NEURAL COMPUTATION

Scope & Guideline

Transforming theoretical frameworks into practical applications.

Introduction

Welcome to the NEURAL COMPUTATION information hub, where our guidelines provide a wealth of knowledge about the journal’s focus and academic contributions. This page includes an extensive look at the aims and scope of NEURAL COMPUTATION, highlighting trending and emerging areas of study. We also examine declining topics to offer insight into academic interest shifts. Our curated list of highly cited topics and recent publications is part of our effort to guide scholars, using these guidelines to stay ahead in their research endeavors.
LanguageEnglish
ISSN0899-7667
PublisherMIT PRESS
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 1995 to 2024
AbbreviationNEURAL COMPUT / Neural Comput.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE ROGERS ST, CAMBRIDGE, MA 02142-1209

Aims and Scopes

The journal NEURAL COMPUTATION focuses on advancing the understanding of neural computation through theoretical and practical contributions that bridge neuroscience and artificial intelligence. It emphasizes novel approaches, models, and algorithms that mimic or are inspired by biological neural systems.
  1. Neural Network Theory and Models:
    Research in this area encompasses the theoretical foundations and mathematical models of neural networks, including spiking neural networks, deep learning architectures, and their dynamics.
  2. Biologically-Inspired Computing:
    This scope includes studies that draw inspiration from biological systems to develop computational models, exploring concepts such as synaptic plasticity, neural coding, and brain-like architectures.
  3. Machine Learning and Optimization Techniques:
    Focus on the development of new algorithms and optimization techniques applicable to neural networks and machine learning, including reinforcement learning, variational inference, and Bayesian methods.
  4. Data-Driven Neuroscience:
    Research that applies machine learning techniques to analyze and interpret neural data, such as fMRI, EEG, and other neuroimaging modalities, to derive insights into brain function.
  5. Cognitive Neuroscience Applications:
    Exploration of how neural computation can inform and enhance understanding of cognitive processes, including perception, memory, decision-making, and learning.
  6. Neuroinformatics and Computational Neuroscience:
    Developments in computational models that simulate biological neural systems, aiming to provide insights into neural mechanisms and functions.
Recent publications in NEURAL COMPUTATION indicate a dynamic evolution of research themes, highlighting areas that are gaining traction and emerging as significant fields of inquiry.
  1. Adversarial Robustness and Security in Neural Networks:
    There is a growing emphasis on enhancing the robustness of neural networks against adversarial attacks, reflecting the increasing relevance of security in AI applications.
  2. Integration of Neuroscience and AI:
    A notable trend is the intersection of neuroscience research with AI development, where insights from biological systems inform the design of more efficient algorithms and models.
  3. Spiking Neural Networks and Neuromorphic Computing:
    Research into spiking neural networks and neuromorphic computing architectures is on the rise, focusing on energy-efficient computations that mimic brain activity.
  4. Explainable AI and Interpretability:
    There is an increasing interest in making neural network models more interpretable and explainable, addressing concerns about the black-box nature of deep learning.
  5. Multimodal Learning and Integration:
    Emerging themes include the integration of multiple data types (e.g., visual, auditory, sensory) to create more holistic models of cognition and perception.
  6. Dynamic and Adaptive Learning Systems:
    Research is trending towards systems that can adaptively learn in changing environments, reflecting the need for models that can generalize across different contexts.

Declining or Waning

In recent years, certain themes within NEURAL COMPUTATION have shown a decline in prominence, reflecting shifts in research focus and emerging methodologies.
  1. Traditional Neural Network Architectures:
    Research on older neural network architectures, such as simple feedforward networks, appears to be waning as the field shifts towards more complex and biologically plausible models.
  2. Overly Theoretical Approaches:
    There has been a noticeable decrease in purely theoretical papers that do not incorporate empirical validation or practical applications, as researchers increasingly seek tangible implications for neuroscience and AI.
  3. Basic Image Processing Applications:
    The focus on basic image processing tasks using neural networks has diminished, with a trend towards more complex applications involving higher-level cognitive functions and multimodal data.

Similar Journals

NEUROSCIENCE RESEARCH

Unveiling the Mysteries of the Mind
Publisher: ELSEVIER IRELAND LTDISSN: 0168-0102Frequency: 12 issues/year

NEUROSCIENCE RESEARCH, published by Elsevier Ireland Ltd, is a leading journal in the field of neuroscience, with a notable reputation for disseminating high-quality research that spans a variety of topics within the discipline. With an ISSN of 0168-0102 and an E-ISSN of 1872-8111, this journal serves as a vital platform for both established researchers and emerging voices in the field. Ranking in the Q2 quartile in both Medicine and Neuroscience categories, it has been recognized as a reliable source of innovative findings since its inception in 1984, with continuous publication through 2024. Although it does not currently offer Open Access options, the journal is indexed in Scopus, holding a significant position at Rank #48/113 in General Neuroscience, reflecting its contribution to advancing the understanding of neural mechanisms across various contexts. With its address anchored in Ireland, NEUROSCIENCE RESEARCH plays an essential role in bridging scientific inquiry and practical applications, making it an indispensable resource for researchers, professionals, and students dedicated to the burgeoning field of neuroscience.

Cognitive Neuroscience

Transforming Research into Cognitive Breakthroughs
Publisher: ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTDISSN: 1758-8928Frequency: 4 issues/year

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.

Frontiers in Systems Neuroscience

Unlocking the secrets of neural systems.
Publisher: FRONTIERS MEDIA SAISSN: Frequency: 1 issue/year

Frontiers in Systems Neuroscience is a premier open-access journal published by FRONTIERS MEDIA SA, dedicated to advancing the understanding of the complex systems that underpin neural function and behavior. Established in 2007 and based in Switzerland, this journal has gained recognition for its rigorous peer-reviewed articles that contribute significantly to the fields of Cellular and Molecular Neuroscience, Cognitive Neuroscience, and Developmental Neuroscience. As of 2023, it proudly holds a Q2 ranking in several neuroscience categories, reflecting its high impact and relevance in the academic community. The journal is accessible to researchers, professionals, and students worldwide, providing a platform for innovative research while promoting collaborative scientific dialogue. With a commitment to open access, Frontiers in Systems Neuroscience ensures that groundbreaking findings are readily available to enhance knowledge sharing across the globe. This makes it an essential resource for anyone looking to stay at the forefront of neuroscience research.

Frontiers in Behavioral Neuroscience

Innovating the Study of Mind and Neural Processes.
Publisher: FRONTIERS MEDIA SAISSN: 1662-5153Frequency: 1 issue/year

Frontiers in Behavioral Neuroscience is a distinguished journal published by FRONTIERS MEDIA SA, specializing in the intricate relationship between behavior and the underlying neural processes. Established in 2007, this Open Access journal, based in Switzerland, aims to disseminate high-quality, peer-reviewed research that spans both Behavioral and Cognitive Neuroscience, as well as Neuropsychology and Physiological Psychology. With an impressive ranking in the top quartiles of these categories—Q2 in Behavioral and Cognitive Neuroscience and Q1 in Neuropsychology—this journal plays a pivotal role in advancing the understanding of complex behavioral phenomena through a neuroscientific lens. The journal's commitment to open accessibility ensures that groundbreaking findings are available to a wide audience, facilitating collaboration and innovation within the scientific community. As the field continues to evolve, Frontiers in Behavioral Neuroscience remains at the forefront, supporting researchers, professionals, and students alike in their pursuit of knowledge and understanding in this dynamic discipline.

JOURNAL OF COGNITIVE NEUROSCIENCE

Bridging neuroscience and cognition with groundbreaking research.
Publisher: MIT PRESSISSN: 0898-929XFrequency: 12 issues/year

Welcome to the JOURNAL OF COGNITIVE NEUROSCIENCE, a premier publication in the field of cognitive neuroscience, published by the esteemed MIT PRESS. Since its inception in 1989, this journal has been at the forefront of advancing our understanding of the neural mechanisms underlying cognitive processes, boasting an impressive convergence period through 2024. With its Q1 ranking in the 2023 cognitive neuroscience category, it stands out among 115 peers, indicating its critical role in shaping contemporary research. The journal offers a comprehensive array of research articles, reviews, and methodologies aimed at researchers, professionals, and students alike, facilitating the exploration of complex cognitive functions. While not an open-access journal, it provides essential insights and significant contributions to the neuroscience community, making it an invaluable resource for anyone keen on delving into the intricacies of the human brain.

Neural Network World

Pioneering Research at the Intersection of Technology and Mind
Publisher: ACAD SCIENCES CZECH REPUBLIC, INST COMPUTER SCIENCEISSN: 1210-0552Frequency: 6 issues/year

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.

TRENDS IN NEUROSCIENCES

Elevating Standards in Neuroscience Scholarship
Publisher: CELL PRESSISSN: 0166-2236Frequency: 12 issues/year

TRENDS IN NEUROSCIENCES, published by CELL PRESS, is a leading journal in the field of neuroscience, offering cutting-edge insights and important developments in the rapidly evolving landscape of brain research. With an impressive Impact Factor and ranking in the top quartile (Q1) of the category for Neuroscience (miscellaneous), it is positioned as a vital resource for researchers and professionals seeking to stay abreast of the latest discoveries and trends from 1978 to the present. Specifically ranked #3 out of 113 in General Neuroscience by Scopus, this journal promotes the interdisciplinary exchange of ideas and knowledge, making it an essential platform for students and experienced scholars alike. Although it is not an Open Access journal, its value lies in its rigorous peer-review process and commitment to maintaining the highest standards of academic integrity. By continuing to explore the complexities of neural processes and behavior, TRENDS IN NEUROSCIENCES plays a crucial role in shaping the future of neuroscience research and education.

Cognitive Computation and Systems

Fostering Collaboration in Cognitive Computation and Systems.
Publisher: WILEYISSN: Frequency: 4 issues/year

Cognitive Computation and Systems is an innovative open-access journal published by Wiley, dedicated to advancing the fields of Artificial Intelligence, Cognitive Neuroscience, and Computer Science Applications. Based in the United Kingdom, this journal has established itself as a key resource for researchers, students, and professionals alike since its inception in 2019. With a focus on the convergence of cognitive theories and computational methodologies, Cognitive Computation and Systems aims to publish high-quality research that bridges holistic cognitive processing with algorithmic design. Although the journal is currently categorized in the lower quartiles of its fields, it provides a unique platform for disseminating pioneering ideas that can drive the vital intersection of computer vision, pattern recognition, and psychology. Scholars can take advantage of its open-access model, ensuring that research findings are freely available, thus promoting wider knowledge sharing and collaboration within these rapidly evolving domains. With its ambitious scope and commitment to quality, this journal is poised to make a significant impact in its respective fields.

NATURE REVIEWS NEUROSCIENCE

Advancing the frontiers of neurological science.
Publisher: NATURE PORTFOLIOISSN: 1471-003XFrequency: 12 issues/year

NATURE REVIEWS NEUROSCIENCE is a prestigious journal published by NATURE PORTFOLIO, renowned for its commitment to advancing the field of neuroscience. Since its inception in 2000, it has become a significant platform for disseminating comprehensive reviews and insights that shape the understanding of neurological science. With an impressive Scopus ranking of #2 out of 113 in the General Neuroscience category, this journal consistently engages the top 2% of researchers and professionals in the field, underscoring its impactful contributions. The journal not only provides a forum for high-quality reviews but also bridges emerging research trends with established knowledge, fostering a robust discourse among scholars and practitioners. As a Q1 journal in Neuroscience (miscellaneous), NATURE REVIEWS NEUROSCIENCE offers invaluable access to critical research developments, making it an essential resource for students, researchers, and professionals aiming to stay at the forefront of neuroscience advancements. Explore the latest findings and engage with a global community dedicated to unraveling the complexities of the nervous system.

JOURNAL OF COMPUTATIONAL NEUROSCIENCE

Transforming Data into Neural Understanding
Publisher: SPRINGERISSN: 0929-5313Frequency: 6 issues/year

JOURNAL 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.