Analysis of neuronal firing in stochastic models with adaptive thresholds

Action-Potential-mediated release of neurotransmitters at chemical synapses is fundamental to interneuronal communication. More specifically, presynaptic Action Potentials (APs) trigger the fusion of docked vesicles which subsequently empty their neurotransmitter content into the synaptic cleft and drive transient changes in the postsynaptic membrane potential. An excitatory synaptic connection leads to depolarization of the membrane potential, and a postsynaptic AP is elicited when it reaches a critical threshold level. Such postsynaptic AP "firings" are classically modeled using the integrate-and-fire model, where the threshold is fixed. In the paper we consider a revised model where the threshold changes in response to recent firing activity. Our analysis reveals that the adaptive threshold can lead to a band-pass effect where the postsynaptic AP frequency is maximized to an intermediate presynaptic AP frequency.

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Published
2025-06-24
DOI
https://doi.org/10.23919/ecc65951.2025.11187227
Primary Topic
Neural dynamics and brain function
Type
article
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article

Analysis of neuronal firing in stochastic models with adaptive thresholds

Abhyudai Singh, Oliver Gambrell
Neural dynamics and brain function
article

Analysis of neuronal firing in stochastic models with adaptive thresholds

Abhyudai Singh, Oliver Gambrell
article en

Abstract

Action-Potential-mediated release of neurotransmitters at chemical synapses is fundamental to interneuronal communication. More specifically, presynaptic Action Potentials (APs) trigger the fusion of docked vesicles which subsequently empty their neurotransmitter content into the synaptic cleft and drive transient changes in the postsynaptic membrane potential. An excitatory synaptic connection leads to depolarization of the membrane potential, and a postsynaptic AP is elicited when it reaches a critical threshold level. Such postsynaptic AP "firings" are classically modeled using the integrate-and-fire model, where the threshold is fixed. In the paper we consider a revised model where the threshold changes in response to recent firing activity. Our analysis reveals that the adaptive threshold can lead to a band-pass effect where the postsynaptic AP frequency is maximized to an intermediate presynaptic AP frequency.

University of Delaware (US)
Openalex Percentile: Top 71%
Neural dynamics and brain function
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Analysis of neuronal firing in stochastic models with adaptive thresholds — Abhyudai Singh, Oliver Gambrell · (2025) | TGRS Research Map | TGRS