Author

Jacob Thomas-Hegarty

University of St Andrews

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Stefan R. PulveriD· 1 shared V. Anne SmithiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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1 shared paperNeuroscience

Stefan R. PulverORCID

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1 paper

Recent·Most cited

Dynamic Bayesian networks for neural information flow:evaluation of continuous and discrete scoring metrics

Jacob Thomas-Hegarty, Stefan R. Pulver, V. Anne Smith

This study evaluates Bayesian network scoring metrics and other methods for analyzing neural information flow in simulated single-neuron and population data, finding discrete dynamic Bayesian networks to be the most consistent.

Journal of Computational Neuroscience · Jul 28, 2026Peer-reviewedNeuroscience