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Balázs Szigeti

OpenWorm project, University of Edinburgh

Builder The claim is about what the hardware does, and the philosophy is left open

Balázs Szigeti was the first author of OpenWorm: an open-science approach to modeling Caenorhabditis elegans, published in Frontiers in Computational Neuroscience on November 3, 2014, with Padraig Gleeson, Michael Vella and Stephen Larson among the coauthors. The paper reports the project’s modular simulation engine, the Geppetto middleware that integrates neuronal and soft-body physics simulators, the Sibernetic physics engine for the worm’s hydrostatic body, and the NeuroML encoding of the 302-neuron connectome.

The paper is equally explicit about the model’s limits. The first worm models contain no realistic active membrane conductances, no dopamine signaling and none of the worm’s neuropeptide chemistry, and the paper frames those absences as the validation domain of the first model family. It also states the project’s validation criterion, David Harel’s Turing-like test in which an expert tries to distinguish a real worm from a simulated one using objective measurements.

This site’s Builder category refers to his authorship of that founding report. The paper is the empirical hinge of the structure-versus-dynamics debate in whole brain emulation, and this site covers it in the OpenWorm post. It makes no claim about consciousness, and its honest record of what a connectome alone cannot produce is evidence this site weighs directly.

Known for. First author of the 2014 OpenWorm paper, whole animal simulation

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