Electroencephalogram and visual evoked potential generation in a mathematical model of coupled cortical columns
Abstract
This study deals with neurophysiologically based models simulating electrical brain activity (i.e., the electroencephalogram or EEG, and evoked potentials or EPs). A previously developed lumped-parameter model of a single cortical column was implemented using a more accurate computational procedure. Anatomically acceptable values for the various model parameters were determined, and a multi-dimensional exploration of the model parameter-space was conducted. It was found that the model could produce a large variety of EEG-like waveforms and rhythms. Coupling two models, with delays in the interconnections to simulate the synaptic connections within and between cortical areas, made it possible to replicate the spatial distribution of alpha and beta activity. EPs were simulated by presenting pulses to the input of the coupled models. In general, the responses were more realistic than those produced using a single model. Our simulations also suggest that the scalp-recorded EP is at least partially due to a phase reordering of the ongoing activity.
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By adjusting a few key parameters such as the gain of neuronal populations that carry error signals, mean-field models can simulate how precision is encoded and modulated in the brain.
“By adjusting a few key parameters (like the gain of neuronal populations that carry error signals), these models can simulate how precision (confidence) is encoded and modulated in the brain (21, 22).”
From Predictive coding and neurocomputational psychiatry: a mechanistic framework for understanding mental disorders (2026) · cites this paper as [22]
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“By adjusting a few key parameters (like the gain of neuronal populations that carry error signals), these models can simulate how precision (con fi dence) is encoded and modulated in the brain (21, 22).”
- Authors
- Jansen, B. H., & Rit, V. G.
- Affiliations
- University of Houston (US)
- Venue
- Biological Cybernetics
- Published
- 1995-09
- Volume
- 73
- Issue
- 4
- Pages
- 357-366
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2070765152
- Cited by
- 1,159
- References
- 24
- Citations by year
- 2026: 68 · 2025: 98 · 2024: 60 · 2023: 69 · 2022: 85 · 2021: 60 · 2020: 59 · 2019: 63 · 2018: 62 · 2017: 55 · 2016: 42 · 2015: 57 · 2014: 61 · 2013: 47 · 2012: 44
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Biological Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Computer Networks and Communications › Nonlinear Dynamics and Pattern Formation
- Keywords
- EEG, visual evoked potentials, lumped parameter model, EEG rhythms, alpha activity, beta activity, synaptic delay, interconnect delay, scalp recording, parameter space exploration
- MeSH terms
- Animals, Cats, Cerebral Cortex, Electroencephalography, Evoked Potentials, Visual, Humans, Mathematics, Models, Neurological, Neurons, Scalp
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