BIOLOGICAL CYBERNETICS
Scope & Guideline
Advancing Knowledge at the Nexus of Life and Machines
Introduction
Aims and Scopes
- Neural Dynamics and Modeling:
The journal emphasizes the development of computational models that simulate neuronal behavior and dynamics, exploring the principles of neural coding and network interactions. - Biological Control Systems:
Research often investigates control mechanisms in biological systems, including feedback loops and adaptive strategies that govern behavior in both natural and artificial systems. - Cognitive Processes and Learning Mechanisms:
There is a consistent focus on understanding learning processes, including reinforcement learning and Hebbian learning, particularly as they pertain to cognitive functions. - Interdisciplinary Applications:
The journal integrates approaches from various disciplines, including robotics, computer science, and neuroscience, to apply biological principles to artificial systems and vice versa. - Complex Systems and Emergence:
Research often explores complex interactions within biological systems, focusing on emergent properties and how simple rules can lead to complex behaviors.
Trending and Emerging
- Reinforcement Learning and Adaptive Control:
There is an increasing emphasis on reinforcement learning as a framework for understanding adaptive behaviors in biological systems, demonstrating its relevance in both neuroscience and artificial intelligence. - Neural Networks and Deep Learning:
The application of deep learning techniques to model and understand neural processes is on the rise, showcasing the intersection of machine learning and biological systems. - Complex Systems and Stochastic Modeling:
Emerging research is focusing on stochastic models that capture the complexities and variabilities inherent in biological systems, emphasizing the role of noise and randomness. - Biohybrid and Robotic Systems:
There is a growing interest in biohybrid systems that integrate biological and artificial components, exploring how biological principles can inform robotic design and function. - Interdisciplinary Collaboration:
The journal is increasingly showcasing studies that bridge multiple fields, such as neurobiology, computer science, and robotics, reflecting a trend towards collaborative and integrative research.
Declining or Waning
- Traditional Neurophysiology:
There appears to be a waning interest in purely descriptive studies of neurophysiological processes without computational modeling or analysis. - Static Models of Neural Function:
The focus on static or linear models of neural function is decreasing, as the field moves towards more dynamic and complex representations of neuronal interactions. - Animal Behavior Studies without Computational Context:
Research solely focused on animal behavior without integrating computational or cybernetic approaches has become less prominent, reflecting a shift towards more integrative studies.
Similar Journals
Artificial Life and Robotics
Exploring the Frontiers of AI and BiochemistryArtificial Life and Robotics, published by Springer, is a prominent journal in the fields of Artificial Intelligence and Biochemistry, Genetics, and Molecular Biology, with an ISSN of 1433-5298 and E-ISSN of 1614-7456. Established in 2005, the journal has continually contributed to knowledge and innovation in these rapidly evolving disciplines and is recognized for its significant impact, as indicated by its quartile rankings in the 2023 category assessments. The journal is currently positioned in Q4 for Artificial Intelligence and Q3 for General Biochemistry, Genetics and Molecular Biology, with a notable ranking of 138/221 and 262/350 in respective research areas. While it currently does not follow an open access model, it remains a valuable resource for researchers, professionals, and students seeking to advance their understanding and application of artificial life and robotic technologies. With an emphasis on interdisciplinary research, this journal aims to bridge theoretical foundations with practical applications, making it an essential platform for cutting-edge studies and discussions in the field.
BIOSYSTEMS
Fostering collaboration across disciplines to tackle biological challenges.BIOSYSTEMS is a prestigious academic journal published by Elsevier Science Ltd, dedicated to the interdisciplinary fields of applied mathematics, biochemistry, genetics, molecular biology, medicine, modeling and simulation, and statistics and probability. Established in 1967, this journal has carved a niche in presenting innovative research that bridges theoretical and practical aspects of biological systems, making it essential reading for researchers, professionals, and students alike. With a robust impact factor and a Q3 category ranking across various fields, BIOSYSTEMS is recognized for its contributions to advancing scientific knowledge and fostering collaborations among disciplines. The journal's rigorous peer-review process ensures high-quality and impactful articles that address complex biological challenges through quantitative and qualitative methods. As a vital resource for the academic community, BIOSYSTEMS invites submissions that enhance understanding of biosystem processes, enabling readers to stay at the forefront of research trends and applications.
International Journal of Machine Learning and Cybernetics
Pioneering Research in AI and Computer VisionInternational Journal of Machine Learning and Cybernetics, published by SPRINGER HEIDELBERG, serves as a pivotal platform for scholars and practitioners in the fields of Artificial Intelligence, Computer Vision, and Software Engineering. With its impressive Q2 and Q1 rankings in esteemed categories such as Artificial Intelligence and Computer Vision and Pattern Recognition, this journal boasts a commendable reputation within the academic community, further solidified by its Scopus rankings that place it in the top percentiles of its category. This journal covers critical advancements and research trends spanning the years from 2010 to 2024, facilitating knowledge exchange that drives innovation in machine learning and cybernetics. Although it operates under a subscription model, it remains accessible for extensive readership, comprising researchers, professionals, and students eager to advance their understanding in this dynamic and rapidly evolving discipline. Stay at the forefront of technology by engaging with the latest findings and methodologies published in this influential journal, identified by its ISSN 1868-8071 and E-ISSN 1868-808X.
CHAOS
Innovating Theories for a Chaotic WorldCHAOS, an esteemed journal published by AIP Publishing, is a cornerstone of interdisciplinary research, focusing on the intricate dynamics of complex systems across various scientific domains. With a balanced impact factor, this journal emphasizes high-quality contributions in Applied Mathematics, Mathematical Physics, and Statistical and Nonlinear Physics, while also exploring intersections with Medicine and Physics and Astronomy. With rankings showing a remarkable percentile placement, notably #7 in Mathematical Physics and #10 in Statistical and Nonlinear Physics, CHAOS has established itself as a leading platform for disseminating groundbreaking research since its inception in 1991. This journal not only aims to foster collaboration among scientists but also to advance theoretical and computational frameworks that unravel the complexities of chaotic systems. Researchers, professionals, and students alike will find rich insights and innovative theories within its pages, making it an invaluable resource in the pursuit of knowledge and understanding in the modern scientific landscape.
Physics of Life Reviews
Bridging Disciplines for a Deeper Understanding of LifePhysics of Life Reviews is an esteemed journal published by ELSEVIER, focusing on the interdisciplinary study of life sciences through the lens of physical principles. Since its inception in 2004, the journal has garnered considerable recognition, achieving a remarkable impact factor that underscores its significance—ranking in the top quartile (Q1) across three distinct categories in 2023, including Agricultural and Biological Sciences, Artificial Intelligence, and Physics and Astronomy. These exceptional rankings highlight the journal's commitment to advancing research and fostering innovation in the application of physical concepts to biological systems. Physics of Life Reviews provides comprehensive reviews, critical analyses, and cutting-edge insights that are essential for researchers, professionals, and students seeking to navigate and contribute to this dynamic field. As an essential resource, the journal encourages the exploration of new paradigms and methodologies, facilitating the growth of knowledge at the intersection of physics and life sciences.
Systematic Biology
Unraveling the complexities of biodiversity through rigorous research.Systematic Biology is a premier journal published by Oxford University Press, dedicated to advancing the field of systematic biology through rigorous research and comprehensive reviews. Established in 1952, this esteemed journal has become a cornerstone of scholarship in Ecology, Evolution, Behavior and Systematics and Genetics, consistently ranking in the Q1 category as of 2023. With an impressive Scopus ranking—19th in Ecology and Evolution and 23rd in Genetics—Systematic Biology offers a platform for the dissemination of groundbreaking research, novel methodologies, and critical discussions that shape our understanding of biological diversity and evolution. While the journal does not currently offer open access options, it maintains a strong commitment to quality and integrity in publishing, ensuring that every article contributes meaningfully to the scientific community. Researchers, professionals, and students alike will find valuable insights and a wealth of knowledge within its pages, supporting their work and fostering a deeper appreciation for the intricate web of life.
Bioinformatics Advances
Innovative Insights for Computational BiologyBioinformatics Advances, published by Oxford University Press, is an esteemed academic journal that serves as a vital platform for the dissemination of innovative research in the rapidly evolving fields of bioinformatics and computational biology. With a promising E-ISSN of 2635-0041, this journal has made significant strides since its inception in 2021, achieving a commendable Q1 ranking in both the Computer Science Applications and Genetics categories, alongside respectable Q2 rankings in Molecular Biology and Structural Biology as of 2023. Though currently not an open-access publication, its critical insights cater to an audience keen on advancing knowledge and technology in genomic studies and data analytics. The journal emphasizes high-quality research and aims to facilitate the integration of computational techniques within biological sciences, making it an essential resource for researchers, professionals, and students alike who seek to stay at the forefront of bioinformatics advancements.
CYBERNETICS AND SYSTEMS ANALYSIS
Elevating Cybernetics: Where Theory Meets PracticeCYBERNETICS AND SYSTEMS ANALYSIS is a distinguished journal published by Springer, focusing on innovative research and developments in the fields of cybernetics, systems analysis, and their applications within computer science. With an ISSN of 1060-0396 and E-ISSN of 1573-8337, this journal serves as a critical platform for disseminating groundbreaking ideas that drive advancements in computational theories and practices. Although it operates under a subscription model, the journal is highly regarded with a Q3 ranking in computer science, as of 2023, highlighting its relevance in the academic community. Covering a broad scope from the convergence years of 1991–2001 and 2003, and extending its reach from 2005 through 2024, CYBERNETICS AND SYSTEMS ANALYSIS plays a pivotal role in fostering dialogue and collaboration among researchers, professionals, and students, aiming to merge theory with practical applications in cybernetics and systems thinking.
Biophysics Reviews
Fostering Collaboration for a Deeper Understanding of Life's MechanismsBiophysics Reviews, published by AIP Publishing, is an emerging journal in the field of biophysics, aiming to bridge the gap between fundamental biophysical research and applied sciences. With an ISSN of 2688-4089, this journal provides a critical platform for the dissemination of high-quality reviews covering the interplay between biochemistry, molecular biology, biotechnology, and materials science. As of 2023, it provides essential insights for researchers and professionals interested in understanding biomolecular processes at a physical level. Although the journal is not currently open access, it is making strides in establishing its impact in the competitive landscape, as indicated by its Scopus rankings in various related fields, including biochemistry and bioengineering. With a focus on enhancing collaborations among scientists and practitioners, Biophysics Reviews is poised to become a vital resource for anyone looking to deepen their understanding of how biophysical principles can be applied to solve complex biological challenges.
JOURNAL OF COMPUTATIONAL NEUROSCIENCE
Exploring the Frontiers of Neural ModelingJOURNAL OF COMPUTATIONAL NEUROSCIENCE, published by Springer, stands at the intersection of cutting-edge technology and neuroscience research, offering a platform for scholars and practitioners to disseminate advancements in the computational modeling of neural systems. With an ISSN of 0929-5313 and E-ISSN 1573-6873, this esteemed journal has been fostering scientific dialogues since its inception in 1994, continuing to evolve through 2024. Although it currently holds a Q4 ranking in the categories of Cellular and Molecular Neuroscience, Cognitive Neuroscience, and Sensory Systems, it remains dedicated to enhancing its visibility and impact within the field. While the journal is not Open Access, it remains accessible to subscribers and institutions across the globe. By providing a conduit for innovative research and insights, the JOURNAL OF COMPUTATIONAL NEUROSCIENCE serves as an indispensable resource for researchers, professionals, and students keen on pushing the boundaries of understanding in neural computation and systems.