Modeling spike frequency adaptation through higher-order fractional leaky integrate and fire model

Spike frequency adaptation is a key characteristic of spiking neurons. To examine this form of adaptation, we introduce a higher-order fractional leaky integrate and fire model. In this model, the exponent of the fractional derivative can range from one (representing an ordinary first order derivative) to two. In this regime, the impact of the past membrane potential on the present potential is inhibitory leading to spike frequency adaptation. We also analyze spike frequency adaptation in response to noisy input current and show that spike frequency adaptation is reinforced as the intensity of noisy input increases.

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Publication Details

Journal
Mathematical Biosciences
Published
2025-10-13
DOI
https://doi.org/10.1016/j.mbs.2025.109548
Citations
1
Primary Topic
Chaos control and synchronization
Type
article
Field-Weighted Citation Impact
1.32
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article

Modeling spike frequency adaptation through higher-order fractional leaky integrate and fire model

Dietmar Oelz, Mani Mehra, Yash Vats
1 citations
Mathematical Biosciences
Chaos control and synchronization
1.32
article

Modeling spike frequency adaptation through higher-order fractional leaky integrate and fire model

Dietmar Oelz, Mani Mehra, Yash Vats
article en
1 citations

Abstract

Spike frequency adaptation is a key characteristic of spiking neurons. To examine this form of adaptation, we introduce a higher-order fractional leaky integrate and fire model. In this model, the exponent of the fractional derivative can range from one (representing an ordinary first order derivative) to two. In this regime, the impact of the past membrane potential on the present potential is inhibitory leading to spike frequency adaptation. We also analyze spike frequency adaptation in response to noisy input current and show that spike frequency adaptation is reinforced as the intensity of noisy input increases.

Mathematical BiosciencesVol. 390
The University of Queensland (AU), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 15%
Chaos control and synchronization
1.32
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Modeling spike frequency adaptation through higher-order fractional leaky integrate and fire model — Dietmar Oelz, Mani Mehra, et al. · Mathematical Biosciences (2025) | TGRS Research Map | TGRS