Search Results for author: Asohan Amarasingham

Found 3 papers, 1 papers with code

A causal inference approach of monosynapses from spike trains

no code implementations5 May 2024 Zach Saccomano, Sam Mckenzie, Horacio Rotstein, Asohan Amarasingham

Here, a rigorous causal inference framework for pairwise excitatory and inhibitory monosynaptic effects between spike trains is developed.

Causal Inference

Short-term Temporal Dependency Detection under Heterogeneous Event Dynamic with Hawkes Processes

1 code implementation28 May 2023 Yu Chen, Fengpei Li, Anderson Schneider, Yuriy Nevmyvaka, Asohan Amarasingham, Henry Lam

Then we proposed a robust and computationally-efficient method modified from MLE that does not rely on the prior estimation of the heterogeneous intensity and is thus applicable in a data-limited regime (e. g., few-shot, no repeated observations).

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