- Comp-neuro - lists.cnsorg.org

Tenure-Track Assistant Professor in Professorship in Cognitive Neuroscience of brain-microbiome interaction (University of Vienna)
by Lei Zhang June 25, 2020

June 25, 2020

(my apologies for cross-posting) Dear colleagues, The Vienna Cognitive Science Hub is looking for a Tenure-Track Professorship in Cognitive Neuroscience of brain-microbiome interaction. The application deadline is 23.09.2020. The candidate for the tenure track position should have a strong focus on the translational and integrative potential of human cognitive neuroscience, at the interface of (social) brain, cognition, their disorders, and the microbiome. Research should be building upon a strong conceptual framework and interdisciplinarity. The methodological approach should focus on the interplay between neuro-cognitive processes and neural codes, and their relation to biological regulation systems driven by the microbiome, in humans. Thematically, the focus should be on basic mechanistic research in the domains of (social) emotion and cognition, as well as their disorders, preferentially but not necessarily on topics such as social interaction, affiliation, or learning and memory. While basic in nature, the research should hold potential to advance the translational understanding of mental and cognitive disorders, such as depression and autism, or of aging-related diseases, such as Alzheimer’s disease, or Frontotemporal Dementia, respectively. The position provides excellent opportunities to strengthen cross-institutional collaborative initiatives within the domain of neuroscience and microbiome research. [Job Flyer] https://bit.ly/3i2OTU8 [Full Description] https://bit.ly/2Yxwwza Contact for questions regarding the advertisement: peter.rantasa(a)univie.ac.at Best wishes, Lei --- *Dr. Lei Zhang* Postdoc Social, Cognitive & Affective Neuroscience Unit <http://scan-psy.univie.ac.at/> Department of Cognition, Emotion, and Methods in Psychology Faculty of Psychology University of Vienna Liebiggasse 5, 1010 Vienna, Austria e: lei.zhang(a)univie.ac.at w: lei-zhang.net t: @lei_zhang_lz <https://twitter.com/lei_zhang_lz>

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ONLINE SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, August 2020
by Rava A. da Silveira June 25, 2020

June 25, 2020

*CN**EURO **2020* *Theoretical and Computational Neuroscience Summer School* *17 to 23 August 2020 — Online, hosted by Tsinghua University, Beijing* http://brain.tsinghua.edu.cn/CNeuro *About CNeuro* How intelligence and behavior emerge from complex and intricate interactions within the brain remains a deep and unsolved mystery, central to an exciting area of interdisciplinary research. The past decade has seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This evolution presents challenges and opportunities for both experimentalists and theorists, as the complex algorithmics of brain function and the intricate interactions among neurons cannot be approached with experiments alone. Mathematical theory is instrumental in the emergence of theoretical insights and frameworks that can help guide experimental work and identify unifying principles of brain function. The aim of the one-week summer school will be to introduce students with a strong quantitative background (in mathematics, physics, computer science, and engineering) to the emerging field of theoretical and computational neuroscience. The course will bring together leading scientists in the field, who will deliver lectures, take part in small-group discussions, and share their personal experience and views on a range of research topics. The distinguishing feature of CNeuro is the emphasis it places on the role of systematic mathematical theory for understanding the brain, in part by stressing the connections between neuroscience, statistics, machine learning, and artificial intelligence. The summer school will serve as a pedagogical introduction to some of the methods particularly relevant to exploring these connections. *Course Structure and Curriculum* Each day will include three hours of lectures as well as two hours of discussions among students and faculty, in small groups. Topics will touch upon the biophysics and dynamics of neurons and network, neural coding, models of learning and other cognitive function, as well as machine learning and Bayesian approaches. There will be the possibility for students to work on problem sets and initiate independent projects. *Faculty* Rava Azeredo da Silveira (ENS) Stella Christie (Tsinghua University) Damon Clark (Yale University) Carina Curto (Penn State University) Ralf Haefner (University of Rochester) Yu Hu (HKUST) Daniel Lee (Cornell University) Songting Li (Shanghai JiaoTong University) Zhaoping Li (MPI of Biologial Cybernetics) Cristina Savin (NYU) Eric Shea-Brown (University of Washington) Sara Solla (Northwestern University) Sen Song (Tsinghua University) Louis Tao (Peking University) Xiaoqin Wang (Johns Hopkins University) Quan Wen (USTC) Hang Zhang (Peking University) Kechen Zhang (Johns Hopkins University) Douglas Zhou (Shanghai JiaoTong University) *Application and deadline* Please submit CV and personal statement by 15 July 2020, at http://brain.tsinghua.edu.cn/CNeuro.

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Job Opening: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU June 22, 2020

June 22, 2020

The Department of Computer Science at Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, is now seeking outstanding applicants for the following faculty positions on tenure-track. *Professor / Associate Professor / Assistant Professor (Computer Science) (PR0311/18-19)* The appointees will perform high-impact research; to teach and supervise students at undergraduate and postgraduate levels, as well as to contribute to professional and institutional services. Collaboration with other faculty members in research and teaching is also expected. They will be encouraged to collaborate with colleagues within the Department to contribute to two special thematic applications including (a) health informatics and (b) secure and privacy-aware computing, and to pursue new strategic research initiatives under the Department/Faculty/University. Applicants should possess PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in areas including but not limited to: Internet of things, Cyber-security, High-performance computing, Big data analytics, and Financial technologies. Applicants should also show strong commitment to undergraduate and postgraduate teaching in computer science and/or information systems, possess track record of innovative research and high-impact publications, and be able to bid for and pursue externally-funded research programmes. The above positions are on tenure-track with initial appointment on three-year fixed-term contracts. Re-appointment thereafter will be subject to mutual agreement. For enquiry, please contact Dr. William Cheung, Head of Department (email: william(a)comp.hkbu.edu.hk) More information about the Department can be found at http://www.comp.hkbu.edu.hk. Those who have responded to the advertisement posted in December 2019 need not re-apply. *Rank and salary will be commensurate with qualifications and experience.* *Application Procedure:* Applicants are invited to submit their applications at the HKBU e-Recruitment System (jobs.hkbu.edu.hk) with samples of publications, preferably *three best ones* out of their most recent publications/works. They should also request *two referees* to send in confidential letters of reference, with *PR* number (stated above) quoted on the letters, to the Personnel Office (Email: recruit(a)hkbu.edu.hk) direct. Those who are not invited for interview 4 months after the closing date may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at http://pers.hkbu.edu.hk/pics. The University reserves the right not to make an appointment for the posts advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. *Closing Date: 31 July 2020 (or until the positions are filled)* URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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Beyond Hebb FENS 2020 symposium
by Cian O'Donnell June 19, 2020

June 19, 2020

If you are attending the online FENS Forum 2020 (https://forum2020.fens.org) please consider our joint experimental/computational symposium at 1pm UK time on 11th July: Beyond Hebb: multi-scale computations in synaptic plasticity * Suhita Nadkarni (IISER Pune; http://www.iiserpune.ac.in/~suhita/) “Metaplasticity at hippocampal synapses” * Thomas Oertner (University of Hamburg; http://oertner.com) “Optogenetic investigation of plasticity at individual synapses” * Kim Avrama Blackwell (Krasnow Institute for Advanced Study, George Mason University; http://krasnow1.gmu.edu/CENlab) “Spatial interactions among signaling pathways controls spatially specificity of synaptic plasticity” * Ryohei Yasuda (Max Planck Florida; https://mpfi.org/science/our-labs/yasuda-lab/) “Intracellular signaling during synaptic, circuit and behavioral plasticity” The session will highlight exciting research on spatial and temporal computations at synapses during plasticity. There are two computational speakers and two experimental speakers. Full symposium details here: https://cslide.ctimeetingtech.com/fens2020/attendee/confcal/show/session/298 Best, Cian O’Donnell (https://odonnellgroup.github.io) and Melanie Stefan (http://stefanlab.net)

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CALL: Pattern Recognition in Neuroimaging Virtual Summer School
by Jozsef Arato June 18, 2020

June 18, 2020

CALL FOR APPLICATIONS Pattern Recognition in Neuroimaging Virtual Summer School: PRNI 2020 Dates: 14-18 September 2020. Organized by the Research Group Neuroinformatics and the Cognitive Science Hub, University of Vienna, Austria We are happy to announce PRNI 2020, a one-week virtual summer school aimed at training students and early-stage researchers in theoretical and practical aspects of using machine learning and other modern data analysis methods in cognitive neuroscience. The summer school consists of talks by internationally renowned experts complemented by interactive Python tutorials. Students will receive help and feedback from teaching assistants and will have the opportunity to get to know other researchers online. The early bird registration deadline is the 30th of June, please find more details on the link below: <https://prni2020.univie.ac.at/> https://prni2020.univie.ac.at/ Main Topics: · Machine learning · Deep learning · Bayesian modeling · Connectivity and causality · fMRI · EEG/MEG · Calcium imaging Keynote Speakers Peter Dayan (MPI Biological Cybernetics/Tubingen) Katharina Dobs (MIT) Romy Lorenz (Cambridge) Teaching Faculty (A-Z) Sebastian Tschiatschek (Uni. Vienna) Tonio Ball (Uni. Freiburg) Máté Lengyel (Cambridge/CEU) Georg Langs (Med. Uni. Wien) Alexandre Gramfort (INRIA) Moritz Grosse-Wentrup (Uni. Vienna) Manuel Zimmer (IMP Vienna) _______________________________________ Jozsef Arato, PhD Program Chair PRNI 2020 Data Science Postdoc ----------------------------- Vienna Cognitive Science Hub University of Vienna Liebiggase 5 (Room HE.63) 1010, Vienna <mailto:jozsef.arato@univie.ac.at> jozsef.arato(a)univie.ac.at

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Fully funded PhD in Electrophysiology: Closed-loop Transcranial Electric Stimulation
by Axel Hutt June 18, 2020

June 18, 2020

========== PhD-project in electrophysiology: Closed-loop Transcranial Electric Stimulation of Neural Networks in a Rodent Model of Psychosis Transition. ========== Patients suffering from schizophrenia develop resistance to chemical treatments. Transcranial electrical stimulation (TES), a non-invasive neurophysiological approach, has been shown to alleviate some symptoms, to improve cognitive performances, and to modulate the corticothalamic connectivity. The goal of the project is to optimize a combination of stimulation parameters that make it efficient for the TES against the psychosis transition using predictive electrical biomarkers. In healthy humans and rodents, ketamine reproduces, with a single psychotomimetic dose, the abnormal amplification of corticothalamic gamma-frequency (30-80 Hz) oscillations recorded in individuals having a high-risk mental state for a psychosis transition. Gamma oscillations are naturally involved in cognition, which is also disrupted in at-risk patients. It was demonstrated that the ketamine-induced gamma hyperactivity is prevented by the antipsychotic clozapine. The Ph.D. student will experimentally investigate the TES in the ketamine rodent model of psychosis transition. In an attempt to optimize a combination of stimulation parameters with potential preventive/curative effects, the Ph.D. student will develop and build up a closed-loop feedback system that controls the TES optimally using a Kalman filter. Requested skills: ----------------- The ideal candidate will have a strong background in neuroscience, preferably with experience in in-vivo electrophysiological techniques, mathematical and statistical skills for data analysis (EEG and cellular), and basic knowledge in numerical programming and neural modelling. Start of the position will be Fall 2020, with duration of 36 months. Funding source: INRIA (Action Exploratoire A/D Drugs). PhD Directors: -------------- Axel Hutt, Inria – MIMESIS Email: axel.hutt(a)inria.fr team web page: https://mimesis.inria.fr/ Didier Pinault, Inserm – U1114 Email: pinault(a)unistra.fr lab web page: https://www.u1114.inserm.fr/ Please send your application documents (CV and 1 recommendation letter) by email to Axel Hutt.

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Computational neuroscience postdoc opportunity at Rutgers University
by Aaron Milstein June 16, 2020

June 16, 2020

Dr. Aaron D. Milstein is looking for a postdoctoral researcher to work in his new computational neuroscience lab in the Center for Advanced Biotechnology & Medicine at Rutgers University. Research will focus on using modeling and simulation to understand how nonlinear signal integration in neuronal dendrites, non-Hebbian associative synaptic plasticity, and cellular diversity contribute to learning and memory in health and neurodevelopmental disorder. URM scientists encouraged to apply. https://jobs.rutgers.edu/postings/115366

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NEST Conference 2020 Program — Registration Deadline Monday 22 June 2020
by Hans Ekkehard Plesser June 16, 2020

June 16, 2020

Dear Colleagues! The virtual NEST Conference 2020 on 29/30 June is less than two weeks away and we are happy to invite you to an exciting program of presentations and workshops, which you will find below. The conference will be single track to facilitate interactions and include virtual coffee breakouts to mix and mingle. Please don't forget to register by MONDAY, 22 June 2020 at https://www.nest-simulator.org/conference. Please note that we now also accept PayPal as a payment method. See you at the NEST Conference 2020! Hans Ekkehard Plesser & Susanne Kunkel Monday 29 June, 2020 (all times are CEST) * 09:00 — Welcome & Introduction (Susanne Kunkel) * 09:15 — NEST user-level documentation: Why, how and what’s next? (Sara Konradi) * 09:35 — Exploring new Fenix resources using NEST (Alexander Patronis) * 09:55 — Minibreak * 10:00 — Toward a possible integration of NeuronGPU in NEST (Bruno Golosio) * 10:45 — Coffee breakout * 11:15 — Workshop: NEST multiscale co-simulation (Wouter Klijn) * 12:15 — Lunch break * 13:15 — Thalamo-cortical spiking model of incremental learning combining perception, context and NREM-sleep-mediated noise-resilience (Chiara De Luca) * 14:00 — Minibreak * 14:05 — An Integrated Model of Visual Perception and Reinforcement(Petia Koprinkova-Hristova) * 14:25 — Partial Information Decomposition Contextual Neurons in NEST(Sepehr Mahmoudian) * 14:45 — Coffee breakout * 15:15 — deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon) * 15:35 — Primate perisylvian cortex in NEST: from reflex to small world (Harry Howard) * 15:55 — Minibreak * 16:00 — Modeling robust and efficient coding in the mouse primary visual cortex using computational perturbations (Stefan Mihalas) * 16:45 — Wrap-up (Hans Ekkehard Plesser) * 17:00 — Mingle Tuesday 30 June, 2020 (all times are CEST) * 09:00 — A spiking neural network builder for systematic data-to-model workflow(Carlos E Gutierrez) * 09:20 — Insite: A Generalized Pipeline for In-transit Visualization and Analysis(Simon Oehrl) * 09:40 — Minibreak * 09:45 — NEST Component for Modeling Spiking Neuron-Astrocyte Networks(Jugoslava Aćimović) * 10:30 — Coffee breakout * 11:00 — Atlas-mapped reconstruction and simulation of the cerebellar Lingula in NEST (Alice Geminiani) * 11:20 — Cerebro-cerebellar loops for sensorimotor adaptation (Alberto Antonietti) * 11:40 — Minibreak * 11:45 — Modeling plasticity inducing stimulation protocols in recurrent neuronal networks with homeostatic structural plasticity (Swathi Anil) * 12:30 — Lunch break * 13:30 — Dendrites in NEST (Willem Wybo) * 13:50 — Just-in-time compilation for NESTML models in NEST Simulator (Charl Linssen) * 14:10 — NEST Desktop: A web-based GUI for the NEST Simulator (Sebastian Spreizer) * 14:30 — Minibreak * 14:40 — Evolving interpretable plasticity rules using NEST (Jakob Jordan) * 15:25 — Coffee breakout * 15:45 — Workshop: deNEST: a declarative frontend for specifying networks and running simulations in NEST (Tom Bugnon & William Mayner) * 16:45 — Closing Remarks -- Prof. Dr. Hans Ekkehard Plesser Head, Data Science Section Faculty of Science and Technology Norwegian University of Life Sciences PO Box 5003, 1432 Aas, Norway Phone +47 6723 1560 Email hans.ekkehard.plesser(a)nmbu.no<mailto:hans.ekkehard.plesser@nmbu.no> Home http://arken.nmbu.no/~plesser

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Call for submissions for the special issue on "Reaching and Grasping the Multisensory Side of Dexterous Manipulation"
by Ivan Camponogara June 16, 2020

June 16, 2020

Dear All, In collaboration with the journal "Frontiers in Psychology", we are bringing together a selected group of international experts to contribute to an open-access article collection on: "Reaching and Grasping the Multisensory Side of Dexterous Manipulation" Guest Editors: Dr. Ivan Camponogara, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates Dr. Luigi F. Cuturi, Italian Institute of Technology (IIT), Genova, Italy Dr. Simone Toma, Arizona State University, Tempe, United States Dr. Marco Santello, Arizona State University, Tempe, United States The submission deadline is 31 July 2020. Visit the collection homepage for the full description of the project: https://www.frontiersin.org/research-topics/12640 Kind Regards, Ivan Camponogara Topic Editor, Cognition Section, Frontiers in Psychology On behalf of the Topic Editors. -- Ivan Camponogara (Ph.D.) Postdoctoral Associate New York University Abu Dhabi (NYUAD) Computational Research Building (A2), desk 144-B P.O. Box 129188 Abu Dhabi, United Arab Emirates Office Tel (UAE): +971 2 628 4960 Website: https://ivancamponogara.com ᐧ

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PhD position in machine learning and computational neuroscience at the University of Vienna
by Moritz Grosse-Wentrup June 15, 2020

June 15, 2020

Dear all, We have an open doctoral position at the intersection of machine learning and computational neuroscience as part of the Zebrafish Neuroscience Interdisciplinary Training Hub (https://zenith-etn.com/) The goal of the Ph.D. project is to develop multi-level causal models that relate neuronal activity patterns (as measured by Calcium imaging) in Zebrafish larvae to behavior. To get a better idea of how we approach this problem, please take a look at https://www.youtube.com/watch?v=P-U50EO77cU The position is based in the Research Group Neuroinformatics at the Faculty of Computer Science of the University of Vienna (https://ni.cs.univie.ac.at/) All work will be done in close collaboration with other European groups in the ZENITH consortium, e.g., in London and Paris. Depending on how the ongoing pandemic develops, extended stays at collaborating research labs are intended. Salary is according to the Collective Bargaining Agreement for university staff (job group B1 75%, https://personalwesen.univie.ac.at/en/jobs-recruiting/job-center/salary-sch…) We welcome applications from anybody with a Master's degree and an interest in machine learning and computational neuroscience. We particularly welcome applications by women, trans- and intersex candidates, people of colour, disabled applicants and candidates from other underrepresented groups. Disabled applicants will receive preference over equally qualified non-disabled applicants. We will start screening applications on July 1st, though the position will remain open until filled. We would like to fill the post as soon as possible, but a later starting date can be negotiated. Your application should include a brief cover letter, a CV, transcripts, and contact information of at least two referees. Please submit your application documents (as one PDF file) to fsg.neuroinformatics(a)univie.ac.at. If you have any questions before applying, please contact me at moritz.grosse-wentrup(a)univie.ac.at. Best, Moritz -- Univ.-Prof. Dr.-Ing. Moritz Grosse-Wentrup Research Group Neuroinformatics Faculty of Computer Science University of Vienna Hörlgasse 6, A-1090 Wien, Austria moritz.grosse-wentrup(a)univie.ac.at +43-1-4277-79610 http://neural.engineering/

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