|
Size: 5391
Comment:
|
Size: 6348
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 1: | Line 1: |
| ===== – [Global] Reproductible processing pipelines and multiverses ===== 8:30 – '''Registration & Continental Breakfast ''' |
===== CuttingGarden2023 Symposium: LA Garden Program ===== ===== WEDNESDAY 18th ===== '''5:30 –''' [''Global''] Reproductible processing pipelines and multiverses |
| Line 4: | Line 5: |
| 9:15 – 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: |
| 9:30 – 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: |
| 10:15 ''Coffee Break'' | '''9:30 – ''' David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite |
| Line 10: | Line 11: |
| 10:30 – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion | '''10:15''' ''Coffee Break'' |
| Line 12: | Line 13: |
| 11:00 – 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: |
| 11:45 – 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: |
| 12:00 – ''Lunch Break'' | '''11:45 –''' Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion |
| Line 18: | Line 19: |
| 12:30–17:30 – [[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.pptx|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: | Line 42: |
| '' Artefact detections'' | . Artefact detections |
| Line 44: | Line 44: |
| '' Artifact correction with SSP'' | . Artifact correction with SSP |
| Line 46: | Line 46: |
| '' 15:30–15:45 Coffee Break'' | '''15:30–15:45 Coffee Break ''' |
| Line 48: | Line 48: |
| '' 15:45–16:20 Analysis sensor level'' | '''15:45–16:20 Analysis sensor level ''' |
| Line 50: | Line 50: |
| '' Import recording'''' <<BR>>'' | . Import recording'' '' |
| Line 52: | Line 52: |
| '' Review trials'' | . ''Review trials '' |
| Line 54: | Line 54: |
| '' Trial averages'' | . ''Trial averages '' |
| Line 56: | Line 56: |
| '' 16:20–16:55 Source estimation'' | '''''16:20–16:55 Source estimation ''' '' |
| Line 58: | Line 58: |
| '' Forward Model (aka Head model)'''''' | . ''Forward Model (aka Head model) '' |
| Line 60: | Line 60: |
| '' Noise covariance matrix'' | . ''Noise covariance matrix '' |
| Line 62: | Line 62: |
| '' Source estimation (from EEG and MEG recording)'' | . ''Source estimation (from EEG and MEG recording) '' |
| Line 64: | Line 64: |
| '' 16:55–17:15 Analysis source level'' | '''''16:55–17:15 Analysis source level ''' '' |
| Line 66: | Line 66: |
| '' Cortex parcellations: Atlases and scouts'''''' | . ''Cortex parcellations: Atlases and scouts '' |
| Line 68: | Line 68: |
| '' Noise covariance matrix'' | . ''Noise covariance matrix '' |
| Line 70: | Line 70: |
| '' Source estimation (from EEG and MEG recording)'''' '' | . ''Source estimation (from EEG and MEG recording) '' |
| Line 75: | 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: | Line 77: |
| ''8:30 – ''' Continental Breakfast''' '' | 8:30 – ''' Continental Breakfast''' '' '' |
| Line 79: | Line 79: |
| ''9:00 – 17:30 – [''Local''] Machine Learning and EEG '' | 9:00 – 17:30 – [''Local''] Machine Learning and EEG '' '' |
| Line 81: | 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.'' '' . 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”]]'' '' '' |
| Line 86: | Line 90: |
| ''''' Lunch ''''''Break (12:00–13:00)''' '' | ''' Lunch ''''''Break (12:00–13:00)''' '' '' |
| Line 88: | Line 92: |
| ''''' Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' '' | ''' Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' '' '' |
| Line 90: | Line 94: |
| . ''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”'' '' | . 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 92: | Line 98: |
| ''''' Panel Discussion''' '' | ''' Panel Discussion''' '' '' |
| Line 94: | Line 100: |
| . ''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“'' '' | . 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 96: | Line 102: |
| ''''' Coffee ''''''Break(15:10–15:40)''' '' | ''' Coffee ''''''Break(15:10–15:40)''' '' '' |
| Line 98: | Line 104: |
| ''''' Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' '' | ''' Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' '' '' |
| Line 100: | Line 106: |
| . ''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”'' '' | . 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”]]'' '' '' |
| Line 102: | Line 110: |
| ''''' Closing and final remarks''' '' | ''' Closing and final remarks''' '' '' |
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