The Journal of Mathematical Neuroscience will cease to be published by SpringerOpen as of 31st December 2021. SpringerOpen will continue to host an archive of all articles previously published in the journal and all articles published in The Journal of Mathematical Neuroscience will remain fully searchable via the SpringerOpen website.
This journal will cease publication in December 2021
COVID-19 and impact on peer review
As a result of the significant disruption that is being caused by the COVID-19 pandemic we are very aware that many researchers will have difficulty in meeting the timelines associated with our peer review process during normal times. Please do let us know if you need additional time. Our systems will continue to remind you of the original timelines but we intend to be highly flexible at this time.
Articles
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Rendering neuronal state equations compatible with the principle of stationary action
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Pattern formation in a 2-population homogenized neuronal network model
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Auditory streaming emerges from fast excitation and slow delayed inhibition
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A model of on/off transitions in neurons of the deep cerebellar nuclei: deciphering the underlying ionic mechanisms
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Mathematical Frameworks for Oscillatory Network Dynamics in Neuroscience
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Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons
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Path Integral Methods for Stochastic Differential Equations
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Understanding the dynamics of biological and neural oscillator networks through exact mean-field reductions: a review
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A showcase of torus canards in neuronal bursters
Aims and scope
The Journal of Mathematical Neuroscience (JMN) publishes research articles on the mathematical modeling and analysis of all areas of neuroscience, i.e., the study of the nervous system and its dysfunctions. The focus is on using mathematics as the primary tool for elucidating the fundamental mechanisms responsible for experimentally observed behaviours in neuroscience at all relevant scales, from the molecular world to that of cognition. The aim is to publish work that uses advanced mathematical techniques to illuminate these questions.
It publishes full length original papers, rapid communications and review articles. Papers that combine theoretical results supported by convincing numerical experiments are especially encouraged.
Papers that introduce and help develop those new pieces of mathematical theory which are likely to be relevant to future studies of the nervous system in general and the human brain in particular are also welcome.
From the blog
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ICMNS 2020 – Digital (6th-7th of July 2020)
08 May 2020
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2nd International Workshop On Neurodynamics (Ndy’18)
27 April 2018
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Volga Neuroscience Meeting 2018
06 April 2018
Annual Journal Metrics
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Not applicable
APC Funding
Concerned about article-processing charges (APCs)? Find out more about institutional memberships, APC funding opportunities and waivers.
- ISSN: 2190-8567 (electronic)