Sri Sarma’s Wednesday Presentation:
NTH is proud to share that our executive director, Sri Sarma, will be presenting on Advancing Neural Technologies Through Machine Learning at the 2024 IEEE EMBS Conference in Orlando, Florida this Wednesday.
The advent of machine learning has led to transformative changes across a myriad of scientific
disciplines, including the field of neural engineering. This special session aims to explore the
intersection between machine learning methodologies and neural engineering applications.
Specifically, it will provide a platform for discussing how machine learning algorithms are increasingly
utilized to refine, adapt, and innovate models of sensorimotor control, brain-machine interfaces,
neuroprosthetics, and neuromodulation technologies. The session will delve into state-of-the-art
techniques, identify prevailing challenges, and elucidate directions for future research. By bringing
together leading researchers from both the machine learning and neural engineering communities,
this session aims to foster interdisciplinary dialogue and collaboration, thereby accelerating
advancements in neural technologies and processing. Examples of topics include, but are not limited
to: – Machine Learning Algorithms for Brain-Machine Interfaces – Optimization of Coils and Antennas
for Wireless Neural Implants – Neural Network Models of Motor Control, Sensory Processing and
Cognition – Data-driven Approaches in Computational Neuroscience – Neural Explainability and
Interpretability in Computational Neuroscience – Machine Learning Approaches to Neurological
Disorder Diagnosis Our session aligns seamlessly with several thematic pillars of EMBC,
encompassing areas like neural engineering, signal processing, computational systems, and
biomedical sensors.
Learn more about the IEEE EMBS conference here:
