Differences between revisions 6 and 42 (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 | 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 6 as of 2023-11-08 08:14:20 → 
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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.
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-===== WEDNESDAY 18th =====
5:30   – [''Global''] Reproductible processing pipelines and multiverses8:30   – Registration & Continental Breakfast9:15   – Richard Leahy (University of Southern California): Opening of the LA Garden9:30   – David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite10:15    ''Coffee Break''
+= 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%;">)>>
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-:30   – Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
+As part of the [[https://cuttinggardens2023.org/|CuttingGardens2023 conference]]. <<BR>>
 Line 6:
-:00   – Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+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:
-:45   – Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+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:
-:00   – ''Lunch Break''
+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:
-:30–17:30  –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
+== WEDNESDAY 18th ==
'''5:30   –''' [''Global''] Reproductible processing pipelines and multiverses
-Line 14:
+Line 15:
- . Raymundo Cassani (McGill University) Takfarinas Medani (University of Southern California)
 12:30–13:00    Onsite assistance in installing the material for the training session
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
 Line 17:
-:00–13:30     Introduction to Brainstorm (lecture)
+'''9:15   –  Richard Leahy''' (University of Southern California):
 Line 19:
-:30–14:35    Loading anatomy and recordings
+'''           [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
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-<<BR>>Set anatomy
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
 Line 23:
-<<BR>>Review Raw recordings
+ . Introduction and Overview of Brainsuite
 Line 25:
-<<BR>>Import events
+'''10:15'''    ''Coffee Break''
 Line 27:
-:35–15:35    Pre-processing
+'''10:30   – Anand Joshi''' (University of Southern California):
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-<<BR>>Frequency filters
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]
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-<<BR>>Artefact detections
+'''11:00   – Richard Leahy''' (University of Southern California):
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-<<BR>>Artifact correction with SSP
+ . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]
 Line 35:
-:30–15:45     Coffee Break
+'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):
 Line 37:
-:45–16:20    Analysis sensor level
+ . [[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)]]
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-<<BR>>''Import recording''
+'''12:00   – ''Lunch Break'' '''
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-<<BR>>Review trials
+'''12:30–17:30 ''' –   [[https://neuroimage.usc.edu/brainstorm/WorkshopLA2023|Tutorial – Hands-On Brainstorm]]
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-<<BR>>Trial averages
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
 .
-Line 45:
+Line 46:
-:20–16:55    Source estimation
+'''12:30–13:00''' Onsite assistance in installing the material for the training session
-Line 47:
+Line 48:
-<<BR>>Forward Model (aka Head model)
+'''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 49:
+Line 50:
-<<BR>>Noise covariance matrix
+'''13:30–14:35    Loading anatomy and recordings '''
-Line 51:
+Line 52:
-<<BR>>Source estimation (from EEG and MEG recording)
+ . Set anatomy
-Line 53:
+Line 54:
-:55–17:15    Analysis source level
+ . Review Raw recordings
-Line 55:
+Line 56:
-<<BR>>Cortex parcellations: Atlases and scouts
+ . Import events
-Line 57:
+Line 58:
-<<BR>>Noise covariance matrix
+'''14:35–15:35    Pre-processing '''
-Line 59:
+Line 60:
-<<BR>>Source estimation (from EEG and MEG recording)
+ . Frequency filters
-Line 61:
+Line 62:
-===== THURSDAY 19th =====
'' ''
+ . Artefact detections
 Line 64:
-''5:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data ''
+ . Artifact correction with SSP
 Line 66:
-''8:30   – ''' Continental Breakfast''' ''
+'''15:30–15:45     Coffee Break '''
 Line 68:
-''9:00 – 17:30  –  [''Local'']   Machine Learning and EEG ''
+'''15:45–16:20    Analysis sensor level '''
 Line 70:
- . ''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”'' ''
+ . Import recording'' ''
-Line 75:
+Line 72:
-'''''  Lunch ''''''Break (12:00–13:00)''' ''
+ . ''Review trials ''
-Line 77:
+Line 74:
-'''''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' ''
+ . ''Trial averages ''
-Line 79:
+Line 76:
- . ''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”'' ''
+'''''16:20–16:55    Source estimation ''' ''
-Line 81:
+Line 78:
-'''''  Panel Discussion''' ''
+ . ''Forward Model (aka Head model) ''
-Line 83:
+Line 80:
- . ''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“'' ''
+ . ''Noise covariance matrix ''
-Line 85:
+Line 82:
-'''''  Coffee ''''''Break(15:10–15:40)''' ''
+ . ''Source estimation (from EEG and MEG recording) ''
-Line 87:
+Line 84:
-'''''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' ''
+'''''16:55–17:15    Analysis source level ''' ''
-Line 89:
+Line 86:
- . ''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”'' ''
+ . ''Cortex parcellations: Atlases and scouts ''
-Line 91:
+Line 88:
-'''''  Closing and final remarks''' ''
+ . ''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): “''[[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