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Life (ISSN 2075-1729) is an international, peer-reviewed scientific open access journal concerned with fundamental themes in life sciences, from basic to applied research. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. There are, in addition, unique features of this journal:

    Manuscripts regarding research proposals and research ideas will be particularly welcomed.
    Electronic files or software regarding the full details of the calculation and experimental procedure-if unable to be published in a normal way-can be deposited as supplementary material.
    Manuscripts communicating to a broader audience with regard to research projects financed with public funds are also welcomed.
    Authors have the option to publish all reviewer comments and editorial decisions alongside the final published manuscript.
    Reviewers can optionally sign their comments: in this case, their identity will be made public with the final published paper.


This journal covers all aspects of life sciences. Research fields of interest include but are not limited to:

    artificial life
    cell biology
    definition of life
    developmental biology
    evolutionary biology
    life detection technology
    molecular biology
    molecular phylogeny
    origins of life
    prebiotic chemistry
    space life sciences/ space biology
    structural biology
    systems biology
    synthetic biology
    theoretical biology
Last updated by Dou Sun in 2022-09-12
Special Issues
Special Issue on Modeling and Theoretical Analysis of Artificial Neural Networks for Life Sciences
Submission Date: 2023-02-16

Dear Colleagues, Artificial neural networks are usually inspired by biological nervous systems, such as multilayer perceptron, feedback neural networks, convolutional neural networks, and spiking neural networks, which partly simulate the natural nervous system. Recently, artificial neural networks have been widely used in life sciences, and deep neural networks in particular have shown great vitality in many related fields, such as medical biology, bioinformatics, and computational biology. However, there are still some problems to be solved in artificial neural networks. First, more effective and powerful biomimetic neural networks are still required to address the application problems of life sciences, because there is still plenty of room to solve problems in the real world for the existing artificial neural networks that are far from being regarded as strong artificial intelligence. Second, theoretical analysis of existing artificial neural networks is urgently needed because most of them lack interpretability, meaning that we still cannot explain why neural networks make the decisions they make, which also limits their use in some situations. Third, a systematic study of modeling methods in the applications of artificial neural networks is needed because designing neural networks for specific tasks is still expensive, and we need universal modules and modeling methods to help engineers to make better use of them in life sciences. Fourth, research in adversarial attacks for deep neural networks has shown that there is great destructive power in their applications, and well-designed adversarial examples can fool deep neural-network-based systems. Thus, research on attack and defense techniques for deep neural networks is urgent for them to be applied in life sciences. This Special Issue focuses on new ideas, methods, and techniques in modeling and theoretical analysis of artificial neural networks for life sciences, and related application research on neural networks is also welcome. Dr. Xin Jin Guest Editor Manuscript Submission Information Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website. Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Life is an international peer-reviewed open access monthly journal published by MDPI. Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions. Keywords artificial neural networks neurodynamic analysis computational neuroscience brain-inspired modeling neural network modeling for life sciences machine learning for life sciences bioinformatics computational biology deep learning for medicine adversarial attack and defense on neural networks
Last updated by Dou Sun in 2022-09-12