11-01, 10:50–12:20 (America/New_York), Music Box (Room 5411)
Navigate the intersection of neuroscience and artificial intelligence as we explore the application of PyTorch-based deep learning models to time series neural data. This illuminating talk will equip researchers, data scientists, and machine learning engineers with the tools and techniques needed to tackle the unique challenges presented by neural data. From preprocessing to model architecture selection, gain actionable insights and hands-on experience that will elevate your data analysis capabilities. Don't miss this opportunity to advance your knowledge in one of the most promising fields of interdisciplinary research.
Objective:
The primary aim of this session is to provide attendees with a comprehensive understanding of how to leverage PyTorch for the analysis of time series neural data, particularly from Brain-Computer Interfaces (BCIs). This is an exciting cross-disciplinary subject that fuses elements of neuroscience, machine learning, and data science.
Audience:
The session is tailored for:
Researchers in neuroscience and data science
Machine learning engineers focusing on time series or neural data
Data scientists interested in the applications of AI in neuroscience
This session will offer a balanced mix of theoretical understanding and hands-on experience designed to make complex subjects accessible.
Key Takeaways:
Acquire skills in preprocessing and analyzing time series neural data from BCIs
Understand the architecture and implementation of PyTorch-based deep learning models tailored for this specific data type
Explore a real-world BCI data set, understanding its challenges and complexities
Gain actionable insights that are immediately applicable in both research and industry settings
No previous knowledge expected
Manuel is a Data Scientist specializing in AI, software development, and Brain-Computer Interfaces (BCIs). With an MSc in Data Science and a background in Psychology from the Bolivian Catholic University, he has navigated through a spectrum of roles in neurotechnology and software development. Passionate about sharing knowledge, he has been a speaker and presenter at various conferences, delving into topics like Big Data, Brain-Computer Interfaces, Neurotechnology, and Neural Data Science.