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- 12 participants
- 7395 messages
Postdoc/student workshop at Washington University in St Louis
by Goodhill, Geoffrey
Opportunity for postdocs and senior graduate students!
The recently established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its second Computational Neuroscience Next Generation symposium, September 16-17th 2024: https://ctcn.wustl.edu/next-gen-symposium
The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including:
- Presenting their work during the symposium, which will also feature leading WashU neuroscientists.
- One-on-one meetings with faculty.
- Informal discussions with the Washington University computational and theoretical neuroscience community.
Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators.
The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is June 15th.
Professor Geoffrey J Goodhill
Departments of Developmental Biology and Neuroscience
Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu)
Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering
Washington University School of Medicine
4370 Duncan Ave.
St Louis, MO 63110
g.goodhill(a)wustl.edu
https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd
May 24, 2024
[Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly
Dear All
*Apologies for cross-posting*
We are pleased to announce an opportunity for a funded PhD studentship
(*Delivering
Functional Imagery Training via Generative AI To Improve Access to
Effective Psychological Interventions for Health*) at Plymouth University,
UK. The closing date for applications is *29**th May 2024 (**midnight, UK
time) **(**The difference in tuition fees between national and
international students will be waived for excellent international
candidates**)*.
Join our interdisciplinary team to shape the future of mental health care. *AI
models like ChatGPT* fundamentally change the landscape for the automated
delivery of psychological interventions. These models will likely make it
possible to deliver *psychologically-informed treatment* at scale, meeting
a substantial unmet need for these services.
This project will develop datasets and software to deliver *Functional
Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied
agents (robots)*. As a person-centred intervention, FIT presents an
interesting challenge: the practitioner or AI must tailor responses to the
content of what the 'client' says, and guide mental imagery exercises based
on that personal content. By building an interdisciplinary team of
psychologists and machine learning experts this project will deliver
real-world impact with broad implications for mental healthcare. More
details *about the topic *and *how to apply* are available at:
https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…
<https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…>
PhD Studentship: FIT for All: Delivering Functional Imagery Training via
Generative AI To Improve Access to Effective Psychological Interventions
for Health at University of Plymouth
<https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…>
jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering
Functional Imagery Training via Generative AI To Improve Access to
Effective Psychological Interventions for Health. Discover exciting PhD
opportunities on jobs.ac.uk.
www.jobs.ac.uk
If you have any questions, please don't hesitate to contact me,
Regards
----------------
*Dr. Amir Aly*
Lecturer in Artificial Intelligence and Robotics
Programme Manager of Artificial Intelligence
Center for Robotics and Neural Systems (CRNS)
School of Engineering, Computing, and Mathematics
Room A307 Portland Square, Drake Circus, PL4 8AA
University of Plymouth, UK
------------------------------
<http://www.plymouth.ac.uk/worldclass>
May 23, 2024
Mentors Needed for Neuromatch Academy!
by Courtney Dean
Hello!
*I invite you to join Neuromatch Academy as a mentor for our online
academies in July! *We have outstanding students from over 100 countries,
many of whom lack career connections. If you are passionate about nurturing
talent in neuroscience or artificial intelligence, please apply here. We
are accepting applicants on a rolling basis.
*As a mentor, you will provide advice to students about their academic and
professional journeys with just one hour per week.* There is no prior
preparation required. Here is what you will do:
- Mentor a small group of students matched with your expertise and
preferences.
- Discuss professional development topics of your preference, such as
PhD applications, work-life balance, and careers in academia/industry.
- Guide students by sharing your experiences and discussing their
questions during sessions, which will occur once a week during the course.
We offer three dynamic courses:
- Computational Neuroscience
<https://neuromatch.io/computational-neuroscience-course/> (July 8-26)
- Deep Learning <https://neuromatch.io/deep-learning-course/> (July 8-26)
- NeuroAI <https://neuromatch.io/neuroai-course/> (July 15-26) -- *we
are especially in need of mentors for this course! *
Choose a course aligned with your expertise and interests, and we will
match you with students eager to explore that field alongside you. Your
commitment can shape the future of these fields.
Join us in empowering the next generation of scientists!
*To sign up and for more information please visit our mentorship program*
*webpage:* https://neuromatch.io/mentoring/
If you have any additional questions, please reach out to
mentors(a)neuromatch.io.
Best,
Avisha & Angelo
Co-chairs Professional Development | Neuromatch
--
*Courtney Dean (she, her) *
Project Manager
Schedule a meeting with me! <https://calendly.com/courtney-s-dean>
c. 720.371.6559
May 22, 2024
Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission
by Alexander Lammers
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<http://www.bernstein-conference.de>
____
IMPORTANT DATES
* 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
* Bernstein Conference: September 29 – October 2, 2024
____
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/t…
____
INVITED SPEAKERS
Dmitriy Aronov (Columbia University, USA)
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)
Susanne Schreiber (Humboldt Universität zu Berlin, Germany)
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.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de>
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
Forschungszentrum Jülich GmbH
52425 Jülich
Sitz der Gesellschaft: Jülich
Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498
Vorsitzender des Aufsichtsrats: MinDir Stefan Müller
Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende),
Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens
------------------------------------------------------------------------------------------------
------------------------------------------------------------------------------------------------
May 22, 2024
PhD in computational neurosciences at CerCo (CNRS UMR 5549, Toulouse France)
by MASQUELIER Timothee
Fully funded PhD fellowship in computational neurosciences
at the CerCo laboratory (CNRS UMR 5549, Toulouse France) and in collaboration with the IPAL laboratory (IRL 2955, Singapore)
Benoit Cottereau / Timothée Masquelier
Starting date: Second semester of 2024
Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo,
contact: timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>)
Keywords: Vision, Computational neurosciences, Artificial intelligence (AI), Spiking neural networks, Event-based cameras, Neuro-ophthalmology.
A fully funded PhD fellowships is available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director) and Timothée Masquelier (CNRS research director). The aim of the project is to develop computational models that explain how the visual system evolves following the onset of pathologies associated with visual field deficits (e.g., in patients with macular degeneration or retinis pigmentosa). We will be specifically interested in the neuroplasticity mechanisms that may underly the visual rehabilitations observed in some animal models of these pathologies (see e.g., Shao et al., 2014; Burnat et al., 2017). It will be realized using spiking neural networks trained with data collected by event-based cameras from partially occluded visual scenes (see e.g., Moore et al., 2021). The outputs of the networks after training will be compared to those observed in neural recordings and/or in behavioural experiments realized in patients (the CerCo has a privileged connection with the Retina Center of the Purpan hospital in Toulouse).
The candidates should be willing to work in a multidisciplinary environment which combines AI, neurosciences and ophthalmology, have a good level in English, very good mathematical and programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus.
The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. The position will be fully funded during the three years of the PhD, with standard French salaries.
Applications should be sent to benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr> and timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>, including a CV and 2 names of references.
References:
- Burnat, K., Hu, T. T., Kossut, M., Eysel, U. T., & Arckens, L. (2017). Plasticity beyond V1: reinforcement of motion perception upon binocular central retinal lesions in adulthood. Journal of Neuroscience, 37(37), 8989-8999.
- Moore, J. A., Tuladhar, A., Ismail, Z., Mouches, P., Wilms, M., & Forkert, N. D. (2023). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics, 21(1), 45-55.
- Shao, Y., Keliris, G. A., Papanikolaou, A., Fischer, M. D., Zobor, D., Jägle, H., ... & Smirnakis, S. M. (2013). Visual cortex organisation in a macaque monkey with macular degeneration. European journal of neuroscience, 38(10), 3456-3464.
May 22, 2024
PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer
PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years)
The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students.
Requirements
* Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible.
* Good knowledge of statistics and machine learning (practical experience with large language models is a plus).
* Excellent knowledge of English and good academic writing skills.
What we offer
* A full-time position.
* The selected candidate will receive a contract for six years.
* You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%.
* A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0.
* A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually).
* Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary.
* Assistance in finding accommodation (for foreign employees).
* Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities.
The collective labor agreement of the Dutch Universities applies.
Information and application
More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab.
To apply, please submit:
* a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it;
* a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees;
* a sample of writing, such as your Master’s thesis or a relevant paper;
* contact details of two academic referees.
The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024.
Neurocomputation of Language lab
The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne…
The department of Cognitive Science & Artificial Intelligence (CSAI)
The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries.
Tilburg School of Humanities and Digital Sciences
Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees.
Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/>
Recruitment code
Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP).
Disclaimer
The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled.
--
[ Dr. Harm Brouwer, Associate Professor
[ Cognitive Science and Artificial Intelligence, Tilburg University
[ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>
[ http://www.hbrouwer.eu/
May 22, 2024
World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics
by David Hansel
[image: VVTNS.png]
https://www.wwtns.online - on twitter: wwtns@TheoreticalWide
You are cordially invited to the lecture given by
Yu Hu
Hong Kong University
of Science and Technology
on the topic of
"How random connections and motifs shape the covariance spectrum of
recurrent network dynamics*"*
The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT *
To receive the zoom link: https://www.wwtns.online/register-page
*Abstract: *Theoretical neuroscience aims to understand the relationship
between neuron dynamics and connectivity in recurrent circuits. This has
been intensively studied at the local level, where dynamics is described by
pairwise correlations. Recent advances in simultaneous recordings of many
neurons have allowed researchers to address the question at the global
level, such as for the dimensionality of population dynamics. Our work
contributes to this effort by analyzing the impact of connectivity
statistics, including certain motifs, on the bulk and outlier covariance
eigenvalues. By considering linearized dynamics around a steady state, we
obtained analytically the covariance spectrum which exhibits a signature
long tail robust to model variants and matches zebrafish calcium imaging
data. This provides a local circuit mechanism for shaping the geometry of
population dynamics and a quantitative benchmark for interpreting data.
*About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in
November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam
(April 20, 2022), its aim is to be a platform to exchange ideas among
theoreticians. Speakers have the occasion to talk about theoretical aspects
of their work which cannot be discussed in a setting where the majority of
the audience consists of experimentalists. The seminars, **held on
Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The
talks are recorded with authorization of the speaker and are available to
everybody on our YouTube channel.*
ᐧ
ᐧ
ᐧ
ᐧ
ᐧ
--
"В каждой шутке есть доля шутки"
'Life is good ..' (Carl van Vreeswijk, 1962-2022)
---------------------------------------
David Hansel
Directeur de Recherche au CNRS
Co-Group leader
Cerebral Dynamics Plasticity and Learning lab., CNRS
45 rue des Saints Peres 75270 Paris Cedex 06
Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62
*CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that
might be attached, are addressed exclusively to their(s) recipient(s) and
may contain privileged or confidential information. The access to this
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are not the indicated recipient, you are notified that the use, disclosure
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legislation. If you have received this message in error, please kindly
inform the sender immediately and proceed to its destruction.*
ᐧ
May 19, 2024
The Basque ASTROTECH Computational Neuroscience Meeting (Bilbao, June 4-6, 2024)
by De Pitta, Maurizio
Dear Colleagues,
Please share and disseminate among your networks.
We are happy to announce the Basque ASTROTECH Computational Neuroscience Meeting, which will be held June 4–6, 2024, at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain.
The Basque ASTROTECH Computational Neuroscience Meeting presents state-of-the-art neural and glial data analysis and modeling research by leading neurotech researchers based in the Basque Country (Spain).
The Basque ASTROTECH Computational Neuroscience Meeting is sponsored by the H2020 ASTROTECH European Training Network and is an excellent opportunity for young researchers and professionals in the Basque Country, Spain, and internationally to learn about some of the latest advancements in neuron-glial paradigms of brain function at the interface of computational neuroscience, machine learning, and neurotech.
Attendance at the meeting is free, but pre-registration is required due to limited seating.
For more information:
Meeting Website: https://sites.google.com/view/basque-astrotech-cns-workshop
Registration Website: https://www.bcamath.org/events/ba-cnm-astrotech/en/registration/
I look forward to meeting you in Bilbao in June.
Maurizio De Pitta
///////////////////////////////////////////////////////////////////////////////////////////////
The Basque ASTROTECH Computational Neuroscience Meeting
Basque Center for Applied Mathematics (BCAM), Bilbao, Spain
June 4–6, 2024.
///////////////////////////////////////////////////////////////////////////////////////////////
*****************
Day 1 (June 4, 2024)
*****************
MORNING SYMPOSIUM: Applied And Functional ModellingMultiscale functional and structural brain networks in health and disease
Jesus Cortes (BioCruces Hospital Clinic)
Multiscale functional and structural brain networks in health and disease
Craig Richter (BCBL–Basque Center On Cognition, Brain and Language)
Discovering functional networks using coupled cortical oscillations
Paolo Bonifazi (BioCruces Hospital Clinic)
Linking hubs, embryonic neurogenesis, transcriptomic, and diseases in human brain networks
Maurizio De Pitta (BCAM–Basque Center for Applied Mathematics and the Krembil Research Institute)
Neuron-Glial Circuits Across the Cognitive Spectrum
AFTERNOON LAB. Modeling Neuron-Glial Interactions: From Tripartite-Synapses to Neuron-Glial Networks.
Curator: Maurizio De Pitta (BCAM/Krembil)
*****************
Day 2 (June 5, 2024)
*****************
MORNING SYMPOSIUM: The Attractor Framework in Computational Neuroscience.
Miguel Aguilera (BCAM)
Nonequilibrium associative memories in neuroscience and machine learning
Daniele De Martino (Biofizika Institute)
Feedback Ising models neural networks dynamics
Dmitry Sinelshchikov (Biofizika Institute and CSIC-UPV/EHU)
Nonlinear dynamics in small groups of Hindmarsh-Rose neurons
Gorka Zamora-Lopez, Pompeu Fabra University (UPF)
Emergence of modular and hierarchical neural networks driven by learning of external stimuli
AFTERNOON LAB. Glial Functional Readouts: Hodgkin-Huxley models and their extension to Glial Calcium Modeling.
Curator: Maurizio De Pitta (BCAM/Krembil)
*****************
Day 3 (June 6, 2024)
*****************
MORNING SYMPOSIUM. Multi-scale Tools to Model the Brain
Romina Baila (CODEMART)
The Virtual Brain /1: Architectural view over a modeling tool for full brain simulation
The Virtual Brain /2: How to Harness The Virtual Brain Capability
Christophe Bernard (INSERM and Aix-Marseille University)
Digital twin technology to better understand and treat the brain
Ignacio Arganda-Carreras (University of the Basque Country, DIPC, and Biofisika Institute)
BiaPy: Bioimage analysis workflow for all audiences
AFTERNOON LAB. Physics of the Neuron-Glia-Vascular Tissue.
Curator: Michelangelo Volpi (BCAM)
-----
Maurizio DE PITTA
Principal Investigator
Neuron-Glia Interactions Lab (NGILab)
Krembil Research Institute, 4KD-509
60 Leonard Ave, Toronto, ON M5T 0S8, CA
+1.416.603.5800 ext. 3290
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May 18, 2024
Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 May
by ICAS Organizing Committee
* Apologies for multiple copies. Please forward to anybody who might be
interested, thanks *
* Last seats left, hurry up and register! *
There are still some spots available on the Advanced Course on Generative
AI - ACDL 2024. To participate your registration fee has to be received by
*23 May* so please register asap! See you in Tuscany in June!
https://acdl2024.icas.events
#ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI
ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge
advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures
delivered by world-renowned experts.
If
you want to learn
NLP, Generative AI
Transformers, Diffusion Models,
Large language models,
Vision - Large-scale vision models,
Vision and language,
Beyond vision and language,
Multimodal Foundation Models
and much more
then
take part in ACDL 2024! ;-)
Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14
https://acdl2024.icas.events
acdl(a)icas.cc
EARLY REGISTRATION: by May 23 (AoE)
https://acdl2024.icas.events/registration/
Oral Presentation Submission Deadline: by May 23 (AoE)
LECTURERS:
Each Lecturer will hold up to four lectures on one or more research topics.
https://acdl2024.icas.events/lecturers/
* Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award*
Lecture: “Artificial Intelligence: Where We Are, Where We Are Going?”
* Gabriel Barth-Maron, DeepMind, London, UK
4 Lessons on "Multimodal Foundation Models"
* Sergiy Butenko, Texas A&M University, USA
“Cluster-detection Methods in Network-based Data Analysis”
“Continuous Approaches to Cluster-Detection Problems in Networks ”
* Sven Giesselbach, Fraunhofer Institute - IAIS, Germany
5 Lessons on "Introduction on Foundation Models"
* Ramin Hasani, MIT, USA
4 Lessons on "Continuous Neural Networks / Liquid Neural Networks"
* Nora Kassner, DeepMind, London, UK
"Large Language Models: Life after Pre-training"
"Large Language Models: Evaluation"
"Large Language Models: Reasoning and Factuality"
"Large Language Models: Retrieval augmentation and Tool-use"
* Petros Koumoutsakos, Harvard University, USA
“Machine Learning for Modeling and Control of Complex Systems” 1/2
“Machine Learning for Modeling and Control of Complex Systems” 2/2
“Solving forward and inverse problems with and without neural networks”
“Bayesian Uncertainty Quantification”
* Maria Liakata, The Alan Turing Institute, UK
4 Lessons on "Longitudinal Language Processing with User Generated Content"
* Panos Pardalos, University of Florida, USA
Lecture TBA
Topics: Data Science, Application to Neuroscience
* Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands
4 Lessons on “Deep Generative Modelling”
* Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands
3 Lessons on "Diffusion Models"
* Pascal Van Hentenryck, Georgia Institute of Technology, USA
3 Lessons on "Fusing Machine Learning and Optimization for Engineering"
* Max Welling, University of Amsterdam, The Netherlands
Lecture "Generalized Belief Propagation Algorithms for Tensor Network
Contractions"
PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/
ACDL 2024 VENUE: https://acdl2024.icas.events/venue/
Riva del Sole Resort & SPA
Località Riva del Sole‚ Castiglione della Pescaia (Grosseto)
CAP 58043‚ Tuscany‚ Italy
p: +39-0564-928111
e: booking.events(a)rivadelsole.it
w: https://www.rivadelsole.it/en/
PAST EDITIONS: https://acdl2024.icas.events/past-editions/
REGISTRATION: https://acdl2024.icas.events/registration/
CERTIFICATE & 8 ECTS:
PhD students, Postdocs, Industry Practitioners, Junior and Senior
Academics, and will be typical profiles of the ACDL attendants. The Course
will involve a total of 36-40 hours of lectures, according to the academic
system the final achievement will be equivalent to 8 ECTS points for the
PhD Students (and some strongly motivated master student) attending the
Course. At the end of the course, a formal certificate will be delivered
indicating the 8 ECTS points.
TO PARTICIPATE IN ACDL 2024, all attendants must
(1/2) register for the course (by May 23) and
(2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚
(by May 23); all attendants must stay at the Riva del Sole Resort & SPA.
Once accommodation has been booked at Riva del Sole Resort & SPA‚ the
participant must send this information (including the Booking Number) to
the ACDL organizing committee (acdl(a)icas.cc)
ACDL is a residential course, so all lecturers and participants must reside
in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made.
For privacy reasons, the Hotel cannot match people. If you have someone to
share the apartment with, please send to the Hotel (
booking.events(a)rivadelsole.it) the name, surname and email address.
Otherwise the solution is to book an apartment in single use.
Anyone interested in participating in ACDL 2024 should register as soon as
possible.
See you in Riva del Sole in June!
Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors.
ACDL 2024 Scientific & Organizing Committees.
https://acdl2024.icas.events
acdl(a)icas.cc
*7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14
June
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany,
Italy
An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders
*Early Registration: by February 23, 2024 (AoE)*
The Course is equivalent to 8 ECTS points for the PhD Students and the
Master Students attending the Course.
https://acdl2024.icas.events/
*10th International Conference on Learning, Optimization and Data – LOD
2024, *22–25 September
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany,
Italy
https://lod2024.icas.events/
lod(a)icas.cc
*Submission Deadline: March 23*
*4th Advanced Course ** and Symposium **on Artificial Intelligence and
Neuroscience – ACAIN 2024,* 22–25 September
Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany,
Italy
https://acain2024.icas.events/
acain(a)icas.cc
*Symposium Submission Deadline: March 23 *
*Early Registration Deadline for the Course: March 23*
The Course is equivalent to 8 ECTS points for the PhD Students and the
Master Students attending the Course.
*ICAS* *-* *The Interdisciplinary Centre of Advanced Studies*
https://icas.cc/
May 18, 2024
Grand Challenge on Neural Decoding at BioCAS 2024
by Prof. Arindam BASU
Apologies for Cross posting
----------------------------------
Dear all
We are pleased to announce the Grand Challenge on “Neural Decoding for Motor Control of non-Human Primates” at IEEE BioCAS 2024.
About
The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc.
An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant. Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction.
This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs.
Timeline
Start of Registration Friday, Apr 26, 2024
Start of Project Submission Wednesday, May 1, 2024
End of Registration/ Regular Paper Submission Friday, May 27, 2024
End of Project Submission Friday, Aug 2, 2024
Author Notification Date Friday, Aug 16, 2024
Final paper submission deadline Friday, Sep 6, 2024
Conference Registration Friday, Oct 4, 2024
Participation
1. The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3.
2. To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action.
3. Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6 ). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as “Grand Challenge”, by May 27, 2024.
Awards
Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper –the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates.
For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/
You may also email the organizers as listed below. We look forward to receiving your submissions!
Thanking you,
Organizers
Biyan Zhou, City University of Hong Kong
Pao-Sheng Vincent Sun, City University of Hong Kong
Jason Yik, Harvard University
Charlotte Frenkel, Delft University of Technology
Vijay Janapa Reddi, Harvard University
Arindam Basu, City University of Hong Kong
(Email: byzhou4-c(a)my.cityu.edu.hk<mailto:byzhou4-c@my.cityu.edu.hk>; vincesun-c(a)my.cityu.edu.hk<mailto:vincesun-c@my.cityu.edu.hk>; jyik(a)g.harvard.edu<mailto:jyik@g.harvard.edu> )
--
Regards
Arindam Basu
Professor, Dept. of EE
City University of Hong Kong
Associate EiC, IEEE TBCAS
Editorial Board Member of IOP Neuromorphic Computing and Engineering
Associate Editor of IEEE Sensors & Frontiers in Neuroscience
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May 18, 2024