Mechanistic explanation of neuroplasticity using equivalent circuits

This paper explores the function of neurons with a focus on biological accuracy, not computational efficiency. Unlike neuromorphic models, it does not aim to design devices. The electronic circuit analogy aids understanding by leveraging decades of electronics expertise but is not intended for physical implementation. This interdisciplinary work spans a broad range of subjects within the realm of neurobiophysics, including neurobiology, electronics, and signal processing.

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Publication Details

Journal
Frontiers in Computational Neuroscience
Published
2026-02-13
DOI
https://doi.org/10.3389/fncom.2026.1716559
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
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article

Mechanistic explanation of neuroplasticity using equivalent circuits

Martin N. P. Nilsson
Frontiers in Computational Neuroscience
Advanced Memory and Neural Computing
article

Mechanistic explanation of neuroplasticity using equivalent circuits

Martin N. P. Nilsson
article en

Abstract

This paper explores the function of neurons with a focus on biological accuracy, not computational efficiency. Unlike neuromorphic models, it does not aim to design devices. The electronic circuit analogy aids understanding by leveraging decades of electronics expertise but is not intended for physical implementation. This interdisciplinary work spans a broad range of subjects within the realm of neurobiophysics, including neurobiology, electronics, and signal processing.

Frontiers in Computational NeuroscienceVol. 20
RISE Research Institutes of Sweden (SE)
Openalex Percentile: Top 56%
Advanced Memory and Neural Computing
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Mechanistic explanation of neuroplasticity using equivalent circuits — Martin N. P. Nilsson · Frontiers in Computational Neuroscience (2026) | TGRS Research Map | TGRS