A Time-Resolved Framework for Quantifying Neuronal Network State Transitions

Abstract

Electrophysiological recordings provide powerful tools for characterizing the dynamics of neuronal networks. In vitro neuronal cultures offer a controlled setting for investigating network responses to diverse interventions, including pharmacological and optogenetic stimulation. However, conventional analyses often reduce electrophysiological activity to aggregate measures calculated over fixed temporal windows, providing only a static representation of the network state. Here, we introduce a comprehensive, multiparametric analytical framework designed to characterize both the temporal evolution of network activity and the transitional states induced by external interventions. The framework combines multiple network discriminators with a compositional analysis that resolves electrode-level responses into excited, inhibited, and unchanged states over successive temporal segments. We apply the framework to electrophysiological recordings obtained under pharmacological interventions with 4-aminopyridine (4-AP), optogenetic stimulation, and additional benchmark conditions. The results demonstrate that the proposed analysis can reveal subtle and transient responses that may be difficult to detect using conventional aggregate measures, including responses to low-dose pharmacological interventions. These findings highlight the value of temporally resolved and compositional analyses for characterizing heterogeneous neuronal network responses in vitro.

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BibTeX RIS

BibTeX

@misc{auslender2026timeresolved,
  title = {{A Time-Resolved Framework for Quantifying Neuronal Network State Transitions}},
  author = {Ilya Auslender and Yasaman Heydari and Asiye Malkoç and Clara Zaccaria and Yuri Bozzi and Lorenzo Pavesi},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2610.08392},
  eprint = {2610.08392},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2610.08392},
  note = {CC BY-NC-SA 4.0},
}

RIS

TY  - UNPB
TI  - A Time-Resolved Framework for Quantifying Neuronal Network State Transitions
AU  - Ilya Auslender
AU  - Yasaman Heydari
AU  - Asiye Malkoç
AU  - Clara Zaccaria
AU  - Yuri Bozzi
AU  - Lorenzo Pavesi
PY  - 2026
DA  - 2026/10/06
PB  - arXiv
DO  - 10.48550/arxiv.2610.08392
UR  - https://arxiv.org/abs/2610.08392
AB  - Electrophysiological recordings provide powerful tools for characterizing the dynamics of neuronal networks. In vitro neuronal cultures offer a controlled setting for investigating network responses to diverse interventions, including pharmacological and optogenetic stimulation. However, conventional analyses often reduce electrophysiological activity to aggregate measures calculated over fixed temporal windows, providing only a static representation of the network state. Here, we introduce a comprehensive, multiparametric analytical framework designed to characterize both the temporal evolution of network activity and the transitional states induced by external interventions. The framework combines multiple network discriminators with a compositional analysis that resolves electrode-level responses into excited, inhibited, and unchanged states over successive temporal segments. We apply the framework to electrophysiological recordings obtained under pharmacological interventions with 4-aminopyridine (4-AP), optogenetic stimulation, and additional benchmark conditions. The results demonstrate that the proposed analysis can reveal subtle and transient responses that may be difficult to detect using conventional aggregate measures, including responses to low-dose pharmacological interventions. These findings highlight the value of temporally resolved and compositional analyses for characterizing heterogeneous neuronal network responses in vitro.
ER  -

Abstract

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