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CFP- ICICIP2025, Muscat, Oman, February 6-11, 2025
by Nian Ashlee Zhang Aug. 11, 2024

Aug. 11, 2024

*Call for Papers* Conference website: https://conference.cs.cityu.edu.hk/icicip/ The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region. Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers. Authors are invited to submit full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues. The paper submission system is now open. Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5… *Submission deadline: November 1, 2024*

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[NeurIPS2024] Call for papers: Intrinsically Motivated Open-ended Learning workshop (IMOL@NeurIPS)
by Gaia Molinaro Aug. 10, 2024

Aug. 10, 2024

We’re glad to announce the Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2024 and are now accepting submissions! Important dates: - Submission deadline: September 11 2024 - Acceptance Notification: October 14 2024 - Workshop date: December 14 or 15 2024 (TBD), in-person @NeurIPS 2024, Vancouver, British Columbia, Canada Website: <https://larel-workshop.github.io/> https://imol-workshop.github.io/ Workshop Description: The field of IMOL aims at the unified study of the motivational forces, learning architectures, and developmental and environmental constraints that support the development of open-ended repertoires of skills and knowledge over learners' lifetimes. At this full-day in-person NeurIPS workshop, we will gather speakers from a wide diversity of scientific traditions, showcase on-going research via contributed talks and poster sessions, and provide networking opportunities for research and mentorship discussions (see website for detailed program). Submission Formats We welcome two categories of submissions: - 4-page submissions of technical contributions, benchmarks, negative results and opinion papers. - 1-page tiny papers (inspired by the ICLR tiny paper initiative <https://iclr.cc/Conferences/2023/CallForTinyPapers>) showcasing early research ideas to foster discussion and collaboration. Submissions should be on any topics related to the Intrinsically Motivated Open-ended Learning themes across disciplines (machine learning, cognitive sciences, philosophy, psychology, and more). Examples of relevant topics include: - Intrinsic motivation in machines and animals, - Autonomous open-ended learning (OEL), - Autonomous goal generation, - Self-supervised representation learning of states, actions, and skills, - Hierarchical and goal-directed RL, - Curriculum learning, - Interplay between intrinsic and extrinsic motivations, - Knowledge and skill transfer, - Continual/lifelong learning, - Open-ended development in children, - Role of metacognitive representations and processes in open-ended learning, - Playful exploration, - Language and sociality in open-ended learning, - Mitigation of risks of open-ended learning, - Philosophical and ethical implications of IMOL. Submission instructions: Submissions must be made via OpenReview <https://openreview.net/group?id=NeurIPS.cc/2024/Workshop/IMOL>. All submissions must be anonymized. Full submissions may be up to 4 pages long (excluding references and appendices) and use the NeurIPS 2024 LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2024/Styles.zip>. Tiny papers should be a single page (excluding references and appendices), using the same template. Appendices can be added to the main PDF. Each paper will receive two reviews, and all reviews will be double-anonymized. Full submissions should report original research, develop novel environments or benchmarks, highlight meaningful negative results, or provide opinions and synthesis of previous works. Authors can submit concise versions of parallel submissions to other conferences such as the NeurIPS main conference or ICLR. We accept dual submission but discourage submitting to multiple NeurIPS workshops. All accepted papers will be available on the workshop website, but no formal workshop proceedings will be published. For any questions, email us at imol.workshop(a)gmail.com or reach us on Twitter at https://twitter.com/IMOLNeurIPS2024! Cheers, The IMOL@NeurIPS 2024 Organizing Committee https://imol-workshop.github.io/ -- *Gaia Molinaro* PhD Student at UC Berkeley Computational Cognitive Neuroscience Lab Website <https://gaiamolinaro.github.io/> | Twitter <https://twitter.com/gaia_molinaro> | LinkedIn <https://www.linkedin.com/in/gaiamolinaro/>

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Neuromatch [or Climatematch] Mentors: Join the Impact Scholars Program!
by Hilal Nizamoğlu Aug. 9, 2024

Aug. 9, 2024

Dear all, [ [ apologies for cross-posting ] ] As a volunteer with Neuromatch Academy, I am pleased to inform you that we have just opened applications for paid mentorship for the Impact Scholars program <https://impact-scholars.neuromatch.io/impact-scholars/intro.html#> (link: https://impact-scholars.neuromatch.io/impact-scholars/intro.html#) This program allows our students to continue and expand on the research projects they initiated during the Academies over a period of six months. Throughout the program, students will receive professional development and mentorship, ultimately culminating in the production of an open-access micropublication. We are looking for mentors who can commit to working approximately 10 hours a month (about 2 hours a week) from October to March. Below are the details of the requirements for mentors. You can find the application links in the mentors section of our website <https://impact-scholars.neuromatch.io/impact-scholars/mentors.html>(link: https://impact-scholars.neuromatch.io/impact-scholars/mentors.html) *Bi-monthly Meetings with Scholars (3 hours/month)* - Meet with scholars twice a month for approximately one hour each session. - Provide guidance, review progress, and help troubleshoot any issues. *Monthly Staff Update Meeting (0.5 hour/month)* - Meet with program staff once a month for about 30 minutes to provide updates on the project group's progress, discuss challenges, and plan next steps. *Task Planning and Coordination (3 hours/month)* - Plan and coordinate project tasks, ensuring they are broken down into manageable components with clear responsibilities for each scholar. - Review and provide feedback on scholars' work to keep them on track with deadlines. *Monitoring Communication Channels (3 hours/month)* - Monitor Discord or other communication channels to provide additional support and answer questions as needed. - Be available for ad-hoc queries and offer guidance to ensure scholars are progressing smoothly. If you have any additional questions, please reach out at impactscholars(a)neuromatch.io Best regards, Hilal Nizamoglu (she/her)

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Post Doc in machine learning for biomedical time series and sleep, Aarhus University
by Kaare Mikkelsen Aug. 9, 2024

Aug. 9, 2024

We are looking for a postdoctoral researcher familiar with machine learning, ideally neural networks implemented with pytorch, to work on unsupervised transfer learning for biomedical time series. In our group, 'Biomedical Machine Learning' (BIML) at Department of Electrical and Computer Engineering, Aarhus University, we have recently begun developing a new method for unsupervised transfer learning, which we have been testing on wearable EEG data (we are closely connected with the Center for ear-EEG). The results are very promising, though there exist multiple challenges still before we have realized the method's full potential. We are now looking to fill a 1-year post doc position to continue this work. Work is on-going to secure additional funding for extending the position further. The primary requirement for the candidate is familiarity with deep learning (ideally the pytorch framework), though experience with transfer learning, or EEG data, or sleep monitoring, is a plus. If this is interesting, please see the full job posting here: Post Doc in machine learning for biomedical time series and sleep, Department of Electrical and Computer Engineering, Aarhus University - Ledig stilling på Aarhus Universitet (au.dk) <https://www.au.dk/om/stillinger/job/post-doc-in-machine-learning-for-biomed…> Note that the starting date is somewhat flexible (an earlier start should be possible). Regards Kaare Mikkelsen, Assoc. Prof. Department of Electrical and Computer Engineering Aarhus University --------------------------------------------------------------------

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Multiple PhD positions in Cognitive Neuroscience at SISSA, Trieste - deadline 27 August 2024
by Eugenio Piasini Aug. 9, 2024

Aug. 9, 2024

Up to 2 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2024. SISSA is an elite postgraduate research institution for Maths, Physics and Neuroscience, located in Trieste, Italy. SISSA operates in English, and its faculty and student community is diverse and strongly international. The Cognitive Neuroscience group (https://phdcns.sissa.it/) hosts 6 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language, tactile perception and learning, and neural computation. Our research is highly interdisciplinary; our approaches include behavioural, psychophysics, and neurophysiological experiments with humans and animals, as well as computational, statistical and mathematical models. Students from a broad range of backgrounds (physics, maths, medicine, psychology, biology) are encouraged to apply. The selection procedure is now open. The application deadline is 27 August 2024. Please apply here (https://www.sissa.it/bandi/ammissione-ai-corsi-di-philosophiae-doctor-posiz…) and see the admission procedure page (https://phdcns.sissa.it/admission-procedure) for more information. Note that the positions available for current admission round are those funded by the "Fondo Sociale Europeo Plus", accessible through the first link above. Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries.

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Postdoctoral researcher position in the neuroscience of brain motor plasticity in people born without hands
by Ella Striem-Amit Aug. 8, 2024

Aug. 8, 2024

*Postdoctoral researcher position in the neuroscience of brain motor plasticity in people born without hands* The Sensory and Motor Plasticity Lab, led by Ella Striem-Amit, is recruiting a Postdoctoral researcher to join its team at Georgetown University in Washington, D.C., USA. The SAMP lab explores brain organization and experience-dependent plasticity by studying people born blind, deaf, or without hands, using behavioral, computational, and fMRI state-of-the-art analytical techniques. The successful applicant will work on the topic of motor plasticity in people born without hands. Specifically, the project will test how people born without hands engage the motor hierarchy to perform everyday actions with their feet. A large dataset has already been collected to address these questions, and additional data can be collected. For more information about the lab, see samp-lab.facultysite.georgetown.edu <https://samp-lab.facultysite.georgetown.edu/research>. Excellent understanding of and experience with fMRI and data analysis are required. Strong programming skills (Matlab, R or python, etc.) are also required. The position is not limited to US citizens. The start date is fall-winter 2024, but flexible in exceptional circumstances. Funding for this position is available for 3 years, and may be extended. To apply, please email your CV and a brief statement of research interests to Ella Striem-Amit (Ella.StriemAmit(a)georgetown.edu) with the subject line: “post-doc application”. Applications will be evaluated on a rolling basis. Georgetown University is an Equal Opportunity/Affirmative Action Employer fully dedicated to achieving a diverse faculty and staff. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, national origin, age, sex, disability status, protected veteran status, or any other characteristic protected by law.

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Python Package: SER model
by Fabrizio Damicelli Aug. 8, 2024

Aug. 8, 2024

Dear Computational Neuroscience Community, I would like to point you to a potentially useful Python Package that might be of interest for your research, especially in the realm dynamical models and spreading dynamics on networks. "ser": S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations. Code Repository: https://github.com/fabridamicelli/ser As of today, a few people already trust it and the package registers >11K total downloads, ~500/month (pypi.org) and has been used already in a few research projects. A few interesting features: - It is light-weight and fast (`numba` accelerated), i.e. many experiments can be simply run on a laptop - Installation and getting started is easy: `pip install ser` - Example notebooks: https://github.com/fabridamicelli/ser/blob/main/examples The SER model is a classical cellular automaton model used to study all sorts of complex systems, ranging from forest fire dynamics to self-organized criticality in the brain. Despite of the simplicity of its setup, it is capable of generating complex emergent dynamics with absolutely non-trivial higher-order statistical properties. To learn more about the SER model and its applications, you might want to check out these references: - Messe et al. (2018). Toward a theory of coactivation patterns in excitable neural networks. doi.org/10.1371/journal.pcbi.1006084 - Haimovici et al. (2013). Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome. doi.org/10.1103/PhysRevLett.110.178101 - Damicelli et al. (2019). Topological reinforcement as a principle of modularity emergence in brain networks. doi.org/10.1162/netn_a_00085 Check it out and any feedback/suggestions/bug reports are more than welcome (simply open an issue: https://github.com/fabridamicelli/ser/issues) All the best, Fabrizio Damicelli

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Call for Papers: The First Workshop on NeuroAI @ NeurIPS 2024, Vancouver, CA
by Forough Habibollahi Aug. 8, 2024

Aug. 8, 2024

*Call** for Papers: The First Workshop on NeuroAI @ NeurIPS 2024: Fusing Neuroscience and AI for Intelligent Solutions* We are excited to announce that we are organizing* the First Workshop on NeuroAI @ NeurIPS 2024*, which will showcase research at the intersection of neuroscience and artificial intelligence. This workshop aims to bring together leading researchers to present their latest findings in NeuroAI. *Topics of Interest:* - Explainable and interpretable AI in neuroscience - Self-supervised systems in NeuroAI - Neuro-inspired architectures, and computations - Neuronally-plausible learning regimes - Neuro-inspired reasoning and decision-making - Cognitive functions in AI The topics above are NOT exhaustive, and we encourage the submission of research related to how principles and insights from neuroscience can lead to better artificial intelligence and vice versa. Our aim is to foster groundbreaking interdisciplinary research that advances both fields. *Submission Details:* We invite researchers in the field of NeuroAI to submit their papers to this workshop. Submissions should adhere to a page limit of *5 pages *(excluding references and supplementary materials) and must use the NeurIPS 2024 LaTeX template <https://media.neurips.cc/Conferences/NeurIPS2024/Styles.zip>. Authors are encouraged to submit their NeurIPS main conference submissions concurrently to this workshop (excluding any completed and already published work). *Important Dates:* · Submission Deadline: September 7, 2024 · Submission Portal: NeuroAI Workshop Submission Portal <https://openreview.net/group?id=NeurIPS.cc/2024/Workshop/NeuroAI> *The top 4 highly scored submissions will be chosen for spotlight talks.* *Event Details:* · Date: During NeurIPS 2024, 14 or 15 December 2024 (to be confirmed) · Location: In-person in Vancouver, Canada *Enquiries:* For further information, please contact: neuroai.neurips2024(a)gmail.com For more information about the details of the workshop schedule, lineup of speakers, etc. and to stay updated, please check the workshop website: NeuroAI Workshop Website <https://neuroai-workshop.github.io/> We look forward to your submissions and to seeing you at *NeurIPS 2024*! *On behalf of the NeuroAI workshop organizing committee,* *Moein Khajehnejad, **Forough Habibollahi, **Adeel Razi, **Jason Eshraghian, Noor Sajid, Anthony Zador, Yoshua Bengio*

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Application deadline extended: Advanced Neural Data Analysis and Neuroinformatics School (ANDA-NI)
by Michael Denker Aug. 6, 2024

Aug. 6, 2024

There are still spots available for the Advanced Neural Data Analysis and Neuroinformatics school (ANDA-NI)! Interested in learning more on how to analyze complex cellular and network-level neuroelectrophysiological data in Python using hands-on exercise on the data you care about? Then hurry to apply for the remaining spots! Some of the topics covered: correlation analysis, variability, dimensionality reduction, spectral analysis, causality, data sharing and data representations New extended application deadline: *August 21, 2024* For more information and application procedures, please visit our school application page at https://andani.info

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new book: Electric Brain Signals
by Gaute Einevoll Aug. 6, 2024

Aug. 6, 2024

We are very pleased to announce our new book: Electric Brain Signals Cambridge University Press, 2024 AUTHORS Geir Halnes, Norwegian University of Life Sciences Torbjørn V. Ness, Norwegian University of Life Sciences Solveig Næss, University of Oslo Espen Hagen, University of Oslo Klas Pettersen, Norwegian Artificial Intelligence Research Consortium Gaute Einevoll, Norwegian University of Life Sciences BOOK DESCRIPTION It is common to study the electric activity of neurons by measuring the electric potential in the extracellular space of the brain. However, interpreting such measurements requires knowledge of the biophysics underlying the electric signals. Written by leading experts in the field, this volume presents the biophysical foundations of the signals as well as results from long-term research into biophysics-based forward-modeling of extracellular brain signals. This includes applications using the open-source simulation tool LFPy, developed and provided by the authors. Starting with the physical theory of electricity in the brain, this book explains how this theory is used to simulate neuronal activity and the resulting extracellular potentials. Example applications of the theory to model representations of real neural systems are included throughout, making this an invaluable resource for students and scientists who wish to understand the brain through analysis of electric brain signals, using biophysics-based modeling. REVIEWS ‘Electric Brain Signals, by the Norwegian group founded by Gaute Einevoll, is the definitive how-to guide for detailed, biophysical modeling of brains, building up from the minuscule ionic currents traversing the cellular membrane, to the observed macro-variables across spatial scales, from the extracellular action potential and local field potential to EEG and MEG signals recorded inside or outside the skull. The book beautifully encapsulates, with easy-to-read prose and associated code, the sophistication of quantitative, mechanistic neuroscience of the twenty-first century necessary to understand the brain and the mind at the time scale of sensory input, motor action, and thought, in both health and disease.’ Christof Koch - Allen Institute for Brain Science, USA; and author of Biophysics of Computation ‘If you love physics, are fascinated with the brain, and wish that neural circuits could be understood from first principles, this book is for you! Gaute Einevoll and his team put together a masterpiece educational resource. Depending on the background and stage of training, the reader can consume it front to back, or use it as a reference book. The first part covers, in detail, the biophysical theory governing generation of the transmembrane and extracellular electrical potential. The second part is a comprehensive guide to simulations of these signals with the focus on data-driven modeling, from the microscopic level of single neurons and neural networks to macroscopic signals observable with noninvasive electro- and magneto-encephalography. This didactic organization, depth of coverage, and impeccable expertise of the authors make this book a top candidate as a textbook for computational neuroscience courses. Supplementary simulation software, freely available on GitHub, is a fantastic addition for research and teaching.’ Anna Devor - Boston University, USA ‘The brain is an electrochemical organ. The laws of electricity are simple. Yet how currents spread in a heterogeneous, non-isotropic milieu, such as the brain, is super complex. This long needed outstanding book provides all the necessary ingredients to comprehend this complexity. Done with the utmost care, this volume is a must-read for both novices and experts in electrophysiology and I bet it will become the foundation of elective graduate courses for many years to come. The text is the systems neuroscience equivalent of the single-neuron Hodgkin–Huxley model.’ György Buzsáki - NYU Neuroscience Institute, USA; and author of Rhythms of the Brain and The Brain from Inside Out ‘This book is a fantastic resource for the computational neuroscience community and beyond. The introductory ‘guide’ is outstanding in its clarity and description for readers with a range of backgrounds. The presentation is rigorous and detailed with many mathematical equations, and yet readable and understandable, with many figures. The authors are to be commended for their clearly defined terminologies and presentation of complex concepts. A gem of a read for anyone wanting to develop an in-depth understanding of electrical brain recordings and models of them.’ Frances K. Skinner - Krembil Brain Institute, University Health Network and University of Toronto, Toronto, Ontario, Canada https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98… [https://assets.cambridge.org/97813165/10841/large_cover/9781316510841i.jpg]<https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98…> Electric Brain Signals<https://www.cambridge.org/core/books/electric-brain-signals/900A8A211004B98…> Cambridge Core - Biological Physics and Soft Matter Physics - Electric Brain Signals www.cambridge.org ******************************* Professor Gaute T. Einevoll Department of Physics, Norwegian University of Life Sciences, 1432 Aas, Norway; Department of Physics, University of Oslo, 0316 Oslo, Norway theoretical neuroscience podcast: theoreticalneuroscience.no<https://theoreticalneuroscience.no> popular science podcast: vettogvitenskap.no<https://vettogvitenskap.no> popular science podcast (English only): vettogvitenskap.no/senseandscience<https://vettogvitenskap.no/senseandscience> Co-author of "Electric Brain Signals": www.cambridge.org/electricbrainsignals<http://www.cambridge.org/electricbrainsignals> Co-author of "Principles of computational modeling in neuroscience" (2nd ed): www.cambridge.org/sterratt2<http://www.cambridge.org/sterratt2/> mobile: +47-95124536 email: Gaute.Einevoll(a)nmbu.no<mailto:Gaute.Einevoll@nmbu.no>, Gaute.Einevoll(a)gmail.com Twitter: @gauteeinevoll Blue Sky: @gauteeinevoll.bsky.social Zoom: https://nmbu.zoom.us/my/gauteeinevoll “If you sleep in a democracy, you may wake up with a dictator.”

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PhD position in Göttingen: Optogenetics in the Retina and Computational Neuroscience
by Gollisch, Tim Aug. 6, 2024

Aug. 6, 2024

A PhD position is available in the lab of Tim Gollisch at the University Medical Center Göttingen, Germany. The PhD project will investigate how optogenetics can be used for vision restoration therapy to treat blindness. The work will involve multielectrode arrays to record spiking activity from isolated retinas of mice that express light-sensitive ion channels in different cell types of the retina. Furthermore, computational tools will be used for model-driven data analysis and assessment of neural coding under optogenetic stimulation. Prior experience with electrophysiology or computational analyses/computer programming will be considered advantageous for the application. The project is part of the newly founded Else Kröner Fresenius Center for Optogenetic Therapies (https://ekfz.uni-goettingen.de/) and will contribute to bringing optogenetic vision restoration towards clinical trials and patient treatment. Furthermore, the research group is embedded in the strong and lively neuroscience research community of Göttingen, including the university, several Max Planck Institutes, the German Primate Center, and the European Neuroscience Institute. We are also part of the Bernstein Center for Computational Neuroscience Göttingen. To get a better idea about the research group, see https://www.retina.uni-goettingen.de/. For more information or in case of questions, please send an email to Prof. Tim Gollisch (tim.gollisch(a)med.uni-goettingen.de<mailto:tim.gollisch@med.uni-goettingen.de>). For the official application, please visit https://ekfz.uni-goettingen.de/job.html#PhD and follow the instructions there, and mention in your application that you would like to join Team 2 (Vision), as there are multiple positions available in different teams. The University Medical Center Göttingen is an equal opportunities employer, and women are especially encouraged to apply. Applicants with disabilities and equal qualifications will be given preferential treatment.

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PhD position at Charité Berlin on modeling deep brain stimulation with network science
by Meier, Jil Mona Aug. 6, 2024

Aug. 6, 2024

Dear all, for the collaborative research center “ReTune” starting from now on limited for 3 years we are looking for a Ph.D. Candidate (d/f/m) in part-time (25,35 h/week) The position is in the context of the project “Towards clinical application of virtual deep brain stimulation”, funded by the German Research Foundation within the collaborative research center “ReTune” (https://sfb-retune.de/en/home/) The project, led by me (Dr. Jil Meier), aims to model deep brain stimulation (DBS) from a network science perspective, exploring a novel approach for predicting neuromodulation effects based on network control theory. If succesful, the modeling-based DBS predictions will be combined with computational neuroscience approaches to test the benefits of the modeling-suggested DBS programming on Parkinson’s disease patients in a clinical pilot trial. The position is part of the collaborative research center “ReTune” and thus offers a high degree of interaction with other groups of this consortium. In addition, the CRC has an active early-career network, offering various activities, such as Fall Schools, Hackathons and method-training seminars. In more local aspects, the position will be within the Brain Simulation Section (https://www.brainsimulation.org/bsw) at the Berlin Institute of Health at the Charité-Universitätsmedizin Berlin, which is an interdisciplinary group of researchers with various backgrounds headed by Prof. Petra Ritter. More details below or at https://jobs.bihealth.org/PhD-Candidate-dfm-de-j586.html Application deadline is 02.09.2024. If you have any technical questions about the job posting, please contact me (jil-mona.meier(a)bih-charite.de<mailto:jil-mona.meier@bih-charite.de>). Kind regards, Dr. Jil Meier ------------------------------ What you can expect: * application of methods from network science and network control theory to understand the pathology of Parkinson's disease and DBS therapy effects * analysis of various imaging and electrophysiological data sets from healthy controls and Parkinson's disease patients * presentation of results and preparation of scientific publications * development of a modeling-based approach for improved programming for deep brain stimulation devices * collaboration with project partners within the ReTune consortium What you bring along: * Completed scientific university degree (Master, Diploma or comparable) in a relevant field (for example engineering, mathematics, physics, computer science, neuroscience or related fields) * strong interest in neuroscience and neuromodulation, especially deep brain stimulation * ambition to pursue an academic career * high level of motivation and the ability to work both inde-pendently and within a team * ideally experience in mathematical modeling, graph the-ory/network science and (network) control theory and previous experience in working with imaging or electrophysiological data is considered a plus * Very good skills in written and spoken English and foundational knowledge of a programming language (ideal: previous experience with either Matlab or Python) What we offer you: * A varied job in a forward-looking research institute * Remuneration up to TVöD VKA-K EG E13, taking into account personal requirements * Additional benefits customary in the public sector (including annual special payment, company pension scheme (VBL), capital-forming benefits) * Flexible working hours and the option of working remote * 30 vacation days per year (with a five-day week) * Various support offers to balance work and family life (childcare, cooperation with voiio) * Very good training and further education opportunities * Mobile citizens' office on site * Corporate benefits (travel, leisure, shopping, etc.), Charité Gympass, bicycle leasing or abonnement (JobRad, mylo) * Very easily accessible and attractive workplace at CCM, (Robert-Koch-Platz 4, 10117 Berlin) We live diversity! We welcome applications from people with diverse backgrounds, regardless of gender, nationality, ethnic and social origin, religion and ideology, disability, age, sexual orientation and identity. Applications from women are expressly encouraged. Severely disabled and equivalent applicants will be given special consideration if they have the same qualifications and suitability. We believe that diverse teams representing a wide range of experiences, perspectives and backgrounds enrich our research and work. Please submit your application via the BIH career portal (https://jobs.bihealth.org/) with a letter of motivation, CV and relevant work and degree certificates by 02.09.2024, quoting the reference number BIH-65.24. Note: If you have a foreign degree, please submit proof of recognition of your degree in Germany with your application. The proof can be obtained via the anabin database. Please note that it may be necessary to obtain a certificate assessment from the ZAB. You can find more information at: https://www.kmk.org/zab/central-office-for-foreign-education.html Proof of measles immunity / measles vaccination is a prerequisite for employment for those born after 1970. You can find more information on the BIH at https://www.bihealth.org/en/

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Postdoc position in Human Intracranial Single-Unit Electrophysiology and Brain Stimulation at the University of Magdeburg
by Ciliberti, Davide /DZNE Aug. 5, 2024

Aug. 5, 2024

Dear all, We have an open position for a Postdoctoral researcher in the area of human intracranial electrophysiology, using single-unit recordings and electrical brain stimulation, to study the dynamics of human memory formation and consolidation. More details about the position are available at: https://iknd.med.ovgu.de/Jobs/Postdoctoral+researcher+position.html More information about the research in my group is available at: https://iknd.med.ovgu.de/AG+Dr_+Ciliberti.html To apply, please send your CV, motivational letter and the contacts of three referees to Dr. Davide Ciliberti (davide.ciliberti(a)med.ovgu.de<mailto:davide.ciliberti@med.ovgu.de> ). Informal inquiries or preliminary applications (without referees) are welcome. Best regards, Davide Ciliberti Davide Ciliberti, PhD Junior Research Group Leader ……………………………………………………………………… Institute of Cognitive Neurology and Dementia Research (IKND) Otto-von-Guericke-Universität Medical Faculty Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE) c/o Universitätsklinikum Magdeburg Leipziger Str. 44 Building 64, Room 506 39120 Magdeburg Germany

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PhD position in Human Intracranial Single-Unit Electrophysiology and Brain Stimulation at the University of Magdeburg
by Ciliberti, Davide /DZNE Aug. 5, 2024

Aug. 5, 2024

Dear all, a PhD student position in the area of Human Intracranial Single-Unit Cognitive Electrophysiology and Brain Stimulation is available at the University of Magdeburg (Germany) in my group. Please find the details below. Institution Institute of Cognitive Neurology and Dementia Research (IKND) of the Medical Faculty at the Otto-von-Guericke University Magdeburg. Location University Hospital Magdeburg, Magdeburg, Germany. Supervisors Dr. Davide Ciliberti and Prof. Dr. med. Emrah Düzel. Duration 4 years. Overview The Cognitive Electrophysiology and Neurotechnology (CEN) group at IKND led by Dr. Davide Ciliberti (https://iknd.med.ovgu.de/AG+Dr_+Ciliberti.html) invites applications from highly motivated candidates to fill in a position for a PhD student salary. The successful candidate will have the opportunity to conduct multi-disciplinary research in human neuroscience and neurotechnology. In particular, the successful candidate will investigate the dynamics of formation of human memory using intracranial single-unit electrophysiological recordings, high resolution 7-Tesla imaging and invasive electrical brain stimulation in neurosurgical epilepsy patients. Project Description The aim of the main project is to characterize the behavioral and electrophysiological effects of deep-brain stimulation (DBS) in the human entorhinal cortex during the formation of spatial and non-spatial episodic memory. The research will involve: * designing cognitive tasks for investigating the neurophysiological dynamics of mnemonic discrimination; * recording local field potentials and single-unit activity from intracranial electrodes in neurosurgical epilepsy patients during the execution of cognitive tasks; * applying DBS to the entorhinal cortex during the execution of cognitive tasks; * applying existing analysis techniques and developing new ones for understanding how DBS alters mnemonic discrimination; * applying image segmentation techniques on 7-T MRI data to localize intracranial electrodes with high-resolution. Key Responsibilities * Interacting with patients and record intracranial electrophysiological data. * Conduct high-quality research in cognitive electrophysiology and neuroengineering, by validating or disproving current theories about human episodic memory formation and maintenance. * Collaborate with a multidisciplinary team of researchers, including PhD students, postdocs, medical technicians and doctors. * Present research findings at national and international meetings, and publish results in high-visibility scientific journals. Requirements * A Master degree in Cognitive Neuroscience, Physics, Cognitive Psychology, Biomedical Engineering, Computational Neuroscience or a closely related field. * Basic to intermediate knowledge of a programming languages (e.g. Python, Matlab, C/C++). * Expertise in at least two of the following areas (unless coming from a non-neuroscientific field): * brain stimulation, * human neuroanatomy and neuroimaging, * clinical neurophysiology, * analysis of single-unit activity, * analysis of local field potentials, * theories of episodic memory, * design of cognitive tasks for humans, * brain-computer interfaces. * Analytical, problem-solving, and communication skills. * Inquisitive mindset and critical thinking. * Ability to work independently and as part of a team. * Good command of written and spoken English. * Intermediate to advanced knowledge of German language is highly appreciated (but not required). Benefits * Opportunity to work in a leading research institution with access to state-of-the-art facilities. * Collaborative environment with experts in neuroimaging, electrophysiology, clinical neurophysiology, data analysis, AI, aging research. * Competitive salary (65% TVL E13). * Comprehensive training and career development support (through the OvGU graduate academy). How to apply Please send your CV, a motivational letter and the contacts of two referees to Dr. Davide Ciliberti (davide.ciliberti(a)med.ovgu.de<mailto:davide.ciliberti@med.ovgu.de>). Transcripts of Bachelor and/or Master degree(s) indicating relevant coursework taken will be appreciated (but are not required). Informal inquiries are welcome. Davide Ciliberti, PhD Junior Research Group Leader ……………………………………………………………………… Institute of Cognitive Neurology and Dementia Research (IKND) Otto-von-Guericke-Universität Medical Faculty Deutsches Zentrum für Neurodegenerative Erkrankungen e.V. (DZNE) c/o Universitätsklinikum Magdeburg Leipziger Str. 44 Building 64, Room 506 39120 Magdeburg Germany

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Modellers Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Aug. 5, 2024

Aug. 5, 2024

Enrolments are now open for the Modellers Workshop for the Brain Dynamics Toolbox. This is an online course for researchers who wish to build custom dynamical models in matlab using the Brain Dynamics Toolbox. The course focuses on practical programming techniques for the major classes of differential equations (ordinary, partial, delay, stochastic) in computational neuroscience. Example code is provided in all cases. Study time is 8 hours. Upon completion, students will be able to turn differential equations into working simulations. Course Website https://bdtoolbox.teachable.com/p/modellers-workshop Toolbox Website https://bdtoolbox.org Important Dates Enrolments close 31st Aug 2024. 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.

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Post-doctoral position - Mass Eye & Ear / Harvard Med School
by Maison, Stephane F.,AUD, PhD Aug. 4, 2024

Aug. 4, 2024

A NIH-funded postdoctoral position is immediately available in Dr. Stéphane Maison’s laboratory in the Department of Otolaryngology – Head & Neck Surgery at the Massachusetts Eye & Ear – Harvard Medical School. Our research interests focus on identifying biomarkers of a large range of etiologies and their associated disorders including difficulties hearing and communicating in noisy environments, reduced sound level tolerance and tinnitus using a test battery based on behavioral, electrophysiologic, and psychophysical measures. Salary and benefits are consistent with NIH guidelines and institution policies based on applicant’s experience. Highly motivated candidates who recently graduated with a PhD in biomedical engineering, computational biology, hearing science, neuroscience, or other related fields are welcome to apply. The applicant should have strong programming skills (e.g., Matlab, Python), independent and productive. Experience with human testing is preferred but not required. The fellow will receive an appointment at Massachusetts Eye and Ear and Harvard Medical School. Interested applicants should apply using the following link: https://partners.taleo.net/careersection/mee/jobdetail.ftl?job=3299643&tz=G… The information in this e-mail is intended only for the person to whom it is addressed. If you believe this e-mail was sent to you in error and the e-mail contains patient information, please contact the Mass General Brigham Compliance HelpLine at https://www.massgeneralbrigham.org/complianceline <https://www.massgeneralbrigham.org/complianceline> . Please note that this e-mail is not secure (encrypted). If you do not wish to continue communication over unencrypted e-mail, please notify the sender of this message immediately. Continuing to send or respond to e-mail after receiving this message means you understand and accept this risk and wish to continue to communicate over unencrypted e-mail.

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NEW: More seminars of VVTNS 4th season are now online
by David Hansel Aug. 4, 2024

Aug. 4, 2024

[image: VVTNS.png] > > <https://streaklinks.com/CEZ1w5FbWwwdiE8ltQA_j5xB/https%3A%2F%2Fwww.wwtns.on…> > https://www.wwtns.online > <https://streaklinks.com/A9c7PbbpKY7PxB6PaAJWGD3-/https%3A%2F%2Fwww.wwtns.on…> > - on twitter: wwtns@TheoreticalWide > The following seminars are now available on the VVTNS website and YouTube channel Flip flops and toggles for effective decision making in neural circuits Tim O'Leary University of Cambridge talk given on April 17, 2024 https://www.wwtns.online/past-seminars-2023-2024 ------------------------------------ Neural mechanisms of memory-guided behaviour Lorenzo Fontolan Université Aix-Marseille talk given on May 1, 2024 https://www.wwtns.online/past-seminars-2023-2024 --------------------------------------- Neuronal network reconstruction through causality measures Douglas Zhou Jiatong University talk given on May 8, 2024 https://www.wwtns.online/past-seminars-2023-2024 ---------------------------- Mechanisms underlying responses to optogenetic perturbations Agostina Palmigiano Gastby Unit, London talk given on May 15, 2024 https://www.wwtns.online/past-seminars-2023-2024 ---------------------------- How random connections and motifs shape the covariance spectrum of recurrent network dynamics Yu Hu Hong Kong University of Science and Technology talk given on May 22, 2024 https://www.wwtns.online/past-seminars-2023-2024 ----------------------------- *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

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NEW BOOK:The Artificial Intelligence Papers
by James V Stone Aug. 2, 2024

Aug. 2, 2024

NEW BOOK: The Artificial Intelligence Papers: Original Research Papers With Tutorial Commentaries. TOC and Chapter 1: =https://jamesstone.sites.sheffield.ac.uk/books/theaipapers An intellectual string of pearls that would complement the bookshelf of anyone invested in the forthcoming age of artificial intelligence. Karl Friston, FRS. https://www.amazon.com/dp/1068620005 https://www.amazon.co.uk/dp/1068620005 Abstract Modern artificial intelligence (AI) is built upon a relatively small number of foundational research papers, which have been collected and republished in this unique 350-page book. The first chapter provides a summary of the historical roots of AI, and subsequent chapters trace its development, from Rosenblatt's perceptron in 1958 to one of the early GPT models in 2019. Each paper is introduced with a commentary on its historical context and a tutorial-style technical summary. In several chapters, additional context is provided by the paper's original author(s). Written in an informal style, with a comprehensive glossary and tutorial appendices, this book is essential reading for students and researchers who wish to understand the fundamental building blocks of modern AI. -- James V Stone Visiting Professor, Sheffield University, UK. Web: https://jamesstone.sites.sheffield.ac.uk/books Twitter: @jgvfwstone

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PhD position, Comp Neuro, Moreno-Bote Lab, Barcelona
by Ruben Moreno Bote Aug. 1, 2024

Aug. 1, 2024

Looking for talented PhD students. Project: the foundations of behavior and intelligence. Come to our Comp Neuro lab in Barcelona to study natural and artificial Intelligence. Recent, related articles of the lab: https:// <https://t.co/QoJ9VG6p7g>nature.com/articles/s41467-024-49711-1 https://www.nature.com/articles/s41467-024-50214-2 PhD Position in Computational Neuroscience, Ruben Moreno-Bote Lab Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models of cognition and intelligence by using neural networks, reinforcement learning, machine learning, data analysis and multielectrode neural data. The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2024 and January 2025 -- Rubén Moreno Bote Serra Húnter Full Professor and ICREA Academia Director of the Theoretical and Cognitive Neuroscience Group Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain https://www.upf.edu/web/tcn https://twitter.com/morenobote <https://twitter.com/morenobote?lang=ca>

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Reminder: "Bridging Fields in Creativity" - 11-13 September 2024 - Germany
by Jens-Bastian Eppler July 30, 2024

July 30, 2024

Dear Colleagues, This is a friendly reminder about our upcoming conference titled *"Bridging Fields in Creativity: Towards Circuit Mechanisms of the Creative Process."* The event aims to bring together interdisciplinary approaches to understanding the neural mechanisms underlying creativity. /Please note that registration closes in 10 days. Make sure to register soon and check the conference website for more information./ *Event Details:* * *Date:* 11-13 September 2024 * *Location:* Altes Amtsgericht Oppenheim, Germany (just 30 minutes from Frankfurt Airport) * *Homepage:* conference information <https://fias.institute/en/events/conferences/2024/creativity-conference/> * *Registration:* conference registration <https://indico.cern.ch/event/1424765/registrations/106509/> *Confirmed Speakers:* * Anna Abraham (University of Georgia, USA) * Jaan Aru (University of Tartu, Estonia) * Roger Beaty (Penn State University, USA) * Mathias Benedek (University of Graz, Austria) * Carlos Brody (Princeton University, USA) * Caroline di Bernardi Luft (Brunel University London, UK) * Yoed Kenett (Technion, Israel) * Kristian Kersting (TU Darmstadt, Germany) * Daniel Schacter (Harvard University, USA) * Claire Stevenson (University of Amsterdam, The Netherlands) * Tony Veale (University College Dublin, Ireland) * Angela Yu (TU Darmstadt, Germany) We look forward to seeing you in Oppenheim for this exciting exploration of creativity and neuroscience. Best regards, *Matthias Kaschube* Frankfurt Institute for Advanced Studies Institute of Computer Sciences Goethe University Frankfurt, Germany *Simon Rumpel* Institute of Physiology University Medical Center Johannes-Gutenberg University Mainz, Germany -- Dr. Jens-Bastian Eppler Postdoctoral Researcher in Theoretical Neuroscience Frankfurt Institute for Advanced Studies Department of Computer Science Goethe University Frankfurt Ruth-Moufang-Straße 1 60438 Frankfurt am Main eppler(a)fias.uni-frankfurt.de ORCID:https://orcid.org/0000-0003-4288-0918 ResearchGate:https://www.researchgate.net/profile/Jens-Bastian-Eppler

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CFP: 13 th International Conference on Complex Networks & Their Applications
by Hocine Cherifi July 29, 2024

July 29, 2024

What: COMPLEX NETWORKS 2024 Where: Istanbul, Turkey When: December 10 - 12, 2024 Website : COMPLEX NETWORKS 2024 <https://complexnetworks.org/> · You are cordially invited to submit your contribution by *September 03, 2024,* at *https://complexnetworks.org/submission/* <https://complexnetworks.org/submission/> *----------------------------------------------------------------------------------------------------------------------------------------------* *CONTRIBUTIONS* *Full papers: *not previously published up to 12 pages · *Papers *will be included in the conference *proceedings edited by Springer* *Extended Abstracts*: about published or unpublished research up to 4 pages. · *Extended abstracts* will be published in the *Book of Abstracts (with ISBN)* *----------------------------------------------------------------------------------------------------------------------------------------------* *JOURNAL SPECIAL ISSUES* *Extended versions of accepted contributions will be invited for publication in special issues of :* o PLOS Complex Systems <https://journals.plos.org/complexsystems/> edited by PLOS <https://plos.org/>. o PLOS <https://journals.plos.org/plosone/> One <https://journals.plos.org/plosone/> edited by PLOS <https://plos.org/> o Applied Network Science <https://appliednetsci.springeropen.com/> edited by Springer Nature <https://www.springernature.com/gp> o Social Network Analysis and Mining <https://link.springer.com/journal/13278> edited by Springer Nature <https://www.springernature.com/gp> o Computational & Mathematical organization <https://link.springer.com/journal/10588> edited by Springer Nature <https://www.springernature.com/gp> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific <https://www.worldscientific.com/> o Complex Systems Journal <https://www.complex-systems.com/> *----------------------------------------------------------------------------------------------------------------------------------------------* *KEYNOTE SPEAKERS* · Federico Battiston <https://people.ceu.edu/federico_battiston> Central European University, Austria · Tina Eliassi-Rad <https://www.khoury.northeastern.edu/people/tina-eliassi-rad/> Northeastern University, USA · Frank Emmert-Streib <https://www.tuni.fi/en/frank-emmert-streib> Tampere University, Finland · Filippo Menczer <https://cnets.indiana.edu/fil/> Indiana University, USA · Luciano Pietronero <http://www.lucianopietronero.it/> University of Rome, Italy *----------------------------------------------------------------------------------------------------------------------------------------------* *TUTORIALS (December 09, 2024)* · Alessandro Galeazzi <https://scholar.google.com/citations?user=DK0tXAIAAAAJ&hl=en> University of Padova, Italy · Clara Stegehuis <https://www.clarastegehuis.nl/> Twente University, The Netherlands *----------------------------------------------------------------------------------------------------------------------------------------------* *TOPICS* *Topics include, but are not limited to: * o Models of Complex Networks o Structural Network Properties and Analysis o Complex Networks and Epidemics o Community Structure in Networks o Community Discovery in Complex Networks o Motif Discovery in Complex Networks o Network Mining o Network embedding methods o Machine learning with graphs o Dynamics and Evolution Patterns of Complex Networks o Link Prediction o Multilayer Networks o Network Controllability o Synchronization in Networks o Visual Representation of Complex Networks 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 and Complex Networks o Financial and Economic Networks o Complex Networks and Mobility o Biological and Technological Networks o Mobile call Networks o Bioinformatics and Earth Sciences Applications o Resilience and Robustness of Complex Networks o Complex Networks for Physical Infrastructures o Complex 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 Join us at COMPLEX NETWORKS 2024 <https://www.complexnetworks.org/> *-------------------------* Hocine CHERIFI University of Burgundy Franche-Comté Laboratoire* I*nterdisciplinaire *C*arnot de *B*ourgogne - ICB UMR 6303 CNRS Editor in Chief Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> Founding & Adisory Editor Applied Network Science <https://appliednetsci.springeropen.com/> Editorial Board member PLOS One <https://journals.plos.org/plosone/>, IEEE ACCESS <https://ieeeaccess.ieee.org/?http%3A%2F%2Fieeeaccess_ieee_org%2F>, Scientific Reports <https://www.nature.com/srep/>, Journal of Imaging <https://www.mdpi.com/journal/jimaging>, Quality and Quantity <https://www.springer.com/journal/11135/>, Computational Social Networks <https://computationalsocialnetworks.springeropen.com/>, Complex Systems <https://www.complex-systems.com/>

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SAB 2024 Registration and Program
by Jeffrey L Krichmar July 29, 2024

July 29, 2024

Dear Colleagues, For those interested in attending the 17th International Conference on the Simulation of Adaptive Behavior (SAB 2024), registration is open (early registration ends August 5th) and a draft program schedule is available. More details can be found at: https://sab2024.socsci.uci.edu <https://sab2024.socsci.uci.edu/> The conference will be held September 9-12 at: CalIT2 Auditorium University of California, Irvine Irvine, CA 92697 USA Hope to see you in sunny Irvine! Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma(a)uci.edu http://www.socsci.uci.edu/~jkrichma https://sites.uci.edu/sab2024/

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Registration Now Open for INCN conference, Sept. 23-25, 2024, Rome
by Mattia Maurizio July 26, 2024

July 26, 2024

Dear Colleagues, We are happy to announce that registration is now open for the 1st conference of the Italian Network for Computational Neuroscience (INCN '24) to be held in Rome at the Istituto Superiore di Sanità (Italian National Institute of Health, ISS) from September 23rd to 25th, 2024. INCN conference aims to establish a collaborative network for Italian computational and theoretical neuroscientists. Inspired by successful initiatives in Europe, it seeks to leverage national research efforts to create a thriving research environment, fostering collaboration, information exchange, and scientific advancement for both young researchers and the broader neuroscience community. The registration fee is 50 EUR and covers access to all conference sessions and materials, coffee breaks and light lunches. Visit our website at https://incn.it/ to register and learn more about the conference program, speakers, travel information, and accommodation options in Rome. Consider that only a limited number of registrations will be accepted for logistic reasons and the deadline is on August 23rd, 2024. Keynote speakers of the conference will be Stefano Fusi (Columbia U., New York), Valerio Mante (ETH, Zurich) and Stefano Panzeri (UKE, Hamburg), which together with other 30 invited speakers will present the cutting-edge research and insights on the latest advancements in the field. We look forward to seeing you at INCN '24 and please spread the news! Sincerely, The INCN Organizing Committee Maurizio Mattia (ISS), Nicolas Brunel (Duke U. & Bocconi U.), Paolo Massobrio (Genoa U.) and Sergio Martinoia (Genoa U.) [https://www.iss.it/o/iss/images/ISS.png] Scegli l'Istituto Superiore di Sanità. Dona il 5x1000 alla Ricerca Sanitaria Firma e inserisci il Codice Fiscale 80211730587 ________________________________ Per saperne di più clicca qui<[https://www.iss.it/-/l-iss-sostiene-i-giovani-ricercatori-con-il-5x1000-1]>

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Postdoc Position on Brain-AI Interfaces at the University of Vienna
by Moritz Grosse-Wentrup July 25, 2024

July 25, 2024

Dear all, We have an open position for a postdoctoral researcher with experience in brain-computer interfacing and artificial intelligence to further advance our new class of Brain-Artificial Intelligence (BAI) interfaces: https://arxiv.org/abs/2402.15011 A central part of your research would be to further develop our BAI for single-unit data recorded in language areas of a post-stroke aphasia patient, a project we carry out in close collaboration with the Translational NeuroTechnology Lab at TUM, headed by Simon Jacob (http://simonjacob.de/) Further information on the open position is available at: https://jobs.univie.ac.at/job/University-Assistant-postdoctoral/1003003101/ If you are interested, please apply by August 16th via the link provided on the page above. The envisioned starting date is in the fall of 2024. The contract is initially limited to two years but can be extended. For informal inquiries, please send me an email at moritz.grosse-wentrup(a)univie.ac.at. Further information about our research group is available at http://neural.engineering. Best regards, Moritz Grosse-Wentrup -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Kolingasse 14-16, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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Postdoctoral Position in Computational/Theoretical Neuroscience at UC San Diego
by Marcus Benna July 25, 2024

July 25, 2024

Dear Colleagues, A postdoctoral position in computational neuroscience with flexible start date is available in the lab of Dr. *Marcus Benna <https://biology.ucsd.edu/research/faculty/mbenna>* at the University of California, San Diego. Our research seeks to understand how neural information processing under noisy and resource-constrained conditions allows the brain to efficiently perform computational tasks and control relevant behaviors. *This position <https://biology.ucsd.edu/jobs/postdoc#Computational/Theoretical-Neuro>* will involve the analysis of neural activity data (calcium imaging or electrophysiology) collected by our collaborators, as well as theoretical modeling of learning and task performance in neural networks. *Our research group <https://bennalab.biosci.ucsd.edu/people/>* is part of the vibrant Department of Neurobiology at UCSD, which is highly collegial, and offers many opportunities for collaborations, both formal and informal. Postdoctoral trainees are encouraged to attend seminars and present their work at departmental events. Our group is located in Tata Hall and shares space with several experimental neuroscience laboratories. We offer a stimulating environment with opportunities to develop new research directions and supportive mentorship for individual career development. The applicant should hold a PhD in computational neuroscience, physics, applied math, computer science, data science, or a related field, preferably with a degree date no more than two years before the start date. Candidates should have a strong quantitative background, and programming skills would be highly desirable. Experience in computational modeling, machine learning and/or data analysis would be particularly beneficial. Strong verbal and written communication skills are required. We’re looking for collaborative, motivated individuals who can conduct an independent research project and work as part of a team. To apply, please email Dr. Marcus Benna (mbenna(a)ucsd.edu) with the subject line “Postdoc Application”, and include - A cover letter/research statement that summarizes your experience, contributions to science, as well as research interests and how they align with the lab’s work. - CV with publication list - Names and contact information of 3 references Review of applications will begin on Aug. 26th. Best, --Marcus ========================== Marcus K. Benna Assistant Professor Department of Neurobiology School of Biological Sciences University of California, San Diego

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