ArticlePloS one2013
A realistic neural mass model of the cortex with laminar-specific connections and synaptic plasticity - evaluation with auditory habituation.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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25 citing papers in PubMed, 45 citations in OpenAlex.
- Adolescent maturation of cortical excitation-inhibition ratio based on individualized biophysical network modeling.Science advances · 2025Article
- Modelling novelty detection in the thalamocortical loop.PLoS computational biology · 2023Article
- Virtual accident curb risk habituation in workers by restoring sensory responses to real-world warning.iScience · 2023Article
- Control of epileptic activities in a cortex network of multiple coupled neural populations under electromagnetic induction.Applied mathematics and mechanics · 2023Article
- Short-Term Habituation of Auditory N1 in Spoken Word-Forms Is Modulated by Phonological Information.Brain sciences · 2022Article
- Auditory cortex modelled as a dynamical network of oscillators: understanding event-related fields and their adaptation.Biological cybernetics · 2022Article
- Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy.Brain : a journal of neurology · 2022Article
- Towards an efficient validation of dynamical whole-brain models.Scientific reports · 2022Article
- Functional brain plasticity during L1 training on complex sentences: Changes in gamma-band oscillatory activity.Human brain mapping · 2021Article
- Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism.Nature communications · 2021Article
- A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.IEEE transactions on bio-medical engineering · 2020Article
- Pathological responses to single-pulse electrical stimuli in epilepsy: The role of feedforward inhibition.The European journal of neuroscience · 2020Article
- Seizure tracking of epileptic EEGs using a model-driven approach.Journal of neural engineering · 2020Article
- Explaining event-related fields by a mechanistic model encapsulating the anatomical structure of auditory cortex.Biological cybernetics · 2019Article
- Emergence of cognitive priming and structure building from the hierarchical interaction of canonical microcircuit models.Biological cybernetics · 2019Article
- Inversion of a large-scale circuit model reveals a cortical hierarchy in the dynamic resting human brain.Science advances · 2019Article
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- Modeling Neural Adaptation in Auditory Cortex.Frontiers in neural circuits · 2018Article
- A Stochastic Version of the Jansen and Rit Neural Mass Model: Analysis and Numerics.Journal of mathematical neuroscience · 2017Article
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this work we propose a biologically realistic local cortical circuit model (LCCM), based on neural masses, that incorporates important aspects of the functional organization of the brain that have not been covered by previous models: (1) activity dependent plasticity of excitatory synaptic couplings via depleting and recycling of neurotransmitters and (2) realistic inter-laminar dynamics via laminar-specific distribution of and connections between neural populations. The potential of the LCCM was demonstrated by accounting for the process of auditory habituation. The model parameters were specified using Bayesian inference. It was found that: (1) besides the major serial excitatory information pathway (layer 4 to layer 2/3 to layer 5/6), there exists a parallel "short-cut" pathway (layer 4 to layer 5/6), (2) the excitatory signal flow from the pyramidal cells to the inhibitory interneurons seems to be more intra-laminar while, in contrast, the inhibitory signal flow from inhibitory interneurons to the pyramidal cells seems to be both intra- and inter-laminar, and (3) the habituation rates of the connections are unsymmetrical: forward connections (from layer 4 to layer 2/3) are more strongly habituated than backward connections (from Layer 5/6 to layer 4). Our evaluation demonstrates that the novel features of the LCCM are of crucial importance for mechanistic explanations of brain function. The incorporation of these features into a mass model makes them applicable to modeling based on macroscopic data (like EEG or MEG), which are usually available in human experiments. Our LCCM is therefore a valuable building block for future realistic models of human cognitive function.
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