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Please consider submitting your manuscript to the special issue of
"Modeling and Analysis of Data-Driven Systems through
Computational Neuroscience" with Hindawi's Computational
Intelligence and Neuroscience.
Theme of this special issue:
Artificial intelligence(AI)based application systems are becoming
the mainstream in the software industry and application domains
such as computational neuroscience, bioinformatics, and
healthcare. Recent advances in big data generation and management
have created an avenue for decision makers to utilize these huge
volumes of data for different purposes and analyses. AI-based
application developers have long utilized conventional machine
learning techniques to design better user interfaces and
vulnerability predictions. However, with the advancement of deep
learning-based and neural-based networks and algorithms,
researchers are able to explore and learn more about data and
their exposed relationships or hidden features. This new trend of
developing data-driven application systems seeks the adaptation of
computational neural network algorithms and techniques in many
application domains, including software systems, cyber security,
human activity recognition, and behavioral modeling. As such,
computational neural networks algorithms can be refined to address
problems in data-driven applications.
This Special Issue aims to foster machine and deep learning
approaches to data-driven applications, in which data governs the
behavior of applications. Original research and review articles
that consider how to model and build data-driven applications
using computational neuroscience are encouraged. More
specifically, it is of interest to learn how neuron networks can
represent data-driven applications and their behaviors in order to
extract key features. The Special Issue will enable researchers
from academia and industry to share innovative applications and
creative solutions to common problems when modeling neural-based
applications in computational neuroscience and neuroengineering.
Topics of Interest:
Potential topics include but are not limited to the following:
- Neural programming and coding in data-driven systems using
machine and deep learning
- Attention and learning of data-driven systems using neural
memory networks
- Neural-based mathematical formulation of information and data
using machine and deep learning
- Human perception, cognition, and decision making through neural
networks
- Human activity recognition through deep neural modeling
- Modeling and prediction of human behavior using computational
neuroscience techniques
- Modeling human-computer interactions through neural networks
- Modeling humanoid intelligent bots and mimicking human behavior
using computational neuroscience techniques
For more information regarding this special issue, please visit
the following link:
https://www.hindawi.com/journals/cin/si/696425/
Sincerely,
Akbar Namin, The lead editor of this special issue.