This workshop is a follow up on the successful workshop organized during the 2019 IEEE Conference on Decision and Control, Nice, France. Also, it builds on various dedicated invited session and a previous workshop sponsored by NSF titled "Workshop on Brain Dynamics and Neurocontrol Engineering'', which took place at the Washington University in St. Louis from June 25-27, 2017.

We believe that the ``Neurotechnologies and closed-loop control of neurodynamics'' workshop is a topic motivated by remarkable developments of models, tools, and experiments aimed at understanding neural circuitry and brain dynamics over the recent years. Among the recent advances, dynamical models have been proposed and increasingly sought to describe brain activity and ultimately develop systematically designed and theoretically informed intervention techniques to treat neurocognitive disorders such as Parkinson's disease, epilepsy, spinal cord injury, and major depressive disorder.

Given the dynamical, uncertain, and large-scale nature of brain processes, control theorists and engineers have the unique opportunity and capabilities to contribute to this important research effort demanded by the BRAIN Initiative. Indeed, the demand for these tools is evident from the latest Technology Roadmap White Paper produced by the IEEE Brain Society on November 2019 titled ``Future Neural Therapeutics: Closed-Loop Control of Neural Activity''.

The ``Neurotechnologies and closed-loop control of neurodynamics'' workshop will bring together researchers from different backgrounds to demonstrate how the theory of dynamical systems and control engineering successfully enables new insights in neuroscience and emerging neurotechnologies. More specifically, the scope of the talks and tutorial lectures covers

• mathematical modeling of neurodynamics at different spatio-temporal scales;

• theoretical and computational methods of analyzing the dynamics of these models and how they relate to behavior;

• state of the art neurotechnologies for sensing and actuation;

• the motor system, brain-machine interfaces, and rehabilitation;

• identification of pathological activity in models of neurodynamics and the design of closed-loop control strategies for mitigating them; and

• synchronization and synchronizability of global brain activity.

Lastly, we propose to not only introduce the participants to the basics of neuroscience tools and methods, but also present and address some of the cutting edge problems in this research area. Also, we seek to raise more ideas, topics, and questions for future research within the controls community and beyond to boost interdisciplinary research and further push the borders of knowledge.

A healthy mixture of theoretically oriented talks with more applied ones is proposed, thus maximizing the relevant audience and attracting new researchers to this exciting and emerging interdisciplinary area, creating a larger yet focused community.