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.

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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
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article

Observing hidden neuronal states in experiments

Serafim Rodrigues, Guillaume Girier, Dmitry V. Amakhin, Jan Sieber et al.
PLoS Computational Biology
Neural dynamics and brain function
article

Observing hidden neuronal states in experiments

Serafim Rodrigues, Guillaume Girier, Dmitry V. Amakhin, Jan Sieber, Anton V. Chizhov, Mathieu Desroches
article en

Abstract

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.

PLoS Computational BiologyVol. 21(12)
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)
Openalex Percentile: Top 60%
Neural dynamics and brain function
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