Garden:

Frankfurt am Main, Germany

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About

The Frankfurt Garden is showcasing methods for invasive and non-invasive electrophysiology. We will hear some new exciting research results in the morning and work on our practical data analysis skills after that, before in the afternoon we will enjoy the shared sessions of the global events. The Frankfurt garden is an in-person event with added live-streaming of the global program. At least one global speaker will be hosted by the Frankfurt Garden.

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Topics

#Intracranial EEG, #Neural oscillations, #Speech processing

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Featured Speakers /Teachers

Esther Florin, Richard Gao, Joachim Gross, Yulia Oganian

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Tutorials

#Spectral analysis and parametrization, #Spatial filters, #Linear mixed models

Local Program

Registration

Venue

contact

Local program

Program Details

Monday (Oct 16th)

13:00Ā   – Ā  Ā  RegistrationĀ 

14:00Ā   – Ā  Ā  Opening remarks

14:30Ā   –   Ā  [ šŸŒ Global ] Theoretical advances in Cognitive Neuroscience made through MEEG
Chair:
Anne Sophie Dubarry

šŸ“ŗ Catherine Tallon-Baudry: The Gut-Brain-Consciousness Axis

šŸ“ŗ Freek Van Ede: Tracking Attentional Dynamics Across Vision, Working Memory, and ActionĀ 

šŸ“ŗ ClĆ©ment FranƧois: Emergence of language during early developement

17:30Ā   –  Ā  Ā šŸ„‚ Welcome reception & šŸ‘©šŸæā€šŸ¤ā€šŸ‘©šŸ¼ Mind Matching session

Tuesday (Oct 17th)

09:00Ā   – Ā  [ šŸ“Œ Local ]Ā  Talk session

šŸŽ¤ Joachim Gross: Decoding brain states with rhythmic and non-rhythmic features of brain signals

šŸŽ¤ Julian Kosciessa: Signal and noise in neural variability

10:15Ā   –  Ā  Ā ā˜• Break

10:45Ā   –  Ā  [ šŸ“Œ Local ]Ā  Workshops

Lecture hall:
Richard Gao: Inferring circuit mechanisms from neural power spectra: parameterization, simulation, and probabilistic machine learning
Seminar room:
Robin Schirrmeister: Deep Learning for Interpretable EEG Decoding with Braindecode

13:00Ā   – Ā  Ā  🌮 LunchĀ  &Ā  šŸ“Š Posters

14:30Ā   –   Ā  [ šŸŒ Global ] Challenges and opportunities in using real-time EEG processing and classification tools in BCI
Chair:
Marie Constance Corsi

šŸ“ŗ Reinmar Kobler: Geometric deep learning meets BCI to advance inter-session and -subject transfer

šŸ“ŗ Michael Tangermann: Facing the small data reality in event-related potential BCI protocolsĀ 

šŸ“ŗ Theresa Vaughan: Conduction BCI paradigms with patients

Wednesday (Oct 18th)

09:00Ā   – Ā  [ šŸ“Œ Local ]Ā  Talk session

šŸŽ¤ Esther Florin: Doing everything your MEG manufacturer advises you not to do – Cleaning MEG/EEG data from stimulation artifacts

šŸŽ¤ Christian Herff: Decoding Speech from Intracranial EEG

10:15Ā   –  Ā  Ā ā˜• Break

10:45Ā   –  Ā  [ šŸ“Œ Local ]Ā  Workshops

Lecture hall:
Rasa Gulbinaite: Extracting interpretable patterns from multivariate time series data using GED
Seminar room:
Adina Wagner: Manage your Data with DataLad: From local version control to data publication

13:00Ā   – Ā  Ā  🌮 LunchĀ  &Ā  šŸ“Š Posters

14:30Ā   –   Ā  Parallel session

[ šŸŒ Global ] Reproducible processing pipelines and multiverses
Chair: Yu-Fang YangĀ  [ IN FRANKFURT ]
Talks:

šŸŽ¤Ā Elena Cesnaite: EEGManyPipelines
[ IN FRANKFURT ]

šŸ“ŗ Peter Clayson: The Data-Processing Multiverse of Event-Related Potentials: Optimizing Pipelines for Experimental Effects, Data Quality, and Internal Consistency

šŸ“ŗ Andjela Soskic: Agreed Reporting Template for EEG Methodology – International Standard (ARTEM-IS)

[ šŸ“Œ Local ]Ā  Workshop

Seminar room:
Saba Sadiya, Domenic Bersch, & Gemma Roig:Ā 

Net2Brain: Unraveling cognitive functionality as captured by EEG using pre-trained artificial neural networks

19:00Ā   –  Ā  Ā šŸ½ Social Dinner: “Daheim im Lorsbacher Thal”Ā  Ā [ šŸ—ŗļø maps ]

Thursday (Oct 19th)


09:00Ā   – Ā  [ šŸ“Œ Local ]Ā  Talk session

šŸŽ¤ Yulia Oganian: Encoding models and how to use them – deciphering the cortical representation of continuous speech

šŸŽ¤ Gesa Hartwigsen: Inferring causality from non-invasive brain stimulation in Cognitive Neuroscience

10:15Ā   –  Ā  Ā ā˜• Break

10:45Ā   –  Ā  [ šŸ“Œ Local ]Ā  Workshops

Lecture hall:
Benedikt Ehinger: Linear Mixed Modeling for M/EEG data

Seminar room:
Andrew Quinn: tbd

 

 

13:00Ā   – Ā  Ā  🌮 LunchĀ Ā 

14:30Ā   –   Ā  [ šŸŒ Global ] Deep neural network analysis of MEEG data A roadmap to using machine learning with MEEG
Chair: Maximilian Chaumon

Talks:
šŸ“ŗĀ Hubert Banville: Learning M/EEG representations with self-supervision

šŸ“ŗ Maarten De Vos: Classic machine learning versus deep learning: is there a clear winner?

šŸŽ¤ Radoslaw Martin Cichy: Using artificial deep neural networks to predict and understand human vision
[ IN FRANKFURT ]

17:30Ā   –  Ā  Ā šŸ‘‹Ā Closing remarks

Global speakers

Catherine Tallon-Baudry
Freek van Ede
ClƩment FranƧois
Reinmar Kobler
Michael Tangermann
Theresa Vaughan
Elena Cesnaite šŸŽ¤
Peter Clayson
Andjela Soskic
Hubert Banville
Maarten De Vos
Radoslaw Martin Cichy šŸŽ¤

Local posters

Local speakers

Joachim Gross
Julian Kosciessa
Esther Florin
Christian Herff
Yulia Oganian
Gesa Hartwigsen

Local tutorials

Richard Gao
Robin Schirrmeister
Rasa Gulbinaite
Adina Wagner
Saba Sadiya, Domenic Bersch, & Gemma Roig
Benedikt Ehinger

University of StuttgartĀ  [ šŸ”— website ]

Linear Mixed Modeling for M/EEG data
Linear mixed models are versatile and increasingly popular in cognitive psychology to analyze behavioural datasets with within-subject trial-repetitions. Some brave researchers have already applied these hierarchical models to EEG data, typically on averaged space/time region of interest.

In this 2 h tutorial, I will revisit some of the basics and intuitions behind mixed models and extend them to the mass-univariate EEG case: fitting mixed models to all time-point and channels using the Unfold.jl & MixedModels.jl toolboxes in JuliaLang. You will be provided with interactive notebooks that run in your browser.

We will explore together some implications and challenges of running such mass univariate LMMs: baseline periods, identifiability of random and item effects, and “usefulness”.

I want to warn you though, I cannot provide a satisfactory answer to many of the issues that we will discuss in the workshop. My goal is rather to leave you with a sense of scientific curiosity, and the simulation- and analysis-tools to explore some of those issues yourself.

Andrew Quinn

Funding

Register for the Frankfurt Garden

Registration form

We are at full capacity for now!

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Registration

  • The form is to attend theĀ Frankfurt Garden only.
  • Please first read the registration form regarding the CuttingEEG membership and follow the instructions carefully.
  • To register it is mandatory to become a member of the Cutting EEG association.
  • The registration is handled according to first-come, first-served principle.

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The Frankfurt garden is full.

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Abstracts

  • Abstract deadline: September 7th
  • Information about the submission of abstracts (<2500 characters) will be sent to registered participants via email.
  • We will accept posters in three different categories:
    1. planned study
    2. collected data
    3. analyzed data

For details and background about the different poster categories, you can take a look at the extensive information provided for the last CuttingEEG conference in 2021.

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Registration Fee

  • The registration fee is 200 Euro (incl. the CuttingEEG membership).
  • The fee can only be paid by bank transfer.
  • Payment of the registration fee: before September 7th.

Venue – How to reach the Frankfurt Garden

Venue

The Ernst Strüngmann Institute (ESI) for Neuroscience is a private research institute focused on cognitive brain research, cooperating closely with the Max Planck Society

Arrival and Stay in Frankfurt

Frankfurt can be reached easily by train and we recommend this heavily to reduce carbon footprint.

Coming to the ESI by public transportation

From the main station, the institute can be reached easily with public transportation (~10 minutes). The tram stop just across the institute is called ā€œHeinrich-Hoffmann-Straße/Blutspendedienstā€ and can be researched with a direct connection (Line 21) from the main-station. For more details and other forms of transportation check the institute website: https://www.esi-frankfurt.de/contact/ as well as the website of the local transportation network. https://www.rmv.de

Accommodation

Please note that the week of the conference is a fair week in Frankfurt again, so be sure to book your accommodation as far in advance as possible.

Contact the Frankfurt team

Natalie Schaworonkow

Amit Rawal

Felix Klotzsche

Kyle Kahraman

Roxanne Lofredi

Tommaso Tosato

Contact the Global team

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contact@cuttingeeg.org