- Comp-neuro - lists.cnsorg.org

ESI SyNC 2023: September 14 - 15
by El Mahmoudi, Nada 04 Aug '23

04 Aug '23

[https://www.esi-frankfurt.de/img/esisync/esisync2023_header.jpg] Linking hypotheses: where neuroscience, computation, and cognition meet Dear Neuroscientists, We are happy to announce that the Ernst Strüngmann Institute Systems Neuroscience Conference (ESI SyNC) 2023 will take place in-person and online this year, on September 14 and 15 at the Ernst Strüngmann Institute in Frankfurt, Germany. This year’s topic is: Linking hypotheses: where neuroscience, computation, and cognition meet. Eleven speakers will discuss their research and views on the intersection of systems, behavioral, and computational neuroscience from a wide array of viewpoints: from basic network interactions in the brain probed at the electrophysiological and mechanistic levels, to complex animal behavior and cognition. This year’s conference is an outstanding platform bringing together sub-fields in the neurosciences that find themselves, regrettably often, treated in isolation. Young researchers will have the opportunity to exchange ideas and raise questions in formal and informal discussions. There will also be a poster session in person for which we welcome submissions. This conference is free for online participants and researchers in Frankfurt am Main. Registration Link: https://survey.academiccloud.de/index.php/763913?lang=en List of speakers: https://www.esi-frankfurt.de/newevent/ Best Regards, ESI-Sync Organizing Committee

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Postdoc position in computational systems neuroscience, Voigts Lab, Janelia
by Voigts, Jakob 03 Aug '23

03 Aug '23

The Voigts Lab at HHMI Janelia Research Campus is recruiting postdocs to work on how neocortex learns and applies models of the world to enable complex cognitive abilities. We will study flexible cognition by examining naturalistic behaviors that require animals to perform sequential computations, yet are learned quickly. We'll be able to throw whatever technology is needed at the problem of combining sufficient measurements with complex naturalistic behavior in mice, e.g. large-scale electrophysiology or calcium imaging, unrestrained behavior in large complex environments, closed-loop manipulations, circuit reconstruction, etc., but more importantly we'll work on the challenge of modeling, analyzing, and ultimately learning from data when there are no strictly repeated trials to average over. The postdoc position could focus on experimental and/or computational approaches to these questions, depending on the interests and experience of the candidate. We're part of the new Mechanistic Cognitive Neuroscience research area at Janelia. Postdocs will have access to an unusual amount of resources and support, allowing us to make rapid progress on these challenging questions. We'll also work closely with experimental, theoretical, methods, and machine learning researchers in- and outside of Janelia to make this research program possible, collaborative, and fun. Our lab website is https://www.voigtslab.org<https://www.voigtslab.org/>. To apply, please send a brief statement of research interests and CV to voigtsj(a)janelia.hhmi.org<mailto:voigtsj@janelia.hhmi.org>

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Two postdoc positions in neuroAI
by Rui Ponte Costa 02 Aug '23

02 Aug '23

Dear all, We are seeking to appoint two Postdoctoral Research Scientists to join the Neural and Machine Learning Group part of the world-class Oxford Neuroscience and the Oxford Neurotheory initiative. You will carry out research at the intersection between computational neuroscience and machine learning, closely informed by experimental observations. More details here: shorturl.at/hkwG3<https://t.co/d7ugbOLFDV> and of our group: neuralml.github.io<https://neuralml.github.io/> Best wishes, Rui Ponte Costa Group Leader, Neural and Machine Learning group<https://neuralml.github.io/> Centre for Neural Circuits and Behaviour | Oxford Neurotheory Department of Physiology, Anatomy and Genetics Department of Experimental Psychology (honorary member) University of Oxford, UK

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[Job][PhD] at Inria Bordeaux, FR: From Reservoir Transformers to BrainGPT
by Xavier Hinaut 02 Aug '23

02 Aug '23

PhD position available at Inria, Bordeaux, France: "From Reservoir Transformers to BrainGPT" # Keywords Transformers; Reservoir Computing; Computational Neuroscience # Duration & start date 3 years starting 1st October 2023 (estimated) # Contact & Application Informal contact/questions and application: email to xavier dot hinaut at inria dot fr Application & More info: https://recrutement.inria.fr/public/classic/en/offres/2023-06611 All positions available: https://github.com/neuronalX/phd-and-postdoc-positions Deadline: Applications will be considered on a rolling basis. A candidate will be selected as soon as a suitable profile is found. # Context This PhD thesis is part of the BrainGPT "Inria Exploratory Action" project. In the wake of the emergence of large-scale language models such as ChatGPT, the BrainGPT project is at the forefront of research in Artificial Intelligence and Computational Neuroscience. These models, although remarkably powerful, do not reflect the way in which our brains process and learn language. BrainGPT is rising to the challenge by focusing on the development of models that are more faithful to human cognitive functioning, inspired by data on brain activity during listening or reading. The ambition is to create more efficient models that are less dependent on intensive calculations and massive volumes of data. BrainGPT will open up new perspectives on our understanding of language and cognition. # Project and Work description The rapid rise in performance of language models, as demonstrated by the recent appeal of ChatGPT, is undeniable. However, the computational cost and environmental impact associated with such models are often overlooked [1]. These models rely on Transformers [2], which facilitate unsupervised learning on a large volume of data. These same models are used to predict brain activity from functional magnetic resonance imaging (fMRI) or magnetoencephalography (MEG), an application our team also exploits [3]. The main ambition of the BrainGPT project is to combine the explainability of mechanistic models with the predictive power of Transformers to analyze brain imaging data. Today, on the one hand we have explanatory but less predictive mechanistic models, such as those based on Reservoir Computing, and on the other hand, high-performance predictive models, but not explanatory, like Transformers. Our goal is to combine the best of these two approaches, to develop more efficient ("sample efficient") models inspired by Transformers, which more faithfully reflect the how the brain works, while improving the predictive power of mechanistic models. Towards this ambition, the BrainGPT project seeks to identify the key mechanisms that allow Transformers to predict brain activity. Furthermore, our project strives to build models that are more biologically plausible than Transformers, incorporating the most relevant components for predicting brain activity, while integrating constraints derived from human cognition studies. The long-term objectives of the BrainGPT project are as follows: - Making Transformers more biologically plausible, which could improve the prediction of brain activity by imaging (fMRI, MEG, etc.). - Proposing new perspectives and computing paradigms that do not rely exclusively on gradient backpropagation, given its high computational and energy cost. - Reducing the energy footprint of Transformers by minimizing the computational costs associated with their learning. In summary, the thesis will mainly consist of developing new bio-inspired models inspired by the mechanisms, learning methods, and emerging behaviors of Large Language Models (LLMs) and Transformers. Subsequently, in collaboration with our collaborators, these models will be tested to assess their ability to predict brain activity from imaging data. [1] Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021, March). On the dangers of stochastic parrots: Can language models be too big?🦜. In Proc. of the 2021 ACM conference on fairness, accountability, and transparency (pp. 610-623). [2] Vaswani, A. et al. (2017) Attention is all you need. In Proc. of Advances in neural information processing systems. [3] Oota, S. R., Trouvain, N., Alexandre, F., & Hinaut, X. (2023, August). MEG Encoding using Word Context Semantics in Listening Stories. In Proc. of INTERSPEECH 2023. # Skills Ideal Candidate Profile: - Holds an engineering or scientific degree and/or a PhD in digital sciences (computer science, automation, signal processing). - Has a first professional experience (6 months of internship or more) in Machine Learning and Python development. Especially in one or more of the following: Recurrent Neural Networks (in particular Reservoir Computing), Transformers, Large Language Models. - Possesses strong expertise in the scientific Python software and scientific stack (numpy/scipy). - Demonstrates a solid grasp of linear algebra concepts. - Proficiency in technical English is crucial, as it enables efficient collaboration with our international partners and effective presentations at conferences. - Has proven experience with version management, familiarity with Git, and proficiency in using the GitHub platform. # Advisor & Location Xavier Hinaut Inria Bordeaux & Institute for Neurodegenerative diseases (Pellegrin Hospital Campus, Bordeaux). Best regards, Xavier Hinaut Inria Research Scientist www.xavierhinaut.com -- +33 5 33 51 48 01 Mnemosyne team, Inria, Bordeaux, France -- https://team.inria.fr/mnemosyne & LaBRI, Bordeaux University -- https://www4.labri.fr/en/formal-methods-and-models & IMN (Neurodegeneratives Diseases Institute) -- http://www.imn-bordeaux.org/en --- Our Reservoir Computing library: https://github.com/reservoirpy/reservoirpy

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[JOBS] Tenure Track Assistant Professor Intelligent Systems @ Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, the Netherlands.
by Kerstin Bunte 02 Aug '23

02 Aug '23

Tenure Track Assistant Professor Intelligent Systems https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Closing date = 17-9-2023 We offer a Tenure Track Assistant Professor position with a research profile in Intelligent Systems within the Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence at the University of Groningen, The Netherlands. Intelligent Systems aim to give computers and cyber-physical systems the abilities to perceive, analyze and learn from data, make decisions, and enhance human capabilities. The research area has experienced tremendous growth in recent years, especially due to the increase in incorporation of intelligent systems into nearly every aspect of our lives. The societal relevance of sustainability, efficiency, robustness, understanding and guarantees of algorithms is gaining more and more importance, not only in software but also in combination with cyber-physical systems. Relevant aspects are: the theory of machine learning, artificial intelligence and the mathematics of computing (ACM Computing Classification System, 2012 Revision). For this position, possible research directions include (but are not limited to) the theory and application of novel machine learning and artificial intelligence methods with an emphasis on solving pressing open questions, such as efficiency, transparency and interpretability, fairness, the integration of multi-modal and complex heterogeneous data, causal inference, continuous machine learning, generative and dynamic systems. Complex problems demand an increasing amount of interdisciplinary and cross-domain knowledge. Therefore, backgrounds in information theory, probabilistic representations, causality and computational geometry are also welcome to apply. As Assistant Professor with a focus on research, you will: - set up and develop your own research line and research group - supervise PhD students - acquire external funding - promote the societal relevance of your research - teach in and contribute to the development of the degree programs of the School of Science and Engineering, especially courses with computing science content - contribute to the organization of the faculty, for example by participating in working groups and committees, in the domains of teaching, research and management. The position will be embedded in the Intelligent Systems research unit. Our research areas include biologically inspired computational modeling, the theory of machine learning and algorithmic development, as well as image processing with mathematical morphology, machine learning and AI. National and international research collaborations span a multitude of application domains, including medical sciences and health care, natural sciences (astronomy, bioinformatics), remote sensing, computer vision, robotics, smart industry and engineering. About the University of Groningen Since its foundation in 1614, the University of Groningen has enjoyed an international reputation as a dynamic and innovative center of higher education offering high-quality teaching and research. Balanced study and career paths in a wide variety of disciplines encourage currently more than 37,000 students and researchers to develop their own individual talents. Belonging to the best research universities in Europe and the top 100 universities in the world, the University of Groningen is truly an international place of knowledge. More information can be found at: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Kind regards, Kerstin -- Kerstin Bunte, Associate Professor | Rosalind Franklin Fellow Bernoulli Institute for Mathematics, Computer Science and Artificial Intelligence Faculty of Science and Engineering University of Groningen P.O. Box 407, 9700 AK Groningen The Netherlands Email: k.bunte(a)rug.nl web: http://www.cs.rug.nl/~kbunte/

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Advanced Electrophysiology Post-doc Position Available - Interventional Psychiatry Program, Minneapolis, MN, USA
by Hiba Sheheitli 01 Aug '23

01 Aug '23

*About the Job* Dr. Ziad Nahas (Interventional Psychiatry Lab) in the University of Minnesota Department of Psychiatry and Behavioral Sciences is seeking an outstanding candidate for a postdoctoral position to conduct and analyze the effects of neuromodulation on brain activity in mood disorders. Candidates should be passionate about advancing knowledge in the area of translational research of depressive disorders and other mental health conditions with a focus on invasive and non-invasive brain stimulation treatments. The position is available June 1, 2023, and funding is available for at least two years. *Qualifications* Required Qualifications: ●PhD in relevant field (neuroscience, psychology, cognitive science) ●Strong programming and/or data analysis skills. MATLAB or Python is essential. C/C++ (and derivatives), LabVIEW, and scripting languages could be useful. Prior experience with data acquisition hardware including behavioral as well as EEG would be helpful. Proficiency with Microsoft Office software ●Experience with neurophysiology (human or animal), psychophysics and/or brain stimulation is ideal. ●Excellent verbal and written communication skills, with specific documentation of those skills through published work and oral scientific presentations. ●Demonstrated ability to work independently and to independently overcome complex technical challenges. ●Interpersonal skills appropriate for collaboration in a very multidisciplinary and highly diverse environment. Preferred Qualifications: •Previous experience with psychiatric patient populations, the biological mechanisms of mental illness, and/or medical device development. •Signal processing and/or computer science background. •Previous experience with human functional imaging or electrophysiology. *About the Department* Dr. Ziad Nahas’s Lab is located primarily at the Interventional Psychiatry Program’s St. Louis Park clinic, with additional study activity at UMN and M Health Fairview sites on the UMN campus. Our work focuses on advancing translational research of mood dysregulation and depressive disorders. Specific interests and areas of expertise include: ● Improving patient care of treatment resistant disorders using neuromodulation techniques. ● Functional neuroimaging (fMRI), electroencephalography (EEG) and brain stimulation modalities: Transcranial magnetic stimulation (TMS), transcranial alternating current stimulation (tACS), vagus nerve stimulation (VNS), prefrontal cortical stimulation (PCS), deep brain stimulation (DBS), electroconvulsive therapy (ECT) and focal electrically administered seizure therapy (FEAST). ● Increasing equitable access to neuromodulation interventions for patient care. To learn more about Dr Ziad Nahas and the Department of Psychiatry & Behavioral Sciences, please visit: https://med.umn.edu/bio/psychiatry/ziad-nahas *Apply here: * https://hr.umn.edu/Jobs/Find-Job <https://hr.umn.edu/Jobs/Find-Job> (Click on External Candidates and search for 355003 to find the Job Posting)

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NeurIPS Workshop "Information-Theoretic Principles in Cognitive Systems"
by Rava A. da Silveira 30 Jul '23

30 Jul '23

NeurIPS Workshop: "Information-Theoretic Principles in Cognitive Systems" CALL FOR PAPERS Website (with submission information): https://sites.google.com/view/infocog-neurips-2023/call-for-papers Contact: infocog.neurips2023(a)gmail.com Important Dates: * Paper submission deadline: September 20, 2023 * Author notification: October 27, 2023 * Camera ready deadline: November 27, 2023 The second InfoCog@NeurIPS workshop aims to further the understanding of information flow in cognitive processes and neural networks models of cognition by bringing together researchers from multiple disciplines, including machine learning, cognitive science, neuroscience, and information theory. This is the second workshop of this kind in NeurIPS. This year the workshop will continue last year’s community-building momentum and will additionally focus on advancing two main goals: First, providing a fruitful platform for discussing formulations of storage and processing of information in human and artificial cognitive systems, via information-theoretic measures. Specifically, we aim to further integrate information theory researchers in such discussions, deepening the mathematical knowledge and tools shared across disciplines. [NZ1] Second, facilitating research on addressing the challenges of computing information theoretic quantities, specifically for the needs of cognitive science and machine learning. We invite short submissions (up to 4 pages – NeurIPS format) that present original work related to information theory and cognitive systems, and particularly encourage submissions of collaborative interdisciplinary work. Examples of specific topics of interest include but are not limited to: * Novel information-theoretic approaches to cognitive functions (e.g., perception, decision making, language, social reasoning, etc.) * Method and approaches for the validation of information theoretic formalisms in human and artificial cognition * Novel methods and approaches for the computation and/or estimation of information theoretic quantities and their applications to human and artificial cognition * Challenges and limitations of the use of information theory in studying cognitive systems * Application of information theory to training human-aligned artificial agents, i.e., agents that can better communicate and cooperate with humans All accepted papers will be presented in a poster session during the workshop, and a number of papers will also be selected for an oral presentation. We expect to have limited resources to offer financial aid to selected participants. More details will follow upon acceptance.

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Postdoc in computational modeling at Stanford Cognitive & Systems Neuroscience Lab
by Mai-Phuong K Bo 27 Jul '23

27 Jul '23

The Stanford Cognitive and Systems Neuroscience Laboratory (scsnl.stanford.edu) invites applications for a postdoctoral fellowship in human brain network analysis and modeling. We seek candidates with strong research backgrounds in one or more of the following areas: resting-state and task-evoked fMRI connectivity, structural HARDI-based connectivity, neurophysiological modeling of brain networks, Bayesian modeling, machine learning, and deep neural networks. Candidates must have strong computational skills and a PhD in computational neuroscience, computer science, physics, biomedical engineering or related fields. This is an exciting opportunity to work on multiple NIH- and Stanford-funded projects using multimodal (fMRI, optogenetic, DTI, EEG) brain imaging techniques in multiple clinical populations and normative groups. The successful candidate will develop a vigorous research program that contributes to, and complements, ongoing research studies. The candidate will have access to state-of-the-art brain imaging and HPC/GPU facilities.  Please email a CV, statement of research interests and relevant background, and have three letters of reference sent to Prof. Vinod Menon at  scsnl.stanford+postdoc(a)gmail.com<mailto:scsnl.stanford@gmail.com> Mai-Phuong Bo (She/Her) Lab & Recruitment Manager Stanford Cognitive & Systems Neuroscience Lab Department of Psychiatry & Behavioral Sciences Email: maipbo(a)stanford.edu [cid:93b74359-266e-493c-9def-d9fb37f515df]

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PhD position at the TU Delft at the crossroads of machine learning and hardware design
by justin＠dauwels.com 27 Jul '23

27 Jul '23

Dear colleagues, We are looking for a highly motivated Ph.D. candidate with a background in machine learning and/or in electrical engineering for a project at the TU Delft at the crossroads of machine learning and hardware design. Building autonomous agents that can reliably compute and take decisions in noisy and uncontrolled environments is among the top research areas in today's artificial intelligence (AI). Yet, doing so within constrained power budgets for battery-operated edge devices is currently an open challenge. Indeed, while current cutting-edge deep-learning approaches can now reach acceptable performance in such environments, they are still subject to adversarial attacks and need a backend of GPU clusters, thereby requiring 4 to 6 orders of magnitude more power than is allowed for by the edge power budgets. On both ends of the spectrum of learning algorithms are the error backpropagation algorithm, i.e. the workhorse of modern deep learning, and local Hebbian learning rules, which are inspired by the brain's synaptic plasticity mechanisms. The former offers excellent performance but its energy/memory footprint is incompatible with low-power edge devices, while the latter allows for low-cost hardware implementations but can hardly be deployed beyond toy problems. In this PhD project, you will tackle this challenge by: * developing a theoretical framework that will allow exploring and generating, in a use-case-driven fashion, emerging learning algorithms that combine the strengths of local brain-inspired learning and backprop, * with a hardware/algorithm co-design approach, developing custom neuromorphic silicon prototypes (digital, then mixed-signal) for the proposed learning rules * investigating the deployment of these adaptive prototypes in resource-constrained use cases at the edge, such as brain implants for seizure detection. This project is a collaboration between Dr. Charlotte Frenkel (neuromorphic hardware, hardware/algorithm co-design, brain-inspired machine learning) and Dr. Justin Dauwels (Bayesian machine learning, computational neuroscience, biosignal processing). About the Department of Microelectronics at TU Delft: https://microelectronics.tudelft.nl/ About the CogSys research lab: https://ei.et.tudelft.nl/Research/theme.php?id=63 The expected starting date is 01/11/2023 and deadline for application is 01/09/2023. For more information and to apply, please visit this website <https://www.tudelft.nl/over-tu-delft/werken-bij-tu-delft/vacatures/details? jobId=13043&jobTitle=PhD%20Position%20in%20Bio-plausible%20Local%20Learning% 20Rules%20for%20Adaptive%20Neuromorphic%20Hardware> . Greetings, Justin. _______________________________________________________________ Justin Dauwels j.h.g.dauwels(a)tudelft.nl <mailto:j.h.g.dauwels@tudelft.nl> Associate Professor http://cas.tudelft.nl/ Fac. EEMCS Section Circuits and Systems Mekelweg 4 2628 CD Delft, The Netherlands _____________________________________________________________________

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SUBMIT YOUR WORK TO COMPLEX NETWORKS 2023 BEFORE SEPT. 02, 2023
by Hocine Cherifi 26 Jul '23

26 Jul '23

*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/> You are cordially invited to submit your contribution until *September 02, 2023*. *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 *PUBLICATION* Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. · *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 <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 *SUBMISSION* https://complexnetworks.org/submission/ *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) Join us at COMPLEX NETWORKS 2023 <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 Applied Network Science <https://appliednetsci.springeropen.com/> Plos Complex Systems <https://plos.org/complex-systems-research-journal/#:~:text=PLOS%20Complex%2….> 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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Call for Abstract Submission FRoBio: Freiburg Robotics and Biology Conference
by Timo Oess 24 Jul '23

24 Jul '23

Dear all, We are pleased to announce the FRoBio: Freiburg Robotics and Biology Conference - Bringing together nature and technology. The conference will take place on 22nd of November until 24th of November 2023 at the University of Freiburg, Germany. The event brings together international experts of different disciplines, such as biology, chemistry, medicine, materials science, nanotechnology, electrical engineering, mechanical engineering, optics, and robotics to share so far untackled research questions or current challenges, novel methods and approaches that are applicable for multiple fields or interdisciplinary research. Abstract submission is now open for in-person participants and the deadline is September, 8th 2023. The registration for online participants will be open in October 2023. For further information on the conference and In-Person / Online Registration please visit the conference website. <https://www.frias.uni-freiburg.de/de/veranstaltungen/nachwuchskonferenzen/F…> We are looking forward to seeing you at FRoBio in November 2023! Best regards, The Organizing Committee

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Apply to the Allen Institute's OpenScope program
by Anton Arkhipov 24 Jul '23

24 Jul '23

Dear Colleagues, Applications are now accepted for the Allen Institute's OpenScope program. Please apply! The OpenScope program, supported by the NIH BRAIN grant U24NS113646, provides the neuroscience community access to the Allen Brain Observatories. The program was inspired by astronomical observatories, which allow a community of scientists to access platforms too large or expensive for most laboratories. Through OpenScope, anyone can propose experiments for Allen Institute staff to run on Allen Institute pipelines. If selected, the proposed experiments are performed with the Allen Institute's verified, reproducible, and open protocols for cutting-edge behavioral training, in vivo Neuropixels electrophysiology, or two-photon calcium imaging. Data produced from the experiments is then shared with applicants, and, eventually, the broader community. How to apply? The program uses a double-blinded proposal review. Individuals or teams draft and submit a proposal, with an applicant commitment to perform data analysis and pursue publication. * RFP released July 10, 2023 * 2pg Letter of Intent Due: September 12th 2023 * 6pg Full Proposal Due: November 7th 2023 * For more details: https://alleninstitute.org/division/mindscope/openscope/ * If any questions or to discuss projects, please reach out to openscope(a)alleninstitute.org<mailto:openscope@alleninstitute.org> New for 2023: Community Proposal Research Questions and Experimental Methods are proposed and voted on by the community in an open, collaborative process. The resulting data is immediately available to the community for anyone to analyze and publish. * Posted on Allen Brain Map Community Forum: https://community.brain-map.org/ * Opportunity announced in June 2023 * Research Question Phase: June-July 2023 * Methods & Analysis Phase: July-September 2023 * Final Vote by the community in November 2023 during SFN Best wishes, Anton. Anton Arkhipov Investigator Allen Institute, Seattle, WA

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ICANN 2023 - Call for Participation
by Sebastian Otte 24 Jul '23

24 Jul '23

32nd International Conference on Artificial Neural Networks ICANN 2023 https://e-nns.org/icann2023 !!! EARLY BIRD REGISTRATION ENDS ON JULY 25 !!! Conference Dates: 26th to 29th of September 2023 ======================================================================= The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2023 the School of Engineering of Democritus University of Thrace, Greece, will organize ICANN 2023. This will be held at Astoria Capsis Hotel at Heraklion city, Crete, Greece from 26th to 29th of September 2023. The conference will be organized as a HYBRID event. CONFERENCE TOPICS ICANN 2023 is a conference featuring tracks in Brain Inspired Computing, Machine Learning, and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models, Recurrent Networks, Ethics of AI Brain Inspired Computing: Cognitive Models, Computational Neuroscience, Self-Organization, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics, Cognitive Neuroscience, Brain Informatics, Perception and Action, Spiking Neural Networks Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Speech Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neuromorphic Computing and Edge AI, Evolutionary Neural Networks SPECIAL SESSIONS ICANN 2023 will host three special sessions: - Neurorobotics (track NRR 2023) - Recent Advances in Spiking Neural Networks (track ARNN 2023) - The challenge of errors, stability, robustness, and accuracy in deep neural networks (track ESRA in DNN 2023) BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards. All awards will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details are provided on the conference website. ORGANIZATION General Chairs Iliadis Lazaros, Democritus University of Thrace, Greece Plamen Angelov, Lancaster University, UK Program Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Elias Pimenidis, UWE Bristol, UK Chrisina Jayne, Teesside University, UK Honorary Chairs Stefan Wermter, University of Hamburg, Germany Vera Kurkova, Czech Academy of Sciences, Czech Republic Nikola Kasabov, Auckland University of Technology, New Zealand Organizing Chairs Antonios Papaleonidas, Democritus University of Thrace, Greece Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece George Magoulas, University of London, Birkbeck College, UK Haralambos Mouratidis, University of Essex, UK Award Chairs Stefan Wermter, University of Hamburg, Germany Chukiong Loo, University of Malaysia, Malaysia Communication Chairs Sebastian Otte, University of Tübingen, Germany Anastasios Panagiotis Psathas, Democritus University of Thrace, Greece

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Mathematical Bridges for the Brain: Krembil Computational Neuroscience Symposium (October 2--3, 2023; Toronto, Canada)
by De Pitta, Maurizio 24 Jul '23

24 Jul '23

Dear colleagues, Please mark your calendars for this fall's Krembil Computational Neuroscience Hub Symposium on "Mathematical Bridges for the Brain: Theory and Practice in Neural Health and Disease," which will happen on October 2--3, 2023, hosted by the Krembil Research Center in Toronto, Canada. The Symposium has been thoughtfully crafted to showcase cutting-edge computational approaches that bridge across various brain scales, ranging from cellular to systems neuroscience, with a particular focus on translational and clinical applications. By bringing together prominent experts from the intersection of mathematics, engineering, clinical, and experimental neurosciences, we aim to delve into the depths of the latest computational methods in understanding brain pathophysiology. Speakers include: Emery Brown (Harvard/MIT) Maurizio De Pitta (Krembil / Basque Center for Applied Mathematics) Brent Doiron (UChicago) Salvador Dura-Bernal (SUNY) Lorraine Kalia (Krembil, UHN) Rahul Krishnan (UToronto) Milad Lankarany (Krembil/UToronto) Jérémie Lefebvre (UOttawa/Krembil) Wilten Nicola (UCalgary) Annabelle Singer (Georgia Tech/Emory) In keeping with the long-standing tradition of the KCNhub, the Symposium is not just a platform for academic exchange; it also presents a wonderful opportunity for networking and forging connections with fellow computational neuroscientists and digital medicine enthusiasts Please visit the Eventbrite site for further details on the program and registration https://www.eventbrite.ca/e/krembil-computational-neuroscience-kcn-symposiu… Due to the limited number of seats available, registration is free but mandatory. Looking forward to seeing you in Toronto this fall. On behalf of the Organizing Committee. Maurizio De Pitta ----- 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 This e-mail may contain confidential and/or privileged information for the sole use of the intended recipient. Any review or distribution by anyone other than the person for whom it was originally intended is strictly prohibited. If you have received this e-mail in error, please contact the sender and delete all copies. Opinions, conclusions or other information contained in this e-mail may not be that of the organization. If you feel you have received an email from UHN of a commercial nature and would like to be removed from the sender's mailing list please do one of the following: (1) Follow any unsubscribe process the sender has included in their email (2) Where no unsubscribe process has been included, reply to the sender and type "unsubscribe" in the subject line. If you require additional information please go to our UHN Newsletters and Mailing Lists page. Please note that we are unable to automatically unsubscribe individuals from all UHN mailing lists. Patient Consent for Email: UHN patients may provide their consent to communicate with UHN about their care using email. All electronic communication carries some risk. Please visit the UHN website and search “Using email to Communicate with Your UHN Health Care Team” to learn about the risks of electronic communication and how to protect your privacy. You may withdraw your consent to receive emails from UHN at any time. Please contact your care provider, if you do not wish to receive emails from UHN.

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Neuronal data scientist position
by Nikolas Karalis 23 Jul '23

23 Jul '23

If you are a data scientist, programmer, or engineer, with a keen interest in helping to understand the brain, consider joining our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). We study the principles of neuronal circuit organization and brain dynamics. Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity and communication between brain regions during behavior. To achieve our goals, we perform large-scale recordings from thousands of neurons simultaneously using multimodal recordings, including electrophysiological or optical imaging approaches. We employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice to record and manipulate the brain activity during behavior. Using this unprecedented data, we will be able to understand information flow in the brain in ways that would be unimaginable only a few years ago. However, the scale and complexity of this data provide major challenges and unique opportunities. We are looking for computationally-orientated researchers to join our team as temporary or permanent staff members, to help us develop methods to interact and analyze our multi-dimensional neurophysiological and behavioral data, and to develop innovative analysis approaches and efficient processing pipelines, to accelerate the progress of our research on our path to understanding the brain. As a data analyst in our group, you will interact closely with experimentalists and contribute crucially to the research. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your profile aligns with our research needs, we encourage you to get in touch with us. Profile - Outstanding analytical and quantitative skills - Interest in neuronal dynamics and computation, behavior, and neural circuits - Ability to analyze multi-dimensional and multi-modal data - PhD or MSc in neuroscience, data science, computer science, applied mathematics, physics, or equivalent combination of degree and experience - Experience with computational statistics, data modeling and analysis, signal processing, and modern machine-learning methods - Solid programming skills and ability to write high-quality, reusable code in Python or Matlab - Experience with software development (e.g., version control, unit testing, databases) is preferable Main responsibilities - Organize data management pipeline - Analyze neurophysiological and behavioral data - Develop analysis methods and software tools to facilitate the analysis of multi-modal and multi-dimensional neurophysiological data - Implement cutting-edge data science approaches (statistical, computational, and ML) for complex neuroscience problems - Create robust and efficient data pipelines to extract, transform, and visualize data - Develop, test, and implement scientific software (e.g., for reproducible analysis pipelines and data storage) - Interact with experimentalists to design experiments and implement analyses - Analyze current technologies, algorithms, models, and methods - As part of your role, you will have the opportunity to collaborate with other teams, attend trainings, mentor students, have independent projects, and present at major relevant conferences (Cosyne, NeurIPS) *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Research technician position
by Nikolas Karalis 23 Jul '23

23 Jul '23

We are seeking a passionate and dedicated research technician to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM). Our work focuses on unraveling the fascinating mysteries of how the brain generates internal states and how neuromodulators, such as dopamine and serotonin, influence neuronal activity during behavior. To achieve our goals, we employ state-of-the-art techniques, including behavioral, optogenetic, imaging, electrophysiological, and genetic approaches in mice. *Profile* - We are searching for a science enthusiast who recognizes the importance of the foundational work that keeps a lab thriving. - Responsibility, attention to detail, and high motivation. - Exceptional organizational and communication skills are a must. - As a valuable team member, you will tackle lab-related issues independently, fostering a friendly and dedicated work environment. - Your record-keeping and computer skills will be essential, as will your fluency in English. Fluency in French is a plus. - While prior experience in specific neuroscience techniques (such as stereotaxic surgeries, behavior, and histology) is advantageous, it is not mandatory, as training will be provided. - However, candidates should have completed relevant technical training or hold a university degree in biological sciences (or equivalent). - Applicants with an M.Sc. or Ph.D. are encouraged to apply. - A desire to learn new techniques and apply them with high standards, coupled with a strong work ethic and reliability, will be crucial. - Experience in neuroscience techniques such as stereotaxic surgeries, behavioral experimentation, and histological processing is highly desired. *Main Responsibilities* - As a research technician, you are at the epicenter of our research activities and you will serve as a point of reference of the lab know-how across generations of lab members. - As a hands-on research technician, your primary responsibilities will include organizing the laboratory, maintaining basic lab infrastructure, performing routine tasks, regularly updating lab databases, ensuring the lab runs efficiently, and contributing to the team's research efforts. - Collaborating closely with the team, you will contribute to ongoing research projects and you will conduct behavioral and optogenetic experiments, carry out stereotaxic surgeries, and handle histological processing, including tissue slicing, immunostaining, and fluorescent microscopy. - You will be responsible for learning, developing, and passing on Standard Operating Procedures (SOPs) for the techniques utilized in our lab. - Additionally, in coordination with the head of the animal facility, you will supervise and ensure adherence to animal welfare guidelines, as well as maintain project permits and annual reports. - This role provides the opportunity to lead and participate in research projects to the extent of your desire. *We offer* competitive compensation and benefits within an interactive, interdisciplinary working environment, where cutting-edge science thrives and a dynamic, international research community awaits. As part of your role, you will receive extensive training in traditional and cutting-edge neuroscience techniques related to mice. If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. - We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. The position is available immediately, with the potential for a permanent contract based on performance. Please send a statement of your past work and interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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Postdoctoral researcher position
by Nikolas Karalis 23 Jul '23

23 Jul '23

We invite applications for postdoctoral researchers to join our team Neuronal Circuits & Brain Dynamics <http://neuronaldynamics.eu/> at the Paris Brain Institute <https://institutducerveau-icm.org/en/> (ICM) to study the principles of neuronal circuit organization and brain dynamics. If you are an ambitious and driven researcher, interested in experimental or computational systems and circuits neuroscience, and seeking an environment that fosters intellectual and professional growth, we invite you to consider joining our team. Together, we'll make a lasting impact on science and pave the way for your successful research career. Our team values diversity and welcomes researchers from all backgrounds and profiles. If your project ideas align with our research focus, we encourage you to get in touch with us. *Research Topics* We are interested in how neuronal circuits are organized and how the collective action of neurons gives rise to the emergent complex brain dynamics and behavior. We focus on how neurochemicals and bodily signals influence the brain. - We study how the simultaneous release of neuromodulators <https://www.neuronaldynamics.eu/research/research-topics/neuromodulators> influences the activity of neurons and the coordination of brain regions - We also study how bodily signals, such as breathing <https://www.neuronaldynamics.eu/research/research-topics/breathing>, serve as fundamental elements of the oscillatory circuit architecture - We employ our approach to study the brain dynamics during behavior and sleep <https://www.neuronaldynamics.eu/research/research-topics/sleep-memory-conso…> and their involvement in the transformation of fleeting experiences into long-term memories To answer these fundamental questions about the nature and function of the brain, we combine a range of cutting-edge neurotechnologies <https://www.neuronaldynamics.eu/research/techniques> that enable us to observe and control the activity of the brain. We aim to identify and explore the fundamental principles of neural circuit organization and apply our understanding for the improvement of the human condition. Pure experimental, as well as computational/theoretical, or hybrid projects are available, depending on your interest and skills. *Profile* We are particularly interested in researchers with one or more of the following: - Background in neuroscience, physics, mathematics, computer science, or biology - Experience with rodent neuroscience - *Experience with in vivo* or slice electrophysiology, or 1P/2P imaging - Experience with behavioral experimentation Quantitative spirit and proficiency in data analysis and programming are essential for success in our lab. We strongly encourage applications from individuals that have been traditionally underrepresented in the sciences. *Opportunities* As a postdoctoral researcher in our group: - You will be an integral part of shaping our research direction and team culture. You will engage in exciting and meaningful research and will have access to all the tools necessary to push the boundaries of scientific exploration, with our cutting-edge techniques and state-of-the-art facilities. - You will have the opportunity to mentor graduate and master's students. This role enhances your leadership and communication skills while you contribute to the growth of the next generation of scientists. By guiding and collaborating with these aspiring researchers, you contribute to the collective knowledge and expertise of the team. Mentoring fosters a supportive and enriching atmosphere that reduces the mental strain of working alone on a project, as you can share ideas, problem-solve together, and gain fresh perspectives. - You will have ample opportunities to develop vital skills for your future academic career, such as mentoring, grant writing, presenting your work, publishing papers, and leading projects to completion. In parallel, you will gain invaluable first-hand experience in setting up and managing a young research team. - We encourage participation in conferences and workshops, where you can present your research findings to the wider scientific community. *Why join our team* - We are a young and vibrant group of scientists, fueled by curiosity and passion for understanding the brain. We work as a team and use or invent cutting-edge neurotechnologies to answer fundamental questions in neuroscience. - Our team is committed to the training, mentorship, and career development of the next generation of neuroscientists. To achieve that, we foster an inclusive and supportive environment, where we can learn and advance science while having fun in the process. - Our work is multi-disciplinary, and so is our team. Irrespective of your background and project, our research environment will expose you to a diverse range of experimental and computational aspects of systems and circuits neuroscience. We thus encourage everyone to apply, especially those from underrepresented minorities. - Working in our team will provide you with invaluable experience across all stages of research and you will have the opportunity to engage in experiment design and execution, method development, software design, and data analysis, as well as publishing and communicating research results. - Our team is affiliated with Inserm <https://www.inserm.fr/> and is located in the Paris Brain Institute (ICM) <https://institutducerveau-icm.org/>, where we have access to state-of-the-art facilities and resources. - Our vibrant community at the ICM and throughout Paris promotes broad collaboration and learning opportunities. If you would like to know more, visit our website: neuronaldynamics.eu and read about our team's mission and values <https://www.neuronaldynamics.eu/team/mission-values>. *How to apply* If you are eager to join our vibrant research community and contribute to groundbreaking discoveries, we warmly welcome your application. Please send a statement of your past work and future research interests, your CV, and contact information for 1-3 references to the address: contact(a)neuronaldynamics.eu -- Nikolas Karalis Neuronal Circuits & Brain Dynamics Lab <http://neuronaldynamics.eu/> - Paris Brain Institute

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OHBM 2023 Educational Course on Whole-Brain Models
by Taha Morshedzadeh 21 Jul '23

21 Jul '23

Whole-brain, Connectome-based Models of Brain Dynamics: From Principles to Applications OHBM 2023 Montréal, Canada Do you want to learn how to model the human brain as a complex network of interacting regions? Do you want to discover how network science can help you understand the brain's structure, function, and dynamics? If so, join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications, part of the OHBM 29th Annual Meeting. This course will introduce you to the principles and methods of whole-brain network modelling, a cutting-edge approach that combines data from structural and functional neuroimaging, systems and cognitive neuroscience, dynamical systems and network science, neurology and psychiatry, computational neuroscience, and machine learning. You will learn how to use network models to simulate the brain's activity, explore its emergent properties, and test hypotheses about its mechanisms and disorders, and to lastly build subject-specific models that could be used for personalized mental health care. In the hands-on sessions, you will also have the opportunity to model electroencephalography (EEG), magnetoencephalography (MEG), and blood oxygen level dependent (BOLD) data, in projects that are designed to address ongoing critical research questions in computational neuroscience. You will be guided through the material by the instructors and the TAs in learning and performing the modelling and analysis tasks. This course is designed for researchers who have some background in neuroimaging and computational neuroscience, but who want to extend their knowledge and skills in whole-brain network modelling. It will also be useful for anyone who is curious about this exciting and rapidly growing field. Register now and join us for this Educational Course on Whole-Brain Network Modelling: Concepts, Methods, and Applications: https://griffithslab.github.io/OHBM-whole-brain-modelling-course/ Time: Saturday, Jul 22: 8:00 AM - 5:00 PM Organizers: Davide Momi, Joana Cabral, John Griffiths Speakers: Viktor Jirsa, Joana Cabral, Sorenza Bastiaens, Michael Breakspear, James Mac Shine, Laura Suárez, Borana Dollomaja, Leon Stefanovski Venue: Room #516DE - Palais des congrès de Montréal, Montréal, Canada. 29th Organization for Human Brain Mapping Conference (OHBM) Conference. Registration: Directly through OHBM, more info at this link: ww6.aievolution.com/hbm2301/index.cfm?do=ev.viewEv&ev=1192

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Postdoc position Cluster for advanced study of collective behavior at University of Konstanz
by Ahmed Elhady 21 Jul '23

21 Jul '23

Dear Colleagues, We are seeking a PostDoc with a quantitative background who has finished (or about to finish) a doctoral degree in a quantitative field preferably but not limited to physics. The candidate should show enthusiasm for tackling theoretical foundations of behavior. The PostDoc will join our interdisciplinary and international team studying social foraging in animal groups. The researcher will be based in the integrative biophysics group at the University of Konstanz and Max Planck Institute of Animal Behavior, located in Konstanz, Germany. The integrative biophysics group led by Dr. Ahmed Elhady is focused on theoretical and computational understanding of mechanisms underlying foraging. The group has an extensive network of local and international collaborators. Through those collaborations, the PostDoc researcher will have access to a large number of data sets depicting foraging behaviors in locusts, rodents, non-human primates (marmosets) and human performing similar social foraging tasks. The PostDoc project can potentially address the following questions: 1. What are the quantitative foraging decision strategies employed by a particular animal species during social foraging? 2. How does those decision strategies compare across animal species in a quantitative evolutionary manner? 3. How did evolutionary processes quantitatively shape foraging behaviours? 4. How can one extend social foraging theory to account for different group size and different spatial environmental constraints? For a glimpse of our research work , please check this talk given by the group leader Ahmed Elhady : https://www.youtube.com/watch?v=bRNnsgka0d0 For questions about the position and / or research of the integrative biophysics group, please do not hesitate to contact me via email : ahmed.el-hady(a)uni-konstanz.de The postdoc position will be embedded within the highly collaborative environment of the cluster for advanced study of collective behavior at the University of Konstanz. The expected starting date is 01/12/2023 and deadline for application is 15/09/2023. For more information and application , please visit the website :https://stellen.uni-konstanz.de/jobposting/4418ec7f80f7b2371d7a0e963fab434a58c726cd0 All the best regards, Ahmed Dr. Ahmed Elhady Group leader Integrative biophysics group Cluster for Advanced Study of Collective Behavior Max Planck Institute of Animal Behavior Universitätsstraße 10, 78464 Konstanz Room ZT 907 Postbox 687 Tel.: +49 7531 88-4742

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Registration open: FSL Course 2023 - Sept 11th-22nd
by Rezvan Farahibozorg 20 Jul '23

20 Jul '23

Dear all, We are pleased to announce that registration is now open for FSL Course 2023, which will be held *fully online*, 11th - 22nd September 2023. You can find details and registration info here: https://open.win.ox.ac.uk/pages/fslcourse/website/ To strike a balance between broad accessibility and the benefits of in-person interaction, the FSL Course intends to follow an approximately alternating pattern of fully in-person and fully online courses. The only option to attend the course in 2023 will be this online course. Both new and existing users of FSL are welcome on the course, as it aims to cover both basic and more advanced features of FSL. The course covers the theory and practice of functional, structural, diffusion and resting state brain image analysis, with recorded lectures and live practical sessions where attendees learn how to carry out analysis for themselves on real data, with access to experienced tutors available throughout each session. To accommodate different time zones, there will be two parallel courses repeating the same content. Each session will consist of a self-paced practical, with guidance available from our expert tutors via Zoom (or equivalent), and all FSL software and course data pre-installed and ready to go on a cloud-enabled virtual desktop. All lectures will be pre-recorded and available as video podcasts, and speakers will be available for questions and discussions. You would need your own computer/laptop/tablet that can do video conferencing and host the remote desktop client, as well as a reasonable internet connection that is good enough for video conferencing. If your institute is at a low/middle income country, you will also be able to request a discount, as instructed on the registration page. We hope to see you at the course! The FSL Course team

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Computational Neuroscience Postdoc Positions
by Neymotin, Samuel (NKI) 19 Jul '23

19 Jul '23

Postdoctoral scientist positions are available at the Nathan Kline Institute (NKI) for Psychiatric Research (https://www.nki.rfmh.org<https://www.nki.rfmh.org/>) to work on computational neuroscience research funded by recently awarded NIH and DoD grants. Our NIH-funded projects investigate the brain's dynamic circuit motifs underlying internal vs. external-oriented processes in the auditory and interconnected areas, using circuit modeling of the thalamocortical system. In this project, the postdoc will build data-driven biophysical models constrained by data collected from electrophysiology labs at NKI and Columbia (Noelle O’Connell, Charlie Schroeder, Dan Javitt) & The Feinstein Institutes for Medical Research (Stephan Bickel), and then use the models to predict optimal neuromodulation strategies for inducing/suppressing circuit patterns, testable in vivo. Related projects include investigating the origin of electrophysiology patterns observed in the auditory system of animal models of schizophrenia (biomarkers including mismatch negativity and altered oscillatory patterns), and using modeling to predict their circuit-level origins and potential treatments. Recent related publications (https://www.biorxiv.org/content/10.1101/2022.02.03.479036v2.abstract , https://www.eneuro.org/content/9/4/ENEURO.0281-21.2022.abstract , https://www.sciencedirect.com/science/article/pii/S0006322319318517) Our DoD project involves developing computational models of the hippocampal and entorhinal cortex circuitry used in spatial navigation, higher level decision making circuits, and integrating the models with agents learning to solve navigation tasks using neurobiologically-inspired learning rules. This project includes mathematicians and robotics researchers at UTK and CMU. Recent related publications (https://www.frontiersin.org/articles/10.3389/fncom.2022.1017284/full , https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0265808) Applicants should have a strong background in: multiscale modeling using NEURON/NetPyNE, Python software development, neural/electrophysiology data analysis, machine learning, and writing/presenting research. To apply, email a CV and cover letter to Sam Neymotin (samnemo(a)gmail.com) The position requires presence at NKI (New York), with part telecommuting. ________________________________ IMPORTANT NOTICE: This e-mail is meant only for the use of the intended recipient. It may contain confidential information which is legally privileged or otherwise protected by law. If you received this e-mail in error or from someone who was not authorized to send it to you, you are strictly prohibited from reviewing, using, disseminating, distributing or copying the e-mail. PLEASE NOTIFY US IMMEDIATELY OF THE ERROR BY RETURN E-MAIL AND DELETE THIS MESSAGE FROM YOUR SYSTEM. Thank you for your cooperation.

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CFP COMPLEX NETWORKS 2023 Menton Riviera France November 28 - 30, 2023
by Fabian Braesemann 19 Jul '23

19 Jul '23

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/> You are cordially invited to submit your contribution until September 02, 2023. 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 PUBLICATION Full papers (not previously published up to 12 pages) and Extended Abstracts (about published or unpublished research up to 4 pages) are welcome. ● 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 one<https://journals.plos.org/plosone/> o Social Network Analysis and Mining<https://link.springer.com/journal/13278> edited by Springer SUBMISSION https://complexnetworks.org/submission/ TOPICS Topics include, but are not limited to: * Models of Complex Networks * Structural Network Properties and Analysis * Epidemics * Community Structure * Motifs * Network Mining * Network embedding * Machine learning with graphs * Dynamics and Evolution Patterns of Complex Networks * Link Prediction * Multilayer Networks * Controllability * Synchronization * Visual Representation * Large-scale Graph Analytics * Social Reputation, Influence, and Trust * Information Spreading in Social Media * Rumour and Viral Marketing in Social Networks * Recommendation Systems * Financial and Economic Networks * Mobility * Biological and Technological Networks * Mobile call Networks * Bioinformatics * Earth Sciences Applications * Resilience and Robustness of Complex Networks * Networks for Physical Infrastructures * Networks, Smart Cities and Smart Grids * Political networks * Supply chain networks * Complex networks and information systems * Complex networks and CPS/IoT * Graph signal processing * Cognitive Network Science * Network Medicine * Network Neuroscience * Quantifying success through network analysis * Temporal and spatial networks * Historical Networks * 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

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1st CFP IV Latin American Workshop on Computational Neuroscience (LAWCN 2023) - Institution University of Envigado, Colombia - 28 - 30 Nov 2023
by Jaime Andres Riascos Salas 18 Jul '23

18 Jul '23

CALL FOR PAPERS Paper Submission Deadline: August 1, 2023 IV LATIN AMERICAN WORKSHOP ON COMPUTATIONAL NEUROSCIENCE (LAWCN) November 28-30, 2023 Institution University of Envigado, Envigado, Colombia. www.lawcn.co Contact: lawcn(a)iue.edu.co Overview The IV Latin-American Workshop on Computational Neuroscience (LAWCN 2023) provides an international forum to bring students, academic researchers, and professionals from diverse backgrounds to present cutting-edge research on four major topics: Computational Neuroscience, Neuroscience, Neuroengineering, and Artificial Intelligence. Since the first edition, LAWCN has contributed to revealing knowledge about the brain in an enthusiastic atmosphere for sharing ideas, creating networks, and fostering collaboration among Latin countries and the world. The current edition is organized by the research group "Grupo de Investigación Tecnologías Emergentes Sostenibles e Inteligentes GITESI" from the Engineering Faculty of the Institution University of Envigado (IUE), in collaboration with the Colegio Colombiano de Neurociencias (COLNE), the most representative association of neuroscience researchers and students in Colombia. The workshop will take place in the city of Envigado (Antioquia - Colombia) from November 28 to 30, 2023. This is the first LAWCN edition outside of Brazil, expanding its presence to Latin America, seeking for enhancing the collaboration network among the countries of our region but keeping the worldwide approach. Envigado is in the Metropolitan Area of the Aburrá Valley, close to Medellín, the second-largest city in Colombia, and the capital of the department of Antioquia. Envigado is known for maintaining the traditions of the Paisa Region and for its architecture. It also has one of the highest standards of living in Colombia. Also, Envigado was recognized recently as one of the UNESCO Global Network of Learning Cities (UNESCO GNLC). In keeping with the tradition of the previous edition of this meeting, the IV LAWCN has four main topics: A- Computational Neuroscience B- Neuroscience C- Neuroengineering D- Artificial intelligence and related topics. See the full list of topics at https://www.lawcn.co/event/submissions.html. Prospective authors are invited to contribute to the conference by electronically submitting papers in English, Portuguese, or Spanish, according to the model found on the event website. Best papers that are related to Computer Science will be published as a book volume in Springer-Verlag Communications in Computer and Information Science (CCIS; ISSN 1865-0929) series. Also, authors can submit their papers for the Special Issue "Interdisciplinary Approaches for Human Cognition: Expanding Perspectives on the Mind" to be published in the International Journal in Psychological Research (IJPR; https://revistas.usb.edu.co/index.php/IJPR/index ISSN 2011-7922). Papers will be evaluated based on the quality and significance of the theoretical and practical contributions. The Workshop will consist mainly of the following activities. * A presentation of up to 8 key researchers of international and national renown. * A round table to widely discuss gender diversity in Neuroscience. * Oral presentations of accepted papers by their authors. * Poster session. Conference chairs * Jaime A. Riascos, Institution University of Envigado(IUE), Colombia * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Organization * Dante Barone Federal University Rio Grande do Sul (UFRGS), Brazil * Vinicius Cota Federal University São João do Rei (UFSJ), Brazil * Marta Molinas NTNU, Norway * Edwin Moncada Institution University of Envigado, Colombia * Jonier Rendón Institution University of Envigado, Colombia * Efraín Buriticá Universidad del Valle - COLNE * Pablo Reyes Pontificia Universidad Javeriana - Colne * Hernán Villota Institution University of Envigado, Colombia * Daniel Betancourt Institution University of Envigado, Colombia * Catalina Alvarado Pontificia Universidad Javeriana * Paula Herrera Universidad Tecnológica de Pereira Keynote Speakers * Prof. PhD. Norberto García Caraisco (USP, Brazil) * Prof. PhD. Salvador Dura-Bernal (SUNY, USA) * Prof. PhD. Jose Luis Contreras-Vidal (NSF IUCRC BRAIN Center, USA) * Prof. PhD. Fabien Lotte (INRIA, Francia) * Prof. PhD. Jose M. Azorin (Universidad Miguel Hernández de Elche, Spain) * Profa. PhD. Marta Molinas (NTNU, Noruega) * Profa. PhD. Catalina Alvarado (Pontificia Universidad Javeriana, Colombia) * Profa. PhD. Paula Herrera (Universidad Tecnológica de Pereira, Colombia) Roundtable * Lina Becerra, Colegio Colombiano Neurociencias (COLNE), University del Valle, University Pontificia Javeriana, Colombia Important dates. Paper submission deadline: August 1st, 2023 Notification of acceptance (paper): September 30, 2023 Camera-ready (paper): October 31, 2023, Abstract submission deadline: September 1st, 2023 Notification of acceptance (abstract): September 30, 2023 Camera-ready (abstract): October 31, 2023. Workshop: November 28-30, 2023 (IUE, Envigado, Colombia) More Information: www.lawcn.co Best regards and see you in Envigado, Colombia!!! -- Jaime A. Riascos Salas Assistant professor - IUE

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Ph.D. position in Theoretical and Applied Neuroscience - Deadline 4th of August.
by Russo, Eleonora 17 Jul '23

17 Jul '23

One Ph.D. position available within the National Ph.D. Program in “Theoretical and Applied Neuroscience”. The Ph.D. will be held in the Brain Dynamics Lab<https://www.santannapisa.it/en/institute/biorobotics/brain-dynamics-laborat…> at the Biorobotics<https://www.santannapisa.it/en/institute/biorobotics> Institute of Sant'Anna School of Advanced Studies, Pisa (Italy). Information about the call can be found here<https://www.unicam.it/bandi/2023/bando-47966-del-5-luglio-2023>. The deadline for applying to the position is the 4th of August. The project description can be found here<https://www.unicam.it/sites/default/files/bandi/2023/07/All1-Topic%20list_P…> under ‘Code 4.5’. Project title: Functional modeling of brain dynamics: investigation of cognitive functions through the lens of dynamical systems. Keywords: neural coding, neuronal manifolds, modeling, dynamical system reconstruction, RNN, statistical mechanics Host Institution: Sant'Anna School of Advanced Studies, BioRobotics Institute Reference person/supervisor: Russo Eleonora; eleonora.russo(a)santannapisa.it Research topic description: Understanding the dynamical system governing neuronal activity is crucial for unraveling how the brain performs cognitive functions. Historically, various forms of recurrent neural networks (RNNs) have been suggested as simplified models of the cortex. Recently, owing to remarkable advancements in the field of machine learning, RNNs' inherent ability to capture temporal dependencies has been leveraged to develop tools for approximating unknown dynamical systems directly by training on observed time-series data. Concurrently, improvements in electrophysiological recording techniques have enabled the simultaneous recording of hundreds of neurons in animals performing complex behavioral tasks. These parallel developments present a unique opportunity to characterize comprehensively population dynamics and parametrize the neuronal manifold, thereby constructing functional models of cognitive functions. The objective of this research project is to further refine RNN-based algorithms, tailoring them to investigate neuronal dynamics, and applying them to experimental data. Research team and environment The Ph.D. student will carry out his/her studies at the BioRobotics Institute of Sant'Anna School of Advanced Studies. The project will expose the student to a highly interdisciplinary context, in tight collaboration with theoretical and experimental neuroscientists. At the BioRobotics Institute, the research groups involved will be the Brain Dynamics Lab, the Computational Neuroengineering Lab, and the Bioelectronics and Bioengineering Area. During the second year of the Ph.D., the student might be able to spend a period abroad. Preferred Research Skills and Competences The ideal candidate has computational and programming skills (ideally, knowledge of Matlab and/or Python), a strong interest in neuroscience, and a background in physics/math/biomedical engineering. The ideal candidate must also be able to carry out his/her work in a diligent, independent, and highly collaborative manner. Best wishes, Eleonora --------------------------------------------------------------------------------------------------------------------- Eleonora Russo, Ph.D. Assistant Professor at Sant’Anna School of Advanced Studies, The BioRobotics Institute, P.za Martiri della Liberta', 33 56127 Pisa, Italy

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Multiple PhD positions in Cognitive Neuroscience at SISSA - application deadline 28 August
by Alessandro Treves 17 Jul '23

17 Jul '23

Up to 5 PhD positions in Cognitive Neuroscience are available at SISSA, Trieste, starting October 2023. 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 Department (https://phdcns.sissa.it/) hosts 7 research labs that study the neuronal bases of time and magnitude processing, visual perception, motivation and intelligence, language and reading, tactile perception and learning, and neural computation. The Department 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 28 August 2023. To learn how to apply, please visit https://phdcns.sissa.it/admission-procedure . Please contact the PhD Coordinator Mathew Diamond (diamond(a)sissa.it) and/or your prospective supervisor for more information and informal inquiries. Best wishes, Eugenio Piasini -- Eugenio Piasini International School for Advanced Studies (SISSA) Via Bonomea 265, 34136 Trieste - Italy https://people.sissa.it/~epiasini

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