ArticlePLoS computational biology2015
Formation and Dynamics of Waves in a Cortical Model of Cholinergic Modulation.
Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Article
- Dynamic cholinergic signaling differentially desynchronizes cortical microcircuits dependent on modulation rate and network connectivity.PLoS computational biology · 2026Article
- REM sleep prefrontal ripple chains mediate distinct cortical-hippocampal reactivation patterns compared to NREM ripples.bioRxiv : the preprint server for biology · 2025Article
- Effects of ZnFeToxics · 2025Article
- M-current modulation of cortical slow oscillations: Network dynamics and computational modeling.PLoS computational biology · 2023Article
- Article
- Cortical state dynamics and selective attention define the spatial pattern of correlated variability in neocortex.Nature communications · 2022Article
- Acetylcholine-gated current translates wake neuronal firing rate information into a spike timing-based code in Non-REM sleep, stabilizing neural network dynamics during memory consolidation.PLoS computational biology · 2021Article
- Theta-gamma coupling emerges from spatially heterogeneous cholinergic neuromodulation.PLoS computational biology · 2021Article
- Alteration of Mesopontine Cholinergic Function by the Lack of KCNQ4 Subunit.Frontiers in cellular neuroscience · 2021Article
- Effects of Neuromodulation on Excitatory-Inhibitory Neural Network Dynamics Depend on Network Connectivity Structure.Journal of nonlinear science · 2020Article
- New perspectives on dimensionality and variability from large-scale cortical dynamics.Current opinion in neurobiology · 2019Review
- Stability of working memory in continuous attractor networks under the control of short-term plasticity.PLoS computational biology · 2019Article
- Acetylcholine Mediates Dynamic Switching Between Information Coding Schemes in Neuronal Networks.Frontiers in systems neuroscience · 2019Article
- Memory recall and spike-frequency adaptation.Physical review. E · 2016Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
Acetylcholine (ACh) is a regulator of neural excitability and one of the neurochemical substrates of sleep. Amongst the cellular effects induced by cholinergic modulation are a reduction in spike-frequency adaptation (SFA) and a shift in the phase response curve (PRC). We demonstrate in a biophysical model how changes in neural excitability and network structure interact to create three distinct functional regimes: localized asynchronous, traveling asynchronous, and traveling synchronous. Our results qualitatively match those observed experimentally. Cortical activity during slow wave sleep (SWS) differs from that during REM sleep or waking states. During SWS there are traveling patterns of activity in the cortex; in other states stationary patterns occur. Our model is a network composed of Hodgkin-Huxley type neurons with a M-current regulated by ACh. Regulation of ACh level can account for dynamical changes between functional regimes. Reduction of the magnitude of this current recreates the reduction in SFA the shift from a type 2 to a type 1 PRC observed in the presence of ACh. When SFA is minimal (in waking or REM sleep state, high ACh) patterns of activity are localized and easily pinned by network inhomogeneities. When SFA is present (decreasing ACh), traveling waves of activity naturally arise. A further decrease in ACh leads to a high degree of synchrony within traveling waves. We also show that the level of ACh determines how sensitive network activity is to synaptic heterogeneity. These regimes may have a profound functional significance as stationary patterns may play a role in the proper encoding of external input as memory and traveling waves could lead to synaptic regularization, giving unique insights into the role and significance of ACh in determining patterns of cortical activity and functional differences arising from the patterns.
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