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Neural Computation : Impact Factor & More

eISSN: 1530-888XpISSN: 0899-7667

Aims and Scope of Neural Computation

Neural Computation is a monthly peer-reviewed scientific journal covering all aspects of neural computation, including modeling the brain and the design and construction of neurally-inspired information processing systems. It was established in 1989 and is published by MIT Press. The editor-in-chief is Terrence J. Sejnowski (Salk Institute for Biological Studies). According to the Journal Citation Reports, the journal has a 2014 impact factor of 2.207. Less

Key Metrics

CiteScore
6.9
H-Index
174
Impact Factor
< 5
SJR
Q1Cognitive Neuroscience
SNIP
1.9
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Topics Covered on Neural Computation

Neural Computation Journal Specifications

Overview
Publisher MIT PRESS
Language English
Frequency Monthly
General Details
LanguageEnglish
FrequencyMonthly
Publication Start Year1989
Publisher URLVisit website
Website URLVisit website
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Recently Published Papers in Neural Computation

Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination Learning.
  • 30 Apr 2026
  • Neural computation
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment.
  • 23 Apr 2026
  • Neural computation
Graphon Signal Processing for Spiking and Biological Neural Networks.
  • 23 Apr 2026
  • Neural computation
Global Stability of a Hebbian/Anti-Hebbian Network for Principal Subspace Learning.
  • 23 Apr 2026
  • Neural computation
Autonomous Learning With High-Dimensional Computing Architecture Similar to Von Neumann's.
  • 23 Apr 2026
  • Neural computation
Domain Adaptation With Additional Features via Label-Aware and Graph-Based Fused Gromov-Wasserstein Optimal Transport.
  • 23 Apr 2026
  • Neural computation
Signal-Dependent Planning Noise Reduces Task Interference by Assisting in the Formation of Stable Motor Primitives in a Neural Network Model of Muscle Coordination Learning.
  • 30 Apr 2026
  • Neural computation
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment.
  • 23 Apr 2026
  • Neural computation
Graphon Signal Processing for Spiking and Biological Neural Networks.
  • 23 Apr 2026
  • Neural computation
Global Stability of a Hebbian/Anti-Hebbian Network for Principal Subspace Learning.
  • 23 Apr 2026
  • Neural computation
Autonomous Learning With High-Dimensional Computing Architecture Similar to Von Neumann's.
  • 23 Apr 2026
  • Neural computation
Domain Adaptation With Additional Features via Label-Aware and Graph-Based Fused Gromov-Wasserstein Optimal Transport.
  • 23 Apr 2026
  • Neural computation

FAQs on Neural Computation