Differences between revisions 8 and 40 (spanning 32 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 8 as of 2023-11-08 08:18:56 → 
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+Additions are marked like this.
 Line 1:
-===== WEDNESDAY 18th =====
+= 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%;">)>>

As part of the [[https://cuttinggardens2023.org/|CuttingGardens2023 conference]]. <<BR>>

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 ==
-Line 4:
+Line 15:
-'''8:30   – '''Registration & Continental Breakfast
+'''8:30   – '''[[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/Local-Program_LA.pdf|Registration & Continental Breakfast]]
-Line 6:
+Line 17:
-'''9:15   – '''Richard Leahy (University of Southern California): Opening of the LA Garden
+'''9:15   –  Richard Leahy''' (University of Southern California):
-Line 8:
+Line 19:
-'''9:30   – '''David Shattuck (University of California, Los Angeles): Introduction and Overview of Brainsuite
+'''           [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/WelcomeCuttingEEGLAGarden__intro_leahy.pdf|Opening of the LA Garden]]'''
-Line 10:
+Line 21:
-:15    ''Coffee Break''
+'''9:30   –  David Shattuck '''(University of California, Los Angeles):
-Line 12:
+Line 23:
-'''10:30   – '''Anand Joshi (University of Southern California): Brainsuite Demo & Discussion
+ . Introduction and Overview of Brainsuite
-Line 14:
+Line 25:
-'''11:00   – '''Richard Leahy (University of Southern California): Introduction to EEG/MEG Analysis
+'''10:15'''    ''Coffee Break''
-Line 16:
+Line 27:
-'''11:45   –''' Cameron Sacks (Wearable Sensing): EEG Live Demo & Discussion
+'''10:30   – Anand Joshi''' (University of Southern California):

 . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainSuiteToolsGardens_joshi.pdf|Brainsuite Tools & Discussion]]

'''11:00   – Richard Leahy''' (University of Southern California):

 . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/BrainstormEEGOverviewCuttingGardens2023_leahy.pdf|Introduction to EEG/MEG Analysis]]

'''11:45   –''' '''Cameron Sacks''' (Wearable Sensing):

 . [[https://neuroimage.usc.edu/resources/CuttingEEG2023finalSlides/wearableSensig_Cameron_compressed.pdf|EEG Live Demo & Discussion]]
-Line 22:
+Line 43:
- . Raymundo Cassani (McGill University) Takfarinas Medani (University of Southern California)
+ . '''Raymundo Cassani '''(McGill University) &''' Takfarinas Medani '''(University of Southern California)
-Line 27:
+Line 48:
-'''13:00–13:30     '''Introduction to Brainstorm (lecture)
+'''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 31:
+Line 52:
-Set anatomy
+ . Set anatomy
-Line 33:
+Line 54:
-Review Raw recordings
+ . Review Raw recordings
-Line 35:
+Line 56:
-Import events
+ . Import events
-Line 39:
+Line 60:
-Frequency filters
+ . Frequency filters
-Line 41:
+Line 62:
-Artefact detections
+ . Artefact detections
-Line 43:
+Line 64:
-Artifact correction with SSP
+ . Artifact correction with SSP
-Line 49:
+Line 70:
-''Import recording''
+ . Import recording'' ''
-Line 51:
+Line 72:
-Review trials
+ . ''Review trials ''
-Line 53:
+Line 74:
-Trial averages
+ . ''Trial averages ''
-Line 55:
+Line 76:
-'''16:20–16:55    Source estimation '''
+'''''16:20–16:55    Source estimation ''' ''
-Line 57:
+Line 78:
-Forward Model (aka Head model)
+ . ''Forward Model (aka Head model) ''
-Line 59:
+Line 80:
-Noise covariance matrix
+ . ''Noise covariance matrix ''
-Line 61:
+Line 82:
-Source estimation (from EEG and MEG recording)
+ . ''Source estimation (from EEG and MEG recording) ''
-Line 63:
+Line 84:
-'''16:55–17:15    Analysis source level '''
+'''''16:55–17:15    Analysis source level ''' ''
-Line 65:
+Line 86:
-Cortex parcellations: Atlases and scouts
+ . ''Cortex parcellations: Atlases and scouts ''
-Line 67:
+Line 88:
-Noise covariance matrix
+ . ''Noise covariance matrix ''
-Line 69:
+Line 90:
-Source estimation (from EEG and MEG recording)
+ . ''Source estimation (from EEG and MEG recording) ''
-Line 71:
+Line 92:
-===== THURSDAY 19th =====
'' ''
+== THURSDAY 19th ==
'''5:30 –'''  [''Global''] Deep Neural Network (DNN) analysis for MEEG data '' ''
-Line 74:
+Line 95:
-''5:30 –  [''Global''] Deep Neural Network (DNN) analysis for MEEG data ''
+'''8:30   –''' ''' Continental Breakfast''' '' ''
-Line 76:
+Line 97:
-''8:30   – ''' Continental Breakfast''' ''
+'''9:00 – 17:30  –'''  [''Local'']   Machine Learning and EEG '' ''
-Line 78:
+Line 99:
-''9:00 – 17:30  –  [''Local'']   Machine Learning and EEG ''
+'''Session 1: Computational Tools and Pipelines for ML analysis; session chair: Richard Leahy.'' '' '''
-Line 80:
+Line 101:
- . ''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”'' ''
+ . '''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):'' ''
-Line 89:
+Line 104:
-'''''  Lunch ''''''Break (12:00–13:00)''' ''
+ . ''“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 91:
+Line 112:
-'''''  Session 3: Machine Learning for brain computer interfaces; session chair: Shrikanth Narayanan''' ''
+'''Session 2: Self Supervised Leaning; session chair: Takfarinas Medani '' '' '''
-Line 93:
+Line 114:
- . ''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”'' ''
+ . '''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 97:
+Line 119:
-'''''  Panel Discussion''' ''
+Lunch Break (12:00–13:00)''' '' '' '''
-Line 99:
+Line 121:
- . ''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 101:
+Line 123:
-'''''  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 103:
+Line 130:
-'''''  Session 4: Machine Learning for neurological disorders; session chair: Kristina Lerman''' ''
+'''Panel Discussion'' '''''
-Line 105:
+Line 132:
- . ''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”'' ''
+ . '''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 109:
+Line 135:
-'''''  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

Cutting Garden 2023: Los Angeles Garden!

WEDNESDAY 18th

THURSDAY 19th