Garden:
Los Angeles, CA, USA
About
The Los Angeles (LA) Garden will be held at the Ming Hsieh Department of Electrical and Computer Engineering (EEB) at the University of Southern California (USC). This event is scheduled to be an in-person gathering, but there will also be an option to broadcast it to all Gardens.
The LA Garden will span across two days. On the first day, we have scheduled a Brainstorm workshop and a Brainsuite Demo. The second day will feature local speakers presenting cutting-edge methods on Deep Neural Networks and Machine learning techniques applied to EEG data.
Furthermore, we are arranging a live stream of the Global Program, allowing anyone interested to join remotely. External attendees are more than welcome to participate, but prior registration will be required for attendance.
Topics
Day 1 / Oct 18: – Reproducible Processing Pipeline – Fundamental EEG/MEG analysis concepts, Brainsuite Overview and demonstration, and Brainstorm Workshop.
Day 2 / Oct 19: – Machine Learning and EEG – Discussions on the current state-of-the-art in the application of machine learning and AI methods to EEG data analysis for both clinical and cognitive neuroscience applications.
Featured Speakers
Arnaud Delorme, Dimitrios Pantazis, Ivan Tashev, Jason da Silva Castanheira, Bin He, Ludovic Bellier, Srikantan Nagarajan, Raymundo Cassani, David Shattuck, Tim Mullen, Maryam Shanechi, Domonique Duncan, Alexander Silva and others.
Tutorials
Day 1:
AM: Overview of the Brainsuite software and demo.
PM: Introduction to EEG/MEG analysis using Brainstorm.
Global Program
Local Program
Registration
Venue
contact
Global program
Local program (Wednesday 18th and Thursday 19th)
Global - Plenary lecture
Local - Lectures
Local - Tutorials
Local - Social Events
Local - Food / Posters
Local - Satellite Event
Local Program details
WEDNESDAY 18th
5:30 – [Global] Reproductible processing pipelines and multiverses
8:30 – Registration & Continental Breakfast
9:15 – Richard Leahy (University of Southern California): Opening of the LA Garden
9:30 – David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
10:15 Coffee Break
10:30 – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
11:00 – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
11:45 – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
12:00 – Lunch Break
12:30–17:30 – Tutorial – Hands-On Brainstorm
Raymundo Cassani (McGill University)
Takfarinas Medani (University of Southern California)
12:30–13:00 Onsite assistance in installing the material for the training session
13:00–13:30 Introduction to Brainstorm (lecture)
13:30–14:35 Loading anatomy and recordings
Set anatomy
Review Raw recordings
Import events
14:35–15:35 Pre-processing
Frequency filters
Artefact detections
Artifact correction with SSP
15:30–15:45 Coffee Break
15:45–16:20 Analysis sensor level
Import recording
Review trials
Trial averages
16:20–16:55 Source estimation
Forward Model (aka Head model)
Noise covariance matrix
Source estimation (from EEG and MEG recording)
16:55–17:15 Analysis source level
Cortex parcellations: Atlases and scouts
Noise covariance matrix
Source estimation (from EEG and MEG recording)
17:30 – Discussion and closing
Note: The reception is canceled, and moved from Wednesday 18th to Thursday 19th.
THURSDAY 19th
5:30 – [Global] Deep Neural Network (DNN) analysis for MEEG data
8:30 – Continental Breakfast
9:00 – 17:30 – [Local] Machine Learning and EEG
Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy
9:00–9:25- Arnaud Delorme (University of California, San Diego): “Machine learning and the BIDS EEG data format”
9:25–9:50- Tim Mullen (Intheon Labs): “Creating Deployable Workflows for EEG Signal Processing and ML/DL Using NeuroPype”
9:50–10:15– Ivan Tashev (Microsoft Research): “Workload estimation using brain- and bio- signals for adaptive training system”
10:15–10:40– Bin He (Carnegie Mellon University): “AI/ML Enhances Dynamic Brain Imaging from EEG/MEG”
Coffee Break (10:40–11:00)
Session 2: Self Supervised Leaning; session chair: Takfarinas Medani
11:00–11:25– Dominique Duncan (University of Southern California): “Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG”
11:25–11:50– Wenhui Cui (University of Southern California): “Neuro-GPT: A Foundation Model Pretrained on Large-Scale EEG Data”
Lunch Break (12:00–13:00)
Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan
13:00–13:30- Alexander Silva (University of California, San Francisco): “A high performance neuroprosthesis for speech decoding and avatar control“
13:30–14:00– Maryam Shanechi (University of Southern California): “AI-powered next-generation neurotechnologies”
14:00–14:30– Ludovic Bellier (University of California, Berkeley) : “Reconstructing Pink Floyd from human auditory cortex”
Panel Discussion
14:40–15:10– Moderator: Shrikanth Narayanan and Kristina Lerman (University of Southern California): “The Role of Foundational Models in Spontaneous and Event Related EEG“
Coffee Break(15:10–15:40)
Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman
15:40–16:05– Srikantan Nagarajan (University of California, San Francisco): “Machine learning algorithms for electromagnetic brain imaging in dementia”
16:05–16:30– Dimitrios Pantazis (Massachusetts Institute of Technology): “Graph representation learning of MEG signals opens a window to aging trajectories and Alzheimer’s disease”
16:30–16:55– Jason da Silva Castanheira (McGill University): “Inter-individual differences in neurophysiology vary with age and disease”
Closing and final remarks
17:00 – 19:00 – Reception
Register for the Los Angeles Garden
Registration form
<<<Please click on the icon to register
Registration is NOW open!
%
Registration/max capacity
Instructions
· The form is to attend only the Los Angeles Garden + CuttingEEG Membership.
· To register it is mandatory to pay the CuttingEEG Membership.
· To register please click on the following link:
https://cutting-gardens.cheddarup.com
Important dates
· Registration opens on July 3oth
· Brainstorm workshop on October 18th
· DNN and EEG analysis local talks on October 19th
Venue – How to reach the Los Angeles Garden
Venue
The Ming Hsieh Department of Electrical and Computer Engineering (EEB) is one of the largest departments in the USC Viterbi School of Engineering. It is located on the University Park Campus just south of Downtown Los Angeles.
The conference will be held on the Ground floor, in conference Room 132, EEB 3740 McClintock Avenue, Los Angeles, CA 90089-2560
Campus Directions
We are located in the southwest corner of campus. See the campus map for specific buildings on campus.
View the University Park Campus Interactive Map
Coming to USC Los Angeles by Metro
Located next to one of the city’s major cultural centers, Exposition Park, USC’s 226-acre University Park campus (UPC) is just minutes from downtown Los Angeles and is easily accessible by major freeways, and by the new Metro Expo line (with stops at Expo/Vermont station, Expo Park/USC station, and Jefferson/USC station.)
The Metro Expo Line connects the Westside by rail to Downtown LA, Hollywood, the South Bay, Long Beach, Pasadena and dozens of points in between. It runs until 2AM on Fridays and Saturdays. For your best route or more info, check the Metro Trip Planner or call (323) Go Metro (323.446.3876).
Coming to USC by CAR
Located next to one of the city’s major cultural centers, Exposition Park, USC’s 226-acre University Park campus (UPC) is just minutes from downtown Los Angeles and is easily accessible by major freeways.
Accommodation
We highly recommend accommodations around USC, USC hotel is one of these options. The conference venue can be easily accessed by bus, or even walking from these areas.
Contact the Los Angeles team
