Optimizing and Benchmarking Machine Learning and Traditional Synaptic Event Detection Pipelines in Neurophysiology Experiments

Joshua P. Sevigny; Sean Schrank; Rachel M. Donka; Oscar D. Aguilar; N. Ika Yunus; Mikaela R. Valchinova; Zach Fyke; Joseph D. Zak; Jamie D. Roitman; Dennis R. Sparta

doi:https://doi.org/10.1523/eneuro.0410-25.2026

Optimizing and Benchmarking Machine Learning and Traditional Synaptic Event Detection Pipelines in Neurophysiology Experiments

Identifier:nobleid.org/w1/20260418/D6C54ECC

Type:Journal Article

0 views

Support unavailableClaim Your Authorship

Embeddable Badge

[![NobleID](https://www.nobleid.org/api/badge/D6C54ECC.svg?ark=w1%2F20260418%2FD6C54ECC)](https://nobleid.org/work/w1/20260418/D6C54ECC)

ARK Inflections

Metadata Policy

Metadata Formats

Bibliometric Analysis

Impact metrics, research fronts, co-authorship networks →

Authors & Claims

Paper Authors

Mikaela R. Valchinova

Claim authorship of this work

Optimizing and Benchmarking Machine Learning and Traditional Synaptic Event Detection Pipelines in Neurophysiology Experiments

Identifier:nobleid.org/w1/20260418/D6C54ECC

Type:Journal Article

0 views

Support unavailableClaim Your Authorship

Embeddable Badge

[![NobleID](https://www.nobleid.org/api/badge/D6C54ECC.svg?ark=w1%2F20260418%2FD6C54ECC)](https://nobleid.org/work/w1/20260418/D6C54ECC)

ARK Inflections

Metadata Policy

Metadata Formats

Bibliometric Analysis

Impact metrics, research fronts, co-authorship networks →

Authors & Claims

Paper Authors

Mikaela R. Valchinova

Claim authorship of this work