May 2024 - Comp-neuro - lists.cnsorg.org

Postdoctoral Researcher position at Goettingen Campus Institute for Dynamics of Biological Networks, University of Goettingen
by von Behren, Christina 16 Dec '24

16 Dec '24

Dear Scientists, The Göttingen Campus Institute for Dynamics of Biological Networks (CIDBN)<https://www.uni-goettingen.de/de/608362.html> invites applications for a position of Postdoctoral Researcher in Computational Biophysics (all genders welcome) The position will be full-time (currently 39,8 hours/week), German pay grade 13 TV-L, starting as soon as possible. The CIDBN Department "Physics of Biological Systems", headed by Prof. Fred Wolf, offers a fixed-term contract until June 30, 2025 with the perspective of an extension commensurate with building a competitive track record at the frontier of computational biophysics and neural circuit theory. Information is processed in brain circuits through the coordinated action of large-scale circuits of neurons and synapses. Ultimately, it is the nano-scale molecular architecture of neuronal synapses that can make or break the power of neural circuit computation. Progress in a broad suite of nanoscopy techniques is currently uncovering the molecular-level design of synapses subserving functions such as working memory or sensory coding. The spatio-temporal operation of these nano-machines and the efficiency of their design, however, remain to be understood and are core research aims of the Göttingen Collaborative Research Centre (CRC) 1286 "Quantitative Synaptology"<https://www.sfb1286.de/?lang=en>. We are inviting applications from theoretical biophysicists, molecular systems biologists, or computational scientists with an ambition to pioneer computational studies of synaptic functional design. We offer a stimulating environment of theoretical neuroscientists, neural data-scientists, and cutting-edge experimentalists associated with CRC 1286. In addition, the institute provides dedicated support for high-performance computing. We are dedicated to supporting the growth of original research personalities at the frontier of computational science and neural circuit theory. The successful applicant will hold an excellent PhD in physics, applied mathematics, computer science, or equivalent, and have a strong interest in high-performance computing in neuroscience or cellular systems biology. We expect excellent analytical and coding skills, interest in working in a transdisciplinary team as well as excellence in scientific writing and reasoning. Experience in non-equilibrium statistical physics, stochastic dynamics, membrane biophysics, ion-channel and biochemical kinetics, buffered Ca-diffusion, and Ca-exocytosis coupling would be advantageous. The Göttingen Campus is a leading center of neuroscience in Europe hosting numerous internationally renowned research institutions, including the University, the University Medical Center, two life science Max Planck Institutes, the European Neuroscience Institute, the German Primate Center, and the Bernstein Center for Computational Neuroscience Göttingen. The CIDBN is a newly founded transdisciplinary institute whose mission is to foster frontier research at the border of the exact and biological sciences. The University of Göttingen is an equal opportunities employer and places particular emphasis on fostering career opportunities for women. Qualified women are therefore strongly encouraged to apply. The university has committed itself to being a family-friendly institution and supports their employees in balancing work and family life. The mission of the University is to employ a greater number of severely disabled persons. Applications from severely disabled persons with equivalent qualifications will be given preference. Please send your e-mail application in one single PDF-document, including a letter of motivation, your curriculum vitae with a list of publications, copies of your certificates and contact information of two references to cidbn(a)uni-goettingen.de<mailto:cidbn@uni-goettingen.de> (subject: Postdoc CIDBN). The position remains open until filled. Georg-August-Universität Göttingen Göttingen Campus Institute for Dynamics of Biological Networks Heinrich-Düker-Weg 12, 37073 Göttingen. If you have any questions, please contact Prof. Fred Wolf via e-mail: fred.wolf(a)ds.mpg.de<mailto:fred.wolf@ds.mpg.de>. Please note: With submission of your application, you accept the processing of your applicant data in terms of data-protection law. Further information on the legal basis and data usage is provided in the Hinweisblatt zur Datenschutzgrundverordnung (DSGVO) https://www.uni-goettingen.de/hinweisdsgvo <https://www.uni-goettingen.de/hinweisdsgvo%20> Best regards, Christina von Behren ------ Goettingen Campus Institute for Dynamics of Biological Networks Bernstein Center for Computational Neuroscience Goettingen University of Goettingen Heinrich-Dueker-Weg 12 37073 Goettingen Germany Tel.: +49-(0)551-39-26674

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Late-breaking poster abstract submission for the 32nd Annual Computational Neuroscience Meeting ends on June 15
by Rubchinsky, Leonid L 11 Dec '24

11 Dec '24

Dear Colleagues, We would like to remind that the late-breaking poster abstracts submission at CNS*2023 ends on June 15. CNS*2023, 32nd Annual Computational Neuroscience Meeting, will be in Leipzig, Germany, on July 15-19, 2023. The information about the meeting and abstract submission can be found here: Registration: https://ocns.memberclicks.net/cns-2023-registration Abstract submission: https://www.cnsorg.org/cns-2023-abstract-submission CNS*2023 information: https://www.cnsorg.org/cns-2023 With kind regards, Leonid Rubchinsky OCNS Vice President *********************** Leonid Rubchinsky, PhD Professor Department of Mathematical Sciences, Indiana University Purdue University Indianapolis Stark Neurosciences Research Institute, Indiana University School of Medicine 402 N. Blackford St Indianapolis, IN 46202-3216 lrubchin(a)iupui.edu http://www.math.iupui.edu/~lrubchin ***********************

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PhD-Researcher and Lecturer, Neurocomputation of Language, Tilburg University (1.0 fte, six years)
by Harm Brouwer 27 Sep '24

27 Sep '24

PhD-Researcher and Lecturer, Neurocomputation of Language, Department of Cognitive Science and Artificial Intelligence, Tilburg University (1.0 fte, six years) The Neurocomputation of Language (NCL) lab from the Department of Cognitive Science & Artificial Intelligence (CSAI) at Tilburg University invites applications for a 6-year position. The successful applicant for this position would spend 60% of their time as a PhD student and 40% as a lecturer. The PhD project would be determined by the successful applicant and the lab director but should employ advanced statistical modeling and/or neurocomputational modeling to address one or more of the core themes of the lab: the nature and time course of language comprehension, the neural representation and computation of meaning, and the cortical organization of the language network. The educational tasks of the candidate could include leading practical sessions, grading assignments and exams, and (eventually) supervising thesis students. Requirements * Master’s degree in (computational) cognitive (neuro)science, neurobiology of language, or a related field. If you expect to obtain your degree before August 2024, you are also eligible. * Good knowledge of statistics and machine learning (practical experience with large language models is a plus). * Excellent knowledge of English and good academic writing skills. What we offer * A full-time position. * The selected candidate will receive a contract for six years. * You will receive a temporary employment contract for the duration of 12 months. A 5-year extension is offered upon a positive assessment. After one year your UFO profile will change to PhD Candidate / Lecturer. In the second year your initial education assignment is 40% and your research assignment is 60%. * A minimum gross salary of €3226- per month up to a maximum of € 4036- in the 6th year. For the duration of 12 months, you are entitled to a allowance. The amount is the difference in salary of scale 10 level 0 and scale PR level 0. * A holiday allowance of 8% and an end-of-year bonus of 8.3% (annually). * Researchers from outside the Netherlands may qualify for a tax-free allowance equal to 30% of their taxable salary (the 30% tax regulation). The University will apply for such an allowance on their behalf. Note that the 30% rule will be scaled back from 1 January 2024. For new applications, during a five-year term, the scheme will gradually decrease to a 10% rule. More specifically, this means that during the first 20 months of the term, 30% of the salary will be reimbursed untaxed. In the next 20 months, this percentage drops to 20% and during the last 20 months, the untaxed reimbursement is 10% of the salary. * Assistance in finding accommodation (for foreign employees). * Benefits such as an options model for terms and conditions of employment and reimbursement of moving expenses, also including excellent technical infrastructure, savings schemes and excellent sports facilities. The collective labor agreement of the Dutch Universities applies. Information and application More detailed project information can be provided on request: please contact dr. Harm Brouwer (h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu>), PI of the Neurocomputation of Language lab. To apply, please submit: * a motivation letter in which you describe why you want to be considered for this position, and why you are the right person to do it; * a full curriculum vitae, demonstrating academic excellence, including publications (if applicable); academic transcripts of your Bachelor and Master’s degrees; * a sample of writing, such as your Master’s thesis or a relevant paper; * contact details of two academic referees. The only way to apply is online<https://career5.successfactors.eu/career?career%5fns=job%5flisting&company=…>. The first deadline for application is July 21, 2024, the position is open until filled. The starting date of this position is negotiable but preferably no later than October 1st, 2024. Neurocomputation of Language lab The Neurocomputational of Language (NCL) lab combines neurocomputational modeling with empirical experimentation to investigate the neural basis of language. Grounded in principles of neural information processing, and informed by empirical insights on the nature and time course of comprehension, our models aim to offer mechanistic explanations of how an interpretation is constructed in real time as spoken or written linguistic signal unfolds on a, more or less, word-by-word basis. See the lab website for more information: https://www.tilburguniversity.edu/about/schools/tshd/departments/dca/lab/ne… The department of Cognitive Science & Artificial Intelligence (CSAI) The Cognitive Science and Artificial Intelligence department (https://csai.nl/) at Tilburg University is part of the Tilburg School of Humanities and Digital Sciences. The department emphasizes innovative research spanning a wide array of fields including computational linguistics and language technology, data-science, human-robot interaction, virtual reality and serious games. CSAI is a member of the Benelux Association for Artificial Intelligence, participates in the Special Interest Group for AI (SIG AI), and also participates in the Confederation of Laboratories for Artificial Intelligence Research in Europe (CLAIRE). Tilburg University and the CSAI department offer a vibrant international environment, with current CSAI staff originating from more than 10 countries. Tilburg School of Humanities and Digital Sciences Research and education at the Tilburg School of Humanities and Digital Sciences (TSHD) has a unique focus on humans in the context of the globalizing digital society, on the development of artificial intelligence and interactive technologies, on their impact on communication, culture and society, and on moral and existential challenges that arise. The School of Humanities and Digital Sciences consists of four departments: Communication and Cognition, Cognitive Science and Artificial Intelligence, Culture Studies and Philosophy; several research institutes and a faculty office. Also the University College Tilburg is part of the School. Each year around 275 students commence a Bachelor or (Pre) Master Program. The School has approximately 2000 students and 250 employees. Tilburg School of Humanities and Digital Sciences<https://www.tilburguniversity.edu/about/schools/humanities/> Recruitment code Tilburg University applies the recruitmentcode<https://kmt.nvp-hrnetwerk.nl/download/?id=21374> of the Dutch Association for Personnel Management & Organization Development (NVP). Disclaimer The text of this vacancy advertisement is copyright-protected property of Tilburg University. Use, distribution and further disclosure of the advertisement without express permission from Tilburg University is not allowed, and this applies explicitly to use by recruitment and selection agencies which do not act directly on the instructions of Tilburg University. Responses resulting from recruitment by non-contractors of Tilburg Universities will not be handled. -- [ Dr. Harm Brouwer, Associate Professor [ Cognitive Science and Artificial Intelligence, Tilburg University [ E-mail: h.brouwer(a)tilburguniversity.edu<mailto:h.brouwer@tilburguniversity.edu> [ http://www.hbrouwer.eu/

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Python Package: SER model
by Fabrizio Damicelli 08 Aug '24

08 Aug '24

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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Save the date: UK Neural Computation meeting July 8-10th, Sheffield
by Mark Humphries 13 Jun '24

13 Jun '24

Save the date! The UK Neural Computation meeting is in Sheffield for 2024, the gathering of the UK’s computational and systems neuroscience community 8 July: ECR day 9-10 July: main meeting 11 invited speakers, 4 talks from abstracts and loads of posters Abstract submission and registration opening soon Please spread the word! More details: https://neuralcomputation.uk/ Enquiries: uknc24(a)sheffield.ac.uk<mailto:uknc24@sheffield.ac.uk> Organisers Hannes Saal (Sheffield) Stuart Wilson (Sheffield) Mark Humphries (Nottingham) This message and any attachment are intended solely for the addressee and may contain confidential information. If you have received this message in error, please contact the sender and delete the email and attachment. Any views or opinions expressed by the author of this email do not necessarily reflect the views of the University of Nottingham. Email communications with the University of Nottingham may be monitored where permitted by law.

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Post-doc position available - Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr 31 May '24

31 May '24

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields (https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational “hybrid” brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients (see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: fabrice.wendling(a)inserm.fr. https://perso.univ-rennes1.fr/fabrice.wendling

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Postdoctoral research position Rennes, France - Neuro-inspired models of recurrent epileptic seizures
by fabrice.wendling＠inserm.fr 31 May '24

31 May '24

Post-doc position offer (ref: INSERM-RECSEIZ) Neuro-inspired models of recurrent epileptic seizures for the investigation of mechanisms underlying repeated tDCS sessions Context. Epilepsy refers to a neurological disorder that affects about 1% of the general population. Recent findings indicate that non-invasive brain transcranial current stimulation (tCS) is safe and of therapeutic promise in epilepsy. However, it is not yet indicated as a standard treatment due to major scientific limitations: unknown mechanisms of action, insufficient account for patient-specific factors, poor understanding of short- and long-term effects. The ambition of the GALVANI Project (ERC-SyG 2019; 2020-26) is to transform the care of a large fraction of patients living with drug-resistant epilepsies by solving a fundamental problem: to efficiently target and control large-scale epileptic brain networks with tCS-induced neuromodulatory weak electric fields ( <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/) Rationale. The mechanisms underlying long-term effects of neuromodulation induced by weak electric fields remain poorly understood. To gain insights into these mechanisms, a new generation of experimentally-validated computational hybrid brain models is being developed in the project. These models combine neurophysiological models of neuronal networks with biophysical models of weak field effects. We recently developed a full human computational brain model able to generate realistic surface EEG and intracranial signal similar to those recorded in epileptic patients ( <https://pubmed.ncbi.nlm.nih.gov/38520800/> see Wendling et al., CLINPH, 2024). Objective. The objective of the proposed research position is to design novel neuro-inspired models able to explain why and how the repetition of tDCS sessions (over days and weeks) impacts the seizure occurrence frequency. Methods. Mesoscale (neuronal population level) computational models allowing for the simulation of a single epileptic seizure will be used. They will be extended to account for the recurrence of seizures, as observed in human focal epilepsies. Then, tCS-induced weak electric fields will be integrated into the models and their cumulative effects on seizure occurrence will be studied, explaining why some patients respond to multi-sessions of tDCS while others do not. Models will use the Neural Mass Model (NMM) formalism. They will be developed in Python. They will extend models developed in the lab. Strong background is available. Scientific domains. Engineering (computational, biomedical); Physics (biophysics, electromagnetism); neuroscience; Medicine (neurology); Computer Science (computing in maths, engineering and Medicine) Scientific environment. GALVANI involves three partners: LTSI-Inserm (Rennes), AMU-APHM (Marseille) and Neuroelectrics (Barcelona). It is intended to develop the next generation of brain stimulation solutions. GALVANI can be viewed as a distributed lab (Rennes-Barcelona-Marseille) working under a common policy to ensure coherence of research and intense collaboration and cross-fertilization. Fellows will be co-supervised in a unique, shared environment with exposure to science, technology and clinical experience. Candidate profile. The research project is at the interface between biomathematics (neuro-inspired models), biophysics (electric field models), and neuroscience/neurology (epilepsy). The Post-doc fellow (PhD+experience) will preferably have a strong background in computational neuroscience/systems biology or in electrical engineering with experience in bio-signal processing. Knowledge in electrophysiology and/or EEG analysis would be an asset. The post-doc fellow will join a multidisciplinary team including research scientists in biomedical engineering, neurophysiological modeling, bio-physics, signal processing, electrophysiology, neurology. Contract The position will be opened Sep. 1st, 2024. The contract is for 2 years with possible extension (1 year). The competitive salary will be according to experience (2600 Euros net, minimum). The candidate will also have access to the French system benefits. Location in the city of Rennes, France. LTSI-Inserm laboratory, University of Rennes. In addition, the post-doc fellow will have the opportunity to perform visits and to actively collaborate with engineers, researchers and clinicians of the Marseille & Barcelona groups. Contact (please provide resume, cover letter and 2 reference letters) Fabrice Wendling (DR Inserm, LTSI, France) Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr. <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling --- Fabrice WENDLING DR Inserm LTSI, Inserm UMR1099 - Université de Rennes Co-directeur équipe Cinetyks Campus de Beaulieu - Bât. 22 35042 Rennes Cedex - France - Tel: +33 2 23 23 56 05 / 62 20 - +33 6 58 25 75 30 Email: <mailto:fabrice.wendling@inserm.fr> fabrice.wendling(a)inserm.fr <https://www.ltsi.univ-rennes1.fr/> https://www.ltsi.univ-rennes1.fr/ <https://perso.univ-rennes1.fr/fabrice.wendling> https://perso.univ-rennes1.fr/fabrice.wendling <https://www.galvani-lab.eu/> https://www.galvani-lab.eu/

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Postdoctoral Research Position - University of Las Palmas de Gran Canaria, Spain
by Carmen Paz Suárez Araujo 30 May '24

30 May '24

Postdoctoral Research Position Institute: Institute of Cybernetic, Enterprise and Society (IUCES). University of Las Palmas de Gran Canaria (ULPGC) City: Las Palmas de Gran Canari, Canary Islands, Spain Closing Date: 7 June 2024 Dear Colleagues, The Research Division of Computational Neuroscience (COMCIENCIA) belonging to the IUCES has a PostDoc position in one of our Projects. We are recruiting a team of outstanding researchers from Artificial Neural Networks, Computational Neuroscience, Clinical Decision Support Systems using Intelligent Computing and AI/ML, to work with us on achieving the project’s ambitious objectives. The main tasks will be concerning: - Development and supervision of research in the area of "Artificial and Biological Neural Networks: Design of New Architectures". - Supervision and development of research in the field of Intelligent Computing Systems and their application for Designing and Developing Clinical Decision Support Systems for diagnosis and prognosis of neurocognitive pathologies associated with aging (dementias), infectious diseases (COVID) necessarily adjusted to the project in which he/she is hired. - Scientific dissemination of the research developed. For further information and to apply, please see: https://euraxess.ec.europa.eu/jobs/240289 If you've any question, please you don't hesitate to contact with Prof. Carmen Paz Suárez Araujo Best Regards Carmen Paz Suárez Araujo Catedrática de Universidad/Full Professor. Directora de la División de Investigación de Neurociencia Computacional. Directora de la Catedra de Neurociencia Computacional, Marie Curie Instituto de Cibernética, Empresa y Sociedad (IUCES) Universidad de Las Palmas de Gran Canaria tel. +34928458725; +34629822298 carmenpaz.suarez(a)ulpgc.es www.ulpgc.es ORCID 0000-0002-8826-0899 EDIFICIO DE INFORMÁTICA, OFFICE 2-5 CAMPUS UNIVERSITARIO DE TAFIRA S/N 35017, LAS PALMAS DE GC [Universidad de Las Palmas de Gran Canaria]

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Postdoc + PhD positions in ERC funded project ACTOR
by Constantin Rothkopf 30 May '24

30 May '24

The lab of Constantin Rothkopf (https://www.pip.tu-darmstadt.de/) at the Centre for Cognitive Science @ TU Darmstadt is looking for PhD and Postdoc applicants interested in becoming part of the ERC project ACTOR. While some positions are focused on human behavioral experiments others are more focused on computational work. The goal of this project is to use both human behavioral experiments and computational modeling to understand human sequential behavior in tasks including continuous psychophysics, visual behaviors such as gaze selection and blinking, sensorimotor control involving intuitive physics, navigation, and food preparation in the framework of sequential decision making/planning/optimal control/RL. Our group is part of the Centre for Cognitive Science and the AI Center at TU Darmstadt, which are home to an internationally outstanding group of PIs and junior researchers working in the areas of computational cognitive science, machine learning, and artificial intelligence. We are part of several research consortia and engage in multiple fruitful research collaborations. The lab has state of the art equipment for eye and body tracking, VR, naturalistic task monitoring, psychophysics and access to one of the most generous computing infrastructures in Germany. We foster an inclusive, supportive, and collaborative environment driven by scientific curiosity and mutual respect and we maintain close interactions with other research groups including joint lab meetings. While some of the positions are geared towards more behavioral work others are strongly focused on computational modeling. Applicants may therefore have a background in computer science, cognitive science, neuroscience, psychology, engineering, or related fields. Don’t hesitate to contact me for more details. Please send the official application to the dean of the department of human sciences dekanat(a)humanw.tu-darmstadt.de including a CV, a two page cover letter explaining your research interests, motivation, and your long-term career goals, and contact information for 2-3 references in a single pdf file. The code for the PhD position is “167” and for the Postdoc position “168”. Applications will be reviewed on a continuing basis. The Frankfurt-Darmstadt metropolitan area is located in the heart of Europe and is one of the most international regions in Germany with a diverse community and rich culture repeatedly earning high rankings in worldwide surveys of quality of living. Frankfurt recently reached 7th place worldwide in a ranking of attractiveness by the Economist and Darmstadt has repeatedly ranked among the top innovation driving cities in Germany. Finally, to get a better idea about some of our work, here some publications by our group: - Tatai, F., Straub, D., Rothkopf, C. A. (2023). People use Newtonian physics in intuitive sensorimotor decisions under risk. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt0rg3z8f6/qt0rg3z8f6_noSplash_c1cad85c077… - Kadner, F., Willkomm, H., Ibs, I., & Rothkopf, C. (2023). Finding your Way Out: Planning Strategies in Human Maze-Solving Behavior. In Proceedings of the Annual Meeting of the Cognitive Science Society (Vol. 45, No. 45). https://escholarship.org/content/qt94t1t8kw/qt94t1t8kw_noSplash_3a5e798a923… - Kessler, F., Frankenstein, J., Rothkopf, C. A. A dynamic Bayesian actor model explains endpoint variability in homing tasks, bioRxiv, 2022. https://www.biorxiv.org/content/10.1101/2022.11.09.515854v1 - Straub, D., & Rothkopf, C. A. (2022). Putting perception into action with inverse optimal control for continuous psychophysics, eLife 11, e76635. https://elifesciences.org/articles/76635 - Schultheis, M., Straub, D., & Rothkopf, C. A. (2021). Inverse optimal control adapted to the noise characteristics of the human sensorimotor system. Advances in Neural Information Processing Systems, 34, 9429-9442. https://proceedings.neurips.cc/paper/2021/hash/4e55139e019a58e0084f194f758f… - Neupärtl, N., Tatai, F., & Rothkopf, C. A. (2020). Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics. PLoS computational biology, 16(10), e1007730. https://doi.org/10.1371/journal.pcbi.1007730 - Hoppe, D., & Rothkopf, C. A. (2019). Multi-step planning of eye movements in visual search. Scientific reports, 9(1), 1-12. https://doi.org/10.1038/s41598-018-37536-0 - Hoppe, D., & Rothkopf, C. A. (2016). Learning rational temporal eye movement strategies. Proceedings of the National Academy of Sciences, 113(29), 8332-8337. https://doi.org/10.1073/pnas.1601305113 All the best, Constantin Rothkopf https://www.pip.tu-darmstadt.de/ http://www.cogsci.tu-darmstadt.de/ https://hessian.ai/

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Postdoctoral Research Fellow - University of Stirling, UK
by Elena Gheorghiu 30 May '24

30 May '24

Postdoctoral Research Fellow Department: Psychology, University of Stirling, Scotland, United Kingdom Closing Date: 10 June 2024 Duration: fixed term 27 months Salary: Grade 7 (£37,099 - £44,263 p.a.) A cross-disciplinary team of researchers from the Universities of Stirling, York, Cardiff, Manchester, and Southampton are working together on an EPSRC-funded project, Edgy Organism, to develop a novel end-to-end neuromorphic design approach drawing inspiration from how data is processed and represented in the brain and build an efficient hardware architecture based on spiking neural networks. The project aims to develop novel computing solutions, that can autonomously and reliably detect illegal or harmful activities in crowded public spaces, with minimum intrusion of personal space and privacy. We are recruiting a team of outstanding researchers from Visual Neuroscience, Psychology, Edge Computing, AI/ML, and Neuromorphic Engineering, to work with us on achieving Edgy Organism project’s ambitious objectives. As part of this project, Psychology, Faculty of Natural Sciences, University of Stirling is offering a fixed term (27 months) full-time Postdoctoral Research Fellow position to work with Dr Elena Gheorghiu and the cross-disciplinary team of researchers. Candidates should have a PhD, or equivalent research experience, in Computer Vision/ Computer Science, Visual Neuroscience, Psychology, Physics, Electronic Engineering, Mathematics, or similar technical area and possess specialist knowledge in computer vision/ image processing/ object detection and tracking, and machine learning to work with established software/ research programmes. For further information and to apply, please see: https://www.stir.ac.uk/about/work-at-stirling/list/details/?jobId=4051&jobT… Informal enquiries can be made to Dr Elena Gheorghiu, elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> --------------------------------------------------------- Dr Elena Gheorghiu University of Stirling, Faculty of Natural Sciences Department of Psychology, Cottrell building Stirling, FK9 4LA, Scotland, UK Tel: +44 (0) 1786 467649 email: elena.gheorghiu(a)stir.ac.uk<mailto:elena.gheorghiu@stir.ac.uk> https://www.stir.ac.uk/people/257378 ________________________________ Scotland’s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

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Postdoctoral position on modelling C. elegans for OpenWorm project at University College London
by Padraig Gleeson 30 May '24

30 May '24

- Apologies for cross postings - Applications are open now for a 3 year postdoctoral position (Research Fellow / Senior Research Fellow) at University College London in the lab of Padraig Gleeson (https://openneuroai.org) The successful applicant will contribute to the goals of the OpenWorm project, to create a cell by cell model of the nematode C. elegans incorporating its full neuronal network and a 3D body/environment simulation (https://openworm.org) The role will involve contributing to existing and creating new software packages which facilitate the goals of the OpenWorm project. It will also involve carrying out research into the physiology, anatomy and behaviour of C. elegans, to ensure the simulations are biologically realistic. Code will be open source from the start and active interaction with the community of researchers in this area will be required. The ideal candidate will have a PhD in neuroscience or a related field, and experience in developing open source tools for investigating (neuro)biological function, a publication record demonstrating the use of such tools in original scientific research, and an active interest in making their research accessible to the wider community. For appointment to Grade 8 (Senior Research Fellow), the candidate will have substantial postdoctoral experience, a strong publication track record in this area, evidence of the ability to sustain independent research, and an established reputation in their field as a proponent of open science. UCL is Europe's research powerhouse in neuroscience, with more than twice as many publications and citations as any other European institution, based right in the heart of London. It is one of the best international environments to carry out neuroscience research. Please contact p.gleeson(a)ucl.ac.uk for more details or questions related to the role. The position is funded for 3 years as part of an EPSRC Open Fellowship grant. The closing date for applications is 19th June 2024. Apply here <https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs/details?jobId=23333>, including a cover letter stating why you are the ideal candidate for the role. ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology & Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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Information theory workshop at CNS*2024 -- call for contributed talks
by Joseph Lizier 30 May '24

30 May '24

Dear all, We are pleased to announce that the Workshop on Methods of Information Theory in Computational Neuroscience<https://bit.ly/cns2024itw> will be held once again at the 33rd Annual Computational Neuroscience Meeting (CNS*2024<https://www.cnsorg.org/cns-2024> conference), in Natal, Brazil. The workshop will be held during sessions over the final day of the main conference, July 24, 2024. Our confirmed speakers so far include the following: * Patricio Orio, University of Valparaíso, Chile * Marilyn Gatica, Northeastern University London, UK * ... more TBA! We would like to call for contributions<https://bit.ly/cns2024itw> of talks. If you are interested in contributing a talk, please send a title and abstract to Marilyn Gatica (marilyn.gatica(a)nulondon.ac.uk<mailto:marilyn.gatica@nulondon.ac.uk>) and Joseph Lizier (joseph.lizier(a)sydney.edu.au<mailto:joseph.lizier@sydney.edu.au>). Earlier submissions and those from female/minority speakers will be prioritised. Please pay attention to the registration for CNS*2024 (deadlines and fees) as workshop registration at least is required for attendance, and see our website https://bit.ly/cns2024itw for more details. We hope you will join us there! Organising Committee: Marilyn Gatica (chair) Joseph Lizier (co-chair) Abdullah Makkeh Michael Wibral Pedro Mediano

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Open PhD position - Brain-inspired computing and Spiking Neural Networks
by Robert Legenstein 28 May '24

28 May '24

The Lab of Robert Legenstein at Graz University of Technology (Austria) https://www.tugraz.at/institute/igi/people/prof-legenstein/ is offering a funded PhD position (Univ. Assistant) in the areas Spiking Neural Networks/Machine Learning/Brain Models/Neuromorphic Hardware. A background in Machine Learning, Computer Science, or Mathematics is desirable, as well as evidence for excellent prior performance as a student. For details and application portal, see https://jobs.tugraz.at/en/jobs/c979f4bb-8292-a539-ff62-6627a4de2995 -- Dr. Robert Legenstein Univ.-Professor Institute of Theoretical Computer Science Graz University of Technology Inffeldgasse 16b/I, 8010 Graz, Austria http://www.igi.tugraz.at/legi/ Follow @CompLegenstein on Twitter. ++43/316/873-5824 ----------------------------------

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The Basque ASTROTECH Computational Neuroscience Meeting (Bilbao, June 4-6, 2024)
by De Pitta, Maurizio 28 May '24

28 May '24

Dear Colleagues, Please share and disseminate among your networks. We are happy to announce the Basque ASTROTECH Computational Neuroscience Meeting, which will be held June 4–6, 2024, at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain. The Basque ASTROTECH Computational Neuroscience Meeting presents state-of-the-art neural and glial data analysis and modeling research by leading neurotech researchers based in the Basque Country (Spain). The Basque ASTROTECH Computational Neuroscience Meeting is sponsored by the H2020 ASTROTECH European Training Network and is an excellent opportunity for young researchers and professionals in the Basque Country, Spain, and internationally to learn about some of the latest advancements in neuron-glial paradigms of brain function at the interface of computational neuroscience, machine learning, and neurotech. Attendance at the meeting is free, but pre-registration is required due to limited seating. For more information: Meeting Website: https://sites.google.com/view/basque-astrotech-cns-workshop Registration Website: https://www.bcamath.org/events/ba-cnm-astrotech/en/registration/ I look forward to meeting you in Bilbao in June. Maurizio De Pitta /////////////////////////////////////////////////////////////////////////////////////////////// The Basque ASTROTECH Computational Neuroscience Meeting Basque Center for Applied Mathematics (BCAM), Bilbao, Spain June 4–6, 2024. /////////////////////////////////////////////////////////////////////////////////////////////// ***************** Day 1 (June 4, 2024) ***************** MORNING SYMPOSIUM: Applied And Functional ModellingMultiscale functional and structural brain networks in health and disease Jesus Cortes (BioCruces Hospital Clinic) Multiscale functional and structural brain networks in health and disease Craig Richter (BCBL–Basque Center On Cognition, Brain and Language) Discovering functional networks using coupled cortical oscillations Paolo Bonifazi (BioCruces Hospital Clinic) Linking hubs, embryonic neurogenesis, transcriptomic, and diseases in human brain networks Maurizio De Pitta (BCAM–Basque Center for Applied Mathematics and the Krembil Research Institute) Neuron-Glial Circuits Across the Cognitive Spectrum AFTERNOON LAB. Modeling Neuron-Glial Interactions: From Tripartite-Synapses to Neuron-Glial Networks. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 2 (June 5, 2024) ***************** MORNING SYMPOSIUM: The Attractor Framework in Computational Neuroscience. Miguel Aguilera (BCAM) Nonequilibrium associative memories in neuroscience and machine learning Daniele De Martino (Biofizika Institute) Feedback Ising models neural networks dynamics Dmitry Sinelshchikov (Biofizika Institute and CSIC-UPV/EHU) Nonlinear dynamics in small groups of Hindmarsh-Rose neurons Gorka Zamora-Lopez, Pompeu Fabra University (UPF) Emergence of modular and hierarchical neural networks driven by learning of external stimuli AFTERNOON LAB. Glial Functional Readouts: Hodgkin-Huxley models and their extension to Glial Calcium Modeling. Curator: Maurizio De Pitta (BCAM/Krembil) ***************** Day 3 (June 6, 2024) ***************** MORNING SYMPOSIUM. Multi-scale Tools to Model the Brain Romina Baila (CODEMART) The Virtual Brain /1: Architectural view over a modeling tool for full brain simulation The Virtual Brain /2: How to Harness The Virtual Brain Capability Christophe Bernard (INSERM and Aix-Marseille University) Digital twin technology to better understand and treat the brain Ignacio Arganda-Carreras (University of the Basque Country, DIPC, and Biofisika Institute) BiaPy: Bioimage analysis workflow for all audiences AFTERNOON LAB. Physics of the Neuron-Glia-Vascular Tissue. Curator: Michelangelo Volpi (BCAM) ----- Maurizio DE PITTA Principal Investigator Neuron-Glia Interactions Lab (NGILab) Krembil Research Institute, 4KD-509 60 Leonard Ave, Toronto, ON M5T 0S8, CA +1.416.603.5800 ext. 3290 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. 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Fwd: Fully funded PhD position in Computational Neuroscience at TU Graz, Austria
by Kerstin Lenk 24 May '24

24 May '24

Hello, We have a *fully funded PhD position in Computational Neuroscience at TU Graz*, Austria, available. The project is in collaboration with the University of Regensburg, Germany. *Period:* October 1st, 2024 – September 30th, 2027 (3 years) *Supervisor: *Kerstin Lenk, Institute of Neural Engineering, TU Graz, Austria *Keywords: **Astrocytes; Blood-Brain Barrier; Endothelial Cells; Major Depressive Disorder; Computational Modeling* *Team:* The Computational Neuroscience lab led by Dr. Kerstin Lenk in the Institute of Neural Engineering ( https://www.tugraz.at/institute/ine/research/team-lenk) at Graz University of Technology (TU Graz) is looking for a creative and enthusiastic PhD student to join the lab! Our research is focused on the computational neuroscience of astrocytes. Broadly, we study how astrocytes interact with neurons and other glial cells. We are looking for a PhD student who is interested in developing a computational model of the BBB in the following project: *Project Description:* Interactions among astrocytes and endothelial cells (EC) forming blood vessels are essential to building a properly functional blood-brain barrier (BBB). Astrocyte-specific signaling molecules modulate tight junctions (TJ) between EC, thereby controlling BBB sealing properties and, thus, the transendothelial blood-brain trafficking of various substances. Any disruption in these events may lead to the onset of brain disorders. Indeed, an impaired morphology of astrocytes and reduced TJ protein expression characterizes the leaky BBB in postmortem brains of major depressive disorder (MDD) patients. Epidemiological data also revealed sex differences in MDD prevalence, with women twice as affected as men. Intriguingly, the disruption of the BBB in female mice induces depression-like behaviors. Thus, there is a high need to investigate sex-dependent cellular and molecular mechanisms that link a leaky BBB with the etiopathogenesis of MDD to identify alternative disease trajectories, which might be targeted by personalized treatments. The project includes experimental and theoretical work, which is highly interconnected, and we will gain much more insights by combining *in vitro*, *in vivo,* and *in silico* studies. The project is funded by FWF (Austrian Science Fund) under the scheme “Weave” (International Projects) and is in collaboration with Dr. Barbara Di Benedetto at the University of Regensburg, Germany. *Candidate:* The candidate should be willing to work on a multidisciplinary project that combines computational modeling and *in vitro*/ *in vivo* experiments in neurosciences. They should have a good level of English, very good mathematical and programming skills, and an interest in neurobiology. *Application*: Please send your application to *kerstin.lenk(a)tugraz.at <kerstin.lenk(a)tugraz.at>* as a single PDF file, including a CV and the contact details of two academic references, *before July 6th, 2024*. Informal inquiries are welcome. -- Ass. Prof. Dr. rer. nat. Kerstin Lenk (she/her) Institute of Neural Engineering Graz University of Technology Stremayrgasse 16/4 8010 Graz Tel.: +43-316-873-30712https://www.tugraz.at/institute/ine/research/team-lenk/ twitter@astrocytenet

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PhD position in neonatal neuroimaging
by Manuel Blesa Cábez 24 May '24

24 May '24

We have a 3’5 years PhD position at the University of Edinburgh in neonatal neuroimaging! The project will investigate the relationship between the neonatal structural connectome and the immune dysregulation in preterm infants. For full details: Elucidating the relationship between the neonatal cerebral connectome and immune dysregulation in preterm infants at University of Edinburgh on FindAPhD.com <https://www.findaphd.com/phds/project/elucidating-the-relationship-between-…> The project will be supervised by Prof James Boardman, Dr Manuel Blesa Cábez (myself) and Prof Riccardo Marioni. The University of Edinburgh is one of the world’s top universities, consistently ranked in the world top 50 and placed 22nd in the 2024 QS World University Rankings. It has an international reputation for innovative research across a wide range of disciplines. The salary is £19,237 per year and the application is open worldwide. Closing date 6 of June! For any informal queries, please don’t hesitate to contact me: manuel.blesa(a)ed.ac.uk

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Postdoc/student workshop at Washington University in St Louis
by Goodhill, Geoffrey 24 May '24

24 May '24

Opportunity for postdocs and senior graduate students! The recently established Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) at Washington University in St. Louis invites applications from postdocs and senior graduate students, who are using primarily theoretical and computational techniques to study the principles of brain organization and function, for its second Computational Neuroscience Next Generation symposium, September 16-17th 2024: https://ctcn.wustl.edu/next-gen-symposium The CTCN will pay travel expenses for successful applicants. Participants will engage with researchers at CTCN-participating departments over two days, including: - Presenting their work during the symposium, which will also feature leading WashU neuroscientists. - One-on-one meetings with faculty. - Informal discussions with the Washington University computational and theoretical neuroscience community. Being selected as a Next Generation Symposium speaker is an exciting opportunity s to share your research with Washington University computational neuroscientists, to receive feedback, to explore postdoctoral opportunities including CTCN postdoctoral fellowships (https://ctcn.wustl.edu/postdoc-fellows) and to form professional and intellectual relationships with peers, mentors and potential future collaborators. The application form is available at https://ctcn.wustl.edu/next-gen-symposium. The application deadline is June 15th. Professor Geoffrey J Goodhill Departments of Developmental Biology and Neuroscience Director, Center for Theoretical and Computational Neuroscience (ctcn.wustl.edu) Affiliate appointments: Physics, Biomedical Engineering, Computer Science and Engineering, and Electrical and Systems Engineering Washington University School of Medicine 4370 Duncan Ave. St Louis, MO 63110 g.goodhill(a)wustl.edu https://neuroscience.wustl.edu/people/geoffrey-goodhill-phd

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[Jobs] [Deadline Approaching] Available Ph.D. Position at the intersection of AI / Psychology / Human-Robot Interaction
by Amir Aly 23 May '24

23 May '24

Dear All *Apologies for cross-posting* We are pleased to announce an opportunity for a funded PhD studentship (*Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health*) at Plymouth University, UK. The closing date for applications is *29**th May 2024 (**midnight, UK time) **(**The difference in tuition fees between national and international students will be waived for excellent international candidates**)*. Join our interdisciplinary team to shape the future of mental health care. *AI models like ChatGPT* fundamentally change the landscape for the automated delivery of psychological interventions. These models will likely make it possible to deliver *psychologically-informed treatment* at scale, meeting a substantial unmet need for these services. This project will develop datasets and software to deliver *Functional Imagery Training (FIT)* via mobile devices and, ultimately, via *embodied agents (robots)*. As a person-centred intervention, FIT presents an interesting challenge: the practitioner or AI must tailor responses to the content of what the 'client' says, and guide mental imagery exercises based on that personal content. By building an interdisciplinary team of psychologists and machine learning experts this project will deliver real-world impact with broad implications for mental healthcare. More details *about the topic *and *how to apply* are available at: https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu… <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health at University of Plymouth <https://www.jobs.ac.uk/job/DHA540/phd-studentship-fit-for-all-delivering-fu…> jobs.ac.uk are now advertising a PhD Studentship: FIT for All: Delivering Functional Imagery Training via Generative AI To Improve Access to Effective Psychological Interventions for Health. Discover exciting PhD opportunities on jobs.ac.uk. www.jobs.ac.uk If you have any questions, please don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK ------------------------------ <http://www.plymouth.ac.uk/worldclass>

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Mentors Needed for Neuromatch Academy!
by Courtney Dean 22 May '24

22 May '24

Hello! *I invite you to join Neuromatch Academy as a mentor for our online academies in July! *We have outstanding students from over 100 countries, many of whom lack career connections. If you are passionate about nurturing talent in neuroscience or artificial intelligence, please apply here. We are accepting applicants on a rolling basis. *As a mentor, you will provide advice to students about their academic and professional journeys with just one hour per week.* There is no prior preparation required. Here is what you will do: - Mentor a small group of students matched with your expertise and preferences. - Discuss professional development topics of your preference, such as PhD applications, work-life balance, and careers in academia/industry. - Guide students by sharing your experiences and discussing their questions during sessions, which will occur once a week during the course. We offer three dynamic courses: - Computational Neuroscience <https://neuromatch.io/computational-neuroscience-course/> (July 8-26) - Deep Learning <https://neuromatch.io/deep-learning-course/> (July 8-26) - NeuroAI <https://neuromatch.io/neuroai-course/> (July 15-26) -- *we are especially in need of mentors for this course! * Choose a course aligned with your expertise and interests, and we will match you with students eager to explore that field alongside you. Your commitment can shape the future of these fields. Join us in empowering the next generation of scientists! *To sign up and for more information please visit our mentorship program* *webpage:* https://neuromatch.io/mentoring/ If you have any additional questions, please reach out to mentors(a)neuromatch.io. Best, Avisha & Angelo Co-chairs Professional Development | Neuromatch -- *Courtney Dean (she, her) * Project Manager Schedule a meeting with me! <https://calendly.com/courtney-s-dean> c. 720.371.6559

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Bernstein Conference 2024 - Deadline approaching for contributed talk abstract submission
by Alexander Lammers 22 May '24

22 May '24

Call for Abstracts for the Bernstein Conference 2024 in Frankfurt am Main +++ The Bernstein Network Computational Neuroscience invites proposals for contributed talks and poster presentations of the Bernstein Conference 2024 in Frankfurt am Main. +++ ____ Each year the Bernstein Network invites the international computational neuroscience community to the annual Bernstein Conference for intensive scientific exchange. It has established itself as one of the most renowned conferences worldwide in this field, attracting students, postdocs, and PIs from around the world to meet and discuss new scientific discoveries. www.bernstein-conference.de<http://www.bernstein-conference.de> ____ IMPORTANT DATES * Deadline for contributed talk abstract submission: June 5, 2024, 15:00 CEST * Deadline for travel grant applications: June 12, 2024, 15:00 CEST * Deadline for poster abstract submission: July 10, 2024, 15:00 CEST * Bernstein Conference: September 29 – October 2, 2024 ____ ABSTRACTS We invite the computational neuroscience community to submit their abstracts: Submitted abstracts can either be considered as contributed talks or posters. All accepted abstracts will be published online and will be citable via Digital Object Identifiers (DOI). Further information can be found here: https://bernstein-network.de/bernstein-conference/abstract-submission/ ____ TRAVEL GRANTS To support the participation of young researchers at the Bernstein Conference, the Bernstein Network offers up to 10 Travel Grants, each endowed with 500 €. Further information can be found here: https://bernstein-network.de/bernstein-conference/early-career-scientists/t… ____ INVITED SPEAKERS Dmitriy Aronov (Columbia University, USA) Helen Barron (University of Oxford, UK) Elizabeth Buffalo (University of Washington, USA) Alex Cayco Gajic (Ecole Normale Supérieure, France) Jan Drugowitsch (Harvard University, USA) Jakob Macke (University of Tübingen, Germany) Tirin Moore (Stanford University, USA) Mala Murthy (Princeton University, USA) Memming Park (Champalimaud Foundation, Portugal) Susanne Schreiber (Humboldt Universität zu Berlin, Germany) Xiao-Jing Wang (New York University, USA) ____ CONFERENCE COMMITTEE Matthias Kaschube (Conference Chair) Srdjan Ostojic (Program Chair) Tatiana Engel (Program Vice Chair) Maria Eckstein (Workshop Chair) Wiktor Młynarski (Workshop Vice Chair) & Athena Akrami, Mehrdad Jazayeri, Jennifer Li, Scott Linderman, Ashok Litwin-Kumar, Ida Momennejad, Christina Savin, Andrew Saxe, Daniela Vallentin, Friedemann Zenke. ____ For any further questions, please contact: bernstein.conference(a)fz-juelich.de<mailto:bernstein.conference@fz-juelich.de> ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Jülich GmbH 52425 Jülich Sitz der Gesellschaft: Jülich Eingetragen im Handelsregister des Amtsgerichts Düren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Stefan Müller Geschäftsführung: Prof. Dr. Astrid Lambrecht (Vorsitzende), Karsten Beneke (stellv. Vorsitzender), Dr. Ir. Pieter Jansens ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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PhD in computational neurosciences at CerCo (CNRS UMR 5549, Toulouse France)
by MASQUELIER Timothee 22 May '24

22 May '24

Fully funded PhD fellowship in computational neurosciences at the CerCo laboratory (CNRS UMR 5549, Toulouse France) and in collaboration with the IPAL laboratory (IRL 2955, Singapore) Benoit Cottereau / Timothée Masquelier Starting date: Second semester of 2024 Supervisors: Benoit Cottereau, research director at CNRS (CerCo & IPAL, contact: benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr>) and Timothée Masquelier, research director at CNRS (CerCo, contact: timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>) Keywords: Vision, Computational neurosciences, Artificial intelligence (AI), Spiking neural networks, Event-based cameras, Neuro-ophthalmology. A fully funded PhD fellowships is available to work at the CNRS (Cerco laboratory in Toulouse and also IPAL in Singapore) under the supervision of Benoit Cottereau (CNRS research director) and Timothée Masquelier (CNRS research director). The aim of the project is to develop computational models that explain how the visual system evolves following the onset of pathologies associated with visual field deficits (e.g., in patients with macular degeneration or retinis pigmentosa). We will be specifically interested in the neuroplasticity mechanisms that may underly the visual rehabilitations observed in some animal models of these pathologies (see e.g., Shao et al., 2014; Burnat et al., 2017). It will be realized using spiking neural networks trained with data collected by event-based cameras from partially occluded visual scenes (see e.g., Moore et al., 2021). The outputs of the networks after training will be compared to those observed in neural recordings and/or in behavioural experiments realized in patients (the CerCo has a privileged connection with the Retina Center of the Purpan hospital in Toulouse). The candidates should be willing to work in a multidisciplinary environment which combines AI, neurosciences and ophthalmology, have a good level in English, very good mathematical and programming skills and be interested in neurobiology. Some knowledge in neurosciences/ cognitive sciences would be a plus. The research will mainly take place in Toulouse, a student city (Toulouse is the second university hub in France) with high quality of life located in the south west of France (close to the Pyrenees, the Mediterranean Sea and the Spanish border). Stays in Singapore (a multicultural and attractive city of south-east Asia) are also planned. The position will be fully funded during the three years of the PhD, with standard French salaries. Applications should be sent to benoit.cottereau(a)cnrs.fr <mailto:benoit.cottereau@cnrs.fr> and timothee.masquelier(a)cnrs.fr <mailto:timothee.masquelier@cnrs.fr>, including a CV and 2 names of references. References: - Burnat, K., Hu, T. T., Kossut, M., Eysel, U. T., & Arckens, L. (2017). Plasticity beyond V1: reinforcement of motion perception upon binocular central retinal lesions in adulthood. Journal of Neuroscience, 37(37), 8989-8999. - Moore, J. A., Tuladhar, A., Ismail, Z., Mouches, P., Wilms, M., & Forkert, N. D. (2023). Dementia in Convolutional Neural Networks: Using Deep Learning Models to Simulate Neurodegeneration of the Visual System. Neuroinformatics, 21(1), 45-55. - Shao, Y., Keliris, G. A., Papanikolaou, A., Fischer, M. D., Zobor, D., Jägle, H., ... & Smirnakis, S. M. (2013). Visual cortex organisation in a macaque monkey with macular degeneration. European journal of neuroscience, 38(10), 3456-3464.

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World wide VVTNS series: Wednesday, May 22 at 11am (EDT), Yu Hu Hong Kong University of Science and Technology | How random connections and motifs shape the covariance spectrum of recurrent network dynamics
by David Hansel 19 May '24

19 May '24

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Yu Hu Hong Kong University of Science and Technology on the topic of "How random connections and motifs shape the covariance spectrum of recurrent network dynamics*"* The lecture will be held on zoom on *May 22, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Theoretical neuroscience aims to understand the relationship between neuron dynamics and connectivity in recurrent circuits. This has been intensively studied at the local level, where dynamics is described by pairwise correlations. Recent advances in simultaneous recordings of many neurons have allowed researchers to address the question at the global level, such as for the dimensionality of population dynamics. Our work contributes to this effort by analyzing the impact of connectivity statistics, including certain motifs, on the bulk and outlier covariance eigenvalues. By considering linearized dynamics around a steady state, we obtained analytically the covariance spectrum which exhibits a signature long tail robust to model variants and matches zebrafish calcium imaging data. This provides a local circuit mechanism for shaping the geometry of population dynamics and a quantitative benchmark for interpreting data. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 *CONFIDENTIALITY AND PRIVACY NOTICE:* *This message and the documents that might be attached, are addressed exclusively to their(s) recipient(s) and may contain privileged or confidential information. The access to this information by people other than those designated is not authorized. If you are not the indicated recipient, you are notified that the use, disclosure and / or copying without authorization is prohibited under current legislation. If you have received this message in error, please kindly inform the sender immediately and proceed to its destruction.* ᐧ

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Last seats left @ 7th Advanced Course on Data Science & Machine Learning - ACDL 2024 - From Deep Learning to Generative AI | June 10-14 | Riva del Sole Resort & SPA - Italy -> Early Registration: by 23 May
by ICAS Organizing Committee 18 May '24

18 May '24

* Apologies for multiple copies. Please forward to anybody who might be interested, thanks * * Last seats left, hurry up and register! * There are still some spots available on the Advanced Course on Generative AI - ACDL 2024. To participate your registration fee has to be received by *23 May* so please register asap! See you in Tuscany in June! https://acdl2024.icas.events #ACDL2024, An Interdisciplinary Course: From Deep Learning to Generative AI ACDL 2024 is a full-immersion 5-day course in Tuscany on cutting-edge advances in AI, Deep Learning, LLMs, Data Sc. & Generative AI with lectures delivered by world-renowned experts. If you want to learn NLP, Generative AI Transformers, Diffusion Models, Large language models, Vision - Large-scale vision models, Vision and language, Beyond vision and language, Multimodal Foundation Models and much more then take part in ACDL 2024! ;-) Riva del Sole Resort & SPA - Tuscany, Italy, June 10-14 https://acdl2024.icas.events acdl(a)icas.cc EARLY REGISTRATION: by May 23 (AoE) https://acdl2024.icas.events/registration/ Oral Presentation Submission Deadline: by May 23 (AoE) LECTURERS: Each Lecturer will hold up to four lectures on one or more research topics. https://acdl2024.icas.events/lecturers/ * Joseph Sifakis, Verimag Laboratory, Grenoble, France *Turing Award* Lecture: “Artificial Intelligence: Where We Are, Where We Are Going?” * Gabriel Barth-Maron, DeepMind, London, UK 4 Lessons on "Multimodal Foundation Models" * Sergiy Butenko, Texas A&M University, USA “Cluster-detection Methods in Network-based Data Analysis” “Continuous Approaches to Cluster-Detection Problems in Networks ” * Sven Giesselbach, Fraunhofer Institute - IAIS, Germany 5 Lessons on "Introduction on Foundation Models" * Ramin Hasani, MIT, USA 4 Lessons on "Continuous Neural Networks / Liquid Neural Networks" * Nora Kassner, DeepMind, London, UK "Large Language Models: Life after Pre-training" "Large Language Models: Evaluation" "Large Language Models: Reasoning and Factuality" "Large Language Models: Retrieval augmentation and Tool-use" * Petros Koumoutsakos, Harvard University, USA “Machine Learning for Modeling and Control of Complex Systems” 1/2 “Machine Learning for Modeling and Control of Complex Systems” 2/2 “Solving forward and inverse problems with and without neural networks” “Bayesian Uncertainty Quantification” * Maria Liakata, The Alan Turing Institute, UK 4 Lessons on "Longitudinal Language Processing with User Generated Content" * Panos Pardalos, University of Florida, USA Lecture TBA Topics: Data Science, Application to Neuroscience * Jakub M. Tomczak, Eindhoven University of Technology, The Netherlands 4 Lessons on “Deep Generative Modelling” * Rianne van den Berg, Microsoft Research Amsterdam, The Netherlands 3 Lessons on "Diffusion Models" * Pascal Van Hentenryck, Georgia Institute of Technology, USA 3 Lessons on "Fusing Machine Learning and Optimization for Engineering" * Max Welling, University of Amsterdam, The Netherlands Lecture "Generalized Belief Propagation Algorithms for Tensor Network Contractions" PAST LECTURERS: https://acdl2024.icas.events/past-lecturers/ ACDL 2024 VENUE: https://acdl2024.icas.events/venue/ Riva del Sole Resort & SPA Località Riva del Sole‚ Castiglione della Pescaia (Grosseto) CAP 58043‚ Tuscany‚ Italy p: +39-0564-928111 e: booking.events(a)rivadelsole.it w: https://www.rivadelsole.it/en/ PAST EDITIONS: https://acdl2024.icas.events/past-editions/ REGISTRATION: https://acdl2024.icas.events/registration/ CERTIFICATE & 8 ECTS: PhD students, Postdocs, Industry Practitioners, Junior and Senior Academics, and will be typical profiles of the ACDL attendants. The Course will involve a total of 36-40 hours of lectures, according to the academic system the final achievement will be equivalent to 8 ECTS points for the PhD Students (and some strongly motivated master student) attending the Course. At the end of the course, a formal certificate will be delivered indicating the 8 ECTS points. TO PARTICIPATE IN ACDL 2024, all attendants must (1/2) register for the course (by May 23) and (2/2) book accommodation at the course venue, Riva del Sole Resort & SPA‚ (by May 23); all attendants must stay at the Riva del Sole Resort & SPA. Once accommodation has been booked at Riva del Sole Resort & SPA‚ the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl(a)icas.cc) ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). No exceptions are made. For privacy reasons, the Hotel cannot match people. If you have someone to share the apartment with, please send to the Hotel ( booking.events(a)rivadelsole.it) the name, surname and email address. Otherwise the solution is to book an apartment in single use. Anyone interested in participating in ACDL 2024 should register as soon as possible. See you in Riva del Sole in June! Giuseppe Nicosia & Panos Pardalos - ACDL 2024 Directors. ACDL 2024 Scientific & Organizing Committees. https://acdl2024.icas.events acdl(a)icas.cc *7th Advanced Course on Data Science & Machine Learning - ACDL 2024,* 10-14 June Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) – Tuscany, Italy An Interdisciplinary Course: Big Data, Deep Learning & AI without Borders *Early Registration: by February 23, 2024 (AoE)* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. https://acdl2024.icas.events/ *10th International Conference on Learning, Optimization and Data – LOD 2024, *22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://lod2024.icas.events/ lod(a)icas.cc *Submission Deadline: March 23* *4th Advanced Course ** and Symposium **on Artificial Intelligence and Neuroscience – ACAIN 2024,* 22–25 September Riva del Sole Resort & SPA, Castiglione della Pescaia (Grosseto) Tuscany, Italy https://acain2024.icas.events/ acain(a)icas.cc *Symposium Submission Deadline: March 23 * *Early Registration Deadline for the Course: March 23* The Course is equivalent to 8 ECTS points for the PhD Students and the Master Students attending the Course. *ICAS* *-* *The Interdisciplinary Centre of Advanced Studies* https://icas.cc/

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Grand Challenge on Neural Decoding at BioCAS 2024
by Prof. Arindam BASU 18 May '24

18 May '24

Apologies for Cross posting ---------------------------------- Dear all We are pleased to announce the Grand Challenge on “Neural Decoding for Motor Control of non-Human Primates” at IEEE BioCAS 2024. About The need to restore their ability to perform activities for daily living has motivated the development of a host of assistive technologies. The most promising among the reported ones is the intra-cortical Brain-Machine Interface (iBMI). iBMIs aim to substantially improve patients' lives affected by spinal cord injury or debilitating neurodegenerative disorders such as tetraplegia, amyotrophic lateral sclerosis etc. An important block in the signal processing chain is the intention decoder that converts the neural signal to a command for driving an actuator (e.g. wheelchair, cursor in screen etc.). While Kalman Filters have been the algorithm of choice historically, the recent improvements of deep neural networks (DNN) raise the question whether they can outperform traditional signal processing techniques. Moreover, integrating such decoders in the implant can provide an effective solution to data compression which is urgently needed to enable wireless iBMIs. However, the computational complexity of the decoder has to be reduced to fit within the power budget of an implant. Recent advances in DNN techniques such as model compression, quantization and new networks like spiking neural networks may offer solutions in this direction. This IEEE BioCAS Grand Challenge is geared in that direction and aims to push the boundary for neural decoder design toward next-generation BMI systems. We leverage the framework of Neurobench (https://arxiv.org/abs/2304.04640) developed for benchmarking neuromorphic systems to enable fair comparisons between different decoder designs. Timeline Start of Registration Friday, Apr 26, 2024 Start of Project Submission Wednesday, May 1, 2024 End of Registration/ Regular Paper Submission Friday, May 27, 2024 End of Project Submission Friday, Aug 2, 2024 Author Notification Date Friday, Aug 16, 2024 Final paper submission deadline Friday, Sep 6, 2024 Conference Registration Friday, Oct 4, 2024 Participation 1. The competition is open to individuals, colleges/universities, scientific research institutions, and enterprises. The maximum number of team members is 3. 2. To ensure compliance with local regulations during the competition, all participants should comply with the export control laws of their country. In case of any negative impact on the competition due to violation of any export control laws, the team members reserve the right to disqualify the relevant contestants and take legal action. 3. Participants shall express their interest to participate in this Grand Challenge by filling in the application form (https://forms.gle/XGu4Bo9qq2YEYWWe6 ). They have to further submit an abstract in the Conference paper submission website (https://2024.ieee-biocas.org/Call-for-Papers) choosing the track as “Grand Challenge”, by May 27, 2024. Awards Top performing teams will be invited to submit papers in a week after their notification on Aug 16. Do note that gaining one of the top places on the leaderboard does not necessarily mean the acceptance of your paper –the paper will still go through a peer review process and may be rejected. The winning entries may however present their work at the conference regardless of paper acceptance. They will also receive certificates. For further details of datasets and evaluation metrics, please check the Biocas website: http://2024.ieee-biocas.org/ You may also email the organizers as listed below. We look forward to receiving your submissions! Thanking you, Organizers Biyan Zhou, City University of Hong Kong Pao-Sheng Vincent Sun, City University of Hong Kong Jason Yik, Harvard University Charlotte Frenkel, Delft University of Technology Vijay Janapa Reddi, Harvard University Arindam Basu, City University of Hong Kong (Email: byzhou4-c(a)my.cityu.edu.hk<mailto:byzhou4-c@my.cityu.edu.hk>; vincesun-c(a)my.cityu.edu.hk<mailto:vincesun-c@my.cityu.edu.hk>; jyik(a)g.harvard.edu<mailto:jyik@g.harvard.edu> ) -- Regards Arindam Basu Professor, Dept. of EE City University of Hong Kong Associate EiC, IEEE TBCAS Editorial Board Member of IOP Neuromorphic Computing and Engineering Associate Editor of IEEE Sensors & Frontiers in Neuroscience Disclaimer: This email (including any attachments) is for the use of the intended recipient only and may contain confidential information and/or copyright material. If you are not the intended recipient, please notify the sender immediately and delete this email and all copies from your system. Any unauthorized use, disclosure, reproduction, copying, distribution, or other form of unauthorized dissemination of the contents is expressly prohibited.

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MESEC WORKSHOP 2024 [Deadline Extension]
by RUBÉN HERZOG 17 May '24

17 May '24

Dear comp-neuro community, APPLICATION DEADLINE EXTENDED We have extended the application deadline of the exciting MESEC Workshop 2024 on non-ordinary states of consciousness! one week, so don’t miss this opportunity to apply. *The new deadline is May 24th, 2024 at 23:59 anywhere on Earth.* This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. *As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend.* Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 Feel free to reach out to info(a)mesec.co with any questions. Best regards, The MESEC 2024 Team (Ros, Ruben, Romy, George)

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Complexity Textbook with ML Chapter
by Claudius Gros 16 May '24

16 May '24

Everybody! The just-published 2024 (fifth) Edition of the Sprinter Textbook Complex and Adaptive Dynamical Systems A Comprehensive Introduction contains now a chapter on "Complexity of Machine Learning" Just to let you know. More information in the table of contents https://link.springer.com/content/pdf/bfm:978-3-031-55076-8/1 Claudius -- ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ###

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M.Sc. Modeling for Neuronal and Cognitive Systems - applications are open
by Chloe Bourgeois 16 May '24

16 May '24

[APPLICATIONS FOR 2024-25 ARE OPEN UNTIL JUNE 15 !] The M.Sc. Mod4NeuCog is a two-year interdisciplinary master's program at Université Côte d'Azur (Nice, France), which aims to train active researchers at the crossroads of computer science, applied mathematics and cognitive neuroscience. We encourage students with a background in computer science, mathematics, cognitive science, psychology or neuroscience to apply to our program, where they will learn to model cognitive functions using mathematical and computational tools. After the program, students are specialized in computational neuro/cognitive science and able to work in fully interdisciplinary settings, with a strong foundation in mathematics. More information available at our website : https://univ-cotedazur.eu/msc/modeling-for-neuronal-and-cognitive-systems Thanks for sharing this email with people who may be interested! -- Chloé BOURGEOIS-ANTONINI Responsable administrative Institut NeuroMod<https://neuromod.univ-cotedazur.eu/> Université Côte d'Azur 2004 Route des Lucioles 06902 Sophia-Antipolis Tel. : +33 (0)4 89 73 24 99 chloe.bourgeois(a)univ-cotedazur.fr<mailto:chloe.bourgeois@univ-cotedazur.fr>

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SUMMER SCHOOL:
by Stephen José Hanson 15 May '24

15 May '24

Large Language Models : Science and Stakes (June 3-14, 2024) SUMMER SCHOOL: "UNDERSTANDING LLM UNDERSTANDING" https://skywritingspress.ca/2019/01/08/the-journey-begins/ -- Stephen José Hanson Professor of Psychology Director of RUBIC Member of Exc Comm RUCCS

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Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris)
by Benoît Girard 15 May '24

15 May '24

Post-doc in computational modeling of catatonia (Benoît Girard, ISIR, Sorbonne Université, Paris) A postdoc position (12+ month) is opened at the Institute of Intelligent Systems and Robotics (ISIR, Sorbonne Université & CNRS). We are looking for a young and enthusiast researcher trained in computational neuroscience or neuro-robotics to contribute to the development of a computational model of catatonia. It is based on a new theory and preliminary results obtained in the lab (Aubin et al., 2022), dealing with the study of alteration of dynamic regimes observed in models of cortico-baso-thalamo- cortical loops. Results obtained with a population model have to be reproduced and extended with a spiking model, as well as connected to motor control module so as to investigate the motor symptoms of catatonia. The project builds on an ongoing collaboration between Benoît Girard (ISIR, computational neuroscience), David Cohen (ISIR and Pitié-Salpêtrière Hospital, clinical expertise) and Ghilès Mostafaoui (ETIS at Cergy-Pontoise Université, robotics and motor control). Starting date: September, 1st. Application deadline: June 15th. Location: The postdoc will be based in ISIR (https://www.isir.upmc.fr/?lang=en) in the Pierre & Marie Curie campus in the center of Paris. Please contact us (benoit.girard(a)isir.upmc.fr, david.cohen(a)aphp.fr, ghiles.mostafaoui(a)u-cergy.fr) for further information and applications. Aubin, L., Batailley, B., Raffin, M., Mostafaoui, G., Cohen, D. and Girard B. (2022) Exploration of the respective roles of cortex and basal ganglia in catatonia with a computational model. Poster presented at FENS2022 and NeuralNet2022. -- Benoît Girard, ISIR, Sorbonne Université/CNRS http://people.isir.upmc.fr/girard Submit your replications to ReScience C: https://rescience.github.io

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MESEC WORKSHOP 2024: Non-ordinary States of Consciousness
by RUBÉN HERZOG 15 May '24

15 May '24

Dear comp-neuro-list readers *We invite you to apply to the MESEC WORKSHOP 2024 on Non-ordinary states of consciousness* Join us for an interdisciplinary workshop that brings together researchers from various fields to investigate non-ordinary states of consciousness, such as those induced by psychedelics, meditation, and hypnosis. This collaborative event provides a unique opportunity to engage with leading experts and explore these states from both first-person and third-person perspectives. This unique 7-day interdisciplinary workshop, held from August 31st to September 8th in the beautiful setting of Campomoro, Corsica, brings together researchers from various fields to explore states of consciousness induced by psychedelics, meditation, hypnosis, and more. Participants will work closely with keynote speakers to create research proposals integrating insights from multiple perspectives. The scientific chair is the esteemed Thomas Metzinger, past president of the German Cognitive Science Society and the Association for the Scientific Study of Consciousness. Confirmed speakers include: * Christopher Timmerman, Imperial College London * Aviva Berkovich-Ohana, University of Haifa * Katrin Preller, University of Zurich * Guillaume Dumas, University de Montréal The workshop offers a stimulating environment to gain exposure to diverse methodologies, contribute to advancing consciousness research, and develop new collaborations. Postdocs and PhD students interested in expanding their knowledge are encouraged to apply. Participation fees of €750 cover 8 nights accommodation, meals, airport transport, and the workshop fee. As we are trying to make our event as inclusive and accessible as possible, bursaries based on the quality of the application are available to help cover costs for those who need assistance to attend. Don't miss this opportunity - submit your application at https://mesec.co/event/seminar_2024 by May 18th! Feel free to reach out to info(a)mesec.co with any questions. Best regards, On behalf of the The MESEC 2024 Team Rubén Herzog, PhD.

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Postdoctoral position in "Higher-order interactions in brain networks" (Marseille, France)
by Andrea Brovelli 14 May '24

14 May '24

Postdoctoral position (1+1 years duration) Centre de Physique Théorique, Marseille <http://www.cpt.univ-mrs.fr/> and Institut des Neurosciences de la Timone, Marseille <https://www.int.univ-amu.fr/> Project Title: Higher-order interactions in human brain networks supporting causal learning Supervisors:Alain Barrat (CPT, Marseille) <http://www.cpt.univ-mrs.fr/~barrat>andAndrea Brovelli (INT, Marseille) <https://www.int.univ-amu.fr/member/brovelli.a> *Project abstract*: Learning is a brain network phenomenon thought to arise from synergistic interactions between multiple brain regions. Although central, this hypothesis has never been fully tested, yet. Indeed, progress has been limited by the lack of approaches for studying brain interactions beyond pairwise relations, the so-called higher order interactions (HOIs). Our objective is to build a theoretical and data analysis framework to demonstrate the role of HOIs in human brain networks supporting causal learning. The Hinteract project will be composed of three scientific work packages (WPs). WP1 will develop a novel informational theoretical approach to infer task-related (functional) HOIs from neural time series and will characterise HOIs supporting causal learning using a multiscale dataset including magnetoencephalography (MEG) and intracranial stereo-electroencephalography (SEEG) data. WP2 will develop a network science formalism to analyse the structure and dynamics of functional HOIs patterns, and it will characterise the hierarchical organisation of learning-related HOIs inferred in WP1. WP3 will compile and share the neuroinformatics tools developed in the project and it will make it interoperable with the EBRAINS infrastructure. Overall, our project will reveal whether causal learning is supported by cerebral HOIs, and produce a theoretical and computational framework for the study of HOIs in brain networks that will be shared with the scientific community. Workpackages: WP1: Inference of learning-related high-order interactions in the brain WP2: Analysis of learning-related high-order interactions in the brain using network science approaches WP3: Integrated neuroinformatics tools for HOI analysis and sharing on EBRAINS infrastructure The _hired postdoctoral researcher will mainly work on WP2_, i.e., on the development of new formalisms and methods to apply to higher order interaction patterns identified in the data analyzed in WP1. We are looking for a candidate with a strong background in statistical physics, complex networks, computational neuroscience and programming, and a strong interest in interdisciplinary work. Having already worked on higher order networks is a plus but not required. The hired postdoctoral researcher will be based in the CPT on the Luminy Campus (south of Marseille) but will also devote a significant part of their time at the INT in the La Timone campus. *Position starting date:*October 1st, 2024 (negotiable) *Duration of the position:*1 year, renewable *Deadline for applications: June 15th, 2024* *TO APPLY*: * please send CV and motivation letter, and * have your supervisors send directly two letters of recommendation, *within June 15th, 2024*to alain.barrat @ cpt.univ-mrs.fr*and*andrea.brovelli @ univ-amu.fr

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REMINDER: World wide VVTNS series: Wednesday, May 15 at 11am (EDT), Agostina Palmigiano, Gastby Unit, London | Mechanisms underlying responses to optogenetic perturbations
by David Hansel 14 May '24

14 May '24

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Agostina Palmigiano Gatsby Unit, London on the topic of "Mechanisms underlying responses to optogenetic perturbations*"* The lecture will be held on zoom on *May 15, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Optogenetic stimulation is a powerful tool to probe neural circuits. Yet, its effect on neural dynamics can be counterintuitive. Here, we analyzed and theoretically modeled neuronal responses to visual and optogenetic inputs in mouse and monkey V1. We found that in both species, optogenetic activation of excitatory neurons had weak or no effects on the distribution of firing rates across the population, but strongly modulated single-cell activity, a phenomenon which we call neuronal reshuffling. Through theoretical analysis and numerical investigations, we show that neuronal reshuffling emerges in strongly-coupled, randomly-connected networks via strong feedback inhibition, provided that the optogenetic input is sufficiently heterogeneous and weak. As perfect reshuffling was observed only when measuring cells whose orientation preference matched the orientation of the presented stimulus (in the monkey data), we extended our analysis to networks with a connection probability and inputs that depend on the cell's feature preference. We show that this model can be theoretically described as interactions between the tuned activity, encoding sensory features, and the untuned baseline activity. Finally, we show that these models can produce rate reshuffling via strong, effective inhibition of the tuned response by the untuned baseline and work out an intuition for this phenomenon. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ ᐧ

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Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI
by O'Donnell, Cian 14 May '24

14 May '24

We invite applications for our 4th annual Summer School in Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN3), hosted at the Intelligent Systems Research Centre (ISRC) in the Derry/Londonderry campus of Ulster University, Northern Ireland. The School runs from August 26th to 30th 2024 in hybrid mode with both in-person and online attendees. There have been rapid advancements and investments in research and development in brain sciences, neurotechnology, neural data modelling and neuro-inspired artificial intelligence (AI). The Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN3) Summer School aims to train the next generation of researchers on these state-of-the-art developments. This short course will touch on the areas of computational neuroscience, neural data science, neurotechnology and neuro-inspired AI. Current lecture list (to be finalised): * Introductory neuroscience * Mathematics for neuroscience * Computational modelling of plasticity and learning in brains * Computational modelling of neuronal and glial interactions * Modelling the dynamics of decision-making * Neural Signal Processing * Brain Hyperscanning * Neurotechnology and its application for disorders of consciousness * BCI-controlled exoskeleton for neuro-rehabilitation * Spiking Neural Networks and their applications * Introduction to Continual Learning * Neuro-inspired Large Language Models * Neuromorphic Computing and Applications * Research ethics in Neuroscience, Neurotechnology and AI There will also be daily computer lab sessions and group projects. How is this course different to other schools? Some key benefits: * Crash-course on a broad set of topics. * Compressed 5-day duration. * Targeted at people new to or curious about these fields, who want to learn more. Little background knowledge assumed. * Registration costs kept low and subsidised housing, to encourage a diverse attendee pool. The 2023 School hosted 143 participants from 34 countries, with 41 attending in-person. The school is primarily targeted at PhD student level but we also welcome applications from MSc students, postdoctoral researchers, academic faculty, and industrial researchers. Some attendee feedback: * “… mind-opening experience …to listen to the great work of top-notch researchers” * “…friendly environment which I felt even in online experience” * “…lectures were not only interesting on their own but were ordered in such a way that they built on top of each other …and I felt I had built a good foundation on various topics in neuroscience that I can revisit later” For more information and application, please visit the website at: https://www.ulster.ac.uk/faculties/computing-engineering-and-the-built-envi… Deadline for In-Person Application: 15 June 2024 Deadline for Online Application: 10 August 2024 This email and any attachments are confidential and intended solely for the use of the addressee and may contain information which is covered by legal, professional or other privilege. If you have received this email in error please notify the system manager at postmaster(a)ulster.ac.uk and delete this email immediately. Any views or opinions expressed are solely those of the author and do not necessarily represent those of Ulster University. The University's computer systems may be monitored and communications carried out on them may be recorded to secure the effective operation of the system and for other lawful purposes. Ulster University does not guarantee that this email or any attachments are free from viruses or 100% secure. Unless expressly stated in the body of a separate attachment, the text of email is not intended to form a binding contract. Correspondence to and from the University may be subject to requests for disclosure by 3rd parties under relevant legislation. The Ulster University was founded by Royal Charter in 1984 and is registered with company number RC000726 and VAT registered number GB672390524.The primary contact address for Ulster University in Northern Ireland is Cromore Road, Coleraine, Co. Londonderry BT52 1SA

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CFP COMPLEX NETWORKS 2024 Istanbul Turkey December 10 - 12, 2024
by Genevieve Jourdain-Lambert 13 May '24

13 May '24

13 *th **International Conference on Complex Networks & Their Applications* Istanbul, Turkey December 10 - 12, 2024 COMPLEX NETWORKS 2024 <https://complexnetworks.org/> You are cordially invited to submit your contribution until *September 03, 2024*. *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 *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 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 Entropy <https://www.mdpi.com/journal/entropy> edited by MDPI <https://www.mdpi.com/> o Advances in Complex Systems <https://www.worldscientific.com/toc/acs/24/02> edited by World Scientific o Complex Systems Journal <https://www.complex-systems.com/> *SUBMISSION:* *https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/* <https://cmt3.research.microsoft.com/COMPLEXNETWORKS2024/> *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 *GENERAL CHAIRS* Hocine Cherifi (University of Burgundy, France) Murat Donduran (Yildiz Technical University, Turkey) Luis M. Rocha (Binghamton University, USA) *PROGRAM CHAIRS* Chantal Cherifi (University of Lyon, France) Onur Varol (Sabanci University, Turkey

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position at NIH: Data Scientist and Senior Advisor to the Director of the National Institute on Drug Abuse
by Francisco Pereira 13 May '24

13 May '24

The National Institute on Drug Abuse (NIDA) is seeking a GS-15 Data Scientist for the Office of the Director. The incumbent of this position will serve as a Data Scientist and Senior Advisor to the NIDA Director and other leadership positions, on matters related to health informatics and data science, data management, emerging technologies, opportunities for collaboration, data standards and policy within the scope of the NIDA mission. The incumbent will plan and carry out quality control programs and select statistical methods for use in quality control analysis and ensure the reliability and consistency of the data while measuring the data limitations. Additionally, the selectee will provide technical expertise and project leadership necessary to advance strategic initiatives in the use and effectiveness of data- and knowledge-driven methods in the organization; and develop collaborations with researchers and administrators applying technical expertise to support a variety of use cases related to neuroscience. Some of the duties include but are not limited to the following: - Serves as a principal advisor to the NIDA Director and senior leadership on health informatics and data science, data management, and emerging technologies. - Contribute as a recognized expert in the design and implementation of computer-based solutions, including tools, techniques and practices that broaden the use of NIDA data sets and knowledge bases and ensure access to research data throughout its lifecycle. - Serve as the Institute's subject matter expert (SME) on issues and matters related to new, novel, and/or emerging technologies and areas in data analytics and their application to supporting the Institute's research portfolio; business process improvements and enhancements; data policies related to privacy, accessibility, and interoperability; and applied data science. - Serve as a member of committees or workgroups at the agency or department level as well as on interdepartmental groups. In this capacity, the incumbent provides professional expertise as well as representing NIDA on matters relating to policy and interpretation of resource requirements for data science. - Represent the organization at professional meetings and conferences where the focus is addiction-related data science and neuroinformatics. The ideal candidate will have a bachelor’s degree or graduate/higher level degree in mathematics, statistics, computer science, or data science. The successful candidate will also possess extensive knowledge of and documented experience working in neuroscience, addiction science, and/or substance use disorder research. The candidate must be a U.S. Citizen or U.S. National. Foreign nationals or legal permanent residents are not eligible for consideration. https://www.usajobs.gov/job/782086300

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Research Positions at OIST Neural Computation Unit
by Kenji Doya 12 May '24

12 May '24

Neural Computation Unit (prof. Kenji Doya) at Okinawa Institute of Science and Technology Graduate University (OIST) has multiple open research positions. 1. Theory and experimental investigation of Bayesian inference and reinforcement learning by the cortex, basal ganglia, and neuromodulator systems • Unified Theory of Prediction and Action: https://unifiedtheory.jp/en/organization/a03-doya/ • Moonshot R&D Program: https://www.jst.go.jp/moonshot/en/program/goal9/9D_miyazaki.html 2. Data-driven construction of neural network models and large-scale simulation • Brain/MINDS 2.0 Digital Brain Project: https://groups.oist.jp/ncu/digital-brain-project • Fugaku Whole Brain Simulation Project: https://brain-hpc.jp/en/ 3. Application of wearable devices for monitoring mind and body state to support healthy life • Bioconvergence Center of Innovation: https://bioconvergence.jp/en/ 4. Flexible and robust reinforcement learning and meta-learning algorithms 5. Development of smartphone robots for multi-agent learning and embodied evolution If you are interested, please visit our web site: https://groups.oist.jp/ncu and apply by the web form: https://groups.oist.jp/ncu/oist-neural-computation-unit-job-application-form If you are interested to join as a PhD student or an intern, please apply from OIST Graduate School admission site: https://admissions.oist.jp/ Best wishes, Kenji ---- Kenji Doya <doya(a)oist.jp> Neural Computation Unit, Okinawa Institute of Science and Technology Graduate University 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu

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Positions at the University of Helsinki
by Rich, Scott 10 May '24

10 May '24

Dear Comp-Neuro Listserv, I’m forwarding along this notice on behalf of a colleague. Apologies for any potential double postings! Happy to share that we are looking for two new systems neuroscientists and/or computational neuroscientists at the Neuroscience Center, University of Helsinki, Finland. The PI position is 5+4 years, salary is covered fully, and no teaching load. After the 9 years, it would be likely that a professor position would open up and the PI could apply for full profesor, but they could also obtain grants and stay as a PI in the Neuroscience Center without teaching. Finland is an awesome place to live and have a family. https://jobs.helsinki.fi/job/Helsinki-Two-group-leader-positions%2C-Neurosc… ___________ Sincerely, Scott Rich, Ph.D. Assistant Professor, University of Connecticut Department of Physiology and Neurobiology pnb.uconn.edu/person/scott-rich/ <http://pnb.uconn.edu/person/scott-rich/>richlab.pnb.uconn.edu<http://richlab.pnb.uconn.edu/>

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INCF/OCNS Software Working Group sessions: Pierre Yger: SpikeInterface: 14 May 1500 UTC
by Ankur Sinha 09 May '24

09 May '24

Dear all, Apologies for the cross posts. Pierre Yger will present SpikeInterface at the next open INCF/OCNS Software Working Group (WG) session on May 14 at 1500 UTC. There will be a Q&A session after the presentation, followed by WG business. Please find the abstract and joining information below: - When: May 14, 1500 UTC - Where: Zoom (https://ucl.zoom.us/j/91017703246?pwd=RmdwMW9xL0FFaFVVL0Z6dUtnbkplZz09) - Web page: https://ocns.github.io/SoftwareWG/2024/05/07/wg-meeting-14-may-2024-spikein… Abstract: - https://elifesciences.org/articles/61834 - https://spikeinterface.readthedocs.io/en/latest/ Much development has been directed toward improving the performance and automation of spike sorting. This continuous development, while essential, has contributed to an over-saturation of new, incompatible tools that hinders rigorous benchmarking and complicates reproducible analysis. To address these limitations, we developed SpikeInterface, a Python framework designed to unify preexisting spike sorting technologies into a single codebase and to facilitate straightforward comparison and adoption of different approaches. With a few lines of code, researchers can reproducibly run, compare, and benchmark most modern spike sorting algorithms; pre-process, post-process, and visualize extracellular datasets; validate, curate, and export sorting outputs; and more. In this paper, we provide an overview of SpikeInterface and, with applications to real and simulated datasets, demonstrate how it can be utilized to reduce the burden of manual curation and to more comprehensively benchmark automated spike sorters. -- Thanks, Regards, Ankur Sinha (He / Him / His) | https://ankursinha.in Research Fellow at the Silver Lab, University College London | http://silverlab.org/ Free/Open source community volunteer at the NeuroFedora project | https://neuro.fedoraproject.org Time zone: Europe/London

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Summer School for Primate Cognitive Neuroscience 2024, Bad Bevensen, Germany
by Igor Kagan 08 May '24

08 May '24

Dear colleagues, Applications are still being accepted for the third Summer School for Primate Cognitive Neuroscience <https://www.dpz.eu/index.php?id=4297>, taking place July 28 - August 09, 2024, in Bad Bevensen, Germany (see http://www.dpz.eu/pcn2024).The application deadline is May 17. This Summer School is intended for PhD students and early postdocs from the field of cognitive and systems neuroscience working with non-human primates and will provide an outstanding training and networking opportunity for young researchers. Teaching will focus on cognitive processes in primate sensory and motor systems as well as on social settings and decision making, and will include important and novel results and methodologies. Topics of animal welfare, ethics, and media outreach will also be covered. A poster presentation about current research of the participant is expected. Selection of applicants is competitive. Since funding of this School is mostly covered (including meals and accommodation for the two weeks), only a reduced participation fee is required (1000 EUR). A limited number of travel grants is also available for international participants. Organizers: Hans Scherberger Stefan Treue Alexander Gail Igor Kagan Raymundo Báez-Mendoza -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany

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Second Announcement: 9th Int. Summer School on Neuroengineering 'Massimo Grattarola’, June 10th – 14th, 2024 Genova ITALY
by Michela Chiappalone 07 May '24

07 May '24

**DO NOT MISS THIS FANTASTIC OPPORTUNITY** Dear all, Join us in the beautiful city of Genova for the 9th International Summer School on Neuroengineering. The 2024 edition is dedicated to 'Neuroengineering for health and disease: a multi-scale approach'. Info, program, registration are available at: https://neuroengineering.eu/ The Best Poster Award for the three Best Posters (1st, 2nd, 3rd winners) will be awarded during the final ceremony on June 14th, 2024. **Early bird rates extended till May 15th Full List of Speakers: Luca Leonardo Bologna (CNR, Palermo, Italy) Matteo Cerri (University of Bologna, Bologna, Italy) Marco Chierici (Fondazione Bruno Kessler, Trento, Italy) Giuseppe Cosentino (Fondazione IRCCS Mondino, Pavia, Italy) Egidio D’Angelo (University of Pavia, Pavia, Italy) Elisa Donati (University of Zurich, Zurich, Switzerland) Tommaso Fellin (Istituto Italiano di Tecnologia, Genova, Italy) David J. Guggenmos (University of Kansas Medical Center, Kansas City, KS, USA) Andreas Hierlemann (ETH Zurich, Basel, Switzerland) Viktor Jirsa (Aix Marseille Université, Marseille, France) Jean-Charles Mariani (Istituto Italiano di Tecnologia, Rovereto, Italy) Maurizio Mattia (Istituto Superiore di Sanità, Roma, Italy) Alberto Mazzoni (Scuola Superiore Sant’Anna Pisa, Italy) Silvestro Micera (Scuola Superiore Sant’Anna Pisa, Italy & EPFL, Lausanne, Switzerland) Farshad Moradi (Aarhus University, Aarhus, Denmark) Yuval Nir (Tel Aviv University, Tel Aviv, Israel) Lino Nobili (IRCCS Ospedale Giannina Gaslini & University of Genova, Genova, Italy) Francesco Nori (Google Deepmind, London, UK) Domenico Pellegrini-Giampietro (University of Firenze, Firenze, Italy) Michele Piana (University of Genova, Genova, Italy) Petra Ritter (Charité Universitätsmedizin, Berlin, Berlin, Germany) Marianna Semprini (Istituto Italiano di Tecnologia, Genova, Italy) Cristina Tassorelli (University of Pavia, Pavia, Italy) Nicola Toschi (University of Roma Tor Vergata, Roma, Italy) Valter Tucci (Istituto Italiano di Tecnologia, Genova, Italy) Antonio Uccelli (IRCCS Ospedale Policlinico San Martino & University of Genova, Genova, Italy) Sheng Wang (NBE, Aalto University, Helsinki, Finland) Maike Zijlamns (UMC Brain Center and Stichting Epilepsie Instellingen Nederland, Utrecht, The Netherlands)) Organizers: * Gabriele Arnulfo, Michela Chiappalone, Marco Fato, Paolo Massobrio, Sergio Martinoia (University of Genova, Genova, Italy) * Lino Nobili (IRCCS Ospedale Giannina Gaslini & University of Genova, Genova, Italy) * Egidio D’Angelo (University of Pavia, Pavia, Italy) * Alberto Mazzoni (Scuola Superiore Sant’Anna, Pisa, Italy) Feel free to get in touch with us to get more information at this email address: info(a)neuroengineering.unige.net<mailto:info@neuroengineering.unige.net> Looking forward to hosting you in Genova, Best regards, Michela Chiappalone, on behalf of the organizing committee ------------------------------------------------------------------------- Prof. Michela Chiappalone, PhD Associate Professor of Bioengineering Department of Informatics, Bioengineering, Robotics, and Systems Engineering - DIBRIS UNIVERSITY OF GENOVA Via all’Opera Pia 13A, 16145 Genova E-mail: michela.chiappalone(a)unige.it<mailto:michela.chiappalone@unige.it> Researcher Rehab Technologies IIT-INAIL Lab ISTITUTO ITALIANO DI TECNOLOGIA Via Morego 30, 16163 Genova E-mail : michela.chiappalone(a)iit.it<mailto:michela.chiappalone@iit.it>

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INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH)
by Jiaxiang ZHANG 07 May '24

07 May '24

INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN HEALTHCARE (AIiH) 4 - 6 September 2024, Swansea, UK https://aiih.cc (1st CALL FOR ABSTRACT) [ apologies for cross-postings] Submission deadline: Monday 1 July (FIRM) *1. INTRODUCTION * https://aiih.cc/abstracts/ AIiH 2024 welcomes late-breaking short abstract submissions to be included as poster or short spot-light presentation at the conference. This is to both enable fast dissemination of promising preliminary findings and encourage attendance by a broader audience of early career researchers (including research students), healthcare professionals, and industrial practitioners. AIiH 2024 is a single track conference with oral and poster presentations and will include 5 keynote presentations. The conference will also feature a plenary session, which consists of 3 invited speakers who have extensive experiences in related areas. AIiH aims to provide a prominent platform for researchers and practitioners who are devoted to improving healthcare using modern artificial intelligence. We recognise that healthcare applications present complex and sometimes unique challenges across a wide spectrum, from ethics to technical developments, that generic AI methods are often inadequate. By creating this dedicated forum, we encourage discussions and disseminations of efficient and effective AI solutions and technologies for healthcare, and in turn we hope to influence the research, technology adoption, and decision making in healthcare. *2. KEYNOTE SPEAKERS* https://aiih.cc/keynote-speakers/ Prof. Hao Ni University College London Dr. Timothy Rittman Cambridge University Dr. Konstantinos Kamnitsas Oxford University Prof. Jacques Fleuriot Edinburgh University Prof. Eiichiro Tanaka Waseda University, Japan *3. PLENARY SESSION ON TRANSLATING AI RESEARCH INTO PRACTICE* https://aiih.cc/plenary-session/ Dr. Alba Di Pardo IRCCS Istituto Neurologico Mediterraneo Neuromed Dr. Noura Al Moubayed Durham University & Evergreen Life Dr. Haoda Fu Eli Lilly and Company *4. ABSTRACT SUBMISSION* Submission instructions are available at the conference website: https://aiih.cc/abstracts/ *5. IMPORTANT DATES* Abstract deadline: Monday 1 July (FIRM) Abstract notification: Monday 8 July (FIRM) Abstract registration: Monday 15 July Late registration: Monday 12 August Main conference: Wednesday 4 – Friday 6 September 2024 *5. ORGANISERS* CONFERENCE GENERAL CHAIRS Xianghua Xie, Swansea University, UK Iain Styles, Queen’s University Belfast, UK PROGRAMME CHAIRS Gibin Powathil, Swansea University, UK Marco Ceccarelli, University of Rome Tor Vergata, Italy SPECIAL SESSION CHAIRS Jiaxiang Zhang, Swansea University, UK Rex Ying, Yale University, USA SPONSORSHIP CHAIRS Daniele Cafolla, Swansea University, UK Raoul van Loon, Swansea University, UK PUBLICITY CHAIRS Lu Zhang, Swansea University, UK Beiyu Lin, University of Nevada, USA PUBLICATION CHAIR Jingjing Deng, Durham University, UK *6. SPONSORS* Gold: - Technis Blu - Infordata Silver: - Amicus Therapeutics Bronze: - Zienkiewicz Institute for Modelling, Data and AI - IET Institution of Engineering and Technology Your Researcher Sponsor: - Elsevier Journal of Theoretical Biology Best Paper Award Sponsor: - Springer *7. CONTACT* contact(a)aiih.cc

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Last call: Submit your IP abstract today for INCF Neuroinformatics Assembly!
by Heather Topple 06 May '24

06 May '24

Today is the deadline to submit Investigator Presentation abstracts for INCF Neuroinformatics Assembly 2024: Brain Meets AI. Apply today to speak at Assembly! *Deadline: May 06* *Session topics include* - Data standards & reproducibility - Large-scale databasing & mega-analysis - Collaborative tools & more! Submit your abstract: bit.ly/INCFabstracts *Keynote speakers* Elisabeth Bik, Microbiome Digest Viktor Jirsa, INS Danilo BzDok, MILA Timo Dickscheid, Julich Research Hanchuan Peng, SEU-ALLEN /The INCF Team International Neuroinformatics Coordinating Facility Secretariat Karolinska Institutet. Nobels väg 15A, SE-171 77 Stockholm. Sweden <https://www.google.com/maps/search/Nobels+v%C3%A4g+15A,+SE-171+77+Stockholm…> incf.org neuroinformatics.incf.org

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World wide VVTNS series: Wednesday, May 8 at 11am (EDT), Douglas Zhou, Jiatong University| "Neuronal network reconstruction through causality measures"
by David Hansel 05 May '24

05 May '24

[image: VVTNS.png] https://www.wwtns.online - on twitter: wwtns@TheoreticalWide You are cordially invited to the lecture given by Douglas Zhou Jiatong University on the topic of "Neuronal network reconstruction through causality measures*"* The lecture will be held on zoom on *May 8, 2024*, at *11:00 am EDT * To receive the zoom link: https://www.wwtns.online/register-page *Abstract: *Understanding the causal connectivity within a network is crucial for unraveling its functional dynamics. However，the inferred causal connections are fundamentally influenced by the choice of causality measure employed, which may not always align with the actual structural connectivity of the network. The relationship between causal and structural connectivity, especially how different causality measures affect the inferred causal links, requires further exploration. In this talk, we examine nonlinear networks characterized by pulse signal outputs, such as spiking neural networks, using four prevalent causality measures: time-delayed correlation coefficient, time-delayed mutual information, Granger causality, and transfer entropy. We provide a theoretical analysis of the interconnections among these measures when applied to pulse signals. Utilizing both a simulated Hodgkin–Huxley network and an empirical mouse brain network as case studies, we validate the quantitative relationships between these causality measures. Our results show a strong correspondence between the causal connectivity derived from any of these measures and the actual structural connectivity, thereby establishing a direct linkage between them. We highlight that structural connectivity in networks with output pulse signals can be reconstructed on a pairwise basis, without needing global information from all network nodes, effectively avoiding the curse of dimensionality. Our approach offers a robust and practical methodology for reconstructing networks based on pulse outputs. *About VVTNS : Created as the World Wide Neuroscience Seminar (WWTNS) in November 2020 and renamed in homage to Carl van Vreeswijk in Memoriam (April 20, 2022), its aim is to be a platform to exchange ideas among theoreticians. Speakers have the occasion to talk about theoretical aspects of their work which cannot be discussed in a setting where the majority of the audience consists of experimentalists. The seminars, **held on Wednesdays at 11 am ET,** are 45-50 min long followed by a discussion. The talks are recorded with authorization of the speaker and are available to everybody on our YouTube channel.* ᐧ ᐧ ᐧ ᐧ ᐧ -- "В каждой шутке есть доля шутки" 'Life is good ..' (Carl van Vreeswijk, 1962-2022) --------------------------------------- David Hansel Directeur de Recherche au CNRS Co-Group leader Cerebral Dynamics Plasticity and Learning lab., CNRS 45 rue des Saints Peres 75270 Paris Cedex 06 Tel (Cell): +33 607508403 - Fax (33).1.49.27.90.62 ᐧ

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Postdoc for 3 years -- How to be flexible – organizing and optimizing task-dependent information processing in the visual system
by David Rotermund 03 May '24

03 May '24

The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience **for 3 years* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use network modelling,numerical simulation, and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. ============ = Official text = ============ The Computational Neurophysics lab at the University of Bremenheaded by Dr. Udo Ernst offers at the earliest date possible: *Postdoc in Computational Neuroscience (f/m/d)* German federal pay scale EG13 TV-L (100 %) *limited for 3 years*(according to § 2 WissZeitVG) *How to be flexible – organizing and optimizing task-dependent information processing in the visual system* In this project we want to study organization and optimization of flexible information processing in neural networks, with specific focus on the visual system. You will use * network modelling, * numerical simulation, * and mathematical analysis to investigate fundamental aspects of flexible computation such as task-dependent coordination of multiple brain areas for efficient information processing, as well as the emergence of flexible circuits originating from learning schemes which simultaneously optimize for function and flexibility. These studies will be complemented by biophysically realistic modelling and data analysis in collaboration with experimental work done in the lab of Prof. Dr. Andreas Kreiter, also at the University of Bremen. Here we will investigate selective attention as a central aspect of flexibility in the visual system, involving task-dependent coordination of multiple visual areas. *Requirements**:* Ideal candidates will have a PhD in computational neuroscience, physics, computer science or related fields. They must have a strong background in neural networks, dynamical systems, mathematics and/or data analysis, and experience in programming (we use Python in our lab). Above all, you must be highly motivated, responsible, have a strong desire to learn and be able to work proactively in an international research environment. Fluency in English (both written and spoken) is required. The Computational Neurophysics Lab offers a good working atmosphere, direct involvement in international research and attractive facilities. You will have the opportunity to link your research to a wide range of other topics being studied in our lab, such as collective dynamics in neural systems, information processing in deep spiking networks, and the development of visual cortex prostheses. *General hints:* Open to unconventional approaches in research and teaching, the University of Bremen has retained its character as a place of short distances for people and ideas since its founding in 1971. With a broad range of subjects, we combine exceptional performance and innovative potential. As an ambitious research university, we stand for research-based learning approaches and a pronounced interdisciplinary orientation. We actively pursue international scientific cooperation in a spirit of global partnership. Today, around 23,000 people learn, teach, research and work on our international campus. In research and teaching, administration and operations, we are firmly committed to the goals of sustainability, climate justice and climate neutrality. Our Bremen spirit is expressed in the courage to dare new things, in supportive cooperation, in respect and appreciation for each other. With our study and research profile and as part of the European YUFE network, we assume social responsibility in the region, in Europe and in the world. The University of Bremen is family-friendly, diverse and sees itself as an international university. We therefore welcome all applicants regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. As the University of Bremen intends to increase the proportion of female employees in science, women are particularly encouraged to apply. Disabled applicants will be given priority if their professional and personal qualifications are essentially the same. For questions of the research project please contact: Dr. Udo Ernst, E-Mail: _udo(a)neuro.uni-bremen.de_ For general information on this topic, see also: _https://www.uni-bremen.de/ernstlab <https://www.uni-bremen.de/ernstlab>_ _Detailed instructions for applicants_ Your application must comprise: *Motivation letter* Your 1–2-page essay should address the following questions: * What is your background? What areas have you worked in previously, and how do you think this will help you in this role? * What attracts you to computational neuroscience? * What computational neuroscience problem(s) are you most interested in? * What is your motivation for joining our project? * What are your plans for your future career? * When will you definitely be able to begin? *Curriculum Vitae* Send a tabular CV with your contact details, and all stages of education and employment. *List of skills, awards, publications* List your skills, especially language skills (including level of proficiency), that you think might be useful for the job. Also list any awards you have received and any peer-reviewed publications, if you have any. *Contact details of two academic references* One of the referees should be your PhD and/or MSc supervisor. Please inform your referees before listing their names so that they are not surprised when we contact them. You can apply in English or German, whichever language you are more comfortable with. Please explicitly address each of the specified requirements in your application (see detailed instructions below), and send your application documents until *31.05.2024*by indicating the *job id A189-24 to* Universität Bremen Institut für Theoretische Physik Frau Agnes Janssen Hochschulring 18 D-28359 Bremen or as one PDF file by unencrypted electronic mail to: _ajanssen(a)neuro.uni-bremen.de <mailto:ajanssen@neuro.uni-bremen.de>_. We kindly ask you to send us only copies (no portfolios) of your application documents, as we cannot return them. They will be destroyed after the selection process has been completed. Please note that incomplete applications will not be considered.

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EBRAINS Brain Simulation Workshop 2024 - Bilbao, 3-7 June
by Mathieu Desroches 03 May '24

03 May '24

Dear all, We are organising the next EBRAINS <https://www.ebrains.eu/> event in Bilbao from 3rd to 7th June. All infos regarding the registration and the scientific program are available on the event’s webpage: https://www.bcamath.org/events/ebrains2024/en/ Best, Mathieu. --------------------------------------------------------------------- Dr. Mathieu Desroches Research Director (Directeur de Recherche) MathNeuro <https://team.inria.fr/mathneuro/> Project Team Leader Inria Branch of the University of Montpellier, France https://www-sop.inria.fr/members/Mathieu.Desroches/

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Activities for Students and Postdocs at the FENS Forum 2024
by SHSC FENS 03 May '24

03 May '24

Apologies for cross-posting. Dear all, I would like to bring your attention to the activities for students and postdocs at the *FENS Forum 2024 <https://fensforum.org/>* (25th-29th of June in Vienna, Austria), organised by students from the host societies, the Austrian Neuroscience Association and Hungarian Neuroscience Society. To help you network during the forum, we invite you to sign up for the following events (the *activities are for free*, but you need to be a Forum participant to be eligible): - Meet the Experts <https://www.austrian-neuroscience.at/FENS2024-SHSC_Meet_the_Expert/>: a *coffee break session with the conference speakers*, where we pair you with 4 other students and an expert on your topic of interest at a cafe near the conference venue. Coffee and cake are paid by us! - Student buddy system <https://www.austrian-neuroscience.at/FENS2024-SHSC_buddysystem/>: we pair you with a local neuroscientist to help you navigate the city, answer questions, and make your trip to FENS 2024 unforgettable! *The deadline for signing up is May 15th.* Also check out our *booth at the conference venue*! There you can get advice for travel, restaurants, leisure, the scientific program, and other surprises! You will also find the brochure "Vienna Unveiled: Uncover Hidden Gems and Local Favorites" featuring our favorite spots in town. For detailed information please check out our website: austrian-neuroscience.at/FENS2024-SHSC/ <https://www.austrian-neuroscience.at/FENS2024-SHSC/> And for updates about our activity follow us on social media: instagram.com/austrianneuroscience/ <https://www.instagram.com/austrianneuroscience/> facebook.com/Austrian.Neuroscience.Association <https://www.facebook.com/Austrian.Neuroscience.Association> linkedin.com/in/austrian-neuroscience-association <https://www.linkedin.com/in/austrian-neuroscience-association> twitter.com/AustrianNeuros1 If you have any questions please email us at: shscfens(a)gmail.com See you at the FENS Forum 2024! Kind regards, FENS Forum Student Host Society Committee

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[CFP] Final deadline extension - 6 May - Modern Machine Learning methods for robust and real-time BCI - ESANN 2024
by Jaime Andres Riascos Salas 03 May '24

03 May '24

Sorry for cross-posting. CALL FOR PAPERS CFP – SPECIAL SESSION MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI) FINAL EXTENSION - Paper Submission Deadline: 6 MAY 2024 EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN 2024) OCTOBER 9-11, 2024 Bruges, Belgium. Online and on-site http://www.esann.org [1] Are you planning to participate? A short additional extension is possible, please contact the special session organizer: jariascos(a)correo.iue.edu.co THE EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS, COMPUTATIONAL INTELLIGENCE AND MACHINE LEARNING (ESANN) is a leading annual conference dedicated to cutting-edge research and applications within these fields. Since 1993, ESANN has provided a vital platform for researchers from academia, industry, and government to share their latest findings, foster interdisciplinary collaborations, and network with others in the field. The conference covers core topics like artificial neural networks, computational intelligence, and machine learning, and explores wide-ranging applications in areas such as bioinformatics, engineering, and finance. The 32nd edition of ESANN (ESANN 2024) will take place in Bruges, Belgium in hybrid mode (both in-person and online participation), from Wednesday 9 to Friday 11 October 2024. Bruges (also called the "Venice of the North") is one of the most beautiful medieval towns in Europe. Bruges is situated about 100 km. from Brussels and can very easily be reached by train from Brussels' main stations. Bruges is unique in Europe: a living city of human proportions where you can wander to your heart's content in virtually unspoiled surroundings. Inside ESANN 2024, the special session "MODERN MACHINE LEARNING METHODS FOR ROBUST AND REAL-TIME BRAIN-COMPUTER INTERFACES (BCI)” aims to spotlight and consolidate the latest advancements, innovations, challenges, and prospects in modern machine learning algorithms for BCI, which are both accurate and fast enough for real-time use, and ideally assessed for real-time use. BCIs are communication and control systems that enable users to interact with computers using brain activity only. They are very promising for various applications, such as assistive technologies, rehabilitation, or mental state monitoring, but suffer from a lack of robustness. Their robustness mostly relies on advances in machine learning and signal processing. Simple models offer a quick response to real-time constraints but often without high accuracies. In contrast, artificial neural networks and more elaborate models compromise speedy responses for reaching sometimes higher accuracies. Thus, ideally, there is a need for a trade-off in complexity in signal processing and machine learning stages to obtain the best combination, i.e., both high accuracy and speed. Therefore, we aim to foster interdisciplinary collaborations and pave the way for future breakthroughs in this field. We invite authors to submit original research articles, reviews, and case studies on the next topics: 1. Signal Processing and Feature Extraction: I. Novel methods for preprocessing EEG signals II. Feature extraction techniques for real-time BCI applications 2. Classification Algorithms: I. Advanced machine learning algorithms for BCI signal classification II. Deep learning approaches in BCI research 3. Real-time BCI Systems: I. Development of real-time BCI systems II. Applications and challenges in deploying BCI systems in real-time. Prospective authors are invited to contribute to the conference by electronically submitting papers through the ESANN portal following the instructions provided at https://www.esann.org/node/6 [2] and choosing our session's title as Target Session on the paper submission form. Papers must not exceed 6 pages, including figures and references. All papers will be submitted to a single-blind peer-review process. LaTeX and Word-style files are available. They must be used for generating the PDF file (see author guidelines at https://www.esann.org/author_guidelines [3]). Accepted papers will be presented as either talks or posters (in-person or online), to favor interaction with the ESANN attendees. There is no difference in quality between talks and posters; all papers will be published in the conference proceedings. At least one author must register for the conference and pay the registration fee. We ask prospective authors to send us an e-mail with the tentative title of their contribution to the special session as soon as possible. IMPORTANT DATES: FINAL EXTENSION - Paper submission deadline: 2 MAY 2024 6 MAY 2024 Notification of acceptance: 16 JUNE 2024 The ESANN 2023 conference: 9-11 OCTOBER 2024 SPECIAL SESSION ORGANZERS: Fabien Lotte (Inria, France) Marta Molinas (NTNU, Norway) Jaime A Riascos (Potsdam University - Institution University of Envigado, Germany - Colombia) Bests regards! -- Jaime A. Riascos Salas Links: ------ [1] http://www.esann.org/ [2] https://www.esann.org/node/6 [3] https://www.esann.org/author_guidelines

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Available Positions in Computer Science at the University of Plymouth
by Amir Aly 02 May '24

02 May '24

Dear All The University of Plymouth has several available positions in Computer Science (including games, cybersecurity, and AI). More details are available in this advertisement (deadline is 27th May 2024): https://www.jobs.ac.uk/job/DGN533/lecturer-associate-professor-in-computer-… If you have any remarks, pls don't hesitate to contact me, Regards ---------------- *Dr. Amir Aly* Lecturer in Artificial Intelligence and Robotics Programme Manager of Artificial Intelligence Center for Robotics and Neural Systems (CRNS) School of Engineering, Computing, and Mathematics Room A307 Portland Square, Drake Circus, PL4 8AA University of Plymouth, UK

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2nd announcement: Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin
by Reinoud Maex 01 May '24

01 May '24

________________________________ From: Brian Sullivan <brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk>> Sent: Wednesday, March 27, 2024 14:27 To: comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org> <comp-neuro-owner(a)lists.cnsorg.org<mailto:comp-neuro-owner@lists.cnsorg.org>> Subject: Dana Ballard memorial symposium at ICDL (May 20, 2024), UT Austin On May 20, 2024, a memorial symposium will be held as a remembrance and celebration of the life and scientific work of Dr. Dana Ballard (1946–2022), who was a pioneer in the study of computer vision, neural computation, human vision and motor coordination, and robotics. Dr. Ballard was a professor of computer science at the University of Texas at Austin and a member of the Center for Perceptual Systems. As part of the IEEE International Conference on Development and Learning (ICDL) 2024,https://la.utexas.edu/users/dil/ICDL_Austin_2024/<https://la.utexas.edu/users/dil/ICDL_Austin_2024>, we will host a morning seminar session celebrating Dana Ballard’s research with presentations by: Rajesh Rao, Jochen Triesch, Chen Yu, Virginia De Sa, Constantin Rothkopf, Janneke Jehee, and Ruohan Zhang. Memorial Session Website: https://la.utexas.edu/users/dil/symposium%20_icdl/index.html<https://la.utexas.edu/users/dil/symposium%20_icdl/index.html> Date: Monday May 20, 2024 Time: 8:30 am to 12:00 pm Location: The University of Texas at Austin, Austin, Texas, USA The session is free but we ask that you kindly register your plans to attend via the Google form listed on the session website, or via the direct link here: Registration for the Dana Ballard Memorial Symposium at ICDL 2024 (google.com)<https://docs.google.com/forms/d/e/1FAIpQLScI5RRtrBBlKpEi3wcXw30MBM3nfe7mwCj…> Note that registration for the main conference is not required, but if you are interested in attending the main conference, you can register here: https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary<https://web.cvent.com/event/298b4f7f-1772-4c46-b774-f438a164f72f/summary> Information about accommodation is available on the main conference web page. Brian Sullivan & Chen Yu -- Please note I have shifted to honorary status at the University of Bristol and do not check this email regularly. -- Brian Sullivan brian.sullivan(a)bristol.ac.uk<mailto:brian.sullivan@bristol.ac.uk> Honorary Research Fellow Population Health Sciences Bristol Medical School BF7 Barley House University of Bristol Bristol, BS8 2BN, UK

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Final schedule released; fewer than 20 tickets left---Convention on Mathematics of Neuroscience and AI (Rome, May 28-31st 2024)
by Battleday, Ruairidh 01 May '24

01 May '24

Dear All, We have just released the *final schedule* for our *Annual Convention on the Mathematics of Neuroscience and AI*: www.neuromonster.org We are very nearly out of tickets, so if you do want to come and join us, please go ahead and book now! We have a *fantastic line-up of speaker*s, and a *fantastic venue* near the Colosseum. A once-in-a-decade event? *Keynotes* Professor Peter Dayan (Max Planck Institute, Tübingen) Professor Sophie Deneve (ENS, Paris) Professor Wolfgang Maass (TUG) Professor Mackenzie Mathis (EPFL) Professor Anne Collins (UC Berkeley) Professor Kevin Ellis (Cornell) Dr Feryal Behbahani (Google DeepMind) Dr Giovanni Pezzulo (NRC of Italy, Rome) *Speakers* Professor Andrew Adamatzky (UWE) Professor Christine Grienberger (Brandeis) Professor Rafal Bogacz (Oxford) Professor Athena Akrami (UCL) Professor Nicolas Brunel (Duke) Dr Lea Duncker (Stanford) Dr Kris Jensen (UCL) Professor Dagmar Sternad (Northeastern) Professor Bill Thompson (UC Berkeley) Professor Samuel McDougle (Yale) Dr Maria Eckstein (DeepMind) Dr Fred Callaway (NYU / Harvard) Professor Najoung Kim (BU, Google) Dr André Barreto (DeepMind) Dr Sophia Sanborn (USB / UBC) Dr Wilka Carvalho (Harvard) ... and many more spotlight talks! All the best, The Organizing Committee -- Dr Ruairidh McLennan Battleday BMBCh (Oxon) PhD President Thinking About Thinking <http://www.thinkingaboutthinking.org> Postdoctoral Research Fellow Center for Brain Science, Harvard University Center for Brains, Minds, and Machines, MIT

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