Nitish Thakor Research Poster Presentations:
NTH congratulates our Technical Director, Nitish Thakor, on the presentation of research posters he co-authored at the 2024 IEEE EMBS Conference this week:
      Separation of Fascicles for Motor Unit Separability in Reinnervated Muscles for Neuroprosthesis Application
      Extended Recordings of Somatosensory-Evoked High-Frequency Oscillations as a Measurement of Arousal Levels in Rats
      Comparison of Quantitative EEG Features for the Prediction of Neurological Recovery After Cardiac Arrest in Rodents
      Synergistic Dynamics of Heart Rate Variability and Systolic Blood Pressure Revealed by Dual Poincaré Plot Analysis
      Channel Selection and Wavelet Transformation-Based Data Compression Preserve Motor Unit Information
      Somatosensory Evoked Potentials from the Ears
 
Learn more about the IEEE EMBS conference here:
Paolo Bonato Co-Chair Sessions:
NTH is proud to share that Paolo Bonato, co-PI of our partner organization CINTA, will be co-hosting a sessions on Brain-Computer & Brain-Machine Interfaces, Movement Disorders and Rehabilitation, Signal Processing in Brain Computer Interface, and Neural Signal Processing at the 2024 IEEE EMBS Conference in Orlando, Florida this Wednesday.
Learn more about the IEEE EMBS conference here:
Sri Sarma Research Poster Presentations:
NTH congratulates our Executive Director, Sri Sarma, on the presentation of research posters she co-authored at the 2024 IEEE EMBS Conference this week:
      Localizing the Seizure Onset Zone with Bayesian Learning During iEEG Monitoring
      Tracking Progression of Schizophrenia Using a Resting-State fMRI Biomarker of Regional Interactions in the Brain Network
      A Resting-State fMRI Biomarker for Autism Spectrum Disorder
      Scalp EEG Correlates of Anti-Seizure Medications in Adult Epilepsy
      Exploration of a Network-Based EEG Marker for Major Depressive Disorder
      Patient-Specific Electrical Stimulation to Effectively Suppress Seizures Using a Data-Driven Dynamical Network Model
Learn more about the IEEE EMBS conference here:
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: