Dynamic Bayesian networks for neural information flow: evaluation of continuous and discrete scoring metrics
- DOI
- 10.1007/s10827-026-00945-6
- Published
- 2026-07-28
- Container
- Journal of Computational Neuroscience
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10827-026-00945-6,
title = {Dynamic Bayesian networks for neural information flow: evaluation of continuous and discrete scoring metrics},
author = {Jacob Thomas-Hegarty and Stefan R. Pulver and V Anne Smith},
year = {2026},
journal = {Journal of Computational Neuroscience},
doi = {10.1007/s10827-026-00945-6},
url = {https://doi.org/10.1007/s10827-026-00945-6}
}RIS
TY - JOUR TI - Dynamic Bayesian networks for neural information flow: evaluation of continuous and discrete scoring metrics AU - Jacob Thomas-Hegarty AU - Stefan R. Pulver AU - V Anne Smith PY - 2026 JO - Journal of Computational Neuroscience DO - 10.1007/s10827-026-00945-6 UR - https://doi.org/10.1007/s10827-026-00945-6 ER -
APA
Thomas-Hegarty, J., Pulver, S. R., & Smith, V. A. (2026). Dynamic Bayesian networks for neural information flow: evaluation of continuous and discrete scoring metrics. Journal of Computational Neuroscience. https://doi.org/10.1007/s10827-026-00945-6
Source records
- crossref · retrieved 2026-09-27T01:33:20.897Z