Network: Computation in Neural Systems

Aims & Scope

Network: Computation in Neural Systems is devoted to publishing theoretical neuroscience research that is supported by experimental data with a focus on new technologies.

We encourage authors and researchers to submit their work on: Neural network computer models on brain function.

Analyses on experimentally recorded neural and synaptic dynamics supporting brain function.

Neural and synaptic mechanisms supporting psychiatric and neurological disorders.

Emergent neural network dynamics supporting psychiatric and neurological disorders.

Neural network approaches to artificial intelligence and machine consciousness Experimental and theoretical investigations on the neurobiological basis of consciousness.

Applications for biologically-inspired neural networks in artificial intelligence.

We also welcome submissions on neural network data analyses and biologically motivated neural modeling perspectives.

Articles must contain significant mathematical support.

Network: Computation in Neural Systems applies, but is not limited to, the following fields: Neurobiologists Psychologists Cognitive students Theoretical Neuroscience Artificial Intelligence/Consciousness Applied Mathematics

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.6
2024	1.10

SJR (SCImago Journal Rank)

Year	Value
2024	0.326

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	62

Journal Rank

Year	Value
2024	15863

Journal Citation Indicator

Year	Value
2024	72

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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

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in 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.

• A simple white noise analysis of neuronal light responses

  Citation: 648

  Authors: E. J.

• A review of methods for spike sorting: the detection and classification of neural action potentials

  Citation: 603

  Authors: Michael S

• The statistics of natural images

  Citation: 562

  Authors: Daniel L

• A review of methods for spike sorting: the detection and classification of neural action potentials

  Citation: 488

  Authors: Michael

• Natural image statistics and efficient coding

  Citation: 440

  Authors: B A, D J

• Could information theory provide an ecological theory of sensory processing?

  Citation: 416

  Authors: Joseph J

• Statistics of natural image categories

  Citation: 400

  Authors: Antonio, Aude

• Redundancy reduction revisited

  Citation: 366

  Authors: H.

• Probable networks and plausible predictions — a review of practical Bayesian methods for supervised neural networks

  Citation: 353

  Authors: David J C

• Local feature analysis: a general statistical theory for object representation

  Citation: 291

  Authors: Penio, Joseph

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