Diff for "CuttingGarden2023_SymposiumLA"

Differences between revisions 2 and 35 (spanning 33 versions)

CuttingGarden2023: LA Garden Program

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 2 as of 2023-11-08 08:05:44 → 
  Size: 5433
  Editor: TakfarinasMedani
  Comment:
+   ← Revision 35 as of 2023-11-14 23:33:01 → ⇥
  Size: 6920
  Editor: TakfarinasMedani
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 1:
+===== CuttingGarden2023:  LA Garden Program =====
-Line 2:
+Line 3:
-:30   – [''Global''] Reproductible processing pipelines and multiverses
+'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
-Line 4:
+Line 5:
-:30   – '''Registration & Continental Breakfast '''
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
-Line 6:
+Line 7:
-:15   – Richard Leahy (University of Southern California): Opening of the LA Garden
+'''9:15   –  Richard Leahy''' (University of Southern California):
-Line 8:
+Line 9:
-:30   – David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
+'''           [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
-Line 10:
+Line 11:
-:15    ''Coffee Break''
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
-Line 12:
+Line 13:
-:30   – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
+ . Introduction and Overview of Brainsuite
-Line 14:
+Line 15:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+'''10:15'''    ''Coffee Break''
-Line 16:
+Line 17:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+'''10:30   – Anand Joshi''' (University of Southern California):
-Line 18:
+Line 19:
-:00   – ''Lunch Break''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
-Line 20:
+Line 21:
-:30–17:30  –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
+'''11:00   – Richard Leahy''' (University of Southern California):
-Line 22:
+Line 23:
-              Raymundo Cassani (McGill University)
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
-Line 24:
+Line 25:
-              Takfarinas Medani (University of Southern California)
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):
-Line 26:
+Line 27:
-              ''12:30–13:00 ''   Onsite assistance in installing the material for the training session
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/wearableSensig_Cameron_compressed.pdf|EEG Live Demo & Discussion]]
-Line 28:
+Line 29:
-''              13:00–13:30     ''Introduction to Brainstorm (lecture)
+'''12:00   – ''Lunch Break'' '''
-Line 30:
+Line 31:
-''             13:30–14:35    ''Loading anatomy and recordings
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
-Line 32:
+Line 33:
-''                                      Set anatomy
''
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
-Line 35:
+Line 36:
-''                                      Review Raw recordings''
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
-Line 37:
+Line 38:
-''                                      Import events''
+'''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 39:
+Line 40:
-''             14:35–15:35    ''Pre-processing
+'''13:30–14:35    Loading anatomy and recordings '''
-Line 41:
+Line 42:
-''                                       Frequency filters
''
+ . Set anatomy
 Line 44:
-''                                       Artefact detections''
+ . Review Raw recordings
 Line 46:
-''                                       Artifact correction with SSP''
+ . Import events
 Line 48:
-''             15:30–15:45     Coffee Break''
+'''14:35–15:35    Pre-processing '''
 Line 50:
-''             15:45–16:20    Analysis sensor level''
+ . Frequency filters
 Line 52:
-''                                       Import recording'''' <<BR>>''
+ . Artefact detections
 Line 54:
-''                                       Review trials''
+ . Artifact correction with SSP
 Line 56:
-''                                       Trial averages''
+'''15:30–15:45     Coffee Break '''
 Line 58:
-''             16:20–16:55    Source estimation''
+'''15:45–16:20    Analysis sensor level '''
 Line 60:
-''                                       Forward Model (aka Head model)''''''
+ . Import recording'' ''
 Line 62:
-''                                       Noise covariance matrix''
+ . ''Review trials ''
 Line 64:
-''                                       Source estimation (from EEG and MEG recording)''
+ . ''Trial averages ''
 Line 66:
-''             16:55–17:15    Analysis source level''
+'''''16:20–16:55    Source estimation ''' ''
 Line 68:
-''                                       Cortex parcellations: Atlases and scouts''''''
+ . ''Forward Model (aka Head model) ''
 Line 70:
-''                                       Noise covariance matrix''
+ . ''Noise covariance matrix ''
 Line 72:
-''                                       Source estimation (from EEG and MEG recording)''''        ''
+ . ''Source estimation (from EEG and MEG recording) ''
 Line 74:
+'''''16:55–17:15    Analysis source level ''' ''
-Line 75:
+Line 76:
+ . ''Cortex parcellations: Atlases and scouts ''

 . ''Noise covariance matrix ''

 . ''Source estimation (from EEG and MEG recording) ''
-Line 77:
+Line 83:
-''    ''
+'' ''
-Line 79:
+Line 85:
-:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data
+'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
-Line 81:
+Line 87:
-:30   – ''' Continental Breakfast'''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
-Line 83:
+Line 89:
-:00 – 17:30  –  [''Local'']   Machine Learning and EEG
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
-Line 85:
+Line 91:
-  Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy
+'''Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy.'' '' '''
-Line 87:
+Line 93:
-:00–9:25- Arnaud Delorme (University of California, San Diego): “''Machine learning and the BIDS EEG data format”''
+ . '''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 89:
+Line 96:
-:25–9:50- Tim Mullen (Intheon Labs):'' “Creating Deployable Workflows for EEG Signal Processing and ML/DL Using NeuroPype”''
+ . ''“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 91:
+Line 104:
-:50–10:15''– ''Ivan Tashev (Microsoft Research)'': “Workload estimation using brain- and bio- signals for adaptive training system”''
+'''Session 2: Self Supervised Leaning; session chair: Takfarinas Medani '' '' '''
-Line 93:
+Line 106:
-:15–10:40''– ''Bin He (Carnegie Mellon University)'': “AI/ML Enhances Dynamic Brain Imaging from EEG/MEG”''
+ . '''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 95:
+Line 111:
-     '''Coffee ''''''Break (10:40–11:00)'''
+Lunch Break (12:00–13:00)''' '' '' '''
-Line 97:
+Line 113:
-  Session 2: Self Supervised Leaning; session chair: Takfarinas Medani
+'''Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan '' ''  '''
-Line 99:
+Line 115:
-:00–11:25''– ''Dominique Duncan (University of Southern California)'': “Unsupervised Multivariate Time-Series Transformers for Seizure Identification on EEG”''
+ . '''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 101:
+Line 122:
-:25–11:50''– ''Wenhui Cui (University of Southern California)'': “Neuro-GPT: A Foundation Model Pretrained on Large-Scale EEG Data”''
+'''Panel Discussion'' '''''
-Line 103:
+Line 124:
-'''  Lunch ''''''Break (12:00–13:00)'''
+ . '''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“'' '' '' '' ''' '''''
-Line 105:
+Line 127:
-'''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan'''
+Coffee Break(15:10–15:40)
-Line 107:
+Line 129:
-:00–13:30- Alexander Silva (University of California, San Francisco): “A high performance neuroprosthesis for speech decoding and avatar control''“''
+'''Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''''' ''
-Line 109:
+Line 131:
-:30–14:00''– ''Maryam Shanechi (University of Southern California)'': “AI-powered next-generation neurotechnologies”''
+ . 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”]] '' ''' '''
-Line 111:
+Line 138:
-: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'''
+'''Closing and final remarks'''

Software

Users

Development

CuttingGarden2023: LA Garden Program

WEDNESDAY 18th

THURSDAY 19th