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 | |
| Language | English |
| Frequency | Monthly |
| Publication Start Year | 1989 |
| Publisher URL | Visit website |
| Website URL | Visit 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
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Graphon Signal Processing for Spiking and Biological Neural Networks.
- 23 Apr 2026
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Global Stability of a Hebbian/Anti-Hebbian Network for Principal Subspace Learning.
- 23 Apr 2026
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Autonomous Learning With High-Dimensional Computing Architecture Similar to Von Neumann's.
- 23 Apr 2026
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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
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