Neural Network World, published by the Academy of Sciences of the Czech Republic, Institute of Computer Science, is a preeminent journal dedicated to the fields of artificial intelligence, hardware and architecture, software engineering, and neuroscience. Since its inception in 1994, this journal has provided a platform for the dissemination of pioneering research and technical advancements in neural networks and their applications. Operating from the heart of Prague, this publication holds a Q4 quartile ranking across key categories, highlighting the growing interest and relevance in its multidisciplinary focus. Although it does not currently offer open access, its commitment to scholarly rigor ensures that readers engage with high-quality content, making it a valuable resource for researchers, professionals, and students alike. As the field evolves, Neural Network World serves as an essential forum for innovative ideas and critical discussions, reinforcing its significance in driving forward the future of technology and neuroscience.

Cognitive Neuroscience is a pivotal journal in the ever-evolving field of cognitive neuroscience, published by Routledge Journals, Taylor & Francis Ltd, in the United Kingdom. Since its inception in 2010, this journal has dedicated itself to publishing innovative research that explores the intricate relationships between neural mechanisms and cognitive processes. With an increasing focus on interdisciplinary studies, it addresses critical issues from both theoretical and empirical perspectives. Although it currently holds a Q3 ranking in the Cognitive Neuroscience category, it has made significant strides in its Scopus ranking, now positioned at #62 out of 115, reflecting its growing impact on the academic community. Researchers and professionals will find the journal an invaluable resource for staying updated on the latest findings and methodologies in the field. While the journal operates under a traditional access model, it ensures high visibility and dissemination of crucial research that shapes our understanding of the brain's role in cognition. As it continues to evolve through to 2024, Cognitive Neuroscience remains committed to fostering collaboration and inspiring future innovations within the discipline.

Welcome to the JOURNAL OF NEUROSCIENCE METHODS, a prestigious platform for disseminating innovative methodologies in the interdisciplinary field of neuroscience. Published by Elsevier, this journal has been pivotal since its inception in 1979, covering a diverse range of experimental techniques and methods aimed at advancing our understanding of neural systems and functions. With a commendable impact factor and classified within the Q2 category in Neuroscience (miscellaneous) as of 2023, the journal continues to attract high-quality research from professionals, scholars, and students alike. While maintaining a robust subscription model, it provides unparalleled access to groundbreaking studies, fostering collaboration and knowledge exchange among the global neuroscience community. Join us as we explore and contribute to the evolution of neuroscience methodologies through rigorous research and comprehensive reviews, setting the stage for future discoveries.

NETWORK-COMPUTATION IN NEURAL SYSTEMS is a distinguished journal published by Taylor & Francis Inc, focusing on the innovative intersection of network theory and neural computation. Since its inception in 1990, this journal has provided a vital platform for researchers and professionals in the field of neuroscience, exploring the dynamics of neural networks and computational models. With its current Q3 category ranking in Neuroscience (miscellaneous) and a robust position in Scopus, the journal plays a critical role in advancing knowledge and discussion within this interdisciplinary area. The journal addresses a wide range of topics related to the computational aspects of neural systems, fostering collaboration and providing valuable insights amongst scholars. Although it is not an open-access publication, its well-curated content remains accessible through institutional subscriptions, ensuring that significant research reaches the hands of those who need it. As it continues to evolve through 2024 and beyond, NETWORK-COMPUTATION IN NEURAL SYSTEMS stands as a key resource for anyone deeply engaged in understanding the complexities and intricacies of neural computations.

NEURAL NETWORKS, an esteemed journal with the ISSN 0893-6080 and E-ISSN 1879-2782, is published by Pergamon-Elsevier Science Ltd in the United Kingdom. This influential journal, established in 1988 and continuing its publication through 2024, is recognized for its significant contributions to the fields of Artificial Intelligence and Cognitive Neuroscience, ranking in the Q1 category in both disciplines as of 2023. With a strong Scopus rank of #4/115 in Cognitive Neuroscience and #35/350 in Artificial Intelligence, and a commendable percentile of 96th and 90th respectively, NEURAL NETWORKS stands at the forefront of academic research. Researchers, professionals, and students can benefit from the journal's rigorous peer-review process and the dissemination of groundbreaking findings that shape understanding in artificial intelligence methodologies and their cognitive applications. While the journal currently operates under traditional access options, it serves as a vital resource in fostering innovations and cross-disciplinary collaboration.

Social Neuroscience is a premier academic journal dedicated to advancing the interdisciplinary field that lies at the intersection of social psychology, behavioral neuroscience, and developmental studies. Published by ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD, this journal has made significant strides since its establishment in 2006, with a convergence period extending to 2024. It regularly features innovative research articles that explore the neural basis of social behaviors and the impact of social interactions on brain function. Holding esteemed rankings in Scopus, including Q2 status in both Development and Social Psychology categories, it appeals to a broad array of scholars and practitioners keen on understanding human behavior through a neuroscientific lens. The journal's commitment to fostering critical discussions and publishing impactful research makes it an essential resource for professionals, researchers, and students alike who seek to deepen their understanding of the complex interplay between social processes and neural mechanisms.

NEUROCOMPUTING is a premier academic journal published by ELSEVIER, specializing in the interdisciplinary fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. With an impressive impact factor and a Q1 ranking in its relevant categories for 2023, NEUROCOMPUTING is recognized as a leader in fostering innovative research and providing a platform for ground-breaking studies. The journal’s scope covers the convergence of neural computation and artificial intelligence, making it essential reading for researchers and professionals seeking to explore the latest advancements and applications in these dynamic fields. For those interested in the cutting-edge intersection of neuroscience and computational techniques, NEUROCOMPUTING offers a wealth of knowledge that significantly contributes to both theoretical and practical advancements. The journal is dedicated to publishing high-quality, peer-reviewed articles and is an invaluable resource for students and established scholars alike, looking to stay at the forefront of research trends.

IEEE Computational Intelligence Magazine, published by the esteemed IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, is an essential resource for researchers and professionals in the fields of Artificial Intelligence and Theoretical Computer Science. With a robust Q1 ranking in both categories for 2023, this magazine stands out as a leader in disseminating cutting-edge research and innovative applications within computational intelligence. As an invaluable conduit for knowledge, it covers a diverse range of topics, including but not limited to machine learning, neural networks, and data mining. The magazine is particularly recognized for its interdisciplinary approach, bridging gaps between theory and application while contributing to advancements in technology and society. Although it does not offer open access, the insights provided are critical for staying at the forefront of this rapidly evolving discipline. Join a community of like-minded scholars and practitioners by exploring the latest findings and trends published from 2006 to 2024, operating from its headquarters at 445 Hoes Lane, Piscataway, NJ, United States.

Neurobiology of Learning and Memory is a prestigious journal dedicated to the exploration of the neural mechanisms underlying learning and memory processes. Published by Academic Press Inc Elsevier Science, this journal boasts a strong reputation within the field, as evidenced by its impressive impact factor and high quartile rankings in multiple categories, including Q1 in Behavioral Neuroscience and Q2 in Cognitive Neuroscience. Having provided a platform for groundbreaking research since its inception in 1995, the journal aims to disseminate influential findings that further our understanding of cognitive processes, shaped by robust empirical studies and theoretical developments. Researchers and professionals in neuroscience, psychology, and related disciplines will find invaluable insights and advancements that underscore the journal's commitment to fostering knowledge and innovation within these fields. While it currently operates under a subscription model, its comprehensive coverage of crucial topics positions it as a vital resource for those engaged in the intricate study of learning and memory.

Neuropsychologia, published by PERGAMON-ELSEVIER SCIENCE LTD, is a premier journal that delves into the intersections of psychology and neuroscience, specifically focusing on behavioral and cognitive processes. Since its inception in 1963, this esteemed journal has been a vital platform for researchers, professionals, and students, showcasing innovative studies and advancements in the fields of Behavioral Neuroscience, Cognitive Neuroscience, and Experimental Psychology. With a commendable impact factor, placing it in the Q2 category across multiple disciplines, Neuropsychologia is recognized for its contribution to the scientific community, ranking among the top journals in both Experimental and Cognitive Psychology and Neuroscience. The journal's commitment to excellence is evident in its rigorous peer-review process and its mission to disseminate cutting-edge research, making it an invaluable resource for those seeking to expand their knowledge and insights in neuropsychology. For further reading, the journal is accessible in both print and digital formats, ensuring that researchers can easily engage with the latest findings and theoretical advancements in this dynamic field.