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neural computation

ISSN 1530-888X· EN

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38.8 / 100
Journament Score
Poor
Ranked #3,242 of 29,297 scored journals (34,015 indexed)
10 Articles
Scores higher than 88.9% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name neural comput
Abbreviated Name neural comput
ISSN 1530-888X

Quality Profile

6 of 12 dimensions measured
Engagement 30.9
Timeliness 0.0
Diversity 34.9
Innovation 61.5
Community Impact 4.3
Content Distribution 92.8
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

6 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 6 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.9 30.4
Accessibility — 23.1
Timeliness 0.0 3.0
Diversity 34.9 26.1
Innovation 61.5 24.1
Community Impact 4.3 4.2
Content Distribution 92.8 89.2
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

Publications Per Year

Articles (10)

2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning.
Yao, Xin;Huang, Tianchi;Wu, Chenglei;Zhang, Ruixiao;Sun, Lifeng;
, pp. 1-26
419 views DOI Abstract
2020
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.
Hueber, Thomas;Tatulli, Eric;Girin, Laurent;Schwartz, Jean-Luc;
, pp. 1-30
381 views DOI Abstract
2018
Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators.
Gao, Tingwei;Chai, Yueting;
Vol. 30 , No. 10 , pp. 2833-2854
381 views DOI Abstract
2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model.
Han, Tian;Xing, Xianglei;Wu, Jiawen;Wu, Ying Nian;
, pp. 1-20
365 views DOI Abstract
2018
Dense Associative Memory Is Robust to Adversarial Inputs.
Krotov, Dmitry;Hopfield, John;
, pp. 1-17
365 views DOI Abstract
2019
Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction.
Weissenberger, Felix;Gauy, Marcelo Matheus;Zou, Xun;Steger, Angelika;
, pp. 1-14
351 views DOI Abstract
2019
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.
Tseng, Po-He;Urpi, Núria Armengol;Lebedev, Mikhail;Nicolelis, Miguel;
Vol. 31 , No. 6 , pp. 1085-1113
350 views DOI Abstract
2019
Capturing the Forest But Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics.
Shaw, Saurabh Bhaskar;Dhindsa, Kiret;Reilly, James P;Becker, Suzanna;
, pp. 1-35
349 views DOI Abstract
2018
A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation.
D'Angelo, Robert;Wood, Richard;Lowry, Nathan;Freifeld, Geremy;Huang, Haiyao;Salthouse, Christopher D;Hollosi, Brent;Muresan, Matthew;Uy, Wes;Tran, Nhut;Chery, Armand;Poppe, Dorothy C;Sonkusale, Sameer;
Vol. 30 , No. 9 , pp. 2439-2471
328 views DOI Abstract
2019
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits.
Su, Lili;Chang, Chia-Jung;Lynch, Nancy;
, pp. 1-39
276 views DOI Abstract
2020
Evaluating the Potential Gain of Auditory and Audiovisual Speech-Predictive Coding Using Deep Learning.
Hueber, Thomas;Tatulli, Eric;Girin, Laurent;Schwartz, Jean-Luc;
, pp. 1-30
381 views DOI Abstract
2019
Decoding Movements from Cortical Ensemble Activity Using a Long Short-Term Memory Recurrent Network.
Tseng, Po-He;Urpi, Núria Armengol;Lebedev, Mikhail;Nicolelis, Miguel;
Vol. 31 , No. 6 , pp. 1085-1113
350 views DOI Abstract
2019
Replicating Neuroscience Observations on ML/MF and AM Face Patches by Deep Generative Model.
Han, Tian;Xing, Xianglei;Wu, Jiawen;Wu, Ying Nian;
, pp. 1-20
365 views DOI Abstract
2019
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits.
Su, Lili;Chang, Chia-Jung;Lynch, Nancy;
, pp. 1-39
276 views DOI Abstract
2019
Capturing the Forest But Missing the Trees: Microstates Inadequate for Characterizing Shorter-Scale EEG Dynamics.
Shaw, Saurabh Bhaskar;Dhindsa, Kiret;Reilly, James P;Becker, Suzanna;
, pp. 1-35
349 views DOI Abstract
2019
Adversarial Feature Alignment: Avoid Catastrophic Forgetting in Incremental Task Lifelong Learning.
Yao, Xin;Huang, Tianchi;Wu, Chenglei;Zhang, Ruixiao;Sun, Lifeng;
, pp. 1-26
419 views DOI Abstract
2019
Mutual Inhibition with Few Inhibitory Cells via Nonlinear Inhibitory Synaptic Interaction.
Weissenberger, Felix;Gauy, Marcelo Matheus;Zou, Xun;Steger, Angelika;
, pp. 1-14
351 views DOI Abstract
2018
A Computationally Efficient Visual Saliency Algorithm Suitable for an Analog CMOS Implementation.
D'Angelo, Robert;Wood, Richard;Lowry, Nathan;Freifeld, Geremy;Huang, Haiyao;Salthouse, Christopher D;Hollosi, Brent;Muresan, Matthew;Uy, Wes;Tran, Nhut;Chery, Armand;Poppe, Dorothy C;Sonkusale, Sameer;
Vol. 30 , No. 9 , pp. 2439-2471
328 views DOI Abstract
2018
Improving Stock Closing Price Prediction Using Recurrent Neural Network and Technical Indicators.
Gao, Tingwei;Chai, Yueting;
Vol. 30 , No. 10 , pp. 2833-2854
381 views DOI Abstract
2018
Dense Associative Memory Is Robust to Adversarial Inputs.
Krotov, Dmitry;Hopfield, John;
, pp. 1-17
365 views DOI Abstract
Journament Score
38.8/100 · Poor
Ranked #3,242 of 29,297 scored
(34,015 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

38.8/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.9/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

Not yet measured

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

34.9/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

61.5/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

4.3/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

0.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

92.8/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.