The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents
Open accessAbstract
Summary Brain activity generates extracellular voltage fluctuations recorded as local field potentials (LFPs). While known that the relevant micro-variables, the ionic currents across membranes, jointly generate the macro-variables, the extracellular voltage, neither the detailed biophysical knowledge nor the required computational power has been available to model these processes. We simulated the LFP in a model of the rodent neocortical column composed of >12,000 reconstructed, multi-compartmental and spiking cortical layer 4 and 5 pyramidal neurons and basket cells, including five million dendritic and somatic compartments with voltage- and ion-dependent currents, realistic connectivity and probabilistic AMPA, NMDA and GABA synapses. We found that, depending on a number of factors, the LFP reflects local and cross-layer processing and active currents dominate the generation of LFPs rather than synaptic ones. Spike-related currents impact the LFP not only at higher frequencies but lower than 50 Hz. This work calls for re-evaluating the genesis of LFPs.
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Cites
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Buzsáki, G. (2004) · Nature Neuroscience · doi:10.1038/nn1233 · Cited by 1,875
Boosting slow oscillations during sleep potentiates memory
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Selective suppression of hippocampal ripples impairs spatial memory
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A synaptic organizing principle for cortical neuronal groups
Perin, R., Berger, T. K., & Markram, H. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1016051108 · Cited by 718 · cited 4×
“Here, we use a very largescale model consisting of more than 12 thousand morphologically and functionally realistic neurons, simulated using more than five million spatial compartments and 35 million discrete synaptic and membrane currents, connected with each other based on rules that capture many aspects of measured…”
BackgroundMethodInfluentialSelf-citationEphaptic coupling of cortical neurons
Anastassiou, C. A., Perin, R., Markram, H., & Koch, C. (2011) · Nature Neuroscience · doi:10.1038/nn.2727 · Cited by 628
Self-citationHuman memory strength is predicted by theta-frequency phase-locking of single neurons
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Cited by
Modelling and analysis of local field potentials for studying the function of cortical circuits
Einevoll, G. T., Kayser, C., Logothetis, N. K., & Panzeri, S. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3599 · Cited by 857
Where Does EEG Come From and What Does It Mean?
Cohen, M. X. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.02.004 · Cited by 722
Illuminating dendritic function with computational models
Poirazi, P., & Papoutsi, A. (2020) · Nature Reviews Neuroscience · doi:10.1038/s41583-020-0301-7 · Cited by 292
Ephaptic coupling to endogenous electric field activity: Why bother?
Anastassiou, C. A., & Koch, C. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.09.002 · Cited by 171
Self-citationA Theory of How Columns in the Neocortex Enable Learning the Structure of the World
Hawkins, J., Ahmad, S., & Cui, Y. (2017) · Frontiers in Neural Circuits · doi:10.3389/fncir.2017.00081 · Cited by 152
“Reimann et al. (2013) showed that the neocortical local field potentials can be explained by a cortical column model composed of > 12,000 reconstructed multi-compartmental neurons.”
Background
Metadata
- Authors
- Reimann, M. W., Anastassiou, C. A., Perin, R., Hill, S. L., Markram, H., & Koch, C.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 79
- Issue
- 2
- Pages
- 375-390
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2142749172
- Cited by
- 271
- References
- 12
- FWCI
- 18.01
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents. https://app.cochat.ai/papers/10.1016/j.neuron.2013.05.023
- The paper
- Reimann, M. W., Anastassiou, C. A., Perin, R., Hill, S. L., Markram, H., & Koch, C. (2013). A Biophysically Detailed Model of Neocortical Local Field Potentials Predicts the Critical Role of Active Membrane Currents. Neuron. https://doi.org/10.1016/j.neuron.2013.05.023
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