Differences between revisions 3 and 37 (spanning 34 versions)

CuttingGarden2023: Los Angeles Garden

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 Tools & 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) - Youtube Video -

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): “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

-  ⇤ ← Revision 3 as of 2023-11-08 08:06:17 → 
  Size: 5391
  Editor: TakfarinasMedani
  Comment:
+   ← Revision 37 as of 2023-11-14 23:36:28 → ⇥
  Size: 7137
  Editor: TakfarinasMedani
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 1:
-===== 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
+= CuttingGarden2023:  Los Angeles Garden =
<<HTML(<img align="right" alt="cutting_lax_logo.png" class="attachment" src="/brainstorm/WorkshopLA2023?action=AttachFile&amp;do=get&amp;target=cutting_lax_logo.png" title="cutting_lax_logo.png" style="width: 35%;">)>>
-Line 5:
+Line 4:
-:15    ''Coffee Break''
-Line 7:
+Line 5:
-:30   – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
-Line 9:
+Line 6:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
-Line 11:
+Line 7:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
-Line 13:
+Line 8:
-:00   – ''Lunch Break''
+== WEDNESDAY 18th ==
'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
-Line 15:
+Line 11:
-:30–17:30  –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
-Line 17:
+Line 13:
- . Raymundo Cassani (McGill University) Takfarinas Medani (University of Southern California)
 ''12:30–13:00 ''   Onsite assistance in installing the material for the training session
+'''9:15   –  Richard Leahy''' (University of Southern California):
-Line 20:
+Line 15:
-''              13:00–13:30     ''Introduction to Brainstorm (lecture)
+'''           [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
-Line 22:
+Line 17:
-''             13:30–14:35    ''Loading anatomy and recordings
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
-Line 24:
+Line 19:
-''                                      Set anatomy ''
+ . Introduction and Overview of Brainsuite
-Line 26:
+Line 21:
-''                                      Review Raw recordings''
+'''10:15'''    ''Coffee Break''
-Line 28:
+Line 23:
-''                                      Import events''
+'''10:30   – Anand Joshi''' (University of Southern California):
-Line 30:
+Line 25:
-''             14:35–15:35    ''Pre-processing
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
-Line 32:
+Line 27:
-''                                       Frequency filters ''
+'''11:00   – Richard Leahy''' (University of Southern California):
-Line 34:
+Line 29:
-''                                       Artefact detections''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
-Line 36:
+Line 31:
-''                                       Artifact correction with SSP''
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):
-Line 38:
+Line 33:
-''             15:30–15:45     Coffee Break''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/wearableSensig_Cameron_compressed.pdf|EEG Live Demo & Discussion]]
-Line 40:
+Line 35:
-''             15:45–16:20    Analysis sensor level''
+'''12:00   – ''Lunch Break'' '''
-Line 42:
+Line 37:
-''                                       Import recording'''' <<BR>>'''''''' '''
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
-Line 44:
+Line 39:
-'''''                                       Review trials'' '''
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
-Line 46:
+Line 42:
-'''''                                       Trial averages'' '''
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
-Line 48:
+Line 44:
-'''''             16:20–16:55    Source estimation'' '''
+'''13:00–13:30     '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_lax_tm_bst.pdf|Introduction to Brainstorm (lecture)]] - [[https://www.youtube.com/watch?v=_h-X6GfxmpE|Youtube Video]] -
-Line 50:
+Line 46:
-'''''                                       Forward Model (aka Head model)'''''''''' '''''
+'''13:30–14:35    Loading anatomy and recordings '''
-Line 52:
+Line 48:
-'''                                       Noise covariance matrix'' '''''
+ . Set anatomy
-Line 54:
+Line 50:
-'''                                       Source estimation (from EEG and MEG recording)'' '''''
+ . Review Raw recordings
-Line 56:
+Line 52:
-'''             16:55–17:15    Analysis source level'' '''''
+ . Import events
-Line 58:
+Line 54:
-'''                                       Cortex parcellations: Atlases and scouts'''''' '''
+'''14:35–15:35    Pre-processing '''
-Line 60:
+Line 56:
-'''''                                       Noise covariance matrix'' '''
+ . Frequency filters
-Line 62:
+Line 58:
-'''''                                       Source estimation (from EEG and MEG recording)''''''''        ''
+ . 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) ''
-Line 65:
+Line 89:
-''    ''
+'' ''
-Line 67:
+Line 91:
-:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data
+'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
-Line 69:
+Line 93:
-:30   – ''' Continental Breakfast'''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
-Line 71:
+Line 95:
-:00 – 17:30  –  [''Local'']   Machine Learning and EEG
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
-Line 73:
+Line 97:
- . 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”''
+'''Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy.'' '' '''
-Line 83:
+Line 99:
-'''  Lunch ''''''Break (12:00–13:00)'''
+ . '''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):'' ''
-Line 85:
+Line 102:
-'''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan'''
+ . ''“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)''' '' ''
-Line 87:
+Line 110:
- . 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”''
+'''Session 2: Self Supervised Leaning; session chair: Takfarinas Medani '' '' '''
-Line 91:
+Line 112:
-'''  Panel Discussion'''
+ . '''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”]]''
-Line 93:
+Line 117:
- . 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“''
+Lunch Break (12:00–13:00)''' '' '' '''
-Line 95:
+Line 119:
-'''  Coffee ''''''Break(15:10–15:40)'''
+'''Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan '' ''  '''
-Line 97:
+Line 121:
-'''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman'''
+ . '''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”]]
-Line 99:
+Line 128:
- . 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”''
+'''Panel Discussion'' '''''
-Line 103:
+Line 130:
-'''  Closing and final remarks'''
+ . '''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)'':'' '' ''' '''
 . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/CuttingEEG_GardenLA2023_Pantazis.pdf|“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'''

Software

Users

Development

CuttingGarden2023: Los Angeles Garden

WEDNESDAY 18th

THURSDAY 19th