Differences between revisions 4 and 40 (spanning 36 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

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 4 as of 2023-11-08 08:08:20 → 
  Size: 5391
  Editor: TakfarinasMedani
  Comment:
+   ← Revision 40 as of 2023-11-14 23:41:48 → ⇥
  Size: 7998
  Editor: TakfarinasMedani
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 1:
-===== – [Global] Reproductible processing pipelines and multiverses =====
  8:30   – '''Registration & Continental Breakfast '''
+= 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 4:
-:15   – Richard Leahy (University of Southern California): Opening of the LA Garden
+As part of the [[https://cuttinggardens2023.org/|CuttingGardens2023 conference]]. <<BR>>
 Line 6:
-:30   – David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
+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 8:
-:15    ''Coffee Break''
+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 10:
-:30   – Anand Joshi (University of Southern California): Brainsuite 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 12:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+== WEDNESDAY 18th ==
'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
-Line 14:
+Line 15:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
-Line 16:
+Line 17:
-:00   – ''Lunch Break''
+'''9:15   –  Richard Leahy''' (University of Southern California):
-Line 18:
+Line 19:
-:30–17:30  –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
+'''           [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
-Line 20:
+Line 21:
-              Raymundo Cassani (McGill University)
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
-Line 22:
+Line 23:
-              Takfarinas Medani (University of Southern California)
+ . Introduction and Overview of Brainsuite
-Line 24:
+Line 25:
-              ''12:30–13:00 ''   Onsite assistance in installing the material for the training session
+'''10:15'''    ''Coffee Break''
-Line 26:
+Line 27:
-''              13:00–13:30     ''Introduction to Brainstorm (lecture)
+'''10:30   – Anand Joshi''' (University of Southern California):
-Line 28:
+Line 29:
-''             13:30–14:35    ''Loading anatomy and recordings
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
-Line 30:
+Line 31:
-''                                      Set anatomy
''
+'''11:00   – Richard Leahy''' (University of Southern California):
 Line 33:
-''                                      Review Raw recordings''
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
 Line 35:
-''                                      Import events''
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):
 Line 37:
-''             14:35–15:35    ''Pre-processing
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/wearableSensig_Cameron_compressed.pdf|EEG Live Demo & Discussion]]
 Line 39:
-''                                       Frequency filters
''
+'''12:00   – ''Lunch Break'' '''
-Line 42:
+Line 41:
-''                                       Artefact detections''
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
-Line 44:
+Line 43:
-''                                       Artifact correction with SSP''
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
 Line 46:
-''             15:30–15:45     Coffee Break''
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
 Line 48:
-''             15:45–16:20    Analysis sensor level''
+'''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:
-''                                       Import recording'''' <<BR>>''
+'''13:30–14:35    Loading anatomy and recordings '''
 Line 52:
-''                                       Review trials''
+ . Set anatomy
 Line 54:
-''                                       Trial averages''
+ . Review Raw recordings
 Line 56:
-''             16:20–16:55    Source estimation''
+ . Import events
 Line 58:
-''                                       Forward Model (aka Head model)''''''
+'''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:
-''             16:55–17:15    Analysis source level''
+ . Artifact correction with SSP
 Line 66:
-''                                       Cortex parcellations: Atlases and scouts''''''
+'''15:30–15:45     Coffee Break '''
 Line 68:
-''                                       Noise covariance matrix''
+'''15:45–16:20    Analysis sensor level '''
 Line 70:
-''                                       Source estimation (from EEG and MEG recording)''''            ''
+ . Import recording'' ''
 Line 72:
-===== THURSDAY 19th =====
'' ''
+ . ''Review trials ''
-Line 75:
+Line 74:
-''5:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data ''
+ . ''Trial averages ''
-Line 77:
+Line 76:
-''8:30   – ''' Continental Breakfast''' ''
+'''''16:20–16:55    Source estimation ''' ''
-Line 79:
+Line 78:
-''9:00 – 17:30  –  [''Local'']   Machine Learning and EEG ''
+ . ''Forward Model (aka Head model) ''
-Line 81:
+Line 80:
- . ''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”'' ''
+ . ''Noise covariance matrix ''
-Line 86:
+Line 82:
-'''''  Lunch ''''''Break (12:00–13:00)''' ''
+ . ''Source estimation (from EEG and MEG recording) ''
-Line 88:
+Line 84:
-'''''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' ''
+'''''16:55–17:15    Analysis source level ''' ''
-Line 90:
+Line 86:
- . ''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”'' ''
+ . ''Cortex parcellations: Atlases and scouts ''
-Line 92:
+Line 88:
-'''''  Panel Discussion''' ''
+ . ''Noise covariance matrix ''
-Line 94:
+Line 90:
- . ''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 96:
+Line 92:
-'''''  Coffee ''''''Break(15:10–15:40)''' ''
+== THURSDAY 19th ==
'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
-Line 98:
+Line 95:
-'''''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' ''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
-Line 100:
+Line 97:
- . ''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”'' ''
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
-Line 102:
+Line 99:
-'''''  Closing and final remarks''' ''
+'''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