Neural Computation

Aims & Scope

Neural Computation is uniquely positioned at the crossroads between neuroscience and TMCS and welcomes the submission of original papers from all areas of TMCS, including: Advanced experimental design; Analysis of chemical sensor data; Connectomic reconstructions; Analysis of multielectrode and optical recordings; Genetic data for cell identity; Analysis of behavioral data; Multiscale models; Analysis of molecular mechanisms; Neuroinformatics; Analysis of brain imaging data; Neuromorphic engineering; Principles of neural coding, computation, circuit dynamics, and plasticity; Theories of brain function.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	2.1
2024	2.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.829

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	183

Journal Rank

Year	Value
2024	6441

Journal Citation Indicator

Year	Value
2024	806

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Medline

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Arts and Humanities and Neuroscience, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Long Short-Term Memory

  Citation: 72839

  Authors: Sepp, Jürgen

• A Fast Learning Algorithm for Deep Belief Nets

  Citation: 12452

  Authors: Geoffrey E., Simon, Yee-Whye

• Backpropagation Applied to Handwritten Zip Code Recognition

  Citation: 8653

  Authors: Y., B., J. S., D., R. E., W., L. D.

• An Information-Maximization Approach to Blind Separation and Blind Deconvolution

  Citation: 7054

  Authors: Anthony J., Terrence J.

• Nonlinear Component Analysis as a Kernel Eigenvalue Problem

  Citation: 5927

  Authors: Bernhard, Alexander, Klaus-Robert

• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation

  Citation: 5681

  Authors: Mikhail, Partha

• A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

  Citation: 4280

  Authors: Yong, Xiaosheng, Changhua, Jianxun

• Estimating the Support of a High-Dimensional Distribution

  Citation: 4094

  Authors: Bernhard, John C., John, Alex J., Robert C.

• Learning to Forget: Continual Prediction with LSTM

  Citation: 4068

  Authors: Felix A., Jürgen, Fred

• Bayesian Interpolation

  Citation: 3381

  Authors: David J. C.

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