Dynamics and Control in Neural and Neuro-inspired Systems

A scientific quest of extraordinary interest and importance is to understand in a mathematically and computationally rigorous manner how neural systems perform their functions. This grand challenge is fundamentally interdisciplinary, integrating dynamics, control theory, computational neuroscience, and artificial intelligence. This special issue aims to foster a cross-disciplinary discourse among these fields with the general objective of developing a rigorous framework for neural and neuro-inspired systems.



The goal of the special issue is to explore from a control and dynamical systems perspective how neural systems perform their functions, including but not limited to decision making, learning, memory, regulation, internal model identification, sensorimotor control, and attention. We consider models, methods, analyses, and theories that provide insight on these neural functions and which may inform next generation architectures and algorithms.



We invite contributions in areas including, but not limited to: neuromorphic control, energy efficient neural computations, flexibility and robustness in neural systems, spiking control systems, modeling and control of brain function in health and disease; central pattern generators, adaptive and optimal control in neuroscience, neural rhythms and synchronization, analysis of bio-physical models, sensorimotor control and regulation, data-driven control of neural systems, state estimation, and neurostimulation. Studies across all spatio-temporal scales are within scope.

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
• FAIR² Data
• General Commentary
• ... 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
• FAIR² Data
• General Commentary
• Hypothesis and Theory
• Methods
• Mini Review
• Opinion
• Original Research
• Perspective
• Review
• Systematic Review
• Technology and Code

Keywords: control theory in neuroscience, dynamical systems in neuroscience, neuromorphic computing, computational and systems neuroscience, neural processing, neuro-inspired control system, adaptive and learning systems

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.