Observing hidden neuronal states in experiments
In this article we demonstrate a general protocol for constructing systematically experimental steady-state bifurcation diagrams for electrophysiologically active cells. We perform our experiments on entorhinal cortex neurons, both excitatory (pyramidal neurons) and inhibitiory (interneurons). A slowly ramped voltage-clamp electrophysiology protocol serves as closed-loop feedback controlled experiment for the subsequent current-clamp open-loop protocol on the same cell. In this way, the voltage-clamped experiment determines dynamically stable and unstable (hidden) steady states of the current-clamp experiment. The transitions between observable steady states and observable spiking states in the current-clamp experiment provide partial evidence for stability and bifurcations of the steady states. This technique for completing steady-state bifurcation diagrams in a model-independent way expands support for model validation to otherwise inaccessible regions of the phase space. Overlaying the voltage-clamp and current-clamp protocols leads to an experimental validation of the classical slow-fast dissection method introduced by J. Rinzel in the 1980s and routinely applied ever since in order to analyse slow-fast neuronal models. Our approach opens doors to observing further complex hidden states with more advanced control strategies, allowing to control real cells beyond pharmacological manipulations.
Authors
- Serafim Rodrigues (ORCID: https://orcid.org/0000-0002-3601-5760)
- Guillaume Girier (ORCID: https://orcid.org/0000-0002-3987-1554)
- Dmitry V. Amakhin (ORCID: https://orcid.org/0000-0002-7098-4768)
- Jan Sieber (ORCID: https://orcid.org/0000-0002-9558-1324)
- Anton V. Chizhov (ORCID: https://orcid.org/0000-0002-7993-6770)
- Mathieu Desroches
Institutions
- Ikerbasque (ES)
- Institut national de recherche en sciences et technologies du numérique (FR)
- Institute of Evolutionary Physiology and Biochemistry (RU)
- University of Bremen (DE)
- Université de Montpellier (FR)
- University of Exeter (GB)
- Basque Center for Applied Mathematics (ES)
Publication Details
- Journal
- PLoS Computational Biology
- Published
- 2025-12-08
- DOI
- https://doi.org/10.1371/journal.pcbi.1013748
- Primary Topic
- Neural dynamics and brain function
- Type
- article
- Field-Weighted Citation Impact
- 0.00