Journal of Computational Neuroscience Q3 Unclaimed

Journal of Computational Neuroscience is a Transformative Journal (TJ). When research is accepted for publication, authors can choose to publish using either the traditional publishing route OR via immediate gold Open Access. (Check your funding options at https://www.springer.com/journal/10827/open-access-publishing#Fees%20and%20Funding )   Journal of Computational Neuroscience welcomes full length original papers, rapid communications, review articles, and perspective papers describing theoretical and experimental work relevant to computations in the brain and nervous system. Papers that combine theoretical and experimental work are especially encouraged. Primarily, theoretical papers should deal with issues of obvious relevance to biological nervous systems. Experimental papers should have implications for the computational function of the nervous system, and may report results using any of a variety of approaches including anatomy, electrophysiology, biophysics, imaging, and molecular biology. Papers investigating the physiological mechanisms underlying pathologies of the nervous system, or papers that report novel technologies of interest to researchers in computational neuroscience, including advances in neural data analysis methods with the potential to yield insights into the function of the nervous system, are also welcomed. It is anticipated that all levels of analysis from cognitive to cellular will be represented in the Journal of Computational Neuroscience. However, papers that are primarily devoted to new methods or analyses should demonstrate their utility for the investigation of mechanisms or principles of neural function. Prospective authors are strongly encouraged to consult recent issues of  the Journal to be sure that their submissions are in scope.   The  Journal focuses on understanding brain function at the level of neurons and circuits via computational and model-based approaches that are tied to biology and are experimentally testable.  Examples of work that is not within the Journal's scope include (i) presentations of signal-processing algorithms that are purely methodological or for biomedical applications such as brain-computer interfaces or seizure detection, and (ii) computational analysis of genomic data without a clear tie-in to neural mechanisms of brain function.Before submitting your manuscript to this journal, please use the Aims & Scope text to make sure that the content fits into the journal. Consideration of these two points is important for this purpose:   Does this paper contain a model, which may be computational, theoretical or mathematical?  Please note that computational and/or statistical analysis, without a model, is not appropriate for this journal.   Does this paper investigate some aspect of brain function, which may be cellular, circuit, large-scale or cognitive?  Please note that papers that use machine learning or related methods to analyze neural data, but do not address function, are not appropriate for this journal. Details concerning the submission and publication procedures: - No page charges - Color is free - Optional Gold Open Access: 2022 Open Access Publication Fee (APC) for this journal is £2090.00/$3190.00/€2490.00 net (see funding options) Neuroscience Peer Review Consortium The Journal is pleased to be a member of the Neuroscience Peer Review Consortium (NPRC), an alliance of neuroscience journals that have agreed to share manuscript reviews at the author's request. It has an SJR impact factor of 0,38.

Journal of Computational Neuroscience focuses its scope in these topics and keywords: code, model, spike, neuron, calcium, voltage, postsynaptic, potassium, neuronal, neural, ...

Categories: Cognitive Neuroscience (Q3) Cellular and Molecular Neuroscience (Q4) Sensory Systems (Q4)

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2490 €

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0 €

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