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Journal of Neural Information Processing

ISSN 2522-6517

Aims & Scope

The journal promotes and expedites the dissemination of new research results.There is an exciting and large volume of research activity in the field worldwide.The goal of this journal is to provide a platform for academicians and scientists all over the world to share, promote, and discuss various new issues and developments in different areas of neural information processing.

All manuscripts must be prepared in English and are subject to a rigorous and fair peer-review process. Generally, accepted papers will appear online within 3 weeks followed by printed hard copy. The journal publishes original papers including but not limited to the following fields:

connectionist theory
cognitive science
mathematical modeling of neural systems
neurodynamic analysis
neurodynamic optimization
adaptive dynamic programming
embedded neural systems
probabilistic and information-theoretic methods
principal and independent component analysis
hybrid intelligent systems
supervised learning
unsupervised learning
reinforcement learning
deep learning
brain imaging
support vector machines
kernel methods
autonomous mental development
data mining
pattern recognition
time series analysis
image and signal processing
intelligent control
transportation systems
intrusion detection and fault diagnosis
data mining
information security
financial engineering
business intelligence
Bayesian networks
sensory perception
motor control
social cognition
computational psychiatry
brain-machine interface
big data analysis
biomedical engineering
neuromorphic hardware implementation

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