Diff for "CuttingGarden2023_SymposiumLA"

Differences between revisions 5 and 27 (spanning 22 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)

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 5 as of 2023-11-08 08:09:50 → 
  Size: 5418
  Editor: TakfarinasMedani
  Comment:
+   ← Revision 27 as of 2023-11-13 23:18:28 → ⇥
  Size: 6717
  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  8:30   – '''Registration & Continental Breakfast '''
+'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
-Line 4:
+Line 5:
-:15   – Richard Leahy (University of Southern California): Opening of the LA Garden
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
-Line 6:
+Line 7:
-:30   – David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
+'''9:15   –  Richard Leahy''' (University of Southern California):'''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
-Line 8:
+Line 9:
-:15    ''Coffee Break''
+'''9:30   –  David Shattuck '''(University of California, Los Angeles): Introduction and Overview of Brainsuite
-Line 10:
+Line 11:
-:30   – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
+'''10:15'''    ''Coffee Break''
-Line 12:
+Line 13:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+'''10:30   – Anand Joshi''' (University of Southern California): [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
-Line 14:
+Line 15:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+'''11:00   – Richard Leahy''' (University of Southern California): [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
-Line 16:
+Line 17:
-:00   – ''Lunch Break''
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing): EEG Live Demo & Discussion
-Line 18:
+Line 19:
-:30–17:30  –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
+'''12:00   – ''Lunch Break'' '''
-Line 20:
+Line 21:
-              Raymundo Cassani (McGill University)
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
-Line 22:
+Line 23:
-              Takfarinas Medani (University of Southern California)
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
-Line 24:
+Line 26:
-              ''12:30–13:00 ''   Onsite assistance in installing the material for the training session
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
-Line 26:
+Line 28:
-''              13:00–13:30     ''Introduction to Brainstorm (lecture)
+'''13:00–13:30     '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_lax_tm_bst.pdf|Introduction to Brainstorm (lecture)]]
-Line 28:
+Line 30:
-''             13:30–14:35    ''Loading anatomy and recordings
+'''13:30–14:35    Loading anatomy and recordings '''
-Line 30:
+Line 32:
-''                                      Set anatomy
''
+ . Set anatomy
-Line 33:
+Line 34:
-''                                      Review Raw recordings''
+ . Review Raw recordings
-Line 35:
+Line 36:
-''                                      Import events''
+ . Import events
-Line 37:
+Line 38:
-''             14:35–15:35    ''Pre-processing
+'''14:35–15:35    Pre-processing '''
-Line 39:
+Line 40:
-''                                       Frequency filters
''
+ . Frequency filters
 Line 42:
-''                                       Artefact detections''
+ . Artefact detections
 Line 44:
-''                                       Artifact correction with SSP''
+ . Artifact correction with SSP
 Line 46:
-''             15:30–15:45     Coffee Break''
+'''15:30–15:45     Coffee Break '''
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-''             15:45–16:20    Analysis sensor level''
+'''15:45–16:20    Analysis sensor level '''
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-''                                       Import recording'''' <<BR>>''
+ . Import recording'' ''
 Line 52:
-''                                       Review trials''
+ . ''Review trials ''
 Line 54:
-''                                       Trial averages''
+ . ''Trial averages ''
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-''             16:20–16:55    Source estimation''
+'''''16:20–16:55    Source estimation ''' ''
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-''                                       Forward Model (aka Head model)''''''
+ . ''Forward Model (aka Head model) ''
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-''                                       Noise covariance matrix''
+ . ''Noise covariance matrix ''
 Line 62:
-''                                       Source estimation (from EEG and MEG recording)''
+ . ''Source estimation (from EEG and MEG recording) ''
 Line 64:
-''             16:55–17:15    Analysis source level''
+'''''16:55–17:15    Analysis source level ''' ''
 Line 66:
-''                                       Cortex parcellations: Atlases and scouts''''''
+ . ''Cortex parcellations: Atlases and scouts ''
 Line 68:
-''                                       Noise covariance matrix''
+ . ''Noise covariance matrix ''
 Line 70:
-''                                       Source estimation (from EEG and MEG recording)''''            ''
+ . ''Source estimation (from EEG and MEG recording) ''
 Line 75:
-''5:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data ''
+'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
 Line 77:
-''8:30   – ''' Continental Breakfast''' ''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
 Line 79:
-''9:00 – 17:30  –  [''Local'']   Machine Learning and EEG ''
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
 Line 81:
- . ''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 86:
+Line 83:
-'''''  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):'' ''
 . ''“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 88:
+Line 94:
-'''''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' ''
+'''Session 2: Self Supervised Leaning; session chair: Takfarinas Medani '' '' '''
-Line 90:
+Line 96:
- . ''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”'' ''
+ . '''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 92:
+Line 101:
-'''''  Panel Discussion''' ''
+Lunch Break (12:00–13:00)''' '' '' '''
-Line 94:
+Line 103:
- . ''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“'' ''
+'''Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan '' ''  '''
-Line 96:
+Line 105:
-'''''  Coffee ''''''Break(15:10–15:40)''' ''
+ . '''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 98:
+Line 112:
-'''''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' ''
+Panel Discussion''' '' '' '''
-Line 100:
+Line 114:
- . ''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”'' ''
+ . '''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 102:
+Line 117:
-'''''  Closing and final remarks''' ''
+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: LA Garden Program

WEDNESDAY 18th

THURSDAY 19th