Diff for "CuttingGarden2023_SymposiumLA"

Differences between revisions 12 and 23 (spanning 11 versions)

CuttingGarden2023 Symposium: 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 12 as of 2023-11-13 22:40:41 → 
  Size: 6278
  Editor: TakfarinasMedani
  Comment:
+   ← Revision 23 as of 2023-11-13 23:08:59 → ⇥
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-Deletions are marked like this.
+Additions are marked like this.
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-'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
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-'''9:15   – '''Richard Leahy (University of Southern California):'''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
+'''9:15   – ''' Richard Leahy (University of Southern California):'''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
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-'''9:30   – '''David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
+'''9:30   – ''' David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
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- . Raymundo Cassani (McGill University) Takfarinas Medani (University of Southern California)
+ . Raymundo Cassani (McGill University) & Takfarinas Medani (University of Southern California)
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-'''13:00–13:30     '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_lax_tm.pptx|Introduction to Brainstorm (lecture)]]
+'''13:00–13:30     '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/2023_lax_tm_bst.pdf|Introduction to Brainstorm (lecture)]]
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-Set anatomy
+ . Set anatomy
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-Review Raw recordings
+ . Review Raw recordings
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-Import events
+ . Import events
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-Frequency filters
+ . Frequency filters
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-Artefact detections
+ . Artefact detections
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-Artifact correction with SSP
+ . Artifact correction with SSP
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-''Import recording''
+ . Import recording'' ''
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-Review trials
+ . ''Review trials ''
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-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 ''
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-Source estimation (from EEG and MEG recording)
+ . ''Source estimation (from EEG and MEG recording) ''
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-'''16:55–17:15    Analysis source level '''
+'''''16:55–17:15    Analysis source level ''' ''
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-Cortex parcellations: Atlases and scouts
+ . ''Cortex parcellations: Atlases and scouts ''
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-Noise covariance matrix
+ . ''Noise covariance matrix ''
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-Source estimation (from EEG and MEG recording)
+ . ''Source estimation (from EEG and MEG recording) ''
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-''5:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data ''
+'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
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-''8:30   – ''' Continental Breakfast''' ''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
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-''9:00 – 17:30  –  [''Local'']   Machine Learning and EEG ''
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
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- . ''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”]]'' ''
+Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy.'' ''
-Line 90:
+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 92:
+Line 90:
-'''''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' ''
+Session 2: Self Supervised Leaning; session chair: Takfarinas Medani '' ''
-Line 94:
+Line 92:
- . ''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”]]'' ''
+ . '''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 98:
+Line 95:
-'''''  Panel Discussion''' ''
+Lunch Break (12:00–13:00)''' '' '' '''
-Line 100:
+Line 97:
- . ''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 102:
+Line 99:
-'''''  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 104:
+Line 103:
-'''''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' ''
+Panel Discussion''' '' '' '''
-Line 106:
+Line 105:
- . ''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”]]'' ''
+ . '''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 110:
+Line 107:
-'''''  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 Symposium: LA Garden Program

WEDNESDAY 18th

THURSDAY 19th