Differences between revisions 3 and 42 (spanning 39 versions)

Cutting Garden 2023: Los Angeles Garden!

As part of the CuttingGardens2023 conference.

The Los Angeles (LA) Garden will be held at the Ming Hsieh Department of Electrical and Computer Engineering (EEB) at the University of Southern California (USC). This event is scheduled to be an in-person gathering, but there will also be an option to broadcast it to all Gardens.

The LA Garden will span across two days. On the first day, we have scheduled a Brainstorm workshop and a Brainsuite Demo. The second day will feature local speakers presenting cutting-edge methods on Deep Neural Networks and Machine learning techniques applied to EEG data.

Furthermore, we are arranging a live stream of the Global Program, allowing anyone interested to join remotely. External attendees are more than welcome to participate, but prior registration will be required for attendance.

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 | Download Slides (pptx)

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 → 
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+   ← Revision 42 as of 2023-11-15 00:01:11 → ⇥
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-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
+= Cutting Garden 2023: 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''
+As part of the [[https://cuttinggardens2023.org/|CuttingGardens2023 conference]]. <<BR>>
-Line 7:
+Line 6:
-:30   – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
+The Los Angeles (LA) Garden will be held at the Ming Hsieh Department of Electrical and Computer Engineering (EEB) at the University of Southern California (USC). This event is scheduled to be an in-person gathering, but there will also be an option to broadcast it to all Gardens.
-Line 9:
+Line 8:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+The LA Garden will span across two days. On the first day, we have scheduled a Brainstorm workshop and a Brainsuite Demo. The second day will feature local speakers presenting cutting-edge methods on Deep Neural Networks and Machine learning techniques applied to EEG data.
-Line 11:
+Line 10:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+Furthermore, we are arranging a live stream of the Global Program, allowing anyone interested to join remotely. External attendees are more than welcome to participate, but prior registration will be required for attendance.
-Line 13:
+Line 12:
-:00   – ''Lunch Break''
+== WEDNESDAY 18th ==
'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
 Line 15:
-: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:
- . 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 19:
-''              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 21:
-''             13:30–14:35    ''Loading anatomy and recordings
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
-Line 24:
+Line 23:
-''                                      Set anatomy ''
+ . Introduction and Overview of Brainsuite
-Line 26:
+Line 25:
-''                                      Review Raw recordings''
+'''10:15'''    ''Coffee Break''
-Line 28:
+Line 27:
-''                                      Import events''
+'''10:30   – Anand Joshi''' (University of Southern California):
-Line 30:
+Line 29:
-''             14:35–15:35    ''Pre-processing
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
-Line 32:
+Line 31:
-''                                       Frequency filters ''
+'''11:00   – Richard Leahy''' (University of Southern California):
-Line 34:
+Line 33:
-''                                       Artefact detections''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
-Line 36:
+Line 35:
-''                                       Artifact correction with SSP''
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):
-Line 38:
+Line 37:
-''             15:30–15:45     Coffee Break''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/wearableSensig_Cameron_compressed.pdf|EEG Live Demo & Discussion]] | [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/DSI_Information_PUBLIC.pptx|Download Slides (pptx)]]
-Line 40:
+Line 39:
-''             15:45–16:20    Analysis sensor level''
+'''12:00   – ''Lunch Break'' '''
-Line 42:
+Line 41:
-''                                       Import recording'''' <<BR>>'''''''' '''
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
-Line 44:
+Line 43:
-'''''                                       Review trials'' '''
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
 Line 46:
-'''''                                       Trial averages'' '''
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
 Line 48:
-'''''             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:
-'''''                                       Forward Model (aka Head model)'''''''''' '''''
+'''13:30–14:35    Loading anatomy and recordings '''
 Line 52:
-'''                                       Noise covariance matrix'' '''''
+ . Set anatomy
 Line 54:
-'''                                       Source estimation (from EEG and MEG recording)'' '''''
+ . Review Raw recordings
 Line 56:
-'''             16:55–17:15    Analysis source level'' '''''
+ . Import events
 Line 58:
-'''                                       Cortex parcellations: Atlases and scouts'''''' '''
+'''14:35–15:35    Pre-processing '''
 Line 60:
-'''''                                       Noise covariance matrix'' '''
+ . Frequency filters
 Line 62:
-'''''                                       Source estimation (from EEG and MEG recording)''''''''        ''
+ . Artefact detections
 Line 64:
-===== THURSDAY 19th =====
''    ''
+ . Artifact correction with SSP
-Line 67:
+Line 66:
-:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data
+'''15:30–15:45     Coffee Break '''
-Line 69:
+Line 68:
-:30   – ''' Continental Breakfast'''
+'''15:45–16:20    Analysis sensor level '''
-Line 71:
+Line 70:
-:00 – 17:30  –  [''Local'']   Machine Learning and EEG
+ . Import recording'' ''
-Line 73:
+Line 72:
- . 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”''
+ . ''Review trials ''
-Line 83:
+Line 74:
-'''  Lunch ''''''Break (12:00–13:00)'''
+ . ''Trial averages ''
-Line 85:
+Line 76:
-'''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan'''
+'''''16:20–16:55    Source estimation ''' ''
-Line 87:
+Line 78:
- . 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”''
+ . ''Forward Model (aka Head model) ''
-Line 91:
+Line 80:
-'''  Panel Discussion'''
+ . ''Noise covariance matrix ''
-Line 93:
+Line 82:
- . 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“''
+ . ''Source estimation (from EEG and MEG recording) ''
-Line 95:
+Line 84:
-'''  Coffee ''''''Break(15:10–15:40)'''
+'''''16:55–17:15    Analysis source level ''' ''
-Line 97:
+Line 86:
-'''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman'''
+ . ''Cortex parcellations: Atlases and scouts ''
-Line 99:
+Line 88:
- . 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”''
+ . ''Noise covariance matrix ''
-Line 103:
+Line 90:
-'''  Closing and final remarks'''
+ . ''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): “''[[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”]]''

'''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):
 . [[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”]]

'''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)'':'' '' ''
 . ''[[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

Cutting Garden 2023: Los Angeles Garden!

WEDNESDAY 18th

THURSDAY 19th