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Electroencephalography and surface electromyography are notoriously cumbersome technologies. A typical setup may involve bulky electrodes, dandling wires, and a large amplifier unit. The wide adaptation of these technologies in numerous applications has been accordingly fairly limited. Thanks to the availability of printed electronics technologies, it is now possible to dramatically simplify these techniques. Elegant electrode arrays with unprecedented performances can be readily produced, eliminating the need to handle multiple electrodes and wires. Specifically, in this presentation I will discuss how printed electronics can improve signal transmission at the electrode-skin interface, facilitate electrode-skin stability, and enhance user convenience during electrode placement while achieving prolonged use. Customizing electrode array designs and implementing blind source separation methods, can also improve recording resolution, reduce variability between individuals and minimizing signal cross-talk between nearby electrodes. Finally, I will outline several important applications in the field of neuroscience and how each can benefit from the convergence of electrophysiology and printed electronics.

In recent years, a growing body of scientific and clinical evidence points to the effectiveness of mental imagery (MI) in enhancing motor and non-motor aspects of performance in a variety of populations, including athletes, dancers, and people with neurodegenerative conditions, such as Parkinsonʼs disease (PD). However, MI’s mechanisms of effect are not fully understood to date. Further, MI’s best practices and potential benefits from implementing such approaches in sports and neurorehabilitation are in its infancy. This talk will focus on three MI-based approaches to movement retraining I study―motor imagery practice, dynamic neurocognitive imagery, and Gaga movement language―that use a variety of neuro-cognitive elements, including problem-solving, proprioception, and internally guided movement, along with anatomical and metaphorical imagery, self-touch, and self-talk. I will discuss a brief background of MI and its beneficial effects on human motor and cognitive performance, followed by a review of my research into MI for PD rehabilitation and dance training. I will specifically discuss our work on MI and its association with body schema in people with PD. Lastly, future directions into basic, transitional, and clinical research will be discussed.

The management of harmful species, including invasive species, pests, parasites, and diseases, is a major global challenge. Harmful species cause severe damage to ecosystems, biodiversity, agriculture, and human health. In particular, the management of harmful species often requires cooperation among multiple agents, such as land‐owners, agencies, and countries. Each agent may have incentives to contribute less to the treatment, leaving more work for other agents, which may result in inefficient treatment. A central question is, therefore, how should a policymaker allocate the treatment duties among the agents? Specifically, should the agents work together in the same area, or should each agent work only in a smaller area designated just for her/him? I will present a dynamic game-theoretic model, where a Nash equilibrium corresponds to a possible set of contributions that the agents could adopt over time. In turn, the allocation by the policymaker determines which of the Nash equilibria could be adopted, which will allow us to compare the outcome of various allocations. I will show that fewer agents abate the harmful species population faster, but multiple agents can better control the population to keep its density lower. This is proven in a general theorem and demonstrated numerically for two case studies. Therefore, following an outbreak, the better policy would be to split and assign one or a few agents to treat the species in a given location; but if controlling the harmful species population at some low density is needed, the agents should work together in all the locations.