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Call for Papers: Special Session on Computational Methods for Neuroimaging Analysis, 6-8 September, Portugal
by Tiago Azevedo May 22, 2018

May 22, 2018

Dear all, Below find the call for papers for the special session "Computational Methods for Neuroimaging Analysis". It will be be held during the 15th International Conference on Computational Intelligence methods for Bioinformatics and Biostatistics, at Caparica, Portugal, from 6 to 8 September. **Important Dates** Paper submission deadline: 10 June 2018 Acceptance notification: 9 July 2018 Author registration due: 20 July 2018 Camera ready due: 29 July 2018 Conference: 6-8 September 2018 **Link** https://eventos.fct.unl.pt/cibb2018/pages/special-sessions **Aim and scope** There is an increasing need for the application of machine learning (ML) techniques which can perform image processing operations such as segmentation, coregistration, classification and dimensionality reduction in the field of neuroimaging. Although the manual approach often remains the golden standard in some tasks (like segmentation), ML can be utilised to automate and facilitate the work of researchers and clinicians. Frequently used techniques include support vector machines (SVMs) for classification problems, graph-based methods for brain network analysis and recently artificial neural networks (ANNs). Deep ANNs, i.e. deep learning, have proved to be very successful in computer vision tasks owing to the ability to automatically extract hierarchical descriptive features from input images. It has also been used in the medical and neuroimaging domains for automatic disease diagnosis, tissue segmentation and even synthetic image generation. The issue, however, is the relative sample paucity in typical neuroimaging datasets which leads to poor generalisation considering the high number of parameters employed in typical deep neural networks. Consequently, parameter- efficient design paradigms ought to be created. Another approach to investigate degeneration is the study and mapping of the neural connections in the brain known as the connectome. The connectome can be seen as a matrix representing all possible pairwise connections between different neural areas. Researchers study both the structural and functional connectivity in order to understand important brain patterns, such as how the connectome impacts the dynamics of disease spreading, ageing and learning. Topics of interest includes but are not limited to: • Machine learning techniques for segmentation, coregistration, classification or dimensionality reduction of neuroimages   • Deep learning for neuroimaging analysis   • Brain network analysis   • Applications of graph theory to MRI and fMRI data   • Applications of machine learning methodologies for neurodegenerative disease studies   • Computational modelling and analysis of neuroimaging   • Methods of analysis for structural or functional connectivity   • Development of new neuroimaging tools **Session chairs** Tiago Azevedo, University of Cambridge, UK Giovanna Maria Dimitri, University of Cambridge, UK Pietro Liò, University of Cambridge, UK Angela Serra, University of Salerno, Italy Simeon Spasov, University of Cambridge, UK

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Two postdoc positions at Champalimaud Centre for the Unknown, Lisbon
by Christian Machens May 21, 2018

May 21, 2018

POSTDOC POSITIONS IN COMPUTATIONAL / SYSTEMS NEUROSCIENCE Two postdoctoral positions - one in theory and one in experiment - are available in a joint project between the labs of Alfonso Renart and Christian Machens at the Champalimaud Centre for the Unknown in Lisbon, Portugal. Location: The Champalimaud Centre for the Unknown is situated on the waterfront in central Lisbon. English is the official language of the Centre. The center is composed of about 20 main research groups who study diverse topics in neuroscience using advanced, cutting edge techniques. Project: The proposed project will investigate to what extent neural circuits actively compensate random perturbations. The project involves the recordings and partial silencing of neural populations, population-level analysis using dimensionality reduction and other techniques, and the modeling of the results with spiking networks. Relevant background literature: Renart, de la Rocha, et al (2010), Science 327:587-90; Barrett et al (2016), eLife 5:12454; Deneve and Machens (2016), Nat Neurosci 19:375-82. Profile (theory): The ideal candidate should have a PhD with a strong, quantitative background (ideally in fields such as machine learning and/or computational neuroscience). The position is funded for two years with possibility of extension. Profile (experiment): The ideal candidate should have experience in electrophysiology (e.g. recordings from behaving head-fixed mice) and data analysis (e.g. dimensionality reduction methods etc). Applications should include a CV, a statement of research interests (max 1 page), and two letters of recommendation. Feel free to ask any informal questions about the positions if you are interested. Electronic submissions in pdf-format are preferred and should be send to both of the following email addresses: christian.machens(a)neuro.fchampalimaud.org alfonso.renart(a)neuro.fchampalimaud.org

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project in neuromath & circuit-based neuron classification
by NeuroMorpho Administrator May 21, 2018

May 21, 2018

Dear colleagues, Please find below an advertisement for a postdoc position in my lab. Thanks in advance for spreading the opportunity! Giorgio Ascoli Postdoctoral Research Fellow - Department of Bioengineering The George Mason University Department of Bioengineering, within the Volgenau School of Engineering, is seeking a postdoctoral research fellow to contribute to ongoing cutting-edge neuroinformatics research funded by the National Institutes of Health (NIH) under the BRAIN initiative. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment. Responsibilities: The initial focus is on quantitative analysis, modeling, and simulations of neuronal classification, network connectivity, and circuit dynamics. Post-doc will join the Center for Neural Informatics, Structures, and Plasticity (CN3) in George Mason University’s Volgenau School of Engineering in northern Virginia (20 miles west of Washington DC). CN3 is an interdisciplinary, energetic, and creative research group in the Krasnow Institute for Advanced Study of the main Fairfax campus. The position entails tight collaborations with faculty and trainees in the Bioengineering, Neuroscience, and Mathematics programs. The successful applicant will work directly with the CN3 director and will have unlimited access to dedicated supercomputer and server facilities, flexible working schedule, salary based on the NIH postdoctoral scale, and state employee benefits. Required Qualifications: The successful candidate is expected to have a Ph.D. in a discipline related to biomedical engineering, applied mathematics, computer science, neuroscience, physics, data science, or related fields. Preferred Qualifications: The incumbent should have research experience with programming and scripting languages (C++, Java, R, MatLab). Working knowledge of network neuroscience, clustering techniques, statistics, graph theory, and/or machine learning are desirable. About Mason: George Mason University, a tier-1 research institution, is considered one of the top “Up and Coming” educational institutions in America by the U.S. News and World Report. It is conveniently located in the Washington D.C., metropolitan area within easy access to several national laboratories and research centers (including the National Institutes of Health and the Janelia Research Campus of the Howard Hughes Medical Institute), and provides a highly stimulating environment for interdisciplinary science. Biomedical research is a major area of strategic focus for Mason, and the Center for Neural Informatics has been at the forefront of computational neuroscience research since its establishment in 2006. For full consideration, applicants must complete and submit the online application at https://jobs.gmu.edu/postings/42954 [http://jobs.gmu.edu/hr/assets/social_share.jpg]<https://jobs.gmu.edu/postings/42954> Postdoctoral Research Fellow<https://jobs.gmu.edu/postings/42954> jobs.gmu.edu Postdoctoral Research Fellow, Department of Bioengineering The George Mason University Department of Bioengineering, within the Volgenau School of Engineering, is seeking a postdoctoral research fellow to contribute to ongoing cutting-edge neuroinformatics research funded by the National Institutes of Health (NIH) under the BRAIN initiative. George Mason University has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich Mason’s academic and culturally inclusive environment. Responsibilities: The initial focus is on quantitative analysis, modeling, and simulations of neuronal classification, network connectivity, and circuit dynamics. Post-doc will join the Center for Neural Informatics, Structures, and Plasticity (CN3) in George Mason University’s Volgenau School of Engineering in northern Virginia (20 miles west of Washington DC). CN3 is an interdisciplinary, energetic, and creative resea Finalist will be required to submit three letters of recommendation upon request. Review of applications will begin on June 1, 2018, and continue until the position is filled. This position will be renewed annually subject to satisfactory performance and availability of funds. Non-resident aliens are welcome to apply. Questions regarding the position should be directed to ascoli(a)gmu.edu<mailto:ascoli@gmu.edu> George Mason University is an equal opportunity/affirmative action employer, committed to promoting inclusion and equity in its community. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. ---------------- Giorgio Ascoli, PhD University Professor Bioengineering Department, Volgenau School of Engineering Neuroscience Program, Krasnow Institute for Advanced Study Director, Center for Neural Informatics, Structures, & Plasticity MS2A1 - George Mason University, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of “Trees of the Brain, Roots of the Mind” (MIT Press, 2015) Founding Editor-in-Chief, Neuroinformatics

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Project in neurotechnology/vision in mice in the Roelfsema lab - Amsterdam
by Pieter Roelfsema May 21, 2018

May 21, 2018

Dear colleagues, Please find below an advertisement for a PhD or postdoc position in my lab. Thanks for spreading the advertisement! Pieter Roelfsema A postdoc or PhD-student position is available in the Vision & Cognition group at the Netherlands Institute for Neuroscience in Amsterdam. The aim is to understand visual perception and plasticity elicited by electrical stimulation of the visual cortex in mice, with the ultimate aim to create a visual cortical prosthesis to restore a rudimentary form of vision for the blind. Project description: Visual perception elicited by electrical stimulation of mouse visual cortex Electrical stimulation of the visual cortex elicits a “phosphene”, an artificial percept of light. By stimulating multiple electrodes at the same time, it might prove possible evoke pattern vision. The aims of this project are to (1) develop new methods for electrical stimulation in mice; (2) to study the patterns of activated neurons using two-photon imaging and (3) to test visual perception of electrical percepts and its plasticity in mice. Qualifications We will consider highly motivated, self-driven candidates with a degree in neuroscience, (neuro)psychology, biomedical sciences, natural sciences, material science, mathematics, physics, etc. A high level of written and spoken English and good programming skills are required. The ideal candidate will have experience with neurophysiological techniques, the analysis of neuronal activity in alert animals, and a background in neuroscience. Interest in the translation of fundamental research into clinical applications and collaboration with high-tech companies is a plus. All qualified applicants will receive consideration for employment without regard to race, religion, sexual orientation, nationality, disability, etc. Appointment The position involves a fulltime temporary appointment for 3 years (postdoc) or 4 years (PhD student). Starting date: Mid-2018. Salary PhD position: The gross monthly salary coming with a full-time appointment will amount to a minimum of € 2.191 in the first year to € 2.801 in the fourth year (P scale of the Collective Labour Agreement for Dutch Universities). Postdoctoral position: This will be commensurate with experience and institutional guidelines based on the Collective Labour Agreement for Dutch Universities; CAO NU). In addition, an 8% holiday allowance and 8.3% year-end bonus will be provided. We offer an extensive package of fringe benefits. To apply, please send an application letter, CV, and two letters of recommendation to: Tini Eikelboom The Netherlands Institute for Neuroscience Meibergdreef 47, 1105 BA Amsterdam, The Netherlands Telephone: +31-20-5664587 E-mail: t.eikelboom(a)nin.knaw.nl<mailto:t.eikelboom@nin.knaw.nl> Evaluation of candidates will begin immediately, and continue until the position is filled. We aim to fill the position mid-July 2018.

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[job] PhD position opening in Machine Learning for Adaptive Language interaction with an intelligent dialog companion.
by Pierre-Yves Oudeyer May 18, 2018

May 18, 2018

*Title: Machine Learning for Adaptive Language interaction with an intelligent dialog companion *Keywords: Deep reinforcement learning, interactive machine learning, natural language processing, neural networks, intelligent dialog companion *Context: The thesis takes place in the context of a collaboration between the Robot Cognition Laboratory (INSERM/CNRS), the innovation services department of Intrinsic Cloud Temple, and the Flowers laboratory (Inria). *Background: Based on RCL experience in human-robot cooperation and learning, we have developed an intelligent agent that accompanies humans in their experience using web-based tools, learns from explicit demonstration, and allows the user to re-use and recompose learned plans to form more complex structured plans. *Project: For the moment, the system learns from demonstration. The project will extend and study algorithms for interactive machine learning (using Deep RL) to include language instructions as one of the ways that the system can learn, that is, by using the invariant structure of the human verbal description to organize procedural representations. This will advance the state of the art in the integration of language into reinforcement learning systems. * Location: Lyon and Nanterre, France (Inserm and Cloud Temple) * Response modalities: Send (1) a letter of motivation stating your interest in the project, (2) a CV, and (3) two letters of recommendation to the three addresses for Jean-Michel Dussoux, Peter Ford Dominey, and Pierre-Yves Oudeyer listed in the call, with the subject [Intelligent Assistant PhD]. jmd(a)intrinsec.com; pierre-yves.oudeyer(a)inria.fr; peter.dominey(a)inserm.fr More details: https://www.dropbox.com/s/g5ksylrrlgatkf2/RCL-CT-THESE-interaction-manager-…

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POSITIONS: Lecturer/Associate Professor in Robotics, School of Computing, Electronics and Mathematics, University of Plymouth, UK
by Roman Borisyuk May 18, 2018

May 18, 2018

Dear colleagues, The University of Plymouth is seeking to fill two positions as Lecturer/Associate Professor in Robotics. General Description The School offers a wide range of degree programmes related to Technology in the areas of Robotics, Electrical & Electronic Engineering, Computer Science and Mathematics. We provide a stimulating teaching and research environment with strong connections to business and industry and offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development. Four current active areas of research in Plymouth are the design and construction of agricultural robots for fruit and vegetable harvesting; the study of human-robot interaction and collaboration; the computational modelling and development of manipulation systems based on experimental investigations of human motor control and the design and development of robotic applications for Urban Search & Rescue and Nuclear Decommissioning. We have vacancies for enthusiastic, innovative and dynamic individuals to join our vibrant School to support Robotics and Machine Learning, especially as applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) aspects of robotics systems such as sensors and actuators, kinematics and dynamics, autonomous mobile platforms and deep learning for control and recognition. Required qualifications Applications are invited from academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Robotic Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science) together with an international profile and reputation for research excellence. We offer * Salary: from £33,518 to £56,950 (Grade 7/8/9) depending on the candidate's qualification and the level of experience * Contract Type: full-time, working 37 hours per week on a permanent basis Duties and responsibilities As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as contributing to teaching on the undergraduate and postgraduate Robotics programmes, as well as other courses within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality hands-on engineers and you should be able to support practical hardware and software projects. How to apply Candidates can apply online by visiting the application link below: http://www.jobs.ac.uk/job/BJS594/lecturer-associate-professor-in-robotics/ Contact for informal discussion: For informal queries, do not hesitate to contact Dr Ian Howard (ian.howard(a)plymouth.ac.uk<mailto:ian.howard@plymouth.ac.uk>). Further information about the school and its courses is available at: www.plymouth.ac.uk/compmath<http://www.plymouth.ac.uk/compmath>, with details of our research centre available at: www.plymouth.ac.uk/research/crns<http://www.plymouth.ac.uk/research/crns> Closing date: 12 midnight, Thursday 31 May 2018. University of Plymouth is committed to an inclusive culture and respecting diversity and welcomes applications from all sections of the community and is a Stonewall diversity champion. The University holds a Bronze Athena SWAN Award which recognises commitment to advancing women’s careers in STEMM academia. University of Plymouth has been recognised by Bloomberg as one of the 50 best UK employers for 2016. Dr Mario Gianni Lecturer in Computer Science School of Computing, Electronics and Mathematics Faculty of Science and Engineering Plymouth University A221 Portland Square Drake Circus, Devon PL48AA, UK +44(0)1752 586318<tel:+44%201752%20586318> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form. ========================================================== This email comes from the euRobotics mailinglist. You can edit your personal mailinglist profile (including unsubscription) via https://lists.iais.fraunhofer.de/sympa/info/euron-dist ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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PhD position in (Hearing-Impaired) Auditory Signal Processing at Ghent University (BE)
by Sarah Verhulst May 17, 2018

May 17, 2018

Dear List, We invite applications for a 4-year PhD position at the Hearing Technology Lab, Dept of Information Technology, Ghent University. Evaluation of the applications starts June 15th and continues until the position is filled (starting date Oct 2018 or earlier if preferred). The PhD position is part of the ERC project RobSpear: “Robust Speech Encoding in Impaired Hearing” that takes an interdisciplinary approach (combining auditory models with EEG, psychoacoustics and machine-learning) to study sound processing in listeners with impaired hearing. You will be part of an international team of researchers with different backgrounds to develop signal-processing strategies for hearing aids of the future. Aside from signal-processing, behavioral sound perception and/or EEG experiments with normal and hearing-impaired listeners is expected as part of this project. The Hearing Technology lab of Prof. Verhulst offers an international research environment and access to world-class research facilities (waves.intec.ugent.be/hearing-technology and gasp.ugent.be). Funding is available for 4 years provided positive intermediate evaluations. Applicants should hold an academic university degree (Masters or equivalent) in Engineering (Electrical, Acoustical, Biomedical), (Engineering) Physics, Mathematics, Informatics. Coding skills (Python, Matlab) and digital signal processing knowledge are required, experience with auditory modeling, sound applications, machine learning are a big plus. Excellent written and oral English skills are required and knowledge of the Dutch language a plus. Experience with writing scientific papers is a plus. Applications including a CV, motivation letter, copies of higher-education degrees, grade transcripts and the name and contact details of two persons who are willing to give a reference should be sent electronically to: isabelle.vanderelstraeten(a)ugent.be<mailto:isabelle.vanderelstraeten@intec.ugent.be>. Please mention “PhD vacancy hearing” in the subject line. Inquiries about the position can be directed to Prof. Verhulst (s.verhulst(a)ugent.be)<mailto:s.verhulst@ugent.be)>. Kind Regards, Sarah Verhulst --- Sarah Verhulst Associate Professor T +32 9 33 14 844 Dept. Information Technology Waves Technology Campus, iGent, Technologiepark 15, 9052 Zwijnaarde (BE) T secretariaat +32 9 264 33 21 / F +32 9 264 35 93 www.ugent.be<https://www.ugent.be/> www.waves.intec.ugent.be e-maildisclaimer<https://helpdesk.ugent.be/e-maildisclaimer.php>

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The 2nd International Neural Dynamics Summer School 2018 - application deadline 15th June 2018
by Tsaneva-Atanasova, Krasimira May 17, 2018

May 17, 2018

The 2nd International Neural Dynamics Summer School 2018 Experience experimental and computational neuroscience research 05/09/2018 –07/09/2018 Bristol University, UK We are offering twelve fully funded positions on the Wellcome Trust sponsored summer school for training and research experience in neural dynamics (TRENDs). The training and research in neural dynamics summer school is an exciting Wellcome Trust funded course held at the University of Bristol. The aim is to introduce young scientists to experimental and computational techniques used in neuroscience research. The summer school will be a three-day course made up of a series of seminars and lab visits where successful candidates will get first hand experience of electrophysiological recordings (bothin vitro and in vivo), EEG recordings, brain imaging, optogenetics, data analysis workshops and practical classes on learning to code in Python. No prior experience is necessary, but a keen interest is essential! We welcome applications from science undergraduates from a wide range of backgrounds. For successful applicants all costs to attend the course, including travel expenses within the UK, accommodation and food will be covered. Overseas travel expenses will be considered on a case by case basis. Deadline 15 June, 2018 Please send a completed application form, along with a cover letter, a copy of your CV and one academic reference or the name of one referee to will.gawned(a)bristol.ac.uk<mailto:will.gawned@bristol.ac.uk>. The application form is available as .doc ( TRENDS_2018_docx (Office document, 9kB)<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/tren…>) or as a LaTeX template (TRENDS_2018_tex<http://www.bristol.ac.uk/media-library/sites/neural-dynamics/documents/stud…>), please submit either .doc or .pdf. Krasimira Tsaneva-Atanasova Professor of Mathematics for Healthcare Department of Mathematics & Living Systems Institute, T02.17 University of Exeter, Stocker Road, Exeter, EX4 4QD, UK email: k.tsaneva-atanasova(a)exeter.ac.uk<mailto:k.tsaneva-atanasova@exeter.ac.uk> tel: +44 (0) 1392 723615 web: http://emps.exeter.ac.uk/mathematics/staff/kt298

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8th International Summer School „Multimodal integration of brain measurements in research and clinical practice“
by Uwe Graichen May 16, 2018

May 16, 2018

Dear colleagues, we are pleased to announce the 8th International Summer School in Biomedical Engineering „Multimodal integration of brain measurements in research and clinical practice“, 1st – 12th October 2018 in Chengdu, China. This event stands in the tradition of a series of successful summer schools on hot themes in biomedical engineering, dedicated to intense learning in the fruitful atmosphere of tight interaction between students and world-leading specialists. This year’s summer school is devoted to EEG/MEG source reconstruction technologies in the frame work of multimodal integration of brain measurements in research and clinical practice. In particular, the 8th International Summer School on Biomedical Engineering will focus on methodological approaches and challenges, measurement devices and characteristics, types of underlying theoretic modeling, specifics of data analysis, ability to derive conclusions about neuroscientific meaning. It will cover both theoretical foundations and practical applications. We aim at a thorough understanding of the underlying mechanisms. Thus, we will develop a critical view on current applications and possible future developments. The second important aim of the summer school consists in providing contact with both leading experts in the field and other students with similar interests, thereby facilitating the exchange of ideas on latest developments in the field. Target Group: - PhD students - Advanced Master students - Researchers entering the field of brain measurement and stimulation techniques Further Information about the 7th International Summer School in Biomedical Engineering: www.bme-school.org We would be happy to receive your application. Please pass this announcement to your colleagues who might be interested. Sincerely, Jens Haueisen and Thomas Knösche

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Neuroplasticity Workshop: From Bench to Machine Learning 13 July 2018 - 14 July 2018 -- University of Surrey near London
by a.gruning＠surrey.ac.uk May 16, 2018

May 16, 2018

Dear colleagues, Full information at <http://www.ias.surrey.ac.uk/workshops/Neuroplasticity/index.php>. Neuroplasticity: From Bench to Machine Learning 13 July 2018 - 14 July 2018 The Surrey Sleep Research Centre, the Department of Computer Science, and the Institute of Advance Studies at the University of Surrey are pleased to announce a call for participation in and contributions to a two-day workshop where researchers can share and discuss the current advances in neuroplasticity and machine learning and their mutual inspiration. On one hand, Neuroscience keeps discovering new mechanisms involved in neural plasticity and its modulation, which involves the so-called “third factors” (e.g. dendritic computations, glia, neurotransmitters) and dynamics of neural networks (e.g. oscillations). However the functional and computational interpretation of these phenomena and their utilisation in machine learning remains to be explored. On the other hand, the advent of “deep networks” in machine learning has allowed us to model artificial neural networks that perform highly complex tasks (e.g. chess, go, image classification). But to date, none of these modeling approaches competes with general human or animal intelligence in terms of cost-effectiveness or domain-transferability. The main goal of this workshop will be to discuss the missing links between neural-level phenomena and their computational function on behavioural or technical level. This meeting will bring together international and national leaders in the fields of synaptic function and plasticity, network dynamic, computational neuroscience and machine learning and will offer a unique platform to establish new interdisciplinary collaborations. CONFIRMED SPEAKERS Katharina Wilmes, Imperial College London, UK Matthew Larkum, Humboldt-Universität zu Berlin, Germany Cyril Hanus, INSERM U894, France Brendon Watson, University of Michigan, USA Keith Hengen, Washington University, USA Giorgos Kastellakis, IMBB-FORTH, Crete Friedemann Zenke, University of Oxford Connor Houghton, University of Bristol Liam McDaid, Ulster University David Lester, SpiNNaker, University of Manchester Tiina Maninen, Technical University of Turku -- Brief? Here's why: http://emailcharter.org<http://emailcharter.org/> Dr Andre Gruning Senior Lecturer (Associate Professor) Postgraduate Research Director Department of Computer Science University of Surrey, Guildford GU2 7XH United Kingdom

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