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PostDoc position University of Minnesota
by Alexander Opitz Sept. 9, 2019

Sept. 9, 2019

A postdoc position funded by the NIH Brain Initiative is available in the lab of Alexander Opitz in the Department of Biomedical Engineering at the University of Minnesota. The lab works in the field of noninvasive brain stimulation across multiple levels of investigation. The candidate will develop and extend existing computational models to bridge physical and physiological effects of transcranial magnetic stimulation (TMS). The candidate will further contribute to analyzing invasive electrophysiological data from NHPs stimulated with TMS. Access to computing resources from the Minnesota Supercomputing Institute are available. The Opitz lab is committed to the career advancement of its members. We offer a diverseand inclusive environment with numerous opportunities for members to develop their own projects and support for fellowships and career development awards. The funded project involves collaborators in New York and Germany and research exchanges will be part of the project. Experienced candidates can be hired at the research associate level. *Qualifications* Required Qualifications: ·Ph.D. in Engineering, Neuroscience, Physics, Applied Mathematics or similarly related field. ·Strong record of technical capabilities in research. ·Expertise in Python/Matlab or other programing languages Preferred Qualifications: ·Experience in computational neuroscience ·Background in computational modeling/analysis of neural data Informal inquiries can be made to aopitz(a)umn.edu. Further details can be found at http://opitzlab.umn.edu/join_us

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NEURON course at SFN 2019 meeting
by Carnevale, Nicholas Sept. 9, 2019

Sept. 9, 2019

Space is still available for the NEURON course at this year's meeting of the Society for Neuroscience, but you'll have to act quickly because the registration deadline is Friday, October 4--less than a month from today. This one-day course is for you, whether you're a PI trying to decide whether to add computational modeling to your research program, a grad student or postdoc just getting started in modeling, or an established NEURON user who wants to find out what the latest advances are. It starts with a practical introduction that reviews basic concepts and presents a workflow for building and working with models of cells and networks, and moves on to topics that include using Python with NEURON, modeling reactive diffusion with the RxD class, and running simulations on parallel hardware from multicore Macs and PCs to massively parallel supercomputers. For more information and the registration form, see https://neuron.yale.edu/neuron/static/courses/chi2019/chi2019.html

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Recruiting two postdocs (UCL, London, UK)
by Love, Bradley Sept. 6, 2019

Sept. 6, 2019

Hello, My lab (bradlove.org<http://bradlove.org>) is searching for two postdocs in computational cognitive neuroscience to work at UCL in London, UK. We are open and supportive of people coming from either the psych/neuro or the computer science side. One push is making deep learning more human-like using brain and behavioral data. Please apply here by 4-October, https://t.co/XcKISJVhp8?amp=1 ******************************** Bradley C. Love University College London b.love(a)ucl.ac.uk<mailto:b.love@ucl.ac.uk> http://bradlove.org<http://bradlove.org/> ********************************

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CFP: FLAIRS 2020, N Miami Beach, Neural Network and Data Mining Special Tracks
by David B Sept. 6, 2019

Sept. 6, 2019

CALL FOR PAPERS FLAIRS 2020, Florida Artificial Intelligence Research Symposium Special Tracks on Neural Networks and Data Mining North Miami Beach, FL https://www.flairs-33.info/ May 17 - 20, 2020 Paper submission deadline: November 18, 2019. Notifications: January 20, 2020. Camera ready version due: February 24, 2020. FLAIRS is a medium-sized interdisciplinary AI conference which especially encourages novel ideas. It features a strong international following, a double-blind review process, free tutorials, and a great venue. Neural Network Track: The special track will be devoted to Neural Networks with the aim of presenting new and important contributions in this area. The areas include, but are not limited to, the following: applications such as Pattern Recognition, Control and Process Monitoring, Biomedical Applications, Robotics, Text Mining, Diagnostic Problems, Telecommunications, Power Systems, Signal Processing; algorithms such as new developments in Back Propagation, RBF, SVM, Deep Learning, Ensemble Methods, Kernel Approaches; hybrid approaches such as Neural Networks/Genetic Algorithms, Neural Network/Expert Systems, Causal Nets trained with Backpropagation, and Neural Network/Fuzzy Logic; pre- or post-processing techniques such as feature extraction; or any other area of Neural Network research which is related to artificial intelligence. Papers dealing with tool suites are also encouraged. Data Mining Track This special track will be devoted to data mining with the aim of presenting new and important contributions in this area. Papers and contributions are encouraged for any work related to Data Mining. Topics of interest may include (but are in no way limited to): 1. Applications such as Intelligence analysis, medical and health applications, text, video, and multi-media mining, E-commerce and web data, financial data analysis, cyber security, remote sensing, earth sciences, bioinformatics, and astronomy. 2. Modeling algorithms such as hidden Markov models, decision trees, neural networks, statistical methods, or probabilistic methods; case studies in areas of application, or over different algorithms and approaches. 3. Feature extraction and selection. 4. Post-processing techniques such as visualization, summarization, or trending. 5. Preprocessing and data reduction. 6. Knowledge engineering or warehousing. Papers dealing with Cloud-based unstructured data or Cloud-based tool suites are also encouraged. Note: We invite original papers (i.e. work not previously submitted, in submission, or to be submitted to another conference during the reviewing process). Submission Guidelines Interested authors should format their papers according to AAAI formatting guidelines. The papers should be original work (i.e., not submitted, in submission, or submitted to another conference while in review). Papers should not exceed 6 pages (or 4 pages for short paper, to be presented as a poster) and are due by November 18. FLAIRS uses a double blind reviewing process. Author names and affiliations should be X’d out on submitted papers. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (https://www.flairs-33.info/) Note: do not use a fake name for your EasyChair login - your EasyChair account information is hidden from reviewers. Authors should indicate which special track they are submitting to. The proceedings of FLAIRS will be published by the AAAI. Authors of accepted papers will be required to sign a form transferring copyright of their contribution to AAAI. FLAIRS requires that there be at least one full author registration per paper.

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AICAS2020 - Call for Tutorial Proposals
by Elisa Donati Sept. 6, 2019

Sept. 6, 2019

AICAS 2020 - CALL FOR TUTORIAL PROPOSALS 2nd IEEE Conf. on Artificial Intelligence Circuits and Systems 23th-25th March, 2020, Genova, Italy www.aicas2020.eu <http://www.aicas2020.eu/> Deadline for proposals: November 10th, 2019 https://aicas2020.eu/submissions <https://aicas2020.eu/submissions> The objective of the AICAS 2020 Tutorial Program is to provide participants with an inspiring and informative selection of tutorials that reflect current topics in AI circuits and systems related research and development. Tutorials will cover a one to three-hour period with ten minutes at the end for questions. They will be held in the morning before the technical sessions. We encourage submissions of tutorial proposals on the topics including but not limited to: Circuits and systems for AI Deep learning/machine learning/AI algorithms Tools/Platforms for AI Architecture for AI computing Edge and cloud AI computing platforms Hardware accelerators Neuromorphic processors and computing Hardware/software co-design and design automation for AI systems Advanced neural network design Emerging applications: Deep learning for Internet-of-Things Emerging applications of AI: Medical AI Emerging applications of AI: Autonomous Vehicle Emerging applications of AI: Smart Factory and Environment Emerging applications of AI: Robotics Prospective organizers of tutorial program should submit proposals to the Tutorial Chair indicating: Title of the tutorial, Area of the tutorial (refer to the above topics), Presenter(s) and their CV, Target audience and prerequisite knowledge of audience, 300 words abstract (for inclusion on webpage and in registration materials), Full description (1-2 pages to be used for evaluation),Keywords, Detailed contact information of all presenters (and indication of the main contact person). Contact tutorial chair, email: tutorials(a)aicas2020.eu <mailto:tutorials@aicas2020.eu> PhD. Elisa Donati Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch Phone: +41 0446353061

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Call for Papers: AICAS2020 IEEE International Conference on Artificial Intelligence Circuits and Systems
by Elisa Donati Sept. 6, 2019

Sept. 6, 2019

******************************************************************************************************************************************************************** Call for Papers: AICAS2020 IEEE International Conference on Artificial Intelligence Circuits and Systems Conference website: www.aicas2020.eu <http://www.aicas2020.eu/> Submission deadline: September 30, 23:59 (GMT -0700) Submit at: https://epapers.org/aicas2020/ESR/login.php <https://epapers.org/aicas2020/ESR/login.php> Contact: info(a)aicas2020.eu <mailto:info@aicas2020.eu> The theme of AICAS2020 is “Circuits and systems for efficient embedded AI”, revolving around the development of hardware and computational strategies towards an increase in system efficiency that supports efficient, embedded, smart applications (such as mobile, robotics, automotive). Potential topics include but are not limited to: Emerging devices and materials for AI Mixed-signal and in-memory hardware accelerators Digital hardware accelerators Edge AI computing platforms and systems Cloud AI computing platforms and systems Neuromorphic/bioinspired circuits, processors and systems and their applications Hardware/software co-design and design automation for AI systems Deep learning/machine learning/AI algorithms Smart sensors and actuators AICAS in IoT, HCI, healthcare, autonomous systems, homes/factories/cities/nature Tools, libraries, benchmarking for AI Other areas in AI circuits and systems Live demos (1 page papers) Special sessions (invited papers) We invite you to submit papers in the AICAS2020 format. Online submissions will be accepted via ePapers in PDF format (https://epapers.org/aicas2020/ESR/login.php <https://epapers.org/aicas2020/ESR/login.php>). Regular and Special Session Papers length is maximum 4 pages, plus up to 1 page for references (ONLY) or maximum 1 page for Live demos. Please refer to the detailed information for authors. Papers will comply with IEEE conference template and camera ready manuscripts will be checked for IEEExplore compliance. The review process is double-blind. Authors of selected best papers will be invited to submit extended versions of their work for publication in IEEE JETCAS special issue. On Behalf of the Conference Organizing Committee, Chiara Bartolozzi - Istituto Italiano di Tecnologia (Italy), Shih-Chii Liu - University of Zurich and ETH (Switzerland), Tobi Delbruck - University of Zurich and ETH (Switzerland), Marian Verhelst - KU Leuven (Belgium) and Maurizio Valle - University of Genova (Italy) PhD. Elisa Donati Institute of Neuroinformatics University and ETH Zurich Winterthurerstrasse 190, 8057 Zurich E-mail: elisa(a)ini.uzh.ch Phone: +41 0446353061

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CFP: 10th IEEE International Conference on Development and Learning (ICDL)
by nagai.yukie＠mail.u-tokyo.ac.jp Sept. 5, 2019

Sept. 5, 2019

CALL FOR PAPERS: 10th IEEE International Conference on Development and Learning (ICDL) 7th-10th September 2020, Valparaiso, Chile Web page: https://cdstc.gitlab.io/icdl-2020/ An IEEE Computational Society-sponsored conference ==== Important Dates ==== Submission deadline: 15th March 2020 Author notification: 15th May 2020 Camera ready due: 1st July 2020 Conference: 7th-10th September 2020 ==== Overview ==== The IEEE International Conference on Development and Learning (ICDL), previously referred to as ICDL-EpiRob, is the premier gathering of professionals dedicated to the advancement of cognitive and developmental learning. As such, ICDL is a unique conference gathering researchers from computer science, robotics, psychology and developmental studies. ICDL is a highly selective annual international conference that aims to showcase and share the very best interdisciplinary and multidisciplinary research on how humans and animals develop sensing, reasoning and actions. ICDL community focusses on the understanding of how biological agents take advantage of interaction with social and physical environments to develop their cognitive capabilities. Moreover, how this knowledge can be used to improve future computing and robotic systems. We invite submissions for the conference to explore, extend, and consolidate the interdisciplinary boundaries of this exciting research field. ==== Scope and Topics ==== The primary list of topics of interest includes, but not limited to: - principles and theories of development and learning; - development of skills in biological systems and robots; - nature vs nurture, developmental stages; - models on the contributions of interaction to learning; - verbal, non-verbal and multi-modal interaction; - models on active learning; - architectures for lifelong learning; - emergence of body and affordance perception; - analysis and modelling of human motion and state; - models for prediction, planning and problem solving; - models of human-human and human-robot interaction; - emergence of verbal and non-verbal communication; - epistemological foundations and philosophical issues; - robot prototyping of human and animal skills; - ethics and trust in computational intelligence and robotics; - social learning in humans, animals, and robots. ==== Submissions ==== Authors are invited to submit original and unpublished papers of six pages with the possibility of two-extra pages at a fee. Submissions are in the IEEE conference template. Submission will be selected for either oral or poster presentation based on the reviews. Accepted and presented regular six-page paper submissions will be included in the conference proceedings published by IEEE Xplore after the conference. For more information about submissions, travel grants, social events, etc. visit the conference webpage under https://cdstc.gitlab.io/icdl-2020/ ==== Organizing committee ==== General Chairs: Giulio Sandini, and Javier Ruiz-del-Solar Program and Finance Chairs: Nicolás Navarro-Guerrero, and María-José Escobar Bridge Chairs: Minoru Asada, Frédéric Alexandre, and Linda Smith Publicity Chairs: Carmelo Bastos, Maya Cakmak, Angelo Cangelosi, Yukie Nagai, and Emre Ugur Publication Chairs: Pablo Barros, and Haian Wu Tutorials and Workshops Chair: Miguel Solis Travel and Registration Awards Chair: Francisco Cruz Local chairs: Mauricio Araya Webpage Chairs: Cristóbal Nettle, and Patricio Castillo Graphics: Camila Angel Alfaro Best regards from the organizing committee, — Yukie Nagai, Ph.D. Project Professor, The University of Tokyo nagai.yukie(a)mail.u-tokyo.ac.jp | http://developmental-robotics.jp CREST Cognitive Mirroring: http://cognitive-mirroring.org

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Open rank faculty position in Psychology at American University with a specialization in human neuroscience
by Laurie Bayet Sept. 5, 2019

Sept. 5, 2019

Dear colleagues, Please see the following link for an Open rank faculty position in Psychology at American University with a specialization in human neuroscience: http://apply.interfolio.com/67455. To ensure full consideration, application materials should be received by October 31, 2019. Please contact Catherine Stoodley, Search Committee Chair, at stoodley(a)american.edu with any questions or inquiries. All the best, Laurie Bayet -- Laurie Bayet, PhD Assistant Professor of Psychology, American University (202) 885-1719

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Fwd: Postdoctoral position in Computational Neuroscience of Social Decision-Making
by Kagan, Igor Sept. 5, 2019

Sept. 5, 2019

A postdoctoral position is immediately available in the Social Neuroscience Team, an innovative collaborative project between groups of Fred Wolf (Bernstein Centre for Computational Neuroscience and Campus Institute Dynamics of Biological Networks) and Alex Gail, Igor Kagan and Stefan Treue (Cognitive Neuroscience Laboratory, German Primate Center, http://www.dpz.eu/cnl) in Goettingen, Germany. The focus of the research is on theoretical foundations, computational modeling and analysis of behavioral and neurophysiological signals underlying social decision-making in humans and nonhuman primates (e.g. https://www.biorxiv.org/content/10.1101/314500v4) The scientist will collaborate closely with the experimentalists, who work on elucidating the neural basis supporting primate interactions in dynamic sensorimotor settings. Further scientific exhange within the Leibniz ScienceCampus Primate Cognition (https://www.primate-cognition.eu) will ensure a broad interdisciplinary framework for networking and cooperation. Candidates with a Ph.D. in Computational Neuroscience, Physics, Mathematics, Data Science or Engineering, an excellent research record, and a drive to work independently and collaboratively to solve conceptual and computational challenges, are encouraged to apply. A strong quantitative and theoretical skillset is a must, prior experience in cognitive sciences or neuroscience, and a background in relevant modeling and analysis of behavioral or neurophysiological data are a plus. Please send applications (letter of interest, CV and the names and contact information of two referees), or request for additional information, to compneuro-postdoc(a)dpz.eu -- Dr. Igor Kagan Head of Decision and Awareness Group, German Primate Center (DPZ) Kellnerweg 4, Goettingen 37077, Germany http://www.dpz.eu/dag

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Big models and big data workshop at SFN 2019
by Carnevale, Nicholas Sept. 5, 2019

Sept. 5, 2019

*NSG and HPAC – Large Scale Simulations and Data Processing* **** **A workshop on big models and big data in neuroscience, Saturday, Oct. 19, 2019 from 8:30 AM to 12:30 PM at a downtown Chicago location. *Summary* This workshop is intended for neuroscientists who need to use high performance computing (HPC) resources for computationally intensive tasks such as large modeling projects or analysis of neuroimaging data. It will examine resources offered by the Neuroscience Gateway Portal (NSG https://www.nsgportal.org/) and The Human Brain Project's High Performance Analytics and Computing Platform (HPAC https://hbp-hpc-platform.fz-juelich.de/) The workshop will combine hands-on instruction on how to use NSG, didactic presentations by NSG and HPAC developers, and discussions with experienced users of these resources. The registration deadline for this workshop is Friday, October 10, but you should sign up early because space is limited. See https://neuron.yale.edu/neuron/static/courses/nsg2019/nsg2019.html for more information and a link to the registration form. *Overview of NSG and HPAC* NSG eliminates most administrative and technical barriers, providing free CPU time to users, and easy access to widely used software that currently includes BluePyOpt, The Brain Modeling Toolkit (BMTK), Brian, CARLsim, DynaSim, EEGLAB, Freesurfer, Human Neocortical Neurosolver (HNN), Large Scale Neural Modeling Simulator (LSNM), MATLAB, MOOSE, NEST, NetPyNE, NEURON, Octave, PGENESIS, PyNN, Python, R, TensorFlow, and the Virtual Personalized Multimodal Connection Pipeline. NSG's web-based interface simplifies the tasks of uploading models or data, specifying job parameters, monitoring job status, and storing and retrieving output data. HPAC provides extensive HPC support for the HBP community. This includes developing and providing the hardware and software infrastructure required for large scale simulations, data management and analysis, visualization, and managing the complex workflows involved in performing these tasks.

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