Newsletter 1 - BCI LATAM
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BCI_LATAM_Community
Apr 22, 2024, 5:06:30 AM4/22/24
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Dear BCI community.
As the organiser of the Essex Brain-Computer Interfaces and Neural Engineering (BCI-NE) webinar series, I am emailing to advertise our next online seminar:
Prof Anne-Marie Brouwer, whose talk is entitled "Monitoring attentional engagement though interpersonal physiological synchrony"
Abstract: Continuous and implicit measures of individuals' attention would be useful for a range of application. Brain responses can tell us about individuals' level and focus of attention, but it is not straightforward to retrieve this information in real life scenarios. In this talk, I will discuss research showing that the degree to which EEG signals vary in a similar way over time between individuals is associated with attentional engagement. Our findings that this also holds for other physiological signals (heart rate and skin conductance), under various real-life or life-like circumstances, and that it predicts subsequent behavior, make interpersonal physiological synchrony a promising marker of attention for applied settings as well as ecologically valid research.
Biography: Anne-Marie Brouwer is senior scientist at TNO (Netherlands Organization for Applied Scientific Research, Soesterberg) and part-time full professor 'Mental State Monitoring' at Radboud University/Donders Centre in Nijmegen. Anne-Marie studied experimental psychology in Nijmegen and obtained her PhD on eye-hand coordination research in 2002 at the Erasmus MC in Rotterdam. Following post-docs at the Max Planck Institute in T?bingen and the University of Rochester (NY) she started working at TNO in 2007. Since 2007 her main topic of research is BCI and using brain and other physiological signals as potential sources of information about an individual's cognitive and emotional state. Anne-Marie works on basic research projects for and in collaboration with different parties, such as basic science funds, defense, and food industry. She is dedicated to explore the added value of physiological measures, connecting lab and real life studies, discuss the challenges that still exist
and finding ways to cope with these.
The seminar will be delivered over Zoom on 24th April, 2pm UK time. A link to join the seminar will be sent to all who sign up at this form shortly before the seminar: https://forms.gle/3GHUbkWiFn7bVKf16
The talk will be recorded and made available in the lab's Youtube channel shortly after.
Best wishes,
Ana
------------------------
Dr Ana Matran-Fernandez PhD
Lecturer in Neural Engineering and Artificial Intelligence
Department of Computer Science and Electronic Engineering (CSEE)
University of Essex
Office: 5B.539
E ama...@essex.ac.uk<mailto:ama...@essex.ac.uk>
Follows our first email about some news in BCI. If you have more information and want to share it with us, just replying this email.
1. Call for Abstracts for the Bernstein Conference 2024
2. Essex BCI Webinar: Prof Anne-Marie Brouwer - Monitoring attentional engagement through interpersonal physiological synchrony
3. BCI g.tec spring school
4. [CFP] Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - ESANN 2024 - Deadline 02 May
**********************************************
1. Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main
+++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++
____
Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.
www.bernstein-conference.de
____
IMPORTANT DATES
Bernstein Conference: September 29 – October 2, 2024
Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST
Deadline for travel grant applications: June 12, 2024, 15:00 CEST
Deadline for poster abstract submission: July 10, 2024, 15:00 CEST
____
ABSTRACTS
We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI).
Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/
____
TRAVEL GRANTS
To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €.
Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/
____
INVITED SPEAKERS
Dmitriy Aronov (Columbia University, USA)
Alison Barker (Max Planck Institute for Brain Research, Germany)
Helen Barron (University of Oxford, UK)
Elizabeth Buffalo (University of Washington, USA)
Alex Cayco Gajic (Ecole Normale Supérieure, France)
Jan Drugowitsch (Harvard University, USA)
Jakob Macke (University of Tübingen, Germany)
Tirin Moore (Stanford University, USA)
Mala Murthy (Princeton University, USA)
Memming Park (Champalimaud Foundation, Portugal)
Xiao-Jing Wang (New York University, USA)
____
CONFERENCE COMMITTEE
Matthias Kaschube (Conference Chair)
Srdjan Ostojic (Program Chair)
Tatiana Engel (Program Vice Chair)
Maria Eckstein (Workshop Chair)
Wiktor Młynarski (Workshop Vice Chair)
& Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke.
____
For any further questions, please contact: bernstein....@fz-juelich.de
2. Essex BCI Webinar: Prof Anne-Marie Brouwer - Monitoring attentional engagement though interpersonal physiological synchrony
+++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++
____
Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries.
www.bernstein-conference.de
____
IMPORTANT DATES
Bernstein Conference: September 29 – October 2, 2024
Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST
Deadline for travel grant applications: June 12, 2024, 15:00 CEST
Deadline for poster abstract submission: July 10, 2024, 15:00 CEST
____
ABSTRACTS
We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI).
Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/
____
TRAVEL GRANTS
To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €.
Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/travel-grants/
____
INVITED SPEAKERS
Dmitriy Aronov (Columbia University, USA)
Alison Barker (Max Planck Institute for Brain Research, Germany)
Helen Barron (University of Oxford, UK)
Elizabeth Buffalo (University of Washington, USA)
Alex Cayco Gajic (Ecole Normale Supérieure, France)
Jan Drugowitsch (Harvard University, USA)
Jakob Macke (University of Tübingen, Germany)
Tirin Moore (Stanford University, USA)
Mala Murthy (Princeton University, USA)
Memming Park (Champalimaud Foundation, Portugal)
Xiao-Jing Wang (New York University, USA)
____
CONFERENCE COMMITTEE
Matthias Kaschube (Conference Chair)
Srdjan Ostojic (Program Chair)
Tatiana Engel (Program Vice Chair)
Maria Eckstein (Workshop Chair)
Wiktor Młynarski (Workshop Vice Chair)
& Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke.
____
For any further questions, please contact: bernstein....@fz-juelich.de
2. Essex BCI Webinar: Prof Anne-Marie Brouwer - Monitoring attentional engagement though interpersonal physiological synchrony
Dear colleagues,
As the organiser of the Essex Brain-Computer Interfaces and Neural Engineering (BCI-NE) webinar series, I am emailing to advertise our next online seminar:
Prof Anne-Marie Brouwer, whose talk is entitled "Monitoring attentional engagement though interpersonal physiological synchrony"
Abstract: Continuous and implicit measures of individuals' attention would be useful for a range of application. Brain responses can tell us about individuals' level and focus of attention, but it is not straightforward to retrieve this information in real life scenarios. In this talk, I will discuss research showing that the degree to which EEG signals vary in a similar way over time between individuals is associated with attentional engagement. Our findings that this also holds for other physiological signals (heart rate and skin conductance), under various real-life or life-like circumstances, and that it predicts subsequent behavior, make interpersonal physiological synchrony a promising marker of attention for applied settings as well as ecologically valid research.
Biography: Anne-Marie Brouwer is senior scientist at TNO (Netherlands Organization for Applied Scientific Research, Soesterberg) and part-time full professor 'Mental State Monitoring' at Radboud University/Donders Centre in Nijmegen. Anne-Marie studied experimental psychology in Nijmegen and obtained her PhD on eye-hand coordination research in 2002 at the Erasmus MC in Rotterdam. Following post-docs at the Max Planck Institute in T?bingen and the University of Rochester (NY) she started working at TNO in 2007. Since 2007 her main topic of research is BCI and using brain and other physiological signals as potential sources of information about an individual's cognitive and emotional state. Anne-Marie works on basic research projects for and in collaboration with different parties, such as basic science funds, defense, and food industry. She is dedicated to explore the added value of physiological measures, connecting lab and real life studies, discuss the challenges that still exist
and finding ways to cope with these.
The seminar will be delivered over Zoom on 24th April, 2pm UK time. A link to join the seminar will be sent to all who sign up at this form shortly before the seminar: https://forms.gle/3GHUbkWiFn7bVKf16
The talk will be recorded and made available in the lab's Youtube channel shortly after.
Best wishes,
Ana
------------------------
Dr Ana Matran-Fernandez PhD
Lecturer in Neural Engineering and Artificial Intelligence
Department of Computer Science and Electronic Engineering (CSEE)
University of Essex
Office: 5B.539
E ama...@essex.ac.uk<mailto:ama...@essex.ac.uk>
**********************************************
3. BCI g.tec spring school
Today one of the biggest schools about BCI started and you can still register. It is free and virtual, organized by g.tec. Take a look at the website to enroll:
**********************************************
4. [CFP] Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI) - ESANN 2024 - Deadline 02 May
CALL FOR PAPERS CFP – Special Session
Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)
Paper Submission Deadline: 2 May 2024
European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (ESANN 2024)
October 9-11, 2024
Bruges, Belgium.
Online and on-site
http://www.esann.org
Contact Special Session: jari...@correo.iue.edu.co
The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels’ main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings.
Inside ESANN 2024, the special session “Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed.
Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the following topics:
1. Signal Processing and Feature Extraction:
I. Novel methods for preprocessing EEG signals
II. Feature extraction techniques for real-time BCI applications
2. Classification Algorithms:
I. Advanced machine learning algorithms for BCI signal classification
II. Deep learning approaches in BCI research
3. Real-time BCI Systems:
I. Development of real-time BCI systems
II. Applications and challenges in deploying BCI systems in real-time.
Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines).
Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible.
IMPORTANT DATES:
Paper submission deadline: 2 May 2024
Notification of acceptance: 16 June 2024
The ESANN 2023 conference: 9-11 October 2024
SPECIAL SESSION ORGANISERS:
Fabien Lotte (Inria, France)
Marta Molinas (NTNU, Norway)
Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia)
Bests regards!
Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)
Paper Submission Deadline: 2 May 2024
European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning (ESANN 2024)
October 9-11, 2024
Bruges, Belgium.
Online and on-site
http://www.esann.org
Contact Special Session: jari...@correo.iue.edu.co
The European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels’ main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings.
Inside ESANN 2024, the special session “Modern Machine Learning Methods for robust and real-time Brain-Computer Interfaces (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed.
Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the following topics:
1. Signal Processing and Feature Extraction:
I. Novel methods for preprocessing EEG signals
II. Feature extraction techniques for real-time BCI applications
2. Classification Algorithms:
I. Advanced machine learning algorithms for BCI signal classification
II. Deep learning approaches in BCI research
3. Real-time BCI Systems:
I. Development of real-time BCI systems
II. Applications and challenges in deploying BCI systems in real-time.
Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines).
Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible.
IMPORTANT DATES:
Paper submission deadline: 2 May 2024
Notification of acceptance: 16 June 2024
The ESANN 2023 conference: 9-11 October 2024
SPECIAL SESSION ORGANISERS:
Fabien Lotte (Inria, France)
Marta Molinas (NTNU, Norway)
Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia)
Bests regards!
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