Gap Junction Modeling is a computational framework that specifically describes the electrical coupling between neurons through direct ion flow via intercellular channels, distinguishing it from other neuronal interaction models by emphasizing bidirectional current transmission at synapses without chemical mediation.
81
Publications
3.7K
Citations
236
Authors
137
Institutions
Publications per year
2017–2026
17
Parents
Publications
81
Gap junction structures: Analysis of the x-ray diffraction data
Lee Makowski, DLD Caspar, W.C. Phillips et al. · The Journal of Cell Biology · 1977 · 499 citations · Full text
Life Sciences, Biology, Biophysics +17
Gap junction coupling confers isopotentiality on astrocyte syncytium
Baofeng Ma, Richard Buckalew, Yixing Du et al. · Glia · 2015 · 138 citations
Medicine, Neurobiology, Neuroscience +17
1–5 of 81
Authors
236
- MS
4
h-index
- DG
3
h-index
- RV
3
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- ML
3
h-index
- SM
3
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1–5 of 236
Institutions
137
University of Utah
Salt Lake City, United States
5 h-index
14 publications
263 citations
Albert Einstein College of Medicine
Bronx, United States
4 h-index
5 publications
126 citations
University of Victoria
Victoria, Canada
4 h-index
8 publications
376 citations
University of Bern
Bern, Switzerland
4 h-index
8 publications
302 citations
Tufts University
Medford, United States
3 h-index
4 publications
229 citations
University of Calgary
Calgary, Canada
3 h-index
6 publications
437 citations
University of California San Diego
San Diego, United States
3 h-index
5 publications
258 citations
Universitat de València
Valencia, Spain
3 h-index
6 publications
108 citations
1–8 of 137
Venues
- Biophysical Journal
9 publications · 484 citations
9
h-index
- The Journal of Physiology
6 publications · 330 citations
6
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- PLoS Computational Biology
5 publications · 151 citations
5
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- IEEE Transactions on Biomedical Engineering
4 publications · 170 citations
4
h-index
- Journal of Theoretical Biology
4 publications · 88 citations
4
h-index
1–5