About this Research Topic

Background

This research topic aims to showcase the application of control science methods in neuroscience research and the inspiration neuroscience provides for modern control theory and artificial intelligence.

The central theme of this issue encompasses the utilization of various interdisciplinary approaches in neuroscience research. This includes, but is not limited to, methods such as nonlinear system dynamics, control theory, artificial neural networks, machine learning, and more. Additionally, it delves into the principles of perception, behavior, neural activity, decision mechanisms, and their contributions to fields such as engineering and artificial intelligence.

This issue extensively explores the mutual promotion between control science methods and neuroscience. The topics covered include but are not limited to:

- Network Topology Analysis of Neural Networks.
1) Investigate the structural aspects of neural networks by applying methods from control science to analyze network topology
2) Analyze connectivity patterns, clustering, and node centrality to understand neural communication pathways
3) Explore how network topology influences neural function and information processing

- Functional Connectivity Modeling:
1) Utilize control science techniques to model interactions between different brain regions
2) Study how activity changes in one region affect others, employing complex network and nonlinear system analysis
3) Understand the dynamics of information flow from the micro-scale of synapses to the macro-scale of brain networks

- Adaptive Control Mechanisms:
1) Examine how adaptive control mechanisms contribute to neural plasticity and adaptability
2) Investigate the brain's ability to self-regulate and adjust connectivity patterns in response to external stimuli or environmental changes
3) Explore models of learning and memory from a control systems perspective

- Control-Enhanced Perception and Decision Mechanisms:
1) Integrate control science principles into the study of perception, behavior, and decision-making processes
2) Analyze how enhancing the controllability of neural processes impacts the accuracy and efficiency of decisions
3) Shed light on the dynamic interplay between control mechanisms and cognitive functions

- Bio-inspired Control Systems and Artificial Intelligence
1) Develop control algorithms inspired by neural processes for applications in robotics and autonomous systems
2) Apply principles learned from neural control mechanisms to improve artificial neural networks and machine learning models
3) Explore the cross-pollination between biological systems and engineered solutions

- Neuromodulation and Therapeutic Control Strategies
1) Investigate control-based interventions (e.g., deep brain stimulation) for neurological disorders
2) Model the effects of neuromodulation techniques using control theory
3) Contribute to the development of personalized medicine approaches through control science

We hope this research topic becomes a valuable resource for researchers and practitioners in the fields of control science, neuroscience, and other interdisciplinary studies. These papers offer insights into various interdisciplinary technologies applicable to these domains, emphasizing the significance of collaboration between neuroscientists and engineers in addressing real-world challenges and overcoming research hurdles.

Article types and fees

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• ... View all formats

Articles that are accepted for publication by our external editors following rigorous peer review incur a publishing fee charged to Authors, institutions, or funders.

Article types

This Research Topic accepts the following article types, unless otherwise specified in the Research Topic description:

• Brief Research Report
• Case Report
• Clinical Trial
• Community Case Study
• Conceptual Analysis
• Data Report
• Editorial
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Registered Report
• Review
• Systematic Review
• Technology and Code

Keywords: artificial neural networks, complex networks, interdisciplinary neural science, perception neuroscience

Important note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.

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