Acetylcholine enhances deviance detection in Hodgkin-Huxley neuronal networks.

Overview

1. Key Laboratory of Biomedical Information Engineering of Ministry of Education, Institute of Health and Rehabilitation Science, School of Life Science and Technology, Xi’an Jiaotong University,Xi’an, 710049 China
2. International Research Center for Neurointelligence (WPI-IRCN), UTIAS, The University of Tokyo,Tokyo, Japan

Abstract

The brain’s ability to detect unexpected events, deviance detection (DD), is critical for survival. While DD has been computationally explained by synaptic plasticity, the role of neuromodulators such as acetylcholine (ACh) remains less understood. Here, we examine how ACh modulates DD. Using a cholinergic-sensitive Hodgkin-Huxley network of 200 neurons arranged in 2D space and stimulated via five spatially distinct inputs (A–E), we implemented an oddball paradigm with three conditions: standard (80% A, 20% B), deviant (20% A, 80% B), and a multi-standard control (20% each of A–E). ACh levels were modeled by varying the conductance of a slow K⁺ current, reflecting cholinergic modulation of the M-current. In the absence of ACh, the network already exhibited DD, responding more strongly to deviant A compared to control A. Notably, introducing a small amount of ACh amplified DD, while further increases suppressed it. Maximal DD occurred when strong spike frequency adaptation to standard B reduced competition, and enhanced phase-locking synchronized the network’s response to deviant A. These findings reveal how neuromodulation can shape context-sensitive neural computation, optimizing detection of salient events through a dynamic balance of suppression and synchronization.

Supplementary Information: The online version contains supplementary material available at 10.1007/s11571-026-10522-3.

Reproduced under the paper's license (CC BY), from the paper cited above.

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The source code for our computational model and analysis scripts is publicly available in the Zenodo repository under the DOI: 10.5281/zenodo.17072341.

Reproduced under the paper's license (CC BY), from the paper cited above.

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Data availability

All data used to produce the figureswas generated via numerical simulations of the code, which is publicly available in the Zenodo repository under the DOI: 10.5281/zenodo.17072341.

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Recorded: type, language, journal, volume, issue, pages, dates, 3 authors, 4 keywords, 1 funder, 74 references.

Cite

This paper

Fang, F., Huang, Z.-G., & Chao, Z. C. (2026). Acetylcholine enhances deviance detection in Hodgkin-Huxley neuronal networks. Cognitive neurodynamics, 20(1), 153. https://doi.org/10.1007/s11571-026-10522-3

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