Re: [Systems Neuroscience] Digest for systems-neuroscience@googlegroups.com - 8 updates in 8 topics

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Virginie van Wassenhove

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Sep 20, 2021, 4:23:02 AM9/20/21
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Open Postdoctoral Fellow position at NeuroSpin

As part of the Experience project (AI, VR, MEG/EEG), https://experience-project.eu/, we have one more postdoctoral position open to work 
with the Cognition & Brain Dynamics lab (CEA, INSERM, CNRS, Univ  Paris-Saclay)


Virginie van Wassenhove,PhD, Habil.
Cognition & Brain Dynamics
   Research Director CEA, Team Leader INSERM
   NeuroSpin, Univ Paris-Saclay
   Reviewing Editor eLife
   Associate Editor Journal of Cognitive Neuroscience 


On Tue, Sep 14, 2021 at 4:38 AM <systems-ne...@googlegroups.com> wrote:
Larbi Boubchir <boub...@ai.univ-paris8.fr>: Sep 12 07:27PM +0200

*CALL FOR PAPERS*
 
The 2^nd international workshop on Machine Learning for EEG Signal
Processing (MLESP 2021, https://mlesp2021.sciencesconf.org/) will be
held online, from 9 to 12 december 2021, in conjunction with the IEEE
International Conference on Bioinformatics and Biomedicine (IEEE BIBM
2021, https://ieeebibm.org/BIBM2021/)
 
*Overview*
 
EEG signal processing involves the analysis and treatment of the
electrical activity of the brain measured with Electroencephalography,
or EEG, in order to provide useful information on which decisions can be
made. The recent advances in signal processing and machine learning for
EEG data processing have brought an impressive progress to solve several
practical and challenging problems in many areas such as healthcare,
biomedicine, biomedical engineering, BCI and biometrics. The aim of this
workshop is to present and discuss the recent advances in machine
learning for EEG signal analysis and processing. We are inviting
original research work, as well as significant work-in-progress,
covering novel theories, innovative methods, and meaningful applications
that can potentially lead to significant advances in EEG data analytics.
This workshop is an opportunity to bring together academic and
industrial scientists to discuss the recent advances.
 
The topics of interest include but not limited to:
 
- EEG signal processing and analysis
- Time-frequency EEG signal analysis
- Signal processing for EEG Data
- EEG feature extraction and selection
- Machine learning for EEG signal processing
- EEG classification and Hierarchical clustering
- EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's
disease, etc.)
- Machine learning in EEG Big Data
- Deep Learning for EEG Big Data
- Neural Rehabilitation Engineering
- Brain-Computer Interface
- Neurofeedback
- EEG-based Biometrics
- Related applications
 
Important Dates
 
Oct. 25, 2021 (11:59 pm CST): Due date for full workshop papers submission
Nov. 5, 2021: Notification of paper acceptance to authors
Nov. 15, 2021: Camera-ready of accepted papers
Dec 3-6, 2021: Workshops
 
 
Paper Submission
 
- Please submit a full-length paper (up to 8 page IEEE 2-column format)
through the online submission system. You can download the format
instruction here:
http://www.ieee.org/conferences_events/conferences/publishing/templates.html
- Electronic submissions in PDF format are required.
 
Online Submission
 
https://wi-lab.com/cyberchair/2021/bibm21/index.php
 
Publication
 
All accepted papers will be published in the BIBM proceedings and IEEE
Xplore Digital Library.
 
Journal Special Issue
 
Selected high-quality papers will be invited for publication in a
special issue in highly respected journal.
 
*Contact*
 
Prof. Larbi Boubchir /(//Workshop Chair/),University of Paris 8, France
E-mail: larbi.b...@univ-paris8.fr
gabriela pipa <gabr...@pipa.biz>: Sep 06 01:09AM -0700

We are hiring! 2 PhD positions (Salary level E 13 TV-L, 65 %) available for
outstanding applicants. Deadline: 26th of September
 
Starting as soon as possible, for a period of 3 years, at the Institute of
Cognitive Science in Osnabrück, Germany.
 
The RTG Computational Cognition (funded by the German Research Foundation
(DFG)) aims at reintegrating Cognitive Science and Artificial Intelligence.
PhD students of the RTG will be educated in both subjects in order to
combine the findings of these fields and thus to get a better understanding
of human and machine intelligence. Research fields involved in the RTG are
Neuroinformatics, Neurobiopsychology, Bio-Inspired Computer Vision,
Knowledge-Based Systems, Cognitive Natural Language Processing &
Communication, Cognitive Modeling, Artificial Intelligence, and Cognitive
Computing.
The RTG is incorporated into the Cognitive Science PhD program founded in
2002. PhD students of the RTG will take advantage of an interdisciplinary
environment, which nevertheless focuses on a common research topic and
offers a broad range of methodological synergies between the projects.
For more information please visit:
https://www.comco-cms.uni-osnabrueck.de/en/open_positions.html
"Valérie Goffaux" <valerie...@uclouvain.be>: Sep 09 10:45AM

please feel free to circulate!
 
[cid:image0...@01D77327.34364690]
 
Dear colleagues,
 
As you may already know, the NEUROCOG2021<https://neurocog.be/> cognitive neuroscience workshop will take place in-person on November 23-24 2021 in Louvain-La-Neuve at the Foyer du Lac (Aula Magna). In addition to invited talks (see the list of speakers below), there will be poster sessions and a limited number of abstracts will be selected for oral presentation. We welcome contributions from all domains related to cognitive neuroscience.
 
The call for abstract is OPEN until September 15 2021 (link<https://neurocog.be/abstract-presenter-guidelines/> to abstract submission guidelines).
 
Looking forward to meeting you all there,
Valérie Goffaux, Olivier Collignon, and Camille Chatelle on behalf of the organizing committee
 
 
 
INVITED SPEAKERS: Maria Concetta Morrone (University of Pisa, Italy) •Gustavo Deco (Universitat Pompeu Fabra, Spain) •Michelle Moerel (Maastricht University, The Netherlands) •Lars Muckli (University of Glasgow, United Kingdom) •Rufin Vanrullen (Centre de Recherche Cerveau et Cognition, France) •Katharina Von Kriegstein (MPI-CBS Leipzig, Germany) •
 
The social dinner will take place at the exceptional MUSEE L<http://www.museel.be/en> on Tuesday November 23th. Short guided tour of this atypical university museum will be organized during the dinner.
"Sara A. Solla" <so...@northwestern.edu>: Sep 10 11:05AM -0500

*Integrating Human and Machine Learning for Enabling Co-Adaptive *
 
*Body-Machine Interfaces*
 
* Sandro Mussa-Ivaldi and Sara A. Solla PI’s *
 
*Northwestern University*
 
 
 
 
 
We are seeking postdoctoral applicants with interests and experience in
computational methods, machine learning, and human-machine interactions to
participate in an NSF-funded project. The goal of the project is
customizing human-machine interfaces through a collaborative interaction
between human and machine learning. This has relevance to the recovery of
function after injury to the spinal cord. The same goals apply also to
non-clinical domains. Common to the different domains is the necessity to
learn novel movement skills. The project will consider how this challenge
is met through the interaction with an adaptive interface, the body-machine
interface, that maps body motions onto commands to external devices. The
working hypotheses are H1) that through a dynamical process of learning the
human operators form an internal model of the interface and connected
device, and H2) that the human machine interface can be adapted to its
users by an update rule that tracks the learning process of the human
operator. The success of the research project will lead to a new family of
intelligent human machine interfaces capable of customizing themselves to
the evolving ability of their users. Applications, including a brief
statement, a bio sketch, and the names of two references, should be sent to
bomipro...@gmail.com
Johannes Algermissen <johannes.a...@gmail.com>: Aug 30 10:58AM +0200

Dear Colleague,
 
The registration for the EEGManyPipelines project is now open until October
3rd, 2021!
 
In this project, multiple independent teams will analyze the same data set.
Based on the applied pipelines, this project maps how different
pre-processing and analysis steps impact the results analysts’ get.
 
You can participate as an analyst in this project in teams of up to 3 people.
Each team member has to register individually. The first member to sign up
will receive a team identifier that the other members can use to join the
same team. At least one team member must have at least one publication
featuring EEG data analysis in order to qualify for participation. The
analysis phase in which teams analyze the provided data set will be from
October 2021 till April 2022.
 
You will be asked to accept our terms of agreement and submit your personal
and demographic information as well as information about your previous EEG
data analysis experience. This process will take approximately 5–10 minutes
of your time.
 
You can now sign-up to participate as an analyst in this project via
https://www.eegmanypipelines.org/registration.php
 
For questions, please contact comm...@eegmanypipelines.org.
 
Best regards,
 
 
The steering committee of the EEGManyPipelines project
Kendrick Kay <kendri...@gmail.com>: Aug 30 11:50AM -0500

The program for this year's CCN is now available at http://ccneuro.org <http://ccneuro.org/>.
 
 
Held online from Sep 7-24, 2021, the events include Keynotes & Tutorials:
 
Controversial stimuli: Optimizing experiments to adjudicate among computational hypotheses
Nikolaus Kriegeskorte, Tal Golan, Wenxuan Guo
 
Voxelwise Modeling: a powerful framework for recovering functional maps from fMRI data
Fatma Deniz, Jack Gallant, Matteo Visconti di Oleggio Castello, Tom Dupre la Tour, Mark Lescroart
 
Flexible identification of population dynamics from neural activity recordings
Mikhail Genkin and Tatiana Engel
 
 
As well as Generative Adversarial Collaborations:
 
What constitutes understanding of ventral pathway function?
Charles Connor, Gabriel Kreiman, Carlos R Ponce, Carl Craver, Margaret Livingstone, Martin Schrimpf, Binxu Wang
 
How does visual experience shape representations and transformations along the ventral stream?
Maria Bedny, Nancy Kanwisher, Olivier Collignon, Ilker Yildirim, Elizabeth Saccone, Apurva Ratan Murty, Stefania Mattioni
 
How does the brain combine generative models and direct discriminative computations in high-level vision?
James J. DiCarlo, Ralf Haefner, Leyla Isik, Talia Konkle, Nikolaus Kriegeskorte, Benjamin Peters, Nicole Rust, Kim Stachenfeld, Joshua B. Tenenbaum, Doris Tsao, Ilker Yildirim
 
What makes representations “useful”?
Ben Baker, Richard Lange, Alessandro Achille, Rosa Cao, Nikolaus Kriegeskorte, Odelia Schwartz, Xaq Pitkow
 
 
And results from the Algonauts 2021 competition.
 
 
Please visit http://ccneuro.org <http://ccneuro.org/> for more information.
 
 
--CCN organizers
anna mura <am...@ibecbarcelona.eu>: Sep 01 05:49PM +0200

Dear Colleagues,
 
The registration for the BCBT2021 summer school is now open.
Feel free to share the call for participation with your students.
 
Kind Regards
----------------------------------------------------------------
Barcelona Cognition, Brain, and Technology Summer School
13-16 September 2021
https://bcbt.specs-lab.com/bcbt21/
 
Join us for the annual "Barcelona Cognition, Brain and Technology summer school - BCBT" to be held 13-16 September 2021
 
This year, given the COVID-19 pandemic, the school will have a reduced format and will be held online.
BCBT has run with great success for the last 13th years thanks to an excellent line-up of outstanding speakers, including Nobel Laureate winner Edvard Moser and luminaries in the fields of neurosciences, psychology, biology, robotics, and AI, such as M. Arbib, S. Grillner, G. Rizzolatti, among many.
Previous BCBT lectures and the BCBT podcast interviews with many of the BCBT speakers are available online at https://www.youtube.com/user/ConvergentScienceNw/playlists and http://csnetwork.eu/talks/podcast
 
BCBT caters to students and researchers involved in projects that are in the ambit of "BIO-ICT convergence," "Brain Inspired ICT," "Cognitive systems-robotics," "Cognitive and neural systems," "Foundations of social cognition." The BCBT school promotes a shared systems-level understanding of the functional architecture of the brain and its possible emulation in artificial systems.
This year BCBT offers free registrations for students and researchers to attend online presentations and discussion sessions as they are interested. Slots for practical workshops will be organized depending on the number of attendees.
The atmosphere of the BCBT summer school is informal to stimulate in-depth discussion. There are 2 or 3 presentations in the morning, with the afternoons reserved for tutorials and projects for student participants and senior scientists with road-mapping workshops and further discussion.
 
The 2021 edition is a 1-week event, and in the first half, we will be addressing System-level understanding of the brain and its emulation in advanced technology. In the 2nd half, we will focus on Brain Function and Behavior in health and disease.
 
Check the program here https://bcbt.specs-lab.com/bcbt21/
 
Registration deadline<https://bcbt.specs-lab.com/bcbt21/registration/>: 10 September 2021
If you are interested in participating, please contact Dr. Anna Mura at am...@ibecbarcelona.eu<mailto:am...@ibecbarcelona.eu>
 
The 2021 edition of the BCBT is supported by the SPECS-lab<https://specs-lab.com/> at the Institute for Bioengineering of Catalonia, IBEC<https://ibecbarcelona.eu/>, in collaboration with EU projects: RGS@home, Rehyb, euSNN, NEST, HR-Recycler
 
BCBT is organized by:
- Paul Verschure. ICREA and IBEC Barcelona, ES
- Anna Mura, IBEC Barcelona, ES
- Tony Prescott, Sheffield Univ., UK
in Collaboration with
- Sten Grillner, Karolinska Institute, SE
 
______________________
Dr. Anna Mura - PhD
SPECS (Synthetic, Perceptive, Emotive and Cognitive Systems)<http://www.specs-lab.com/>
http://www.ibecbarcelona.eu/specs
@SPECS_lab
 
Institute for Bioengineering of Catalonia (IBEC)
Av. Eduard Maristany, 16 08019 Barcelona
Campus Diagonal Besòs, Edifici C, floor 6
Tel +34 934012545
 
Joins us
10th Living Machines conference<https://livingmachinesconference.eu/2021/> 28-30 July 2021
13th Barcelona Cognition, Brain, Technology summer school <https://bcbt.specs-lab.com/bcbt21/> 13-16 Sept 2021
 
 
 
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Radu Timofte <timoft...@gmail.com>: Sep 05 02:40PM +0200

Open Postdoc and PhD Positions in
 
Computer Vision, Image Processing, and Machine Learning
(Apologies for cross-postings.)
 
The Computer Vision Laboratory led by Prof. Radu Timofte, from the newly
established Center for Artificial Intelligence and Data Science
<https://www.uni-wuerzburg.de/caidas/home/>, University of Wurzburg, is
looking for outstanding candidates to fill several computer vision and
machine learning fully-funded postdoc and PhD positions
<http://people.ee.ethz.ch/~timofter/jobs/OpenPositionsJMU.pdf>.
 
Julius-Maximilians University of Würzburg (JMU), founded in 1402, is one of
the leading institutions of higher education in Germany and well-known on
the international stage for delivering research excellence with a global
impact. The University of Würzburg is proud to be the home of outstanding
researchers and fourteen Nobel Prize Laureates. Würzburg is a vibrant city
in Bavaria, Germany’s economically strongest state and home base to many
international companies. We look forward to welcoming you to the University
of Würzburg!
 
Computer Vision Laboratory and University of Würzburg in general are an
exciting environment for research, for independent thinking. Prof. Radu
Timofte’s team is highly international, with people from about 12
countries, and the members have already won awards at top conferences
(ICCV, CVPR, ICRA, NIPS, ...), founded successful spinoffs, and/or
collaborated with industry. Prof. Radu Timofte is a 2022 winner of the
prestigious Humboldt Professorship for Artificial Intelligence Award.
<https://www.humboldt-foundation.de/en/explore/newsroom/press-releases/top-international-scientists-to-strengthen-research-work-in-germany>
Prof. Radu Timofte also leads the Augmented Perception Group
<https://people.ee.ethz.ch/~timofter/> at ETH Zurich.
 
Depending on the position, the successful candidate will focus on a subset
of the following
 
Research Topics:
 
• deep learning
 
• computational photography
 
• domain translation
 
• learned image/video compression
 
• image/video super-resolution
 
• learning paradigms
 
• image/video understanding
 
• augmented and mixed reality
 
• edge inference and mobile AI
 
The tasks will involve designing, developing, and testing novel ideas in
cutting-edge research, as well as coordinating and conducting data
collection for their evaluation.
 
The successful candidate will conduct research on deep learning machines
and a new cluster with hundreds of GPUs.
 
The successful candidate will also collaborate with industry.
 
Profile
 
• Master's degree in computer science, electrical engineering, physics or
applied mathematics/ statistics
 
• Good programming knowledge and experience with Python / C++ / MATLAB
 
• Interest, prior knowledge and experience in one or more of the following
is a plus: computer vision, deep learning, machine learning, image
processing
 
• Enthusiasm for leading-edge research, team spirit, and capability of
independent problem-solving
 
• Fluent written and spoken English is a must.
 
• Postdoc applicants are expected to have a strong track of published
research, including top, high impact, journal (such as PAMI, IJCV, TIP,
NEUCOM, JMLR, CVIU) or conference (such as ICCV, CVPR, ECCV, ICRA, NeurIPS,
ICLR) papers.
 
Timeline
 
The positions are open immediately, fully funded, the salaries of the
doctoral students and postdocs are competitive on the German scales TV-L
E13 and E14, up to 60k euros per year, before tax.
 
Typically a PhD takes ~4 years and a postdoc position is for a minimum of 1
year.
 
Applications will be reviewed on a rolling basis until all the positions
are filled.
 
A first round of interviews is scheduled for 20.09.2021.
 
Application
 
Interested applicants should email asap their PDF documents (including CV,
diplomas, transcripts of records) to Prof. Radu Timofte,
radu.t...@uni-wuerzburg.de
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