HKN Graduate Research Spotlight
Neural Computation in C. elegans
Neural Computation in C. elegans
Diverse Perspectives. Strong Science.
Unified C. elegans Neural Activity and Connectivity Datasets for Building Foundation Models of a Small Nervous System
Honorable Mention for visionary essay on ethical identity and future digital selves, awarded by MIT SERC.
Published in arXiv, 2023
This preprint presents a comprehensive approach to reverse engineering the complete nervous system of C. elegans.
Recommended citation: Haspel, N., et al. (2023). "To Reverse Engineer an Entire Nervous System." arXiv.
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Published in IEEE Xplore, 2024
This paper explores scaling properties of artificial neural network models applied to the C. elegans nervous system.
Recommended citation: Simeon, Q., et al. (2024). "Scaling Properties For ANN Models of a Small Nervous System." IEEE Xplore.
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Published:
This talk explores how the nematode C. elegans presents an opportunity for integrating multiple dimensions of neural function. With only 302 neurons, complete connectome mapping, optical transparency, and genetic tractability, C. elegans enables comprehensive study across three fundamental modalities: molecular genetic profiles, network connectivity, and neural activity dynamics.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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