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Computational Intelligence and Neuroscience - Hindawi | 2024 Impact Factor:2.284 | Cite Score:3.9

Computational Intelligence and Neuroscience Journal - Hindawi - Impact Factor

Impact Factor and Journal Rank of Computational Intelligence and Neuroscience

  • About: Computational Intelligence and Neuroscience is a peer-reviewed, open access journal that publishes original research articles and review articles in all areas of computational intelligence and neuroscience. The journal aims to provide a platform for researchers to share their latest findings and to promote interdisciplinary research between computational intelligence and neuroscience.
  • Publication Types:
    Research Articles: Original research contributions in computational intelligence and neuroscience.
  • Review Papers: Comprehensive reviews of current technologies and methodologies in computational intelligence and neuroscience.
  • Case Studies: Practical applications and case studies showcasing the use of computational intelligence and neuroscience in various fields.
  • Methodological Papers: Articles focusing on the development and validation of new techniques and tools for computational intelligence and neuroscience.
  • Impact and Contribution:
    Computational Intelligence and Neuroscience plays a significant role in advancing the fields of computational intelligence and neuroscience by publishing high-quality research and promoting interdisciplinary collaboration. The journal contributions extend to both academic research and practical applications, influencing the development of innovative solutions and technologies in these fields.

  • Editor-in-Chief:  Andrzej Cichocki

  • Scope: The Computational Intelligence and Neuroscience Journal aims to provide a multidisciplinary platform for the dissemination of high-quality research in the fields of computational intelligence and neuroscience. The journal focuses on the integration of computational methods with neuroscience to understand brain function, develop intelligent systems, and address neurological disorders. Key areas of interest include: Computational Neuroscience: Research on the development and application of computational models to understand neural processes, brain dynamics, and cognitive functions.
  • Neural Networks: Studies on the design, training, and application of artificial neural networks for solving complex problems in various domains, including pattern recognition, signal processing, and data analysis.
  • Brain-Computer Interfaces (BCIs): Research on the development of interfaces that enable direct communication between the brain and external devices, including applications in neuroprosthetics and assistive technologies.
  • Neuroinformatics: Studies on the development of tools and databases for managing, analyzing, and sharing neuroscience data, facilitating collaborative research and data-driven discoveries.
  • Neuroimaging: Research on advanced imaging techniques and analysis methods for studying brain structure and function, including MRI, fMRI, EEG, and MEG.
  • Cognitive Neuroscience: Studies on the neural mechanisms underlying cognitive processes such as perception, memory, attention, language, and decision-making.
  • Neural Signal Processing: Research on the development of algorithms and techniques for processing neural signals, including noise reduction, feature extraction, and classification.
  • Neurodynamics: Studies on the dynamic behavior of neural systems, including synchronization, oscillations, and chaos in neural activity.
  • Neuroinformatics and Big Data: Research on the application of big data analytics, machine learning, and artificial intelligence to large-scale neuroscience data sets.
  • Computational Methods in Neurobiology: Studies on the application of computational techniques to understand the molecular and cellular mechanisms of brain function and development.
  • Neuroengineering: Research on the development of technologies for interfacing with neural systems, including neural implants, bioelectronic devices, and neuromodulation techniques.
  • Artificial Intelligence in Neuroscience: Studies on the application of AI and machine learning techniques to model brain functions, analyze neural data, and develop intelligent systems inspired by neural principles.
  • Neurological Disorders: Research on the computational modeling and analysis of neurological disorders, including epilepsy, Alzheimer disease, Parkinson disease, and mental health conditions.
  • Latest Research Topics for PhD in Machine Learning
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  • Print ISSN:  1687-5265

    Electronic ISSN:  1687-5273

  • Abstracting and Indexing:  Scopus, SCIE

  • Imapct Factor 2024:  2.284

  • Subject Area and Category:   Computer Science, Computer Science (miscellaneous), Mathematics, Mathematics (miscellaneous), Medicine, Medicine (miscellaneous), Neuroscience, Neuroscience (miscellaneous)

  • Publication Frequency:  

  • H Index:  88

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  • Cite Score:  3.9

  • SNIP:  0.929

  • Journal Rank(SJR):  0.863