Los Angeles, CA, USA


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.





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.


Day 1:
     AM: Overview of the Brainsuite software and demo.
     PM: Introduction to EEG/MEG analysis using Brainstorm.

Global Program

Local Program




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


  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.  


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”

     9:50–10:15Ivan Tashev (Microsoft Research): “Workload estimation using brain- and bio- signals for adaptive training system”

     10:15–10:40Bin 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

     11:00–11:25Dominique Duncan (University of Southern California): “Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG”

     11:25–11:50Wenhui 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

     13:30–14:00Maryam Shanechi (University of Southern California): “AI-powered next-generation neurotechnologies”

     14:00–14:30Ludovic Bellier (University of California, Berkeley) : “Reconstructing Pink Floyd from human auditory cortex”

  Panel Discussion

     14:40–15:10Moderator: 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

     15:40–16:05Srikantan Nagarajan (University of California, San Francisco): “Machine learning algorithms for electromagnetic brain imaging in dementia”

     16:05–16:30Dimitrios Pantazis (Massachusetts Institute of Technology): “Graph representation learning of MEG signals opens a window to aging trajectories and Alzheimer’s disease”

     16:30–16:55Jason 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

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Registration is NOW open!


Registration/max capacity



·  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:



Important dates

·  Registration opens on July 3oth

·  Brainstorm workshop on October 18th

·  DNN and EEG analysis local talks on October 19th

Registration Fee

·  The registration fee is $100

·  Cost includes: workshop, cocktail reception, and the 50$ membership of CuttingEEG.

Venue – How to reach the Los Angeles Garden


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

Campus map and parking 


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.


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 Global team