Neuronal plasticity features are independent of neuronal holding membrane potential

Roni Vardi, Yael Tugendhaft and Ido Kanter

Physica A: Statistical Mechanics and its Applications, 2023, vol. 632, issue P1

Abstract: Dynamical reversible neuronal features in vitro are typically examined using a fixed holding membrane potential, imitating the physiological conditions of intact brains in an awake state. Here, a set of neuronal plasticity features in synaptic blocked cultures are found to be independent of the holding membrane potential in the range [−95, −50] mV. Specifically, dendritic maximal firing frequency and its absolute refractory period are independent of the holding membrane potential. In addition, the stimulation threshold is also independent of the holding membrane potential in neurons that do not show membrane depolarization in response to sub-threshold stimulations. These robust dendritic plasticity features are a prerequisite for neuronal modeling and for their utilization in interconnected neural networks to realize higher-order functionalities.

Keywords: Neuronal plasticity; Reversible processes; Dendritic learning (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:632:y:2023:i:p1:s0378437123009068

DOI: 10.1016/j.physa.2023.129351

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