===== CuttingGarden2023 Symposium:  LA Garden Program =====
===== WEDNESDAY 18th =====
'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses

'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]

'''9:15   – ''' Richard Leahy (University of Southern California):'''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|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): [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]

'''11:00   – '''Richard Leahy (University of Southern California): [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]

'''11:45   –''' Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion

'''12:00   – ''Lunch Break'' '''

'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|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     '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_lax_tm.pptx|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)

===== 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): “''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BIDS_ml_usc_delorme.pdf|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)'': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_Garden_WorkloadEstimation_IvanTashev_final.pdf|“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)'': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Cutting_EEG_2023_Duncan.pdf|“Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG”]]'' ''
  . ''11:25–11:50''– ''Wenhui Cui (University of Southern California)'': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/eeg_foundation_model_talk_Cui.pdf|“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): [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/USCsymposium_Alex_Silva.pdf|“A high performance neuroprosthesis for speech decoding and avatar control]]''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/USCsymposium_Alex_Silva.pdf|“]]'' ''
 . ''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) '': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/CuttingEEG20231029_LBellier.pdf|“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)'': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/USCTalk_Oct2023_v3_Sri.pdf|“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)'': [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Cutting_Gardens_daSilvaCastanheira_short.pdf|“Inter-individual differences in neurophysiology vary with age and disease”]]'' ''

'''''  Closing and final remarks''' ''