Journal of Computational Neuroscience Template
Write in a clean editor, then format for Journal of Computational Neuroscience in one click — DocuGuru applies the official Springer Nature template with superscript references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Journal of Computational Neuroscience format
Journal of Computational Neuroscience is a peer-reviewed journal published by Springer Nature, covering Neural dynamics and brain function, Neuroscience and Neuropharmacology Research, stochastic dynamics and bifurcation.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. Journal of Computational Neuroscience 12, 45–58 (2023).
Formats any DOI in Journal of Computational Neuroscience style. No sign-up. |
| Publishes research in | Neural dynamics and brain function Neuroscience and Neuropharmacology Research stochastic dynamics and bifurcation Neuroscience and Neural Engineering Advanced Memory and Neural Computing |
| ISSN | 0929-5313 |
| Citation impact (2-yr) | 1.28 |
| h-index | 112 |
| i10-index | 888 |
| Total citations | 56,598 |
| Article processing charge | $3,390 |
| Top institutions publishing here | Centre National de la Recherche Scientifique |
| Journal website | www.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Journal of Computational Neuroscience per year
Citation impact of Journal of Computational Neuroscience by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Journal of Computational Neuroscience
Understanding causal relationships, or effective connectivity, between parts of the brain is of utmost importance because a large part of the brain's activity is thought to be internally generated and, hence, quantifying stimulus response relationships alone does not fully describe brain dynamics. Past efforts to determine effective connectivity mostly relied on model based approaches such…