging from neuroscience are conceptually very relevant in themselves but, notwithstanding its theoretical sophistication, (...)
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  • Why Build a Virtual Brain? Large-Scale Neural Simulations as Jump Start for Cognitive Computing.Matteo Colombo - 2016 - Journal of Experimental and Theoretical Artificial Intelligence.
    Despite the impressive amount of financial resources recently invested in carrying out large-scale brain simulations, it is controversial what the pay-offs are of pursuing this project. One idea is that from designing, building, and running a large-scale neural simulation, scientists acquire knowledge about the computational performance of the simulating system, rather than about the neurobiological system represented in the simulation. It has been claimed that this knowledge may usher in a new era of neuromorphic, cognitive computing systems. This study elucidates (...)
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