- Comp-neuro - lists.cnsorg.org

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada
by Nicola, Wilten March 18, 2019

March 18, 2019

Tenure-track position: Theoretical and Computational Neurophysics, University of Calgary, Canada The Department of Physics and Astronomy at the University of Calgary seeks outstanding candidates for a tenure-track position at the rank of Assistant Professor, in the area of theoretical and computational neurophysics. The successful candidate is expected to establish an independent research program related to the fundamentals of brain and neural dynamics at the intersection of physics and neuroscience. Theoretical, computational and data-driven areas of interest in modeling neural systems include neural dynamics, plasticity, information propagation, and network neuroscience. Link: https://careers.ucalgary.ca/jobs/3670741-assistant-professor-theoretical-an… Deadline: May 31, 2019 --- Dr. Jörn Davidsen Associate Professor of Physics & Humboldt Research Fellow University of Calgary www.ucalgary.ca/complexity/davidsen<http://www.ucalgary.ca/complexity/davidsen>

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MSc Neuroscience program University of Freiburg, Germany
by Carsten Mehring March 18, 2019

March 18, 2019

MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and the latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and genes,circuiots & behaviour. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2019 entry is the 31st of May 2019. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de <http://www.mscneuro.uni-freiburg.de/> Please contact mscneuro@uni-freiburg,de for further questions. With kind regards Carsten Mehring University of Freiburg

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INTERNATIONAL SUMMER SCHOOL IN COMPUTATIONAL NEUROSCIENCE, Beijing, August 2019
by Rava A. da Silveira March 16, 2019

March 16, 2019

*CNeuro**: International Summer School and Workshop* *in Theoretical and Computational Neuroscience* *Tsinghua University, Beijing (August 2019)* *Background* How intelligence and behavior emerge from complex and intricate interactions within the brain remain important and unsolved mysteries in modern science. In the last decade, we have seen rapid progress in experimental tools that now make it possible to monitor and manipulate brain circuits in unprecedented detail. This research area presents both challenges and opportunities for experimentalists and theoreticians. The complexity and dynamics of the brain make it difficult to tackle its mechanisms and functions with experimental approaches alone. Mathematical theory is pivotal for obtaining new insights and for guiding experiment, as well as for identifying and unifying concepts and principles of brain functions. The aim of the two-week summer school and workshop will be to introduce students with strong quantitative background (e.g., in mathematics, theoretical physics, computer science, or engineering) to the emerging field of theoretical and computational neuroscience. The course will also bring together leading scientists in theoretical and computational neuroscience. We envision a collaborative environment where faculty and students will have in-depth discussions on topics in the frontier of neuroscience. The course will be a pedagogical basis for new students, introducing them to advanced mathematical methods and modeling approaches that are currently being used and developed to understand brain functions. *Time* 15 – 29 August 2019 *Location* The summer school will be held at the Tsinghua Laboratory of Brain and Intelligence (THBI), at Tsinghua University, in Beijing. THBI is a flagship project of the university. It is a new interdisciplinary research institute recently established by Tsinghua University, with dedicated faculty positions and research space. The institute aims to conduct cutting-edge interdisciplinary research across the fields of systems and computational neuroscience and artificial intelligence. The institute occupies three floors in a newly renovated building with large classrooms for teaching and computer labs, and ample offices for visiting scholars. *Organizers* Xiaoqin Wang, Johns Hopkins University and Tsinghua University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Quan Wen, University of Science and Technology of China Sen Song, Tsinghua University *Faculty* Yoram Burak, The Hebrew University Dmitri Chklovskii, Flatiron Institute, Simons Foundation Michael Hausser, University of College London Yu Hu, Hong Kong University of Science and Technology Dezhe Jin, Penn State University Jian Liu, University of Leicester Cengiz Pehlevan, Harvard University Aravi Samuel, Harvard University Rava Azeredo da Silveira, Ecole Normale Supérieure Sen Song, Tsinghua University Louis Tao, Peking University Srinivas Turaga, Janelia Research Campus Xiaoqin Wang, Johns Hopkins University and Tsinghua University Quan Wen, University of Science and Technology of China Kechen Zhang, John Hopkins University *Applications* Please send a CV and a statement of purpose to thbi(a)tsinghua.edu.cn Application deadline: *20 May 2019* *Housing* International students will be housed on the Tsinghua University campus.

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PhD Comp Neuro position, Moreno-Bote lab, Barcelona
by Ruben Moreno Bote March 16, 2019

March 16, 2019

*PhD Position in* *Computational Neuroscience, Ruben Moreno-Bote Lab * *Center for Brain and Cognition, University Pompeu Fabra, Barcelona, Spain* 1 fully funded PhD position is available in the group of Theoretical and Cognitive Neuroscience of Ruben Moreno-Bote in the Center for Brain and Cognition at the University Pompeu Fabra, Barcelona, Spain. We are looking for excellent candidates with Physics, Mathematics or Machine Learning background interested in developing theory for the brain and mind. Knowledge of Computational Neuroscience or Neuroscience would be ideal, but it is not necessary. The candidate will develop state of the art theory and models to understand neuronal dynamics and coding and will have access to multielectrode recording neural data. She/he could also be involved in the design of monkey and human behavioral experiments and the development of models of visual perception, decision making and working memory. The candidate will benefit from the stimulating environment of Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/ruben-moreno-bote) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the Howard Hughes Medical Institute and the Spanish MINECO. APPLICATION: A full CV in pdf format and an extract of grades for degree and master studies should be sent to the following address: ruben.moreno(a)upf.edu DEADLINE: until the position is filled STARTING DATE: any time between September 2019 and January 2020 -- Rubén Moreno Bote Serra Húnter & ICREA Academia Professor Center for Brain and Cognition & Dept. of Information and Communications Technologies University Pompeu Fabra Campus Ciutadella c\ Ramon Trias Fargas, 25-27 Mercè Rodoreda building, 3th floor (room 24.331) 08005 Barcelona, Spain http://www.upf.edu/pdi/ruben-moreno-bote

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[CALL FOR PAPERS] IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE
by Gigg Liu March 16, 2019

March 16, 2019

IEEE/WIC/ACM International Conference on Web Intelligence (WI'19) 14-17 OCTOBER 2019 Thessaloniki, GREECE https://webintelligence2019.com/ Sponsored By: Web Intelligence Consortium (WIC) Association for Computing Machinery (ACM) IEEE Computer Society In Cooperation With: Chinese Computer Federation (CCF) CALL FOR PAPERS Web has evolved as an omnipresent system which highly impacts science, education, industry and everyday life. Web is now a vast data production and consumption platform at which threads of data evolve from multiple devices, by different human interactions, over worldwide locations under divergent distributed settings. Such a dynamic complex system demands adaptive intelligent solutions, which will advance know-ledge, human interactions and innovation. Web intelligence is now a cutting edge area which must address all open issues towards deepening the understanding of all Web’s entities, phenomena, and developments. The theme for the WI'19 is: "Web Intelligence = AI in the Connected World". The 18th Web Intelligence conference (WI'19) aims to achieve a multi-disciplinary balance between research and technological disruptive advances in the fields of how intelligence is impacting the Web of People, the Web of Data, the Web of Things, the Web of Trust, and the Web of Health. WI'19 welcomes research, application as well as Industry/Demo track paper submissions in these core thematic pillars under wider topics, which demand WI innovative and disruptive solutions for any of the next indicative sub-topics. Track 1: Web of People Social networks analytics Social media and dynamics User and behavioral modeling Human centric computing Opinion mining Recommendation engines Sentiment analysis Crowdsourcing and social data mining People oriented applications and services Track 2: Web of Data Data science and machine learning Big data analytics Data integration and data provenance Cognitive models Computational models Information search and retrieval Algorithms and knowledge management Knowledge bases and semantic networks Linked data management and analytics Data driven services and applications Track 3: Web of Things IoT data analytics Web infrastructures and devices Mobile web Distributed systems and devices Open autonomous systems Industrial multi-domain web Streaming data analysis Smart city applications and services Track 4: Web of Trust Hidden web analytics Blockchain analytics and technologies Web-scale security, integrity, privacy and trust Web cryptography Fake content and fraud detection Web safety and openness Monetization services and applications Track 5: Web of Health Personalized health management and analytics Health data exchange and sharing Big data in medicine Wellbeing and healthcare in the digital era Omics research and trends Healthcare and medical applications and services IMPORTANT DATES The Program Chairs are soliciting contributed technical papers for presentation at the Conference and publication in the Conference Proceedings by ACM. Submissions are encouraged before the next deadlines: Feb 20th, 2019: Workshop Proposals May 12th, 2019: Full Papers; Demo papers; Tutorial proposals June 30th, 2019: Notification of Acceptance/Rejection July 14th, 2019: Final, Camera Ready Papers, Due PAPER SUBMISSION Please follow guidelines: https://wi-lab.com/cyberchair/2019/wi19/scripts/submit.php?subarea=Wr/. Papers must be submitted electronically via Cyberchair in standard ACM format (max 8 pages). Submitted papers will undergo a peer review process, coordinated by the International Program Committee. ORGANIZATION General Chairs Georg Gottlob, UK Yannis Manolopoulos, Cyprus Program Chairs Payam Barnaghi, UK Athena Vakali, Greece Steering Committee Chairs Jiming Liu, HK, China Ning Zhong, Japan Track Chairs Panagiotis Bamidis, Greece Marios Dikaiakos, Cyprus Elena Ferrari, Italy Josiane Xavier Parreira, Ireland Herman Purohit, USA Workshop Chairs Dimitrios Katsaros, Greece Rahul Pandey, USA Demo Chairs Amelie Gyrard, USA George Pallis, Cyprus Proceedings Editor Theodoros Tzouramanis, Greece Publicity Chairs Karin Becker, Brasil Leonidas Anthopoulos, Greece Yang Liu, Hong Kong Xujuan Zhou, Australia

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Post-Doc position: HuRRiCane project (deadline 27/03)
by Xavier Hinaut March 15, 2019

March 15, 2019

Dear Colleagues, I would like to share the following post-doc position opening in my team (see below) with the title: HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension If you know people interested, please forward. Thank you very much. Best regards, Xavier Hinaut Inria Researcher (CR) Mnemosyne team, Inria LaBRI, Université de Bordeaux, France Institut des Maladies Neurodégénératives +33 5 33 51 48 01 www.xavierhinaut.com --- Title HuRRiCane: Hierarchical Reservoir Computing for Language Comprehension Post-doc position for 1 year Starting October 2019 Deadline for applications Send email ASAP and before 27th of March 2019 Apply on before 31st of March 2019 How to apply? All info here: https://sites.google.com/site/xavierhinaut/job-internship-offers/post-docto… Remuneration 2653€ / month (before taxes) Keywords Computational Neuroscience, Recurrent Neural Networks, Reservoir Computing, Language Processing, Language Acquisition, Speech Processing, Modeling, Language Grounding, Prefrontal Cortex, Sequence Learning, Machine Learning. Scientific research context How does our brain understand a sentence at the same time as it is pronounced? How are we able to produce sentences that the brain of the hearer will understand? There is a huge number of tools for Natural Language Processing (NLP), but there is fewer computational models that try to understand how language comprehension and production works effectively in the brain. There are theoretical models or models based on psychological experiments (Dell & Chang 2014), but few models are based on neuro-anatomy and brain processes (Hinaut & Dominey 2013). Moreover, even fewer of these models have been implemented in robots, to demonstrate their robustness among other things (Hinaut et al. 2014). Using robots to study language grounding, acquisition and development is not a new topic, in fact Cangelosi et al. (2010) have proposed a roadmap to tackle this long research plan. In order to model how a sentence can be processed, word by word (Hinaut & Dominey 2013), or even phoneme by phoneme (Hinaut 2018), the use of recurrent neural networks such as Reservoir Computing (Jaeger 2004), and its extension, the Conceptors (Jaeger 2017), offers advantages and interesting results. In particular, the possibility to compare the dynamics of the model with the dynamics of brain electrophysiological recordings (Enel et al. 2016) is an interesting asset. The Reservoir Computing paradigm is also interesting because it can be trained with few data and have quick execution time for human-robot interactions. The use of linguistic models with robots, is not only useful to validate the models in real conditions: it also enables to test other hypotheses, notably the anchoring of the language (Harnard 1990) or the emergence of symbols (Taniguchi et al., 2016). Work description The objective is to experiment how a sentence comprehension model, based on reservoir computing, can learn to understand sentences by exploring which meanings can have the sentences, implying several steps from stream of phonemes to words and from stream of words to sentence comprehension. The model will be implemented on a virtual agent first and then on the Nao humanoid robot For the experiments we want to make, a model implemented in a situated agent or robot is needed in order to "understand" the meaning of the utterance which is being told and figure out whether the meaning is plausible or not. If the meaning found does not make sense, the model could "re-parse" the sentence and reinterpret it. Moreover, we prefer to have a concrete corpus of based on actions a robot can do rather than abstract sentences of the Wall Street Journal (a classical benchmark). We have already performed several experiments with both sentence comprehension and production models with humanoid robots such as iCub and Nao (Hinaut et al. 2014, Twiefel et al. 2016). Having a plausibility measure of a meaning will allow us to set up a cascading reinterpretation if necessary, first from the word level, and if that is not enough, to reinterpret the phonemes to find new plausible words. There exists two main types of observations made with an electroencephalogram (EEG) with human subject: P600 and N400. They are assumed to correspond to syntactically or semantically reinterpretations of the sentence. The model developed will have to account for these induced observations. In Hinaut & Dominey (2013), we showed that our model could provide an equivalent of P600 when a sentence was syntactically complex. This project is linked to other projects in the team on the hierarchical organization of the prefrontal cortex (including Broca's area, involved in language). This hierarchy corresponds to an increasingly higher abstraction, which is made by different sub-areas. We will therefore be able to link this post-doc project to existing projects of the team, where different levels of abstractions are necessary for sentence comprehension. Main References - G. S. Dell, & F. Chang (2014) The P-chain: Relating sentence production and its disorders to comprehension and acquisition. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1634). - H. Jaeger, (2017) Using conceptors to manage neural long-term memories for temporal patterns. The Journal of Machine Learning Research, 18(1), 387-429. - X. Hinaut, P.F. Dominey (2013) Real-Time Parallel Processing of Grammatical Structure in the Fronto- Striatal System: A Recurrent Network Simulation Study Using Reservoir Computing. PloS ONE 8(2): e52946. - X. Hinaut, M. Petit, G. Pointeau, P.F. Dominey (2014) Exploring the Acquisition and Production of Grammatical Constructions Through Human-Robot Interaction. Frontiers in NeuroRobotics 8:16. - Hinaut, X. (2018). Which Input Abstraction is Better for a Robot Syntax Acquisition Model? Phonemes, Words or Grammatical Constructions? In 2018 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). Skills Good background in computational neuroscience, computer science, physics and/or mathematics; A strong interest for neuroscience, linguistics and the physiological processes underlying learning; Python programming with experience with scientific libraries Numpy/Scipy (or similar programming language: matlab, etc.); Experience in machine learning or data mining; Independence and ability to manage a project; Good English reading/speaking skills. French speaking is not required Benefits package Subsidized meals Partial reimbursement of public transport costs Possibility of teleworking (after 6 months of employment) and flexible organization of working hours Professional equipment available (videoconferencing, loan of computer equipment, etc.) Social, cultural and sports events and activities Access to vocational training Social security coverage

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PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar)
by Prata, Diana March 15, 2019

March 15, 2019

For divulgence - many thanks. PhD FELLOWSHIP IN INTERDISCIPLINARY NEUROSCIENCE @ LISBON (pre-selection 20th Mar, application 28th Mar) The annual FCT state-sponsored PhD scholarship application call is now open (deadline 28th of March - see conditions in https://www.fct.pt/apoios/bolsas/concursos/individuais2019.phtml.en) and is an excellent opportunity to be part of a PhD project at the Biomedical Neuroscience Lab (Diana Prata's lab; dpratalab.wordpress.com<http://dpratalab.wordpress.com>) at the University of Lisbon. If you are interested in a project within one the research streams below, please contact the PI (diana.prata(a)kcl.ac.uk<mailto:diana.prata@kcl.ac.uk>) for a skype interview by 20th of March, to ascertain mutual interest. This being ascertained, your FCT PhD scholarship (deadline 28th Mar) application can be associated with one of the lab's projects. Research stream 1: Neurobiology of Social Cognition Context. Understanding the neurochemistry and circuitry mediating social cognition is key to treat a large range of neuropsychiatric disorders – as social deficits are often present at their origin and often do not subside with treatment. Working out what others think, intend and feel is essential for optimal communication and cooperation and is dysfunctional in schizophrenia and other illnesses. We are characterizing the physiology involved in social cognition, for example: how does oxytocin promote social reinforcement learning? What effect does it have in brain and behaviour? How does it interact with other neurotransmitter systems? Tools. We will study healthy humans and schizophrenia patients with structural and functional neuroimaging (MRI, DTI and MRS), double blind placebo-controlled pharmacological administration, psychological testing, social cognition tasks, eye-tracking, pupilometry, skin conductance response, EEG, DNA/proteomics testing and computational modelling. We use mainly MATLAB, SPSS, and other more specific quantitative data analysis and task presentation software. Sponsors. European Commission, Portuguese Science and Technology Foundation, and Bial Foundation. Main collaborations. King’s College London (UK), Emory University (USA), and The Netherlands Institute for Neuroscience (The Netherlands). Project Stream 2. Multimodal biomarkers to predict the onset and prognosis of neuropsychiatric illnesses. Keywords. Genetics, neuroimaging, environment, clinical biomarkers, schizophrenia, autism, Alzheimer’s, Parkinson’s. Context. Psychiatry and, to a lesser extent, neurology are still fields of medicine that take very little advantage of quantitative, biological and objective measurements – with a lot of trial-and-error and one-size-fits-all therapeutics. This may be why diagnosis, prediction of prognosis and response to treatment are relatively inaccurate, late and expensive. For example, about a third of Alzheimer’s cases go on mis- or under-diagnosed; it is still undetected which one third of people with at-risk symptoms for schizophrenia go on to develop this chronic illness, and about one quarter of schizophrenia patients do not respond to their first line of treatment. Can we capitalize on the existing information in brain scans and other quantitative measurements to assist clinicians in deciding on patients’ diagnosis or prognosis, earlier and more accurately than currently – so that the correct treatment can start as soon as possible? Tools. We are developing pattern recognition algorithms that can statistically predict the level of personalized risk of each new patient. To train these algorithms, we use pre-existing samples (free online or our own) containing neuroimaging and also genetic, psychological, environmental and clinical data. We use mainly MATLAB, Python and machine learning tools. Sponsors. Portuguese Science and Technology Foundation, NIHR (National Institute for Health Research, UK) Main Collaborations. King’s College London (UK), Radboud University Nijmegen (The Netherlands), University of Munich (Germany)

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Job Openings: Professor / Associate Professor / Assistant Professor (Computer Science) at Hong Kong Baptist University
by COMP HKBU March 15, 2019

March 15, 2019

The Department of Computer Science of Hong Kong Baptist University, presently offers BSc, MSc, MPhil, and PhD programmes, now seeks outstanding applicants for the following faculty positions on tenure-track. The appointees are expected to perform high-impact research; to teach and manage programmes 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/or outside the Department to contribute to interdisciplinary research projects under our University’s Research Cluster on Data Analytics and A.I. in X. Applicants should possess a PhD degree in Computer Science, Computer Engineering, Information Systems, or a related field, and sufficiently demonstrate abilities to conduct high-quality research in one of the Department’s key research areas: (i) computational intelligence, (ii) databases and information management, (iii) networking and systems, and (iv) pattern recognition and machine learning. Applicants should also demonstrate 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 demonstrate the ability to bid for and pursue externally-funded research programmes. Initial appointment will be made on a fixed-term contract of three years. Re-appointment thereafter is subject to mutual agreement and availability of funding. 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 . 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). Applicants are requested to send in samples of publications, preferably three best ones out of their most recent publications. Applicants should also request two referees to send in confidential letters of reference, with PRnumber (stated above) quoted on the letters, to the Personnel Office (email: recruit(a)hkbu.edu.hk) direct. All application materials including publication samples, scholarly/creative works will be destroyed 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. Review of applications will begin in mid April 2019 and will continue until the positions are filled. URL: https://www.comp.hkbu.edu.hk/v1/?page=job_vacancies&id=503

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CFP 28th International Conference on Artificial Neural Networks ICANN 2019, Sept 17-19, Munich, DE, Deadline extension
by Paolo Masulli ENNS March 14, 2019

March 14, 2019

28th International Conference on Artificial Neural Networks http://icann2019.org = Second announcement - submission deadline extended to April 1, 2019 = Munich, Germany 17 - 19 September 2019 Special event: BIGCHEM (http://bigchem.eu) final meeting ============================================================ The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). In 2019 the Helmholtz Zentrum Muenchen - German Research Center for Environmental Health GmbH (HMGU) and the Technical University of Munich (TUM) together with the "Big Data in Chemistry" Marie Skłodowska-Curie Innovative Training Network European Industrial Doctorate project (BIGCHEM) organize the 28th ICANN Conference from the 17th to the 19th of September 2019 in Munich, Germany. CONFERENCE TOPICS ICANN 2019 is a dual-track conference featuring tracks in Brain Inspired Computing and Machine Learning and Artificial Neural Networks, with strong cross-disciplinary interactions and applications. All research fields dealing with Neural Networks will be present at the conference. A non-exhaustive list of topics includes: Machine Learning: Deep Learning, Neural Network Theory, Neural Network Models, Graphical Models, Bayesian Networks, Kernel Methods, Generative Models, Information Theoretic Learning, Reinforcement Learning, Relational Learning, Dynamical Models Recurrent Networks. Brain Inspired Computing: Cognitive models, Computational Neuroscience, Self-organisation, Reinforcement Learning, Neural Control and Planning, Hybrid Neural-Symbolic Architectures, Neural Dynamics. Neural Applications for: Bioinformatics, Biomedicine, Intelligent Robotics, Neurorobotics, Language Processing, Image Processing, Sensor Fusion, Pattern Recognition, Data Mining, Neural Agents, Brain-Computer Interaction, Neural Hardware, Evolutionary Neural Networks. Special session (BIGCHEM): Big Data analysis in chemistry, chemoinformatics, use of deep learning to predict molecular properties, drug-discovery, modelling and prediction of chemical reaction data, synthetic route prediction, structure generation, molecular dynamics simulations and quantum chemistry. Special sessions: Artificial Intelligence in Medicine, Informed and Explainable Methods for Machine Learning, Deep Learning in Image Reconstruction, Machine Learning with Graphs: Algorithms and Applications, Neural Variational Inference and Time Series. Workshops: 1st International Workshop on Reservoir Computing (RC 2019) CALL FOR CONTRIBUTED SCIENTIFIC COMMUNICATIONS All scientific communications presented at ICANN 2019 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature three categories of communications: - oral communications (15'+5') - poster communications - demonstrations Call for Papers: Authors willing to present original contributions in either oral or poster category may submit: - a proceedings paper manuscript of about 10 - 12 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series with individual DOI - extended abstracts of a maximum length of 4 pages to be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. The number of oral slots is limited. In case the number of requested oral presentations is larger than the available slots the ICANN scientific committee will select which papers will be reassigned to a poster session. This selections will be based on the coherence of the programme and is totally independent of the category of submission. Submission of communications will be online. More details will be made available soon on the conference website: http://icann2019.org IMPORTANT DATES Deadline of special sessions submission: 1 February 2019 Opening of contribution submissions: 1 February 2019 Submission of demonstration proposals: 1 March 2019 Deadline of proceedings paper submission: EXTENDED to 1 April 2019 Deadline of extended abstracts submission: 1 April 2019 Notification of acceptance: 1 May 2019 Camera-ready paper and registration opening: 1 June 2019 Deadline early registration at discount rate: 15 June 2019 Conference dates: 17-19 September 2019 REGISTRATION FEES (EARLY RATES) Full registration: 400 EUR Student registration: 250 EUR Reductions for ENNS members BEST PAPER AWARDS ENNS will sponsor a maximum of four best paper awards, two in the Brain Inspired Computing track (one poster and one oral communication) and, analogously, two in the Machine Learning Research track. All awardees will be presented during the final ceremony. TRAVEL GRANTS The European Neural Network Society sponsors a number of Student Travel Grants covering part of the costs for attending ICANN. Details on the conference website. ORGANISATION General Chair: Igor Tetko (ENNS/HMGU Munich, Germany) and Fabian Theis (HMGU/TUM Munich, Germany) Organising Committee Chairs: Monica Campillos (HMGU Munich, Germany), Alessandra Lintas (ENNS Lausanne, Switzerland) Honorary Chair: Vera Kurkova, Czech Academy of Sciences (ENNS President) Communication Chair: Paolo Masulli (ENNS Lausanne, Switzerland)

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[journals] CfP : Special Issue on Continual Unsupervised Sensorimotor Learning
by Nguyen, Sao Mai March 14, 2019

March 14, 2019

Dear Colleagues, IEEE Transactions on Cognitive and Developmental Systems is currently running a Special Issue entitled " Continual Unsupervised Sensorimotor Learning". Dr. José Antonio Iglesias Martínez, Assoc. Prof. We would like to invite you to prepare a research article or a comprehensive review to be published in this special issue. AIM AND SCOPE Although machine learning algorithms continue to improve at a rapid pace enabling technologies and products such as autonomous driving cars and sophisticated image and speech recognition, it is often forgotten that these applications represent tailored solutions to specific tasks. Thus it is not clear if or how these autonomous systems can pave the road to general purpose machines envisioned by many. The pursuit for higher levels of autonomy and versatility in robotics is arguably lead by two main factors. Firstly, as we push robots out of the labs and productions lines, it becomes increasingly difficult to design for all possible scenarios that a particular robot might encounter. Secondly, the cost of designing, manufacturing, and maintaining such systems becomes prohibitive. As the algorithms for learning single tasks in restricted environments are improving, new challenges have gained relevance in order to get more autonomous artificial systems. These challenges include multi-task learning, multimodal sensorimotor learning and lifelong adaptation to injury, growth and ageing. Addressing these challenges promise higher levels of autonomy and versatility of future robots. This special issue on Continual Unsupervised Sensorimotor Learning is primarily concerned with the developmental processes involved in unsupervised sensorimotor learning in a life-long perspective, and in particular the emergence of representations of action and perception in humans and artificial agents in continual learning. These processes include action-perception cycle, active perception, continual sensory-motor learning, environmental-driven scaffolding, and intrinsic motivation. The special issue will highlight behavioural and neural data, and cognitive and developmental approaches to research in the areas of robotics, computer science, psychology, neuroscience, etc. Contributions might focus on mathematical and computational models to improve robot performance and/or attempt to unveil the underlying mechanisms that lead to continual adaptation to changing environment or embodiment and continual learning in open-ended environments. Contributions from multiple disciplines including cognitive systems, cognitive robotics, developmental and epigenetic robotics, autonomous and evolutionary robotics, social structures, multi-agent and artificial life systems, computational neuroscience, and developmental psychology, on theoretical, computational, application-oriented, and experimental studies as well as reviews in these areas are welcome. THEMES This special issue aims to report state-of-the-art approaches and recent advances on Continual Unsupervised Sensorimotor Learning with a cross-disciplinary perspective. Topics relevant to this special issue include but are not limited to: Emergence of representations via continual interaction Continual sensory-motor learning Action-perception cycle Active perception Environmental-driven scaffolding Intrinsic motivation Neural substrates, neural circuits and neural plasticity Human and animal behaviour experiments and models Reinforcement learning and deep reinforcement learning for life-long learning Multisensory robot learning Multimodal sensorimotor learning Affordance learning Prediction learning SUBMISSION Manuscripts should be prepared according to the “Information for Authors” of the journal found at http://cis.ieee.org/component/content/article/7/131-ieee-transactions-on-au…. Submissions must be done through the IEEE TCDS Manuscript center: https://mc.manuscriptcentral.com/tcds-ieee. Please select the category “SI: Continual Unsupervised Sensorimotor Learning”. IMPORTANT DATES 6th January 2019 – Paper submission deadline 15th March 2019 – Notification for authors 31st May 2019 – Deadline revised papers submission 30th June 2019 – Final notification for authors 31st July 2019 – Deadline for camera-ready versions September 2019 – Expected publication date More information on Continual Unsupervised Sensorimotor Learning http://projects.au.dk/socialrobotics/news-events/show/artikel/special-issue… GUEST EDITORS Nicolás Navarro-Gerrero Aarhus University, Aarhus, Denmark nng(a)eng.au.dk Sao Mai Nguyen IMT Atlantique, Francenguyensmai(a)gmail.com Erhan Öztop Özyeğin University, Turkeyerhan.oztop(a)ozyegin.edu.tr Junpei Zhong National Institute of Advanced Industrial Science and Technology (AIST), Japanjoni.zhong(a)aist.go.jp ---- Nguyen Sao Mai nguyensmai(a)gmail.com Researcher in Cognitive Developmental Robotics http://nguyensmai.free.fr

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3-year PhD studentship at University of Strathclyde, Glasgow
by Shuzo Sakata March 13, 2019

March 13, 2019

A fully funded 3-year PhD studentship is available to work with Dr Shuzo Sakata at the University of Strathclyde in Glasgow, UK. This PhD project concerns a large dataset of in vivo silicon probe recordings with optogenetic tagging from the mouse auditory system across age. By applying advanced statistical approaches, we aim to better understand how state-dependent and cell-type-specific information processing in the auditory system can change over multiple timescales. In this project, data analysis with computer programs (e.g., Python, MATLAB) is an essential component. A successful candidate should have or expect to have an Honours Degree at 2.1 or above (or equivalent) in Computational Neuroscience, Physics, Data Science, Computer Science, Statistics or related fields. During their PhD, they will also have an excellent opportunity to learn about in vivo experimental approaches as well as neurotechnology. In the first instance, candidates may send their application to Dr Shuzo Sakata (shuzo.sakata(a)strath.ac.uk) including a CV and cover letter, detailing their motivation for this particular PhD project and their career goal. -- Shuzo Sakata, Ph.D. Senior Lecturer in Circuit Neurophysiology Strathclyde Institute of Pharmacy and Biomedical Sciences University of Strathclyde 161 Cathedral Street, Glasgow G4 0RE, UK tel: +44-(0)141-548-2156, fax: +44-(0)141-552-2562 email: shuzo.sakata(a)strath.ac.uk The University of Strathclyde is a charitable body, registered in Scotland, number SC015263

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Bernstein Network Information Booth at the 13th Göttingen Meeting of the German Neuroscience Society (NWG)
by Alexandra Stein March 13, 2019

March 13, 2019

Dear colleagues, The Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/de/neues/termine/13th-goettingen-meeting-o…> will have an exhibition booth (C) at the upcoming Göttingen Meeting of the German Neuroscience Society<https://www.nwg-goettingen.de/2019/> (March 20-23, 2019). The booth will present: * research fields * open positions * study and training programs * infrastructural facilities: Bernstein Facility for Data Technology: G-Node<http://www.g-node.org/> and Bernstein Facility for High Performance Simulation and Data Analysis: Simulation Laboratory Neuroscience <http://www.fz-juelich.de/ias/jsc/EN/Expertise/SimLab/slns/_node.html> * Data management service (GIN)<https://web.gin.g-node.org/>, Electrophysiology Analysis Toolkit (Elephant)<http://neuralensemble.org/elephant/>, and The Neural Simulation Technology (NEST) Initiative <http://www.nest-initiative.org/> Furthermore, there will be various demos at our booth. Please find the schedule below: G-Node will give demo presentations of their data management services (GIN) for organizing, sharing, and publishing research data: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 10:00 - 11:30 and 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 Walk-ins are welcome any time during the conference. Demos of data analysis using the Electrophysiology Analysis Toolkit (Elephant) will take place at: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 The Neural Simulation Technology (NEST) Initiative will give demos at the following times: Wednesday, March 20, 13:00 - 14:30 Thursday, March 21, 16:30 - 18:00 Friday, March 22, 10:00 - 11:30 We are looking forward to welcoming you at our booth no. C! Best regards, Alexandra Stein -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Computational Vision Summer School (CVSS) 2019 Call for Applications
by Hendrikje Nienborg March 13, 2019

March 13, 2019

[apologies for cross-posting] We are seeking applications for the 3rd Computational Vision Summer School (CVSS)from*June 30th to July 7th 2019*in Freudenstadt (Black Forest), Germany. ** *The summer school, aimed at PhD students and Postdocs, spans the spectrum of vision research from neuroscience and psychophysics to computer vision to foster discussions at the intersection of biological and artificial vision systems. It seeks to bring together people from diverse disciplines who all share a computational view of vision and who, due to the diversity of disciplines involved, do not regularly meet.* *** CVSS is free of tuition and accomodation is sponsored by the German Research Foundation (DFG: CRC/1233 Robust Vision). Application deadline: April 15, 2019 http://orga.cvss.cc/ Confirmed speakers: ** Ted Adelson (MIT, USA) ** Matthias Bethge (University of Tübingen, Germany) Michael Black (MPI-IS Tübingen, Germany) EJ Chichilnisky (Stanford University, USA) Alexei Efros (UC Berkeley, USA) Sanja Fidler (University of Toronto / NVIDIA, Canada) Chelsea Finn (UC Berkeley, USA) Roland Fleming (University Giessen, Germany) Bill Geisler (UT Austin, USA) Otmar Hilliges (ETH Zürich, Switzerland) Mackenzie Mathis (Harvard University, USA) Bruno Olshausen (UC Berkeley, USA) Ruth Rosenholtz (MIT, USA) Stefan Roth (TU Darmstadt, Germany) Eero Simoncelli (New York University, USA) Antonio Torralba (MIT, USA) Raquel Urtasun (University of Toronto / Uber ATG, Canada) Felix Wichmann (University of Tübingen, Germany) Li Zhaoping (MPI-IS and University of Tübingen, Germany) Program Chairs and Advisory Board: Andreas Geiger, Hendrikje Nienborg, Siyu Tang, Bei Xiao Matthias Bethge, Michael Black, Felix Wichmann * -- Dr. Hendrikje Nienborg Werner Reichardt Centre for Integrative Neuroscience Universitaet Tuebingen Tel: +49 (0) 7071- 29 88846 Fax: +49 (0) 7071- 29 25008 email:hendrikje.nienborg@cin.uni-tuebingen.de

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PhD position on embodied cognition, Peter König lab.
by Peter König March 11, 2019

March 11, 2019

A PhD position 75% E 13 TV-L for 3 years is available in my lab (Peter König) at the University Osnabrück, Germany: Perform EEG recordings and eye tracking in the real and virtual worlds to explore embodied cognition. Example data are at https://www.dropbox.com/s/3ax3d2pad7pd6yv/EEG_Eyetracking_dataset_hq%20%28C… The red dot indicates the gaze position, the audio concurrent alpha activity. For full information see: https://www.uni-osnabrueck.de/universitaet/stellenangebote/stellenangebote_… … or drop a line. Best, Peter König -- Prof. Dr. Peter König, Institute of Cognitive Science, University Osnabrück

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Open position: HPC-Coordinator at the Campus Institute Dynamics of Biological Networks
by von Behren, Christina March 11, 2019

March 11, 2019

We would like to draw your attention to the job vacancy below: GWDG is looking for a HPC-Coordinator (m/w/d) for the inter-faculty Campus Institute "Dynamics of Biological Networks". The position with a regular weekly working time of 39 hours should be filled as soon as possible. Remuneration is based on the collective agreement for the civil service (Bund); depending on the qualification, a classification up to the pay grade TVöD E 14 is possible. The position is initially limited to two years. By mutual agreement, it may become open-ended after this time. The Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG) is a joint facility of the University of Göttingen Foundation under Public Law and the Max Planck Society. It functions as the data and IT competence center for the Max Planck Society and the University of Göttingen. Its scientific research tasks lie in the field of applied computer science. Additionally, it promotes the training of professionals in information technology. Numerous internationally recognized research institutions of the Göttingen Campus form a leading center in the field of neuroscience in Europe. In addition to the University of Göttingen and the University Medical Center Göttingen, these include three Max Planck Institutes, the European Neuroscience Institute Göttingen (ENI-G), the German Primate Center (DPZ) and the Bernstein Center for Computational Neuroscience (BCCN) Göttingen. The Campus Institute "Dynamics of Biological Networks" (CIDBN) is a newly founded, transdisciplinary institute. It is jointly funded by the University of Göttingen, the University Medical Center Göttingen and the Max Planck Institute for Dynamics and Self-Organization. Its mission is to advance research at the frontiers of mathematics, physics and biological sciences, and to develop mathematical and computational concepts for the analysis of biological networks. Responsibilities * Planning, application, procurement, installation, configuration and administration of HPC clusters and matching storage solutions (file and database servers) * Development of hardware and software concepts for HPC clusters for scientific high-performance computing in the life sciences * Optimization of the hardware and software components used * Monitoring and error analysis on HPC systems and file and database servers * Implementation of the infrastructure requirements imposed by the HPC clusters and storage servers * Participation in HPC projects of the Campus Institute: o Independent development or adaptation and maintenance of scientific software in the HPC area (parallelization, performance analysis and tuning) o Development, installation, configuration and administration of the connection of experiments to the HPC and storage solutions in collaboration with the scientists of the involved research groups * Participation in campus-wide HPC topics Requirements * Completed mathematical and scientific higher education (ideally with doctorate) * Experience with the administration of HPC clusters or other Linux server farms or with the efficient use of HPC systems * Good analytical reasoning * Independent, structured and systematic way of working * Strong team and communication skills * Very good knowledge of German and English (in spoken and written form) Desirable Experience or results in one or more of the following areas: * Publication of HPC-relevant research * Acquisition and management of third-party funds * Development or optimization of high-scaling HPC applications * Experience with GPU programming (OpenCL or Cuda) * Conduct of interdisciplinary life science research projects The GWDG strives for gender equality and diversity and therefore welcomes applications from every background. The GWDG strives to employ more severely disabled people. Applications of severely disabled persons are expressly desired. Have we piqued your interest? Then please send your application until March 20th, 2019 via our online form at https://s-lotus.gwdg.de/gwdgdb/age/20190221.nsf/bewerbung If you have any questions about the vacancy, please do not hesitate to contact the HPC team (E-Mail: hpc-team(a)gwdg.de<mailto:hpc-team@gwdg.de>) or Dr. Ing. Christian Boehme (Tel .: +49 (0)551 201-1839, E-Mail: christian.boehme(a)gwdg.de) For further information and the original vacancy notice, please visit: www.gwdg.de<http://www.gwdg.de> --- Max Planck Institute for Dynamics and Self-Organization Bernstein Centre for Computational Neuroscience Postal address: Max-Planck-Institute for Experimental Medicine Hermann-Rein-Str. 3 37075 Goettingen Germany Email: christina.vonbehren(a)ds.mpg.de<mailto:christina.vonbehren@ds.mpg.de> Tel.: +49-(0)551-39-26674

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MBL Methods in Computational Neuroscience Course - deadline March 19
by Stephen A. Baccus March 10, 2019

March 10, 2019

Applications are open for the Methods in Computational Neuroscience course at the Marine Biology Laboratory in Woods Hole, MA. The course will run from July 29 to August 23, 2019, and the online application form can be found at: https://ws2.mbl.edu/studentapp/studentapp.asp?courseid=MCN The course application deadline is *March 19*. The course covers a range of topics in computational neuroscience including neuronal biophysics, neural coding & information processing, circuit dynamics, learning & memory, motor control, and cognitive processing & disease. In addition, numerous tutorials and problem sets will cover a broad range of computational and mathematical modeling methods. The course strongly emphasizes the collaboration between theory and experiment in solving neuroscience problems, and lectures will be given by a mixture of theorists and experimentalists. The final weeks of the course are primarily reserved for work on projects that students design in collaboration with the resident faculty. Further information can be found on the MCN website: http://www.mbl.edu/mcn/ 2019 Course Directors: Stephen Baccus, Stanford University Xiao-Jing Wang, New York University 2019 Confirmed Faculty: Larry Abbott, Columbia University Emery Brown, MIT Dmitri Chklovskii, Simons Institute Anne Collins, UC Berkeley Shaul Druckmann, Stanford University Uri Eden, Boston University Bard Ermentrout, U. of Pittsburgh Adrienne Fairhall, U. of Washington Ila Fiete, University of Texas Austin James Fitzgerald, Janelia Res., HHMI Loren Frank, UCSF Michale Fee, MIT Stefano Fusi, Columbia University Surya Ganguli, Stanford University Mark Goldman, UC Davis Kenneth Harris, U. College London James Haxby, Dartmouth University Nancy Kopell, Boston University Eve Marder, Brandeis University Bartlett Mel, Univ. of Southern California Jonathan Pillow, Princeton University David Redish, U. Minnesota Terry Sejnowski, Salk Institute Mike Shadlen, Columbia U. Reza Shadmehr, Johns Hopkins Univ. Sara Solla, Northwestern University Haim Sompolinsky, Hebrew University Klaas Stephan, Univ. of Zurich Josh Tenenbaum, MIT Nao Uchida, Harvard University Greg Wayne, DeepMind Hongkui Zeng, Allen Institute

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NEST Conference 2019 --- Abstract submission and registration open
by Hans Ekkehard Plesser March 8, 2019

March 8, 2019

Dear colleagues! It is a great pleasure to invite everyone interested in large-scale neural network simulation, particularly current and potential users of NEST, the Neural Simulation Tool (http://www.nest-simulator.org) to the NEST Conference 2019 to be held on 24/25 June 2019 (Monday/Tuesday, lunch to afternoon) on the beautiful campus of the Norwegian University of Life Sciences at Ås, 30km south of Oslo. The NEST Conference provides an opportunity for the NEST Community to meet, exchange success stories, swap advice, learn about current developments in and around NEST spiking network simulation and its application. We would like you to share your experiences made and results obtained with NEST during the conference. You can do so either by a short oral presentation (10–15 minutes), on a poster, through a demo, or by organizing group work. Important dates • 15 April 2019 — Deadline for abstract submissions • 01 May 2019 — Notification of acceptance • 15 May 2019 — Deadline for registration For details, abstract submission and registration, please see http://www.nest-initiative.org/conference You are also welcome to contact us at conference(a)nest-initiative.org. We are looking forward to welcoming you to Ås in June! Hans Ekkehard Plesser President The Neural Technology Simulation Initiative http://www.nest-initiative.org -- 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 Home http://arken.nmbu.no/~plesser

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Bernstein Conference 2019 in Berlin: Deadline for Workshop Proposals, March 27!
by Alexandra Stein March 7, 2019

March 7, 2019

The Bernstein Network Computational Neuroscience<https://www.bernstein-network.de/en/start_page> invites proposals for Satellite Workshops directly preceding the Bernstein Conference 2019<http://www.bernstein-conference.de/> in Berlin. ************************************************************** Important Dates: Satellite Workshops: September 17 - 18, 2019 Main Bernstein Conference: September 18 - 20, 2019 Deadline for Satellite Workshop proposal submission: March 27, 2019, 3 pm CET (Deadline will not be extended!) Notification of Workshop acceptance: April 2019 Special in 2019: The Conference on Cognitive Computational Neuroscience (CCN)<https://ccneuro.org/> will be held back-to back with the Bernstein Conference on September 13 - 16. ************************************************************** The Bernstein Conference is the largest annual single-track Computational Neuroscience conference in Europe. It hosts pre-conference workshops which provide a stage to discuss topical research questions, novel scientific approaches and challenges in Computational Neuroscience and related fields. Workshops addressing controversial issues, open problems, and comparisons of competing approaches are encouraged. The format should be designed to foster debate, rather than a mere series of talks. The selection criteria for workshop proposals will include scientific excellence, topical relevance and gender diversity. Satellite Workshop Schedule: September 17, 2019, 2:00 pm - 6:30 pm September 18, 2019, 8:30 am – 12:30 pm Workshop proposals are welcome for either half-day or full-day workshops. Workshop Costs – Financial Support: All organizers and speakers of accepted workshops will receive a waiver for the workshop fee. Organizers of accepted workshops additionally receive a waiver for the main conference. Coffee break catering will be provided. Up to 10 selected workshops can receive financial support up to 1.500,00 € each. Instructions for Workshop Proposal Preparation: Workshop proposals must contain: 1) Workshop Title 2) Concise description of workshop topic 3) List of potential speakers indicating speaker commitment 4) Optional: a comment on how the organizers plan to achieve gender diversity among speakers Please use the Workshop Proposal Form that can be downloaded here: www.bernstein-network.de/en/bernstein-conference/2019/satellite-workshops<http://www.bernstein-network.de/en/bernstein-conference/2019/satellite-work…> Deadline for submission of Workshop Proposals: March 27, 2019, 3 pm CET (Deadline will not be extended!) For further information about the conference, please visit the conference website www.bernstein-conference.de<http://www.bernstein-conference.de> Contact: bernstein.conference(at)fz-juelich.de We are looking forward to seeing you in Berlin! Workshop Selection Committee: Tatjana Tchumatchenko (Workshop Chair) Tim Vogels (Workshop Vice Chair) Danielle Bassett Alexander Borst Alain Destexhe Tim Gollisch Máté Lengyel Stephanie Palmer Elad Schneidman (Program Vice Chair) Susanne Schreiber (Program Chair) Terry Sejnowski Sara Solla Henning Sprekeler (Conference Chair and Host) Gina Turrigiano -- Dr. Alexandra Stein Head of Bernstein Coordination Site Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum Jülich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9583 mobile: (+49) 0151 67114645 mail: a.stein(a)fz-juelich.de<mailto:a.stein@fz-juelich.de> web: www.bernstein-network.de<http://www.bernstein-network.de> Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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SUMMER SCHOOL ON COGNITIVE FOUNDATIONS OF ECONOMIC BEHAVIOR
by Rava A. da Silveira March 7, 2019

March 7, 2019

*SUMMER SCHOOL ON* *COGNITIVE FOUNDATIONS OF ECONOMIC BEHAVIOR* *FRI June 28 to SUN July 7, 2019* *Sponsored by the NOMIS Foundation and the* *Alfred P. Sloan Foundation* >From the evening of Friday June 28 to noon of Sunday July 7, 2019, the second Summer School on Cognitive Foundations of Economic Behavior will take place in Vitznau, Lake Lucerne, Switzerland ( http://www.floraalpina.ch/en/hotel.html) The last 2.5 days of the Summer School consist of a workshop in which leading international researchers will present their recent findings in this area of research. The purpose of the first six days of the Summer School is to introduce graduate students and beginning researchers in economics and related disciplines to findings and methods from economics, psychology and neuroscience that allow features of human attention and perception to be taken into account when modeling economic behavior. The Summer School is part of an initiative sponsored by the Alfred P. Sloan Foundation and the NOMIS Foundation, pursuing the idea that many well-documented but seemingly disparate behavioral phenomena – such as framing effects, anchoring or base-rate neglect, as well as hyperbolic discounting, probability weighting or overconfidence – may have a unified explanation in terms of imperfect attention and perceptual error. The co-organizers and principal faculty of the Summer Institute are Andrew Caplin (NYU), Ernst Fehr (University of Zurich), and Michael Woodford (Columbia University), who will be in attendance for the full program. Teaching faculty will also include Peter Dayan (Max Planck Institute for Biological Cybernetics, Tubingen), Sam Gershman (Harvard), George Loewenstein (Carnegie Mellon), Weiji Ma (NYU), Antonio Rangel (CalTech), Rava Azeredo da Silveira (ENS, Paris), Andrei Shleifer (Harvard), Dmitry Taubinsky (UC Berkeley), and Angela Yu (UC San Diego). The program will include lectures and tutorials about economic models of biases resulting from inattention, imperfect memory and other forms of cognitive imprecision, as well as the psychological and neuroscientific foundations and empirical measurement of imperfect attention and memory. The sessions will outline evidence, principles, empirical methods and formal models that enable the examination of the consequences of imperfect attention and perception for important individual behaviors and market outcomes. The program will also provide opportunities for students to discuss their ideas and research with the organizers, visiting faculty, and other participants. Participation is restricted to Ph.D. students who by July 2019 will have completed at least one year of their doctoral program, postdoctoral researchers, and to faculty who have only started their faculty position in the fall of 2018 or later. Candidates in related disciplines (e.g., psychology, neuroscience, computational science) who have a strong interest and advanced training in formal economics are also eligible. Most participant costs during the workshop, including housing and most meals, will be covered, and a capped travel stipend (covering most but not all of anticipated travel costs) will also be provided. About twenty- five participants will be admitted. Participants will be required to complete some assigned readings in advance, and to fully attend all sessions of the program. There is no application form or program information beyond this announcement. (For interested students, schedules of previous conferences organized by the Sloan-Nomis program will give an indication of the kind of topics to be discussed, and can be found at https://wp.nyu.edu/sloan_nomis_project/home/events/.) To apply, send (i) a curriculum vitae, (ii) a statement (maximum three pages) describing any current research, and the general nature of your interest in the cognitive foundations of economics, (iii) an (unofficial) course/grade transcript, and (iv) two letters of recommendation from faculty advisors. All applications must include an e-mail and an alternative means of contact (e.g., phone number). Send your curriculum vita, statement, and course/grade transcript (all collapsed into a *single *pdf file) to Sloan-Nomis-Summerschool(a)econ.uzh.ch. Ask your recommenders to send their letters to the same email address, with the following subject line: *Sloan-Nomis recommendation letter for APPLICANT NAME. *We anticipate a large pool of highly qualified applicants and to make final decisions quickly, so applications and letters must be received by the deadline. *Complete applications, including letters of recommendation, must be received by Sunday, March 17. *We will notify applicants solely through e-mail, by Monday, April 1, and will ask participants to confirm their participation soon thereafter. Inquiries can be sent to Sloan-Nomis-Summerschool(a)econ.uzh.ch.

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Neuromodulation of Neural Microcircuits NM² conference, 24-26 May 2019
by Srikanth Ramaswamy March 6, 2019

March 6, 2019

Dear All, We are delighted to announce the second Neuromodulation of Neural Microcircuits NM² conference on May 24 – 26, in Champéry, Switzerland. Click here for the Conference website<https://nm2.epfl.ch/> The overarching goal of the second NM² Conference is to provide a unifying and mechanistic view by which an ever-increasing number of neuromodulators, including monoamines, and peptides – the master switches – control genes, proteins, neurons and glia, dendrites, synapses, and emergent states in neural microcircuits across different brain regions in health and disease. Building such a mechanistic view of neuromodulation encounters several fundamental challenges to consider: 1. How do sensory signals, internal brain states, and computations in microcircuits, trigger the release of specific neuromodulators? 2. How do neuronal assemblies and larger brain circuits respond to neuromodulators? 3. How do neuromodulators shape synaptic plasticity and brain states? To this end, the NM² Conference will bring together researchers to bridge a variety of disciplines using state-of-the-art techniques in different brain regions, towards the common goal of understanding the mechanisms and principles of neuromodulation and addressing the challenges above. Our fundamental objective is to organize a dynamic conference that will highlight an up-to-date view of the neuromodulation of brain states, establish future directions, and attract new talent to drive forward this important field. REGISTRATION To register for the Conference, please click here<https://nm2.epfl.ch/registration/> Please register as soon as possible; only a limited number of seats are available. POSTER ABSTRACTS When submitting an abstract PhD students and Postdocs are encouraged to apply for Blue Brain travel awards to participate in the NM2 Conference. Awards, which are only open to those who submit abstracts, include registration for the Conference (including accommodation and full board), and travel support. Some of the submitted abstracts will be selected for flash talks. Please feel free to contact Dace Stiebrina<mailto:mailto:dace.stiebrina@epfl.ch> should you have any questions concerning the conference. Looking forward to seeing many of you there! Best, Srikanth ------------ Dr. Srikanth Ramaswamy Senior Scientist - Neuromodulation of Cells and Circuits EPFL - Blue Brain Project Campus Biotech Chemin des Mines 9 CH 1202, Geneva, Tel: +41 21 693 9633 Fax: +41 21 693 5350 www: people.epfl.ch/srikanth.ramaswamy<http://people.epfl.ch/srikanth.ramaswamy>

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Computational Neuroscience Faculty position at Bristol University
by Conor Houghton March 6, 2019

March 6, 2019

In the Department of Computer Science at the University of Bristol we are seeking to appoint a faculty member in Computational Neuroscience and Machine Learning at Lecturer or Senior Lecturer level, comparable to Assistant or Associate Professorship level. http://bit.ly/Bristol_neuro_job Candidates are sought with expertise in computational neuroscience or computational cognitive science and preference will be given to candidates whose research interests emphasise the parts of our discipline that are informed by, or relate, to machine learning. The University of Bristol is a significant centre for both computational neuroscience and machine learning and a leader in experimental, clinical and cognitive neuroscience. There is a robust tradition of collaboration between experimental and computational neuroscientists. Bristol itself is a friendly green coastal city with a rich and lively cultural scene and has consistently been voted one of the best places to live in the UK. You are welcome to contact one of us (conor.houghton||cian.odonnell||rui.costa)(a)bristol.ac.uk, or our head of department Seth Bullock, seth.bullock(a)bristol.ac.uk, to discuss the post informally. The closing date for applications is 31 March, with interviews in late May. We value diversity and are committed to equality of opportunity. All the best Conor Houghton Cian O'Donnell Rui Ponte Costa http://www.bristol.ac.uk/engineering/research/computational-neuroscience/

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The Neuron School - Basic Computational Neuroscience in Alghero - ITALY
by Sergio Solinas March 5, 2019

March 5, 2019

**Apologies for cross-posting** [All details about this school can be found online at The NEURON School Initiative <http://neuronschool.org/>] The Department of Biomedical Sciences at the University of Sassari is excited to announce *the second edition* of *The NEURON School* on Computational Neuroscience. This *one-week* school will introduce to the use of the simulation environment NEURON and related software to build brain models starting from experimental data up to their applications. - The school will provide basic notions on experimental methods to extract and process morphological and electrophysiological data targeting their use to build computational models of single neurons and neuronal networks. - We will explore the best practices to build sound computational models of ion channels and synaptic receptors. - The school will cover how these models can be constructed based on the principles of biological tissue growth in simulations. We welcome applications from all interested full graduate, Ph.D. students, and PostDocs in a variety of fields from biology, neurobiology, and psychology, to physics, engineering, and mathematics, and industry professionals with relevant background. Applicants are expected to have a good background in their discipline, interest in neuroscience, and some knowledge (even basic) of computer programming. *Format*: Morning tutorials will be complemented with Afternoon coding sessions and Evening discussions promoted by Senior Scientists. *Date and Location:* April 29th to May 3rd, 2019 at the Porto Conte Research Center <http://www.portocontericerche.it/en> within the Science and Technology Park of Sardinia and at the Hotel Catalunya <http://www.hotelcatalunya.it/en/>, Alghero - Sardinia (ITALY). Application Deadline: 14th April 2019 Applications: Please visit *http://neuronschool.org/ <http://neuronschool.org/>*, where you can find more information regarding costs, travel, and lodging. If you have any questions about the school or the application process, please contact enrico(a)uniss.it We look forward to your registration and to welcome you in Alghero!

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Full-time research technician at the University of Vienna
by Moritz Grosse-Wentrup March 4, 2019

March 4, 2019

Dear Colleagues: I am setting up a new research group at the University of Vienna and have an open (full time and, following a successful evaluation after one year, open-ended) position for a research technician.Besides general IT-support, the primary task of the research technician would be to maintain our EEG lab. I would appreciate if you could pass on the ad to potential candidates: https://tinyurl.com/y2ll2ak5 Informal inquiries should be sent to moritz.grosse-wentrup(a)univie.ac.at. Thanks, 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

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Fruit Fly Brain Hackathon 2019
by Yiyin Zhou March 4, 2019

March 4, 2019

Fruit Fly Brain Hackathon 2019 FFBH 2019 <http://fruitflybrain.org/hackathons>March 20, 2019Columbia University, New York, NY 10027 The 4th Fruit Fly brain Hackathon (FFBH 2019) will be held on Wednesday, March 20, 2019. The goal of the hackathon is to bring together researchers interested in developing executable models of the fruit fly brain. In this year’s hackathon, we will focus on the FlyBrainLab <http://www.bionet.ee.columbia.edu/research/ffbo/fbl> (FBL), a newly developed interactive computing platform for studying the function of executable circuits constructed from fly brain data. The hackathon is aimed at three main groups of participants: neurobiologists, modelers and software engineers. We welcome researchers working on the fruit fly brain as well as those working on other model organisms to participate and broaden the discussion in the hackathon. The Fruit Fly Brain Hackathon 2019 is organized in conjunction with the Columbia Workshop on Brain Circuit, Memory and Computation <http://fruitflybrain.org/workshops.html> on March 21-22, 2019. Participants of the hackathon are welcome to attend the workshop. Registration is free but all participants have to register <https://ffbh2019.eventbrite.com/>. (*https://ffbh2019.eventbrite.com/ <https://ffbh2019.eventbrite.com/>*). Organizers: Tingkai Liu, Department of Electrical Engineering, Columbia University Mehmet Kerem Turkcan, Department of Electrical Engineering, Columbia University Chung-Heng Yeh, Department of Electrical Engineering, Columbia University Yiyin Zhou, Department of Electrical Engineering, Columbia University More information can be found on the hackathon website: http://fruitflybrain.org/hackathons ------------------------------------------------------------------------------ Best Regards, Yiyin Zhou, on behalf of the organizers -- Yiyin Zhou Associate Research Scientist Bionet Group: www.bionet.ee.columbia.edu Department of Electrical Engineering Columbia University

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12ᵗʰ Advanced Scientific Programming in Python in Camerino, Italy, 2—7 September, 2019
by Jakob Jordan March 4, 2019

March 4, 2019

12ᵗʰ Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the University of Camerino https://python.g-node.org Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or R is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. Date & Location =============== 2–7 September, 2019. Camerino, Italy. Application =========== You can apply online: https://python.g-node.org/wiki/applications Application deadline: 23:59 UTC, 26 May, 2019. There will be no deadline extension, so be sure to apply on time. Be sure to read the FAQ before applying: https://python.g-node.org/wiki/faq Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Program ======= • Version control with git and how to contribute to open source projects with GitHub • Tidy data analysis and visualization • Testing and debugging scientific code • Advanced NumPy • Organizing, documenting, and distributing scientific code • Advanced scientific Python: context managers and generators • Writing parallel applications in Python • Profiling and speeding up scientific code with Cython and numba • Programming in teams Faculty ======= • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Jenni Rinker, Department of Wind Energy, Technical University of Denmark, Roskilde, Denmark • Juan Nunez-Iglesias, Bioimage Analysis Research Fellow, Monash University, Australia • Nelle Varoquaux, Department of Statistics, UC Berkeley, CA, USA • Pamela Hathway, Neural Reckoning, Imperial College London, UK • Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node), Germany: • Tiziano Zito, Department of Psychology, Humboldt-Universität zu Berlin, Germany • Caterina Buizza, Personal Robotics Lab, Imperial College London, UK • Zbigniew Jędrzejewski-Szmek, Red Hat Inc., Warsaw, Poland • Jakob Jordan, Department of Physiology, University of Bern, Switzerland For the University of Camerino, Italy: • Barbara Re, Computer Science Division, School of Science and Technology, University of Camerino Italy Website: https://python.g-node.org Contact: python-info(a)g-node.org

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Final Program of the Columbia Workshop on Brain Circuits, Memory and Computation, March 21-22, 2019
by Aurel A. Lazar March 3, 2019

March 3, 2019

http://fruitflybrain.org/workshops.html Aurel http://www.bionet.ee.columbia.edu

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Discovering dynamic functional networks in the human neonatal brain with electric source imaging
by Steve Mehrkanoon March 2, 2019

March 2, 2019

Dear Colleagues, We announce new findings in the human brain dynamics: Title: Discovering dynamic functional networks in the human neonatal brain with electric source imaging <http://biorxiv.org/cgi/content/short/545616v1?rss=1> https://www.biorxiv.org/content/10.1101/545616v1?rss=1 Kind regards Steve Dr Steve Mehrkanoon Senior Mathematical Neuroscientist, The University of Queensland Advance Queensland Research Fellow, Home: http://researchers.uq.edu.au/researcher/14135 [UQEmailBannerGeneric]

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EXTENSION: CNS*2019 Call for Abstracts
by Sharon Crook March 1, 2019

March 1, 2019

The abstract submission deadline for CNS*2019 has been extended to Monday March 11, 2019, 11:00 pm Pacific Time. Please remember to renew your OCNS membership and register for the meeting prior to abstract submission. CNS*2019 Call for Abstracts Organization for Computational Neurosciences (OCNS) 28th Annual Meeting Barcelona, Catalonia, Spain July 13-17, 2019 Local Organizers: Alex Roxin, Klaus Wimmer, Albert Compte, Jaime de la Rocha, Gemma Huguet Ramon The main meeting begins the evening of Saturday July 13 and runs through Tuesday July 16. It will be preceded by a day of tutorials (Saturday July 13) and followed by workshops (Tuesday July 16 mixed with the main meeting and Wednesday July 17 workshops only). Invited Keynote Speakers: Ed Bullmore, University of Cambridge Kenji Doya, Okinawa Institute for Science and Technology Mavi Sanchez-Vives, Universitat de Barcelona Ila Fiete, University of Texas Note that one of the authors must register as sponsoring author for the main meeting before abstract submission. In case the abstract is not accepted for presentation, the registration fee will be refunded. Submitted abstracts are used for creating the program and for publication. Please follow the formatting guidelines on the submission site. Travel awards are available for student and postdoc members of OCNS. Please apply using the checkbox on the abstract submission form and note that an extended abstract is required when applying for a travel award or oral presentation format. Registration: https://ocns.memberclicks.net/index.php?option=com_mc&view=mc&mcid=form_259… Abstract Submission: https://www.cnsorg.org/cns-2019-abstract-submission For up-to-date conference information, please visit: https://www.cnsorg.org/cns-2019-quick -------------------------------------------------------------------------------------------------------------------------------- OCNS is the international member-based society for computational neuroscientists. Become a member to be eligible for travel awards and more. Visit our website for more information: http://www.cnsorg.org

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Postdoctoral position in cortical circuit modelling (Krembil Centre for Neuroinformatics)
by Etay Hay March 1, 2019

March 1, 2019

Postdoctoral position in cortical circuit modelling (Krembil Centre for Neuroinformatics) Hay lab, at Krembil Centre for Neuroinformatics and the University of Toronto, is currently accepting applications for a postdoctoral position in using computational models to study the effects of cellular mechanisms on cortical circuit activity and brain recordings, in health and disease. We will simulate biophysical models of cortical circuits, constrained with data from rodents and humans, to study the effect of synaptic connectivity and dendritic ion channels on cortical circuit activity and processing. In turn, we will characterize the predicted signatures of the effects in measurable signals of cortical circuit activity, which will include the spatio-temporal propagation of neuronal spiking activity, LFP in different cortical layers, and EEG. The position will be up to 3 years, renewed yearly. Applicants should have strong and relevant peer-reviewed publications, particularly modelling studies of spiking neuronal networks (conductance-based or integrate-and-fire), and experience in using NEURON and Matlab. Hay lab is located at Krembil Centre for Neuroinformatics (KCNI), which is part of the Centre for Addiction and Mental Health (CAMH). The centre is fully affiliated with the University of Toronto, and is situated at the downtown campus. Neuroscience research at KCNI offers a unique environment that is both specialized and collaborative, spanning computational genomics, brain circuits, whole-brain networks, and behavior. Interested applicants should send their CV to Dr. Etay Hay, at: etay.hay(a)camh.ca Etay Hay, PhD Independent Scientist, Krembil Centre for Neuroinformatics, CAMH Assistant Professor, Department of Psychiatry, University of Toronto www.haybrainlab.com CONFIDENTIALITY NOTICE: This e-mail message, including any attachments, is for the sole use of the intended recipient(s) and may contain confidential and privileged information. Any unauthorized review, use, disclosure or distribution is prohibited. If you are not the intended recipient, please contact the sender by reply e-mail and destroy all copies of the original message. AVIS DE CONFIDENTIALITÉ : Ce message électronique, ainsi que tout fichier qui y est joint, est reserve à l'usage exclusif du destinataire visé et peut contenir des renseignements confidentiels et privilégiés. Toute lecture, utilisation, divulgation ou distribution non autorisée est interdite. Si vous n'êtes pas le destinataire visé, veuillez en aviser l'expéditeur par retour de courriel et détruire toutes les copies du message original.

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Postdoctoral positions in computational neuroscience and artificial intelligence
by Maxim Bazhenov March 1, 2019

March 1, 2019

Applications are invited for post-doctoral research positions in the laboratory of Dr. Maxim Bazhenov at the University of California, San Diego to study memory and learning and to develop neuroscience inspired computer algorithms capable of continual learning and adapting to the novel situations and contexts.This project involves close collaboration with the experimental laboratory of Dr. Bruce McNaughton (UC Irvine). The ultimate goal of the work is to advance the knowledge of how human and animal brains learn from experience and apply these principles to the artificial systems to enable continuous learning without catastrophic forgetting. The successful candidate will collaborate with a team of researchers to design neural network models of dynamic interactions between the hippocampus and neocortex during learning and memory consolidation in sleep and awake based on experimental data. These models will be used to derive learning principles that can be combined with advances in artificial intelligence and machine learning. An ideal candidate should have experience in computational/theoretical neuroscience and a basic knowledge of machine learning, or, alternatively, experience in machine learning algorithms and some basic knowledge of neuroscience. Experience with hierarchical learning, reinforcement learning, and/or goal-directed decision-making would be particularly helpful. The University of California offers excellent benefits. Salary is based on research experience. Applicants should send a brief statement of research interests, a CV and the names of three references to Maxim Bazhenov at mbazhenov(a)ucsd.edu -- Maxim Bazhenov, Ph.D. Professor, Department of Medicine, Neurosciences Graduate Program, UCSD, School of Medicine http://www.bazhlab.ucsd.edu/

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PhD fellowships in Neuroscience at Unipd
by Samir Suweis March 1, 2019

March 1, 2019

The Padova Neuroscience Center (http://pnc.unipd.it/ <http://pnc.unipd.it/admission/>) is delighted to announce its second call for at least 10 fully funded PhD fellowships in Neuroscience at the University of Padova. The multidisciplinary PhD program includes research lines and methods from Imaging, Cellular, Cognitive, Translational and Computational Neuroscience. The time-frame for the application is 8th of April-10th of May 2019 (at 1 pm). The details for the application will be published on the 8th of April at: http://pnc.unipd.it/admission/ <http://pnc.unipd.it/admission/>. Stay tuned! Interested candidate can also contact me suweis(a)pd.infn.it <mailto:suweis@pd.infn.it> for further information. Please forward this message to collaborators and students. Thanks **** Padova University is one of the oldest and most prestigious universities in Europe - established in 1222. The University of Padova invests significantly in research activities and projects. Padova, is a small and beautiful town, shaped around the University. Low living costs, great food, and you can bike everywhere! Samir Suweis, Ph.D. https://impactstory.org/u/SamirSuweis <https://impactstory.org/u/SamirSuweis> @SamirSuweis Research Scientist (RTDa) LIPh Lab, Physics Department, University of Padova Tel: +39 049 827 71 74 www.pd.infn.it/~maritan/people/Samir/samir.html

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Workshop: Structure and disorder: From random connections to functional circuits, July 10-12 2019, Göttingen
by Rainer Engelken March 1, 2019

March 1, 2019

Dear Colleagues, We are pleased to draw your attention to the fourth edition of the workshop on advanced methods in theoretical neuroscience. The programme is intended for the exchange of new approaches and methods, and presentations that will spark new ideas for future developments. Please see the details below or at https://www.neuro-theory.org/ Best regards, Viola Priesemann, Rainer Engelken, Farzad Farkhooi and Jonathan Kadmon *Structure and disorder: From random connections to functional circuits* July 10-12, 2019, Göttingen (Tutorials: July 9th) https://www.neuro-theory.org/ This workshop will focus on the inherent difficulties of studying the underlying dynamics that guide the synaptic organization in neuronal circuits. The forum is intended for researchers to not only share results but also survey and discuss recent advances in methods and to pinpoint limitations of the existing theoretical tools. These exchanges will be complemented by poster presentations from students and postdocs. A day of tutorial sessions will be held prior to the main meeting, covering some of the background and methods discussed in the workshop. ** Confirmed speakers ** Yashar Ahmadian (Oregon) Nicolas Brunel (Duke) Carson C Chow (NIH) Carina Curto (Penn State) Julijana Gjorgjieva (MPI Brain, Frankfurt) Valerio Mante (University of Zurich) Francesca Mastrogiuseppe (UCL-Gatsby Unit) Raoul Martin Memmesheimer (Universität Bonn) Andreas Neef (Göttingen) Cengiz Pehlevan (Harvard) Kanaka Rajan (Mount Sinai) Maria V. Sanchez-Vives (Barcelona) Silvia Scarpetta (Salerno) Elad Schneidman (Weizmann Institute) Jordi Soriano (Barcelona) Tali Tishbi (Hebrew University) ** Registration ** Accepting application through April 30. Space is limited. Preference will be given to presenting authors (posters) and by order of application so early registration is encouraged. A small fee of 50 Euro (+ 20 Euros for tutorials) will be collected upon confirmation. Apply now <https://goo.gl/forms/JEJWuWO1wnutYwJh1> ** Tutorials ** The tutorials will be held prior to the main meeting on July 9, 2019. The tutorials aim to introduce some mathematical techniques relevant to the workshop talks. ** Poster submission/short talks ** Poster submissions are highly encouraged. Presenting authors will receive higher priority for acceptance. Some abstracts may be selected for short or full talks in the workshop. Organizers: Viola Priesemann (MPI for Dynamics and Self-Organization, Goettingen) Rainer Engelken (Columbia University) Farzad Farkhooi (Technische Universität Berlin) Jonathan Kadmon (Stanford University) -- ************************************************************* Rainer Engelken Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University m: 9178648856 pgp fingerprint: F94E 83D9 77AB 76F6 15E9 1503 3AD6 FCDC 410B 14F2 re2365(a)columbia.edu ctn.zuckermaninstitute.columbia.edu *************************************************************

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Kosice Neuroscience Workshop, 3 - 5 June, 2019
by Norbert Kopco Feb. 28, 2019

Feb. 28, 2019

SAVE THE DATE! The 4th Workshop on */"Cognitive neuroscience of auditory and cross-modal perception"/* 3 - 5 June 2019 Kosice, Slovakia http://pcl.upjs.sk/workshop2019 *Objectives* ·This workshop will include research talks (and introductory lectures) on a range of topics related to the *neural processes of auditory, visual and cross-modal perception*. ·The main focus of this year’s workshop will be on *adaptation, learning and training in spatial perception and cognition*. ·The talks will illustrate the *multidisciplinary character of cognitive neuroscience research*, covering behavioral, neuroimaging, and modeling approaches, as well as applications of the research in auditory prosthetic devices. ·The workshop targets *early-stage and advanced students and young researchers*. It will provide ample opportunities for direct interactions between the lecturers and the attendees. The workshop will follow-up on our previous workshops organized in 2014, 2015 and 2017 <http://pcl.upjs.sk/workshop>. *Format* 1/2-day sessions, including invited talks, contributed talks, and posters, focusing on the topics of *Adaptation*,*Learning and training*, *Auditory and cross-modal perception (general)*, and *Vision and other topics in computational and cognitive neuroscience*. Non-scientific program (outings to tourist destinations near Kosice) will take place on the day before and day after the workshop. *Venue* Lecture hall 2.17T,Faculty of Science / Technicom building, P. J. Šafárik University, Jesenná 5, 04001 Košice Slovakia <https://goo.gl/maps/6m3GC3iJNeA2>. *Organizers* Norbert Kopco, P. J. Safarik University in Košice <https://pcl.upjs.sk/noro/> Erick Gallun, National Center for Rehabilitative Auditory Research, Portland and OHSU <http://www.ncrar.research.va.gov/AboutUs/Staff/gallun.asp>Piotr Majdak, Austrian Academy of Science, Vienna <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=56:…> Aaron Seitz, University of California, Riverside <http://faculty.ucr.edu/%7Easeitz/> Invited talks and talks by ALT consortium (tentative): * *Jana Basnakova*, Slovak Academy of Sciences <https://www.sav.sk/?lang=sk&doc=user-org-user&user_no=5398&lang_change=en> ** * *Virginia Best <http://cns.bu.edu/~ginbest/>*, Boston University <http://cns.bu.edu/~ginbest/> * *Lauren Calandruccio, <http://caslabs.case.edu/sparlab/>*Case Western Reserve University, Ohio <http://caslabs.case.edu/sparlab/> * *John Culling, <http://cullinglab.org/>*Cardiff University <http://cullinglab.org/> * *Inyong Choi, <https://clas.uiowa.edu/comsci/people/inyong-choi>*The University of IOWA – “Adapting to simultaneous electric and acoustic stimulation for word-in-noise recognition in listeners with single-sided deafness.” <https://clas.uiowa.edu/comsci/people/inyong-choi> * *Erick Gallun <http://www.ncrar.research.va.gov/AboutUs/Staff/gallun.asp>*, National Center for Rehabilitative Auditory Research, Portland and OHSU <http://www.ncrar.research.va.gov/AboutUs/Staff/gallun.asp> * *Catarina Hiipakka, <https://www.aalto.fi/people/catarina-macedo-mendonca-hiipakka>* Alto University, Finland – “Changes in auditory space following audiovisual experience.” <https://www.aalto.fi/people/catarina-macedo-mendonca-hiipakka> * *Andrej Kral, <http://neuroprostheses.com/>*Hannover Medical School, Germany <http://neuroprostheses.com/> * *Norbert Kopco, <https://pcl.upjs.sk/noro/>*Safarik University, Slovakia <https://pcl.upjs.sk/noro/> * *Bernhard Laback <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=54&…>*, Austrian Academy of Sciences <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=54&…> * *Petr Marsalek <http://www.karlin.mff.cuni.cz/~marsalek/>*, Charles University of Prague and Max Planck Institute for the Physics of Complex Systems <http://www.karlin.mff.cuni.cz/~marsalek/> * *Piotr Majdak <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=56:…>*, Austrian Academy of Sciences <https://www.kfs.oeaw.ac.at/index.php?option=com_content&view=article&id=56:…> * *John van Opstal, <https://www.ru.nl/english/people/opstal-a-van/>*Radbound University, Netherlands – “Perceived Target Range Shapes Human Sound-Localisation Behaviour” <https://www.ru.nl/english/people/opstal-a-van/> * *Josefa Oberem, <http://www.akustik.rwth-aachen.de/cms/Technische-Akustik/Das-Institut/Team/…>*RWTH Aachen University, – “Individual dynamic binaural reproduction in complex acoustic scenes: Understanding mechanisms in auditory attention.” <http://www.akustik.rwth-aachen.de/cms/Technische-Akustik/Das-Institut/Team/…> * *Chris Stecker, <http://spacelab.spatialhearing.org/>*Vanderbilt University Medical Center <http://spacelab.spatialhearing.org/> * *Dan Sanes, <http://www.cns.nyu.edu/corefaculty/Sanes.php>*New York University <http://www.cns.nyu.edu/corefaculty/Sanes.php> * *Nelli Salminen, <https://people.aalto.fi/nelli.salminen>*Alto University, Finland <https://people.aalto.fi/nelli.salminen> * *Aaron Seitz <http://faculty.ucr.edu/~aseitz/>*, University of California, Riverside <http://faculty.ucr.edu/~aseitz/> * *Filip Smolik, *Czech Academy of Sciences <http://www.psu.cas.cz/people-contacts/cv/smolik/index.html> * *Brigitta Toth, <http://www.ttk.mta.hu/en/phonebook/brigitta-toth>*Hungarian Academy of Sciences <http://www.ttk.mta.hu/en/phonebook/brigitta-toth> * *Bev Wright,* Northwestern University <https://communication.northwestern.edu/faculty/BeverlyWright> * more TBA *Travel, accommodation, visitor information* see workshop webpage: http://pcl.upjs.sk/workshop2019/ *Registration* The workshop is open to all interested students/scientists. Registration is free of charge but required. To register, please send an email to kogneuro(a)gmail.com stating your name and affiliation and the dates on which you are planning to attend. All accepted abstracts will be published on the workshop website. No proceedings will be published. In case you would like to have a presentation please send us an abstract (up to 200 words; also indicate whether you prefer poster or oral presentation) no later than May 10, 2019. This workshop is supported by theEU H2020-MSCA-RISE-2015 project #691229 <http://pcl.upjs.sk/grants/alt/>.

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Postdoctoral opening at Brandeis University
by Thomas Fai Feb. 28, 2019

Feb. 28, 2019

Dear Colleagues, There is a postdoctoral position available in my group in the Mathematics department at Brandeis University, for a research project involving the modeling and numerical simulation of membrane-bound vesicle transport inside of neurons. The position is for up to 2 years and is funded by an NIH postdoc training grant in Neuroscience. Funding is limited to US citizens or permanent residents. Candidates should be available to start by June 2019. Please circulate this advertisement (details below) to any potential candidates. For further info, contact me directly at tfai(a)brandeis.edu. Thank you, Thomas Fai ==================================================== A postdoctoral position is available at Brandeis University to work on mathematical modeling and simulation of membrane-bound vesicle transport inside of neurons (hosted by Thomas Fai). Mathematical techniques include PDE-based models of cell mechanics and fluid dynamics, numerical methods for fluid-structure interaction, dynamical systems, and asymptotics. Potential research topics include building stochastic models to assess the importance of noise, using image processing of experimental data to characterize the behavior in real dendritic spine geometries, and exploring the mechanisms of synaptic strengthening and atrophy. The postdoc will join the Mathematics Department at Brandeis University ( http://www.brandeis.edu/departments/mathematics/) and have strong ties to the Neuroscience group (http://www.bio.brandeis.edu/) The position, which is for up to 2 years contingent on funding and satisfactory progress, is funded through an NIH postdoc training grant in Neuroscience. Postdocs in this program participate in seminars and journal clubs, obtain mentoring experience, and are expected to apply for external awards during the first year. Funding is limited to US citizens or permanent residents. Candidates should be prepared to start no later than June 16, 2019. Candidates should hold a Ph.D (in neuroscience, mathematics, physics, engineering, or a related topic) by the starting date, have an excellent track record of scholarship, with experience in numerical simulations and interest in learning continuum mechanics and/or fluid dynamics. For further information, contact Thomas Fai (tfai(a)brandeis.edu)

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computational postdoc at CSHL, NY
by Engel, Tatiana Feb. 28, 2019

Feb. 28, 2019

I am recruiting computational postdoctoral fellows to my lab at the Cold Spring Harbor Laboratory, NY. I will be at Cosyne workshops on March 3-5, and I would be happy to meet with interested candidates to provide more information about our work and answer questions. Please feel free to e-mail me with informal inquiries. The position description is included below. Tatiana Postdoctoral position in Computational Neuroscience, Engel Lab, Cold Spring Harbor Laboratory, NY Position description: The Engel lab in the Department of Neuroscience at Cold Spring Harbor Laboratory invites applications from highly motivated candidates for a postdoctoral position working on the cutting-edge research in computational neuroscience. We are looking for theoretical/computational scientists to work at the exciting interface of systems neuroscience, machine learning, and statistical physics, in close collaboration with experimentalists. The postdoctoral scientist is expected to exhibit resourcefulness and independence, developing computational models of large-scale neural activity recordings with the goal to elucidate neural circuit mechanisms underlying cognitive functions. The candidates should e-mail their application to Tatiana Engel (engel(a)cshl.edu<mailto:engel@cshl.edu> ) as a single pdf file with subject: Postdoc Application. The application file should include: (1) CV with the publication list, (2) a brief description of research interests, (3) contact information for three references. Position requirements: - PhD in physics, mathematics, neuroscience, computer science, engineering or related quantitative discipline - Expertise in scientific programming, e.g., C/C++, Python, Matlab - Track record of publications in scientific journals - Effective communication skills, both written and oral - Dedication and passion for solving hard scientific problems -- Tatiana Engel, PhD Assistant Professor Cold Spring Harbor Laboratory 1 Bungtown Road, Cold Spring Harbor, NY (+1) 408 409 3647

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Modeller's Workshop for the Brain Dynamics Toolbox
by Stewart Heitmann Feb. 28, 2019

Feb. 28, 2019

Modeller’s Workshop for the Brain Dynamics Toolbox Online Course March 1-22, 2019 https://bdtoolbox.org/p/modellers-workshop/ Learn the art of programming differential equations in Matlab using the Brain Dynamics Toolbox. This is an on-line course for modellers who wish to simulate their own dynamical systems using the graphical toolbox. Participants are taken step-by-step through the process of programming differential equations and solving them numerically. Participants learn to program custom systems of Ordinary Differential Equations, Partial Differential Equations, Delay Differential Equations and Stochastic Differential Equations. Example code is provided in all cases. Early-bird enrolments ($100) close Friday 15th March, 2019. Late enrolments ($150) close Friday 22nd March,2019.

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Doctoral position in computational neuroscience, Ruhr Uni. Bochum
by Vinita Samarasinghe Feb. 27, 2019

Feb. 27, 2019

Prof. Sen Cheng, Institute for Neural Computation at the Ruhr University Bochum in Germany, invites applicants for the position of *Doctoral Fellow in Computational Neuroscience*. The work will focus on studying the interaction between neocortex and hippocampus using spiking neural network models. The position is part of the project"Theory of the interplay between sensory cortices and hippocampus in memory formation and retrieval", which is funded by the German Research Foundation as part of the collaborative research center SFB 874. The position is funded from*01.07.2019 - 30.06.2022* (TV-L E13 65%). Candidates should have an excellent university degree in neuroscience, physics, mathematics, engineering or a related field and be eligible to enroll in a relevant PhD program at the Ruhr University. Competence in mathematical modeling and excellent programming skillsare mandatory. Familiarity with computational neuroscience or computational cognitive modeling would be a further asset. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. For further information see www.rub.de/cns <http://www.rub.de/cns>. To apply please send a statement of your motivation and research interests, academic transcripts, and a complete CV to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de> in a single PDF file. Please, also request from at least two academic referees that they send letters of reference directly to the same email address. The *deadline for applications is 31.03.2019*. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. https://www.ini.rub.de/the_institute/jobs/doctoral_position_in_computationa… -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Mon. - Fri. 8-11

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Cajal Course in Computational Neuroscience 2019
by Macke, Jakob Feb. 26, 2019

Feb. 26, 2019

CAJAL COURSE IN COMPUTATIONAL NEUROSCIENCE 11 August - 31 August 2019, Champalimaud Centre for the Unknown<http://www.fchampalimaud.org/en/the-foundation/champalimaud-centre-unknown/>, Portugal http://www.cccn.pt Applications deadline: 11 March 2019 Course directors: Brent Doiron<https://www.mathematics.pitt.edu/people/brent-doiron> (University of Pittsburgh, USA) Maria Geffen<https://www.med.upenn.edu/apps/faculty/index.php/g329/p8404062> (University of Pennsylvania,USA) Jako<http://www.mackelab.org/people/>b Macke<http://www.cne.ei.tum.de> (Technical University of Munich, Germany) Joe Paton<http://neuro.fchampalimaud.org/en/person/115/> (Champalimaud Research, Portugal) Confirmed faculty: Matt Botvinick<https://www.google.com/url?q=https%3A%2F%2Fdeepmind.com%2F&sa=D&sntz=1&usg=…>, Google Deepmind, UK Claudia Clopath<http://www.google.com/url?q=http%3A%2F%2Fwww.bg.ic.ac.uk%2Fresearch%2Fc.clo…>, Imperial College London, UK Sophie Denèv<https://www.google.com/url?q=https%3A%2F%2Flnc2.dec.ens.fr%2Fen%2Fmember%2F…>e, Institut d'Etudes de la Cognition (IEC), France Julijana Gjorgjieva<http://www.google.com/url?q=http%3A%2F%2Fbrain.mpg.de%2Fresearch%2Fcomputat…>, Max Planck Institute for Brain Research, Germany Pedro J. Gonçalves<http://www.google.com/url?q=http%3A%2F%2Fppjgoncalves.github.io%2F&sa=D&snt…>, Research Center Caeser, an Associate of Max Planck Society, Bonn, Germany Ann Hermundstadt<https://www.google.com/url?q=https%3A%2F%2Fwww.janelia.org%2Flab%2Fhermunds…>, Janelia Research Campus, USA Kate Jeffery<http://www.google.com/url?q=http%3A%2F%2Fwww.ucl.ac.uk%2Fjefferylab&sa=D&sn…>, University College of London, UK Brian Lau<https://www.google.com/url?q=https%3A%2F%2Ficm-institute.org%2Fen%2Fmember%…>, Brain and Spine Institute, France Gilles Laurent<http://www.google.com/url?q=http%3A%2F%2Fbrain.mpg.de%2Fresearch%2Flaurent-…>, Max Planck Institute for Brain Research, Germany Máté Lengyel<http://www.google.com/url?q=http%3A%2F%2Fwww3.eng.cam.ac.uk%2F~ml468%2F&sa=…>, University of Cambridge, UK Jennifer Linden<http://www.google.com/url?q=http%3A%2F%2Fwww.ucl.ac.uk%2Fear%2Fresearch%2Fp…>, UCL Ear Institute, UK Christian Machens<http://www.google.com/url?q=http%3A%2F%2Fmachenslab.org%2F&sa=D&sntz=1&usg=…>, Champalimaud Research, Portugal Ken Miller<https://www.google.com/url?q=https%3A%2F%2Fctn.zuckermaninstitute.columbia.…>, Columbia University, USA Tony Movshon<http://www.google.com/url?q=http%3A%2F%2Fwww.cns.nyu.edu%2Fcorefaculty%2FMo…>, New York University, USA Mala Murthy<http://www.google.com/url?q=http%3A%2F%2Fmala-murthy.squarespace.com%2F&sa=…>, Princeton Neuroscience Institute, USA Maneesh Sahani<http://www.google.com/url?q=http%3A%2F%2Fwww.gatsby.ucl.ac.uk%2F~maneesh%2F…>, Gatsby Computational Neuroscience Unit, UCL, UK Eero Simoncelli<http://www.google.com/url?q=http%3A%2F%2Fwww.cns.nyu.edu%2F~eero%2F&sa=D&sn…>, New York University, USA Tim Vogels<https://www.google.com/url?q=https%3A%2F%2Fwww.dpag.ox.ac.uk%2Fresearch%2Fv…>, University of Oxford, UK About the course: Computational Neuroscience is a rapidly evolving field whose methods and techniques are critical for understanding and modelling the brain, and also for designing and interpreting experiments. Mathematical modeling is an essential tool to cut through the vast complexity of neurobiological systems and their many interacting elements. This three-weeks school teaches the central ideas, methods, and practice of modern computational neuroscience through a combination of lectures and hands-on project work. Each morning is devoted to lectures given by distinguished international faculty on topics across the breadth of experimental and computational neuroscience. During the rest of the day, students work on research projects in teams of 2-3 people under the close supervision of expert tutors and faculty. Research projects will be proposed by faculty before the course, and will include the modeling of neurons, neural systems, and behavior, the analysis of state-of-the-art neural data (behavioral data, multi-electrode recordings, calcium imaging data, connectomics data, etc.), and the development of theories to explain experimental observations. The course is designed for graduate students and postdoctoral fellows from a variety of disciplines, including neuroscience, physics, electrical engineering, computer science, mathematics and psychology. Students are expected to have a keen interest and basic background in neurobiology, a solid foundation in mathematics, as well as some computer experience. A four-day pre-school in mathematics and programming is offered for students that want to catch up on their math and programming skills. A maximum of 24 students will be accepted. Students of any nationality can apply. We specifically encourage applications from researchers who work in the developing world. Stipends are available. Apply here: www.fens.org/Training/CAJAL-programme/CAJAL-courses-2019/CCCN2019/<http://www.fens.org/Training/CAJAL-programme/CAJAL-courses-2019/CCCN2019/> Applications deadline: 11 March 2019 Stipends are available. CAJAL Advanced Neuroscience Training Programme is funded by FENS<http://www.fens.org/>, IBRO<http://ibro.info/> and The Gatsby Foundation<http://www.gatsby.org.uk/>. For more information on the CAJAL programme: www.cajal-training.org<http://www.cajal-training.org/> Contact address: Simone Zacarias, simone.zacarias(a)research.fchampalimaud.org<mailto:simone.zacarias@research.fchampalimaud.org> — Prof. Dr. rer. nat. Jakob Macke Technical University of Munich Department of Electrical and Computer Engineering Professorship for Computational Neuroengineering macke(a)tum.de<mailto:macke@tum.de> www.cne.ei.tum.de<http://www.cne.ei.tum.de> +49 89 289 26902 Office: Alexandra Petelski Alexandra.Petelski(a)tum.de<mailto:Alexandra.Petelski@tum.de> Tel.: +49 (0)89 - 289 26900 Fax: +49 (0)89 - 289 26901

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Masters in Neuroengineering at TU Munich
by Macke, Jakob Feb. 26, 2019

Feb. 26, 2019

Dear colleagues, we are accepting applications for the Masters of Science in Neuroengineering (MSNE) at TU Munich. The ENB Elite Master of Science program in Neuroengineering (MSNE) at the Technische Universität München (TUM) is a two-year graduate program, with an optional Research Excellence Certificate, hosted by the Department of Electrical and Computer Engineering and the Center of Competence on Neuroengineering. Neuroengineering is an emerging interdisciplinary field that aims to translate findings in neuroscience to engineering applications, and to provide engineering solutions for neuroscience research. MSNE provides research-oriented, interdisciplinary and international training in this novel research field, combing experimental and theoretical neuroscience with fundamental training in engineering. Funding by the Elite Network Bavaria is making it possible to ensure small class-sizes, to provide individual mentoring to students, and to emphasize hands-on, research-oriented courses. Core courses in Systems- and Computational Neuroscience, Neural Recording and Interface-Technologies, Neuro-Inspired Engineering, Data-Analysis, Signal Processing and Machine Learning, are supplemented by mentor-approved electives, hands-on practicals, research internships (both in TUM and abroad), early-career training for independent research, and awareness of ethical aspects of Neuroengineering. Final deadline for applications is May 31, 2019. Applications will be reviewed on a ‘rolling’ basis, and we encourage interested students to apply as soon as possible. Detailed information can be found on www.msne.ei.tum.de<http://www.msne.ei.tum.de>, and enquiries should be directed to msne(a)ei.tum.de<mailto:msne@ei.tum.de>. Best regards, Jakob Macke — Prof. Dr. rer. nat. Jakob Macke Technical University of Munich Department of Electrical and Computer Engineering Professorship for Computational Neuroengineering macke(a)tum.de<mailto:macke@tum.de> www.cne.ei.tum.de<http://www.cne.ei.tum.de> +49 89 289 26902<tel:+49%2089%20289%2026902> Office: Alexandra Petelski Alexandra.Petelski(a)tum.de<mailto:Alexandra.Petelski@tum.de> Tel.: +49 (0)89 - 289 26900<tel:+49%2089%20-%20289%2026900> Fax: +49 (0)89 - 289 26901<tel:+49%2089%20-%20289%2026901>

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postdoc opportunity at MIT: Halassa and Fiete groups
by Ila Fiete Feb. 26, 2019

Feb. 26, 2019

The Halassa lab, in collaboration with the Fiete lab, at MIT’s Department of Brain and Cognitive Sciences is seeking to fill one postdoctoral position at the interface of computational systems neuroscience and theoretical neuroscience. Specifically, the work will involve analyzing neural recordings and constructing neural models of prefrontal circuit operations during decision making, working memory and perceptual inference. The postdoctoral researcher will be involved in joint- and individual-lab projects. The researcher will also have the opportunity to participate in several ongoing department- and institution-wide initiatives such as the Center for Brains Minds and Machines (https://cbmm.mit.edu/) and the MIT Quest for Intelligence (https://quest.mit.edu/) The Halassa lab combines well-controlled, parametric behavioral tasks in multiple species (rodents, tree shrews and marmosets) with high-density multi-site electrophysiological recordings of neural ensembles and circuit-specific optical perturbation tools. Recent studies have revealed novel roles of subcortical structures such as the thalamus in regulating prefrontal activity, and thereby, its engagement in working memory and selective attention (e.g. Schmitt et al., 2017 Nature; Rikhye et al., 2018 Nature Neuroscience). The Fiete lab builds theories and models of neural circuit plasticity, dynamics, coding, and function, and performs quantitative analysis of neural data to test models of circuit function. This is an excellent opportunity for a theoretically inclined candidate who would like to work closely with neural data. An ideal candidate will have some familiarity with neuroscience and a background in a relevant quantitative discipline, such as theoretical or computational neuroscience, physics, engineering, or mathematics. Knowledge and experience in spike train analysis and building neural models are a plus. Please contact Mike Halassa: mhalassa(a)mit.edu<mailto:mhalassa@mit.edu> or Ila Fiete: fiete(a)mit.edu<mailto:fiete@mit.edu>. See also: halassalab.mit.edu<http://halassalab.mit.edu>, http://clm.utexas.edu/fietelab/

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PhD Studentship at Keele University
by Peter Andras Feb. 26, 2019

Feb. 26, 2019

Applications are sought from candidates interested in PhD research in Computer Science. Deadline for applications: 10th March 2019. One particular area of interest is machine learning and computational intelligence. Interested applicants are encouraged to discuss project ideas first informally by email by contacting Professor Peter Andras (p.andras(a)keele.ac.uk <mailto:p.andras@keele.ac.uk> ). Possible projects include: . machine learning applied to medical imaging data (e.g. x-ray, EEG, MRI), bioinformatics data (e.g. virus evolution) or astronomy data (e.g. exoplanet discovery and analysis); . machine learning synthesis of realistic scenarios and interactions in virtual worlds; . complexity and learnability analysis of deep learning architectures; . evolutionary learning of deep networks. The full call is available at: https://www.keele.ac.uk/study/postgraduateresearch/studentships/FNSGS%202019 -04%20studentship%20form.pdf

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Postdoctoral Position in Computational Neuroscience
by Vinita Samarasinghe Feb. 26, 2019

Feb. 26, 2019

Prof. Sen Cheng, Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full-time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience. *The position starts on 1st July 2019 and is funded for *3 years*. This project is part of the newly established DFG research unit 2812 “Constructing Scenarios of the Past: A New Framework in Episodic Memory” at the Ruhr University Bochum and the Westfälische Wilhelms University Münster. The research unit will study the cognitive and neuronal mechanisms underlying the constructed scenarios that make up episodic memory. It will employ and combine approaches from Philosophy, Psychology as well as Experimental and Computational Neuroscience. Further information about the project can be found at www.rub.de/cns <http://www.rub.de/cns>. *Job description* The successful candidate will model the function of episodic memory in inference and prediction using abstract computational models. This project strives to find answers to the questions: * Why are specific experiences stored in episodic memory helpful for predicting the future? * Why can general, or semantic, information not serve the same purpose? *Your Profile: * Candidates should hold a PhD in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling or machine learning, and excellent programming skills are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of episodic memory and in working within a collaborative research group would be a further asset. Candidates should have excellent communication skills in English and the ability to work well in a team. The Ruhr University Bochum is home to a vibrant research community in neuroscienceand cognitive science. The Institute for Neural Computation is an independent research unit and combines different areas of expertise ranging from experimental and theoretical neuroscienceto machine learning androbotics. For further information see www.rub.de/cns <http://www.rub.de/cns>. Please send your application, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe(a)ini.rub.de <mailto:samarasinghe@ini.rub.de>. In addition, at least two academic references may be sent independently to the above email address. The deadline for applications is 15.03.2019. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. We are committed to providing a supportive work environment for female researchers, in particular those with young children. Our university provides mentoring and coaching opportunities specifically aimed at women in research. We have a strong research network with female role models and will provide opportunities to meet with them. Wherever possible, events will be scheduled during regular childcare hours. Special childcare will be arranged if events have to be scheduled outside of regular hours, in case of sickness and during school or daycare closures. Where childcare is not an option parents will be offered a home office solution. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut für Neuroinformatik Ruhr-Universität Bochum, NB 3/26 Universitätstr. 150 D-44801 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe(a)ini.rub.de Hours: Mon. - Fri. 8-11

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CfP, Special session - Hybrid Life II, ALife 2019
by Manuel Baltieri Feb. 25, 2019

Feb. 25, 2019

[Apologies for cross-posting] ********** Call for Papers ********** Special session - Hybrid Life II: Approaches to integrate biological, artificial and cognitive systems https://sites.google.com/view/hybrid-life-ii/ <https://sites.google.com/view/hybrid-life-ii/> 2019 Artificial Life conference (ALife) Newcastle, UK, 29 July - 3 August 2019 - http://2019.alife.org/ <http://2019.alife.org/> --------------------------------------------------------------------------------------------- DESCRIPTION: The main focus of ALife research is the study of natural systems with the goal of understanding what life is. More concretely, ALife defines ways to investigate processes that contribute to the formation and proliferation of living organisms. In this session we focus on three common approaches to tackle this investigation, proposing ways to integrate, extend and possibly improve them. More specifically we refer to: 1) the formalisation of the necessary properties for the definition of life, 2) the implementation of artificial agents, and 3) the study of the relation between life and cognition. For this special session we propose to start from these well-established Alife methodologies, and extend them through: a unified formal language for the description and modelling of living, as well as artificial and cognitive systems, e.g. control theory, Bayesian inference, dynamical systems theory, etc., the exploration of biological creatures enhanced by artificial systems (or artificial systems augmented with organic parts) in order to investigate the boundaries between living and nonliving organisms, and the evaluation of coupled biological-artificial systems that could shed light on the importance of interactions among systems for the study of living and cognitive organisms. This special sessions aims to invite contributions from the fields of psychology, computational neuroscience, HCI, theoretical biology, artificial intelligence, robotics and cognitive science to discuss current research on the formalisation, combination and interaction of artificial/living/cognitive systems from theoretical, modelling and implementational perspectives. Potential topics include, but are not limited to: Formalisation of life and cognition (e.g. dynamical systems theory, stochastic optimal control, Bayesian inference, etc.) Cognitive robotics Autopoiesis Life-mind continuity thesis Systems biology Origins-of-life theories with relationships to artificial and cognitive systems Animal-robot interaction Bio-inspired robotics Bio-integrated robotics Human-machine interaction Augmented cognition Sensory substitution Interactive evolutionary computation Artificial perception Important Dates 8th March 2019 – Paper submission deadline 24th April 2019 – Paper acceptance notification 24th May 2019 – Camera-ready version 29th July - 3rd August 2019 – Artificial Life conference (ALife), Newcastle, UK Paper Submission Papers and abstracts submitted to this special sessions will be reviewed by a selected group of experts from the a-life community as well as from other areas key to our proposal, specifically chosen for this review process. If you are submitting to a special session you will be given the opportunity to select it during the submission process. Submissions to special sessions follow the same format, instructions and deadlines of regular ALife papers. Organizers Manuel Baltieri, University of Sussex, Brighton, UK Keisuke Suzuki, University of Sussex, Brighton, UK Hiryuki IIzuka, Hokkaido University, Sapporo, Japan Olaf Witkowski, Earth-Life Science Institute - Tokyo Institute of Technology, Tokyo, Japan Contacts For questions, enquiries and more information please check our website https://sites.google.com/view/hybrid-life-ii/ <https://sites.google.com/view/hybrid-life-ii/> or get in touch with m.baltieri(a)sussex.ac.uk <mailto:m.baltieri@sussex.ac.uk>. All the best, -- Manuel Baltieri PhD Candidate, EASy group, Sussex Neuroscience, Department of Informatics, University of Sussex, UK Twitter: @manuelbaltieri

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Post-Doctoral Fellowship in Whole Brain Modelling
by John Griffiths Feb. 25, 2019

Feb. 25, 2019

Post-Doctoral Fellowship in Whole Brain Modelling The Whole Brain Modelling Group (PI Dr. John Griffiths; www.grifflab.com) at the Krembil Centre for Neuroinformatics, Toronto, is looking to hire a Post-Doctoral Fellow with a strong background in computational neuroscience and/or neuroimaging. The successful candidate shall spearhead the group's efforts in computational modelling of large-scale brain dynamics, with a particular focus on brain stimulation (TMS, TDCS), EEG, neural plasticity, and macro-connectomics. The fellow will have the opportunity to shape the details of the project based on their specific interests, as well as to contribute to other ongoing projects on a range of topics, including: neuroinformatics of whole-brain modelling, mapping and modelling anatomical connectivity and microstructure with DWI in relation to ageing and stroke, and multi-scale modelling of the thalamocortical system in relation to sleep, pharmacological neuromodulation, and neuropsychiatric disease. The successful candidate will have a PhD in neuroscience, engineering, physics, psychology, or related area, a track record for independent research, and a strong publication record. Strong programming skills and familiarity with neuroimaging data analysis (s/d/fMRI and/or M/EEG) are required; experience with computational modelling using numerical simulations (particularly modelling of neural population activity with mean-field/neural mass/neural field techniques) would be advantageous. Full details of the position and application instructions can be found at www.grifflab.com/positions/ For informal inquiries, please email Dr. John Griffiths at john.griffiths(a)camh.ca with the title “Post-Doctoral Fellowship in Whole Brain Modelling” in the subject line. -- Dr. John D. Griffiths Independent Scientist @ Krembil Centre for Neuroinformatics, CAMH, Toronto Assistant Professor @ Department of Psychiatry, University of Toronto www.grifflab.com

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PhD Available: Predicting Recovery from Stroke with Machine Learning
by Howard Bowman Feb. 25, 2019

Feb. 25, 2019

PhD Available: Predicting Recovery from Stroke with Machine Learning Professor Howard Bowman (University of Kent and University of Birmingham) is looking to take on a PhD student to work on interpretable machine learning applied to data acquired from stroke patients (https://www.ucl.ac.uk/ploras/) This work will be with Professor Cathy Price (Wellcome Centre for Human Neuroimaging, UCL), whose (PLORAS) team has collected one of the largest data sets of stroke patients (greater than 1,000), including structural MRI scans, behaviour and demographics. A key focus of Cathy Price's work is to predict the recovery trajectory of stroke patients from their structural MRI scans, particularly patients with language deficits (i.e. that are aphasic). Progress has been made on this using traditional and now deep learning methods. Critical to clinical uptake of machine learning in this area is the ability to interpret the predictions it provides in a fashion that can be communicated to clinicians, patients and carers. We seek to appoint a PhD student to work on this topic, using methods such as neural-symbolic techniques. The student will be located in the School of Computing at the University of Kent, but will regularly visit and work closely with Cathy Price's team at the Wellcome Centre for Human Neuroimaging. Expertise in machine learning will be provided by Dr Thomas Hope (Wellcome Centre for Human Neuroimaging, UCL) and Dr Marek Grzes (School of Computing, University of Kent). The PhD being advertised will be one of a tranche of scholarships available in the School of Computing at the University of Kent at Canterbury. These will be competitively allocated across a range of topics. To be eligible for these scholarships, please contact Howard Bowman (H.Bowman(a)kent.ac.uk) before 31st March 2019. Relevant articles: Besold, T. R., Garcez, A. D. A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., ... & de Penning, L. (2017). Neural-symbolic learning and reasoning: A survey and interpretation. arXiv preprint arXiv:1711.03902. Hope, T. M., Seghier, M. L., Leff, A. P., & Price, C. J. (2013). Predicting outcome and recovery after stroke with lesions extracted from MRI images. NeuroImage: clinical, 2, 424-433. Seghier, M. L., Patel, E., Prejawa, S., Ramsden, S., Selmer, A., Lim, L., ... & Price, C.J. (2016). The PLORAS database: a data repository for predicting language outcome and recovery after stroke. Neuroimage, 124, 1208-1212.

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PhD position in computational neuroscience with Prof. Laurenz Wiskott in Bochum, Germany
by Laurenz Wiskott Feb. 25, 2019

Feb. 25, 2019

Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open position for a PhD student with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ University: The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties. Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see https://www.ini.rub.de/research/groups/theory_of_neural_systems/ Research topics: We are looking for an outstanding candidate who will be working on a system-level model of spatial navigation with the hippocampus as one of its central areas. We use methods from neural networks and machine learning. It is also planned to simulate experiments done with rat and/or mice by our experimental partners. The position is part of a joint team with Prof. Sen Cheng working on developing a system-level model of hippocampal function for memory and navigation. This is being done in close interaction with a team working on similar questions from the machine learning perspective. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The appointment will be for three years and can then be extended for one more year if needed. Anticipated starting date is May 15th. Requirements: Candidates should have an education (equivalent to a MSc) in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills (ideally in python) as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Application: Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to Prof. Laurenz Wiskott <laurenz.wiskott(a)rub.de>. Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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Reminder: XI. Dubrovnik Conference on Cognitive Science - Computational Rationality
by Gergo Orban Feb. 25, 2019

Feb. 25, 2019

Dear all, This is a reminder that the deadline is approaching for submitting abstracts for the XI. Dubrovnik Conference on Cognitive Science, which is devoted to the topic of Computational Rationality. The conference will take place between 23-25 May 2019 in Dubrovnik, Croatia. You may submit your poster abstract here: http://www.cecog.eu/ducog/page_submission.php <http://www.cecog.eu/ducog/page_submission.php> Our invited speakers are: Ulrike Hahn (Birkbeck, University of London, UK) Quentin Huys (Max Planck UCL Centre for Computational Psychiatry and Ageing Research, London, UK) Julian Jara-Ettinger (Yale University, USA) Máté Lengyel (University of Cambridge, UK, and Central European University, Hungary) Azzurra Ruggeri (Max Planck Institute for Human Development, Berlin, Germany) Laura Schulz (MIT, USA) Deadline for poster abstract submission is 28 February 2019. Authors will be notified of acceptance of their abstracts by 15 March 2019. For more information please visit: http://www.cecog.eu/ducog/page_invitation.php <http://www.cecog.eu/ducog/page_invitation.php> or email us: ducog(a)cogsci.bme.hu <mailto:ducog@cogsci.bme.hu> On behalf of the organisers, Oana Stanciu Gergő Orbán Programme chairs

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student/postdoc/RA positions with Li Zhaoping in Tuebingen Germany on experimental/theoretical neuroscience
by Li Zhaoping Feb. 23, 2019

Feb. 23, 2019

I am recruiting for students/postdocs/research assitants for my group in Tuebingen, where we work in the University of Tuebingen and in the Max Planck Institute for Biological Cybernetics, seehttps://www.kyb.tuebingen.mpg.de/sensory-and-sensorimotor-systems I will be at COSYNE workshop on March 4-5th, and would be happy to provide additional information, answer questions, and chat with interested people. Zhaoping

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Conference Models of Consciousness, Oxford
by Johannes Kleiner Feb. 22, 2019

Feb. 22, 2019

Dear all, I'd like to point your attention to the following conference on formal approaches to the mind-matter relation: Models of Consciousness Mathematical Institute, University of Oxford September 9 - 12, 2019 https://models-of-consciousness.org/ With best wishes, Johannes

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From Dagmar Sternad: Position for a Postdoctoral Fellow in Human Motor Control
by Marta Russo Feb. 21, 2019

Feb. 21, 2019

On behalf of Prof. Dagmar Sternad *Position for a Postdoctoral Fellow in Human Motor Control* Dagmar Sternad Professor of Biology, Electrical and Computer Engineering, and Physics Northeastern University d.sternad(a)northeastern.edu We are seeking a highly motivated postdoctoral fellow to work in the area of computational neuroscience and physical human-robot interaction. The research of Prof. Sternad’s Action Lab’s at Northeastern University in Boston is on human motor control and learning with extensions to clinical populations and rehabilitation http://www.northeastern.edu/actionlab/. Ongoing projects are on complex object manipulation and on human walking on unstable support. Our research addresses fundamental questions on human motor control, with a view to human-robot interactions and also clinical applications. Several ongoing collaborations are with Prof. Neville Hogan at MIT. The Action Lab’s interdisciplinary research program addresses questions in motor control from the perspective of dynamical system, bridging disciplinary approaches from nonlinear dynamics, biomechanics and engineering, neuroscience and psychology. The overall goal of our research is to understand the generation of perceptually controlled behavior in human systems. Our lab is equipped with state-of-the-art experimental equipment, including 3D motion capture, three virtual reality set-ups with a robot manipulandum, force plates and wireless EMG. We also use brain measurement and stimulation techniques, such as EEG and TMS. Our laboratory is currently supported by the National Science Foundation and the National Institutes of Health. For more information about ongoing projects please visit our website: http://www.northeastern.edu/actionlab/ Candidates should have graduate training in one of the following disciplines: Computational Motor Neuroscience, Physics, Mechanical, Electrical or Computer Engineering, the latter with an emphasis on robotics and interest in human motor control. The applicant should demonstrate an academic record of scientific excellence, independent research, and a strong interest in an interdisciplinary approach to human and robotic motor control. Experience in programming is expected (Matlab, C++, Statistics packages, etc.). He/she will get involved in existing research projects, but is also encouraged to bring to bear his/her expertise into the research project. The Action Lab is located in the Departments of Biology, Electrical and Computer Engineering, and Physics at Northeastern University as well as the Center for Interdisciplinary Research in Complex Systems. Northeastern University is located in the heart of Boston, which provides a stimulating environment for interdisciplinary research. Applicants should submit a curriculum vita, including a list of publications, and two letters of recommendation to d.sternad(a)northeastern.edu. Hiring will start as soon as possible. -- <http://www.hsantalucia.it/5x1000-sostieni-la-nostra-ricerca> *Rispetta l'ambiente: se non ti è necessario, non stampare questo messaggio - **Please consider the environment before printing this email.*

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