September 2023 - Comp-neuro - lists.cnsorg.org

Subject: COMPLEX NETWORKS 2023 Menton Riviera France Submission Deadline Extended Sept 11, 2023

by Fabian Braesemann

You are cordially invited to submit your contribution until September 11, 2023 (Extended Firm Deadline). 12 th International Conference on Complex Networks & Their Applications Menton Riviera<https://www.menton-riviera-merveilles.co.uk/>, France November 28 - 30, 2023 COMPLEX NETWORKS 2023<https://complexnetworks.org/> KEYNOTE SPEAKERS • Michael Bronstein<https://www.cs.ox.ac.uk/people/michael.bronstein/> University of Oxford UK • Kathleen Carley<https://www.cylab.cmu.edu/directory/bios/carley-kathleen.html> Carnegie Mellon University USA • Manlio De Domenico<https://manliodedomenico.com/> University of Padua Italy • Danai Koutra<http://web.eecs.umich.edu/~dkoutra/> University of Michigan USA • Romualdo Pastor-Satorras<http://www.fen.upc.edu/~romu/> Univ. Politècnica de Catalunya Spain • Tao Zhou<https://scholar.google.com/citations?user=MXgWgmEAAAAJ&hl=en> USTC China TUTORIALS • Tiago de Paula Peixoto<https://skewed.de/tiago> CEU Vienna Austria • Maria Liakata<https://www.turing.ac.uk/people/researchers/maria-liakata> Queen Mary University of London UK SUBMISSION You can submit at : https://complexnetworks.org/submission/ • A Full paper (not previously published work up to 12 pages) • An Extended Abstract (about published or unpublished research up to 4 pages) PUBLICATION • Papers will be included in the conference proceedings edited by Springer • Extended abstracts will be published in the Book of Abstracts (with ISBN) • Extended versions will be invited for publication in special issues of international journals: o Applied Network Science<https://appliednetsci.springeropen.com/> edited by Springer o Advances in Complex Systems<https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems <https://www.complex-systems.com/about/> o Entropy<https://www.mdpi.com/journal/entropy> edited by MDPI o PLOS Complex systems<https://plos.org/complex-systems-research-journal/> o PLOS<https://journals.plos.org/plosone/> one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer TOPICS Topics include, but are not limited to: o Models of Complex Networks o Structural Network Properties and Analysis o Epidemics o Community Structure o Motifs o Network Mining o Network embedding o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Controllability o Synchronization o Visual Representation o Large-scale Graph Analytics o Social Reputation, Influence, and Trust o Information Spreading in Social Media o Rumour and Viral Marketing in Social Networks o Recommendation Systems o Financial and Economic Networks o Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics o Earth Sciences Applications o Resilience and Robustness of Complex Networks o Networks for Physical Infrastructures o Networks, Smart Cities and Smart Grids o Political networks o Supply chain networks o Complex networks and information systems o Complex networks and CPS/IoT o Graph signal processing o Cognitive Network Science o Network Medicine o Network Neuroscience o Quantifying success through network analysis o Temporal and spatial networks o Historical Networks o Graph-Based Natural Language Processing GENERAL CHAIRS Hocine Cherifi (University of Burgundy, France) Luis M. Rocha (Binghamton University, USA) --- Dr Fabian Braesemann Departmental Research Lecturer in AI & Work Oxford Internet Institute University of Oxford Publicity Co-Chair 12th International Conference on Complex Networks & Their Applications 28 - 30 November, 2023, French Riviera, France fabian.braesemann(a)oii.ox.ac.uk<mailto:fabian.braesemann@oii.ox.ac.uk> +44 7731 700 704 Google Scholar<https://scholar.google.at/citations?user=L2AXGNwAAAAJ&hl=en> | LinkedIn<https://uk.linkedin.com/in/fabian-braesemann-210645138> Oxford Internet Institute University of Oxford 1 St Giles Oxford, OX1 3JS

Sept. 6, 2023

Modellers Workshop for the Brain Dynamics Toolbox

by Stewart Heitmann

Enrolments for the Modeller’s Workshop for the Brain Dynamics Toolbox are now open. Master the art of programming dynamical systems in Matlab using the Brain Dynamics Toolbox. This online course is for researchers, students and instructors who wish to build their own models. Each step is explained in a short video lecture with a practical focus on programming techniques. Topics include Ordinary Differential Equations (ODEs), Delay Differential Equations (DDEs), Stochastic Differential Equations (SDEs), Partial Differential Equations (PDEs), model-specific plotting functions and command-line tools. Example code is provided in all cases. Study time is 8 hours. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Information The course is limited to 25 students. Enrolments close 30th Sep 2023. Stewart Heitmann Disclaimer The information contained in this communication from the sender is confidential. It is intended solely for use by the recipient and others authorized to receive it. If you are not the recipient, you are hereby notified that any disclosure, copying, distribution or taking action in relation of the contents of this information is strictly prohibited and may be unlawful. This email has been scanned for viruses and malware, and may have been automatically archived by Mimecast Ltd, an innovator in Software as a Service (SaaS) for business. Providing a safer and more useful place for your human generated data. Specializing in; Security, archiving and compliance. To find out more visit the Mimecast website.

Sept. 5, 2023

Register today: INCF Neuroinformatics Assembly 2023

by INCF

There's still time to register for Assembly! *INCF Neuroinformatics Assembly 2023* *Sep 18-20, 2023* *Virtual via Gather* Abstracts due Sep 11, 2023 Regular registration: 50 USD Student registration: 20 USD **Discounted registration for INCF members** Learn about and share the latest advancements in neuroinformatics! This year’s theme is Transparency in FAIR Neuroinformatics and the following topics will be represented at the assembly: - "Opening the black box”: How to make AI/ML interpretable for Neuroinformatics - Neuroscience data integration through use of Digital Brain Atlases - *2 PhD credits!* - “A FAIR share”: The feasibility and scalability of data sharing from the infrastructure POV - A FAIR roadmap for knowledge graphs and ontologies - “Is this FAIR?”: Transparency in EDI & career development & management - From repositories to workflows: A FAIR roadmap for building and endorsing tools *Register today: *neuroinformatics.incf.org/assembly22-registration *Submit your abstract: *neuroinformatics.incf.org/abstract-submission *Learn more: *neuroinformatics.incf.org

Sept. 5, 2023

Two postdoctoral (senior research officer) positions in Essex Brain-Computer Interfaces and Neural Engineering Laboratory

by Poli, Riccardo

Dear all, We have two senior research officer (post-doc) jobs available on our “semantic brain-computer interface” project led by Dr Ian Daly with myself (Riccardo Poli) and Silke Paulmann (in Psychology) within the Essex Brain-Computer Interfaces and Neural Engineering Laboratory.<https://www.essex.ac.uk/departments/computer-science-and-electronic-enginee…> These are three-year full-time positions to work on developing decoding models for EEG-fNIRS signals and BCI devices. Full details: https://hrorganiser.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.ope… Deadline: 13th October 2023 Many thanks, Riccardo -- Prof Riccardo Poli https://www.essex.ac.uk/people/polir15101/riccardo-poli E-mail: rpoli(a)essex.ac.uk<mailto:rpoli@essex.ac.uk> Zoom: https://essex-university.zoom.us/my/rpoli Address: School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ, UK

Sept. 5, 2023

postdoc position announcement at INMED (Marseille)

by Lorenzo Fontolan

An ERC-funded postdoctoral position is available in the Cossart lab at the Mediterranean Institute of Neurobiology (INSERM, Aix-Marseille University, Marseille, France) to work in a collaborative, interdisciplinary, and friendly environment (by the Calanques). The Cossart lab aims at understanding memory circuits in the brain and describing how they develop in health and disease. To this aim, we use cutting-edge optical, computational, and data analysis methods. The candidate will apply their skills to extract information from our datasets, build computational models to make predictions, and work in close collaboration with experimentalists. The candidate will be co-supervised by Dr. Lorenzo Fontolan, a computational neuroscientist who recently started his research group at Inmed. Starting date fall/winter 2023. We especially invite applications from prospective postdocs with backgrounds in physics, applied mathematics, and electrical engineering. To apply, please send a CV, a short statement containing research interests and previous experience, and two names of references with contact information to: *rosa.cossart(a)inserm.fr <rosa.cossart(a)inserm.fr> *and* lorenzo.fontolan(a)inserm.fr <lorenzo.fontolan(a)inserm.fr>* Lorenzo Fontolan -- Group Leader *Turing Centre for Living Systems (CENTURI) Institut de Neurobiologie de la Méditerranée & Centre de Physique Théorique Université Aix-Marseille, France* *https://www.inmed.fr/neural-computation-and-dynamics <https://www.inmed.fr/neural-computation-and-dynamics>* *https://centuri-livingsystems.org/l-fontolan/ <https://centuri-livingsystems.org/l-fontolan/>*

Sept. 1, 2023

Postdoc position in Bilbao on open-ended network self-organization

by Miguel Aguilera

Hi all, We are offering one postdoc position on self-organized network modelling at the Basque Center for Applied Mathematics in Bilbao (Basque Country, Spain) under the supervision of MIguel Aguilera. DETAILS: **Postdoctoral Fellow on open-ended, self-organized, bio-inspired networks** Topics: One of the outstanding challenges in modelling living and cognitive systems is to capture their ability to continuously adapt and develop. Our behavioural responses are not fixed but driven instead by a complex ecology, composed of myriads of fluid and inconspicuous neurodynamical patterns that have slowly grown on us. AI models like neural networks can capture complex behaviours, but often this open-ended, liquid and ongoing reconfiguration is incredibly challenging to reproduce with static topologies. In contrast, liquid neural networks (or 'liquid brains') are a widespread class of networks with a particular feature: nodes (which may represent 'neurons' or 'agents' and typically all share identical rules) not only process information from neighbour nodes, but they also dynamically modify their network connections, e.g. by moving in space. These networks show how neural-like processing typically associated with static physiological networks can also emerge from fluid collective interaction, dynamically exploring configuration spaces beyond standard connection weight changes. Examples of this kind of model include collective decision-making and fluctuations in ant colonies or idiotypic cascades in immune networks. Objective: The aim of this project is to develop a theory of learning in liquid brains, focused on two aspects: 1) How do liquid brains learn? How is this process different from static neural networks?, and 2) what is the adaptive potential of liquid brains when they are embodied as an agent in interaction with a changing external environment? Answering these questions has the potential to extend the idea of liquid brains from a theoretically deep and intriguing concept to a useful tool available to the machine learning community. Specifically, liquid brains could afford more open-ended, self-improving systems, exploiting fluid reconfiguration of nodes as an adaptive dimension which is generally unexplored. This could also allow modes of learning that avoid catastrophic forgetting, as reconfigurations in the network are based on reversible movement patterns. In terms of technology transfer, this advances can also have important implications for new paradigms like edge computing. PI in charge: Miguel Aguilera <https://maguilera.net/> Salary and conditions: The gross annual salary of the Fellowship will be 29.120€ - 35.360€ according to experience. Additionally, we offer a moving allowance up to 2.000€. Should the researcher have a family at the time of recruitment: 1. 2.000€ gross in a single payment will be offered (you must be married-official register or with children and the certificate to prove it must be sent). 2. 1.200€ gross per year/per child (up to 2 children) will be offered (the certificate to prove it must be sent). Contract and offer: 1 + 1 years Deadline: 8TH September 2023, 14:00 CET How to apply: Applications must be submitted on-line at: https://joboffers.bcamath.org/apply/ic2023-08-postdoctoral-fellow-in-open-e… **Scientific Profile Requested** Requirements: PhD in Physics, Engineering, Computer Science, Maths, Artificial Intelligence, Computational Neuroscience and related fields. Skills and track-record: * Modelling experience with complex or neural network models, e.g. Hopfield networks, Ising models, Boltzmann machines, sandpile models, flock/swarm/insect colony models. * Solid programming skills * Analytical study of stochastic processes * Demonstrated ability to work independently and as part of a collaborative research team. * Ability to present and publish research outcomes in spoken (talks) and written (papers) form. * Fluency in spoken and written English. Scientific Profile: The preferred candidate will have: * Strong background in complex systems, neural network modelling, biophysics, information theory and/or statistical mechanics * Interest to work in interdisciplinary research projects Application and Selection Process Formal Requirements: The selected candidate must have applied before the application deadline online at the webpage https://joboffers.bcamath.org/ The candidates that do not fulfil the mandatory requirements will not be evaluated with respect to their scientific profile. Additional documents could be requested during the evaluation process so as to check this fulfilment. Application: Required documents: * CV * Letter of interest * 2 recommendation letters * Statement of past and proposed future research (2-3 pages) Evaluation: Based on the provided application documents of each candidate, the evaluation committee will evaluate qualitatively: the adaption of the previous training and career to the profile offered, the recommendation letters, the main results achieved (papers, proceedings, etc.), the statement of past and proposed future research and other merits; taking in account the alignment of these items to the topic offered. Incorporation: As soon as possible -- Miguel Aguilera | Ikerbasque Research Fellow | BCAM – Basque Center for Applied Mathematics |https://maguilera.net

Sept. 1, 2023

Kempner Research Fellows

by Cengiz Pehlevan

The Kempner Institute at Harvard University has opened the application for the next cohort of Kempner Research Fellows. The application is open now and will close on October 9, 2023. The 3 year fellowship provides a generous stipend, funding for research, and access to our GPU cluster. We seek candidates who are working on or more of the following areas: Foundations of intelligence, including mathematical and computational models of intelligence, cognitive theories of intelligence, and the neurobiological basis of intelligence. Applications of artificial intelligence, including natural language processing, visual scene processing and analysis, and to the mechanistic analysis of high dimensional neural and behavioral data. The study of these applications can either be from an engineering standpoint (e.g., development of new methodologies or advancing the state of the art) as well as from a scientific one (e.g., achieving a better understanding of deep learning). To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and at the latest, have received their PhD no earlier than 9/1/2021. See this link for more information and how to apply: https://www.harvard.edu/kempner-institute/opportunities/the-kempner-institu… Email KempnerInstitute(a)harvard.edu <mailto:KempnerInstitute@harvard.edu> for any questions about the position.

Sept. 1, 2023