November 2016 - Comp-neuro - lists.cnsorg.org

CFP: FLAIRS 2017, Marco Island, FL,
by bisant＠umbc.edu Oct. 18, 2018

Oct. 18, 2018

CALL FOR PAPERS FLAIRS 2017, Florida Artificial Intelligence Research Symposium Special Tracks on Data mining and Special Track on Cyber Security Marco Island, Florida http://www.flairs-30.info/ Paper submission deadline: November 21, 2016. Notifications: January 23, 2017. Camera ready version due: February 27, 2017. FLAIRS is an interdisciplinary artificial intelligence conference which especially encourages novel ideas and which features a double-blind review process. 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, such as Mahout or Apache Spark, are also encouraged. Cyber-Security Track Original high quality papers are sought for leading edge research and applications relating to the application of AI and Cyber Security. Topics of interest may include but are not limited to: · Machine Learning for Intrusion Detection Systems · NLP for text analysis in Cyber Security · Video and CCTV semantic analysis for terrorist or criminal action detection · AI & Biometrics, Internet of Things, and Cloud Computing security · AI & SCADA systems, Network Systems, and Embedded Systems security · Formal and theoretical approaches of intelligent security in WSNs · Legal and policy issues in intelligent security · Integrity, privacy, authentication and access control · Intelligent secure systems in multimedia databases · Social networks security · Intelligent incident response techniques in network and communication systems · Risk analysis and intelligent management · Virtual Private Networks intelligent security · Automated reasoning techniques of incidents and evidence analysis · Evidentiary aspects of digital forensics · Collaborative intelligent investigation · Intelligent systems in management, storage and reassembly · Steganography, watermarking, and forensic techniques in multimedia content processing · Lightweight security techniques · Intelligent Large-scale investigations and Big Data · Innovative non-repudiation techniques · Intelligent vulnerability analysis and assessment · Attacks tracking · Data hiding, tamper detection and recovery techniques · Security of e- healthcare systems and applications 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 21, 2016. For FLAIRS-30, the 2017 conference, the reviewing is a double blind process. Author names and affiliations should be Xd out on submitted papers to provide double-blind reviewing. Papers must be submitted as PDF through the EasyChair conference system, which can be accessed through the main conference web site (http://www.flairs-30.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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NeuroMorpho.Org v7.0 [10th anniversary edition] released September 1st, 2016
by NeuroMorpho Administrator April 4, 2017

April 4, 2017

Dear colleagues, We're excited to announce that almost exactly 10 years after the original launch, NeuroMorpho.Org passed the milestone of 50,000 reconstructions in the September 1, 2016 release of Version 7.0. This major update includes 12,693 additional reconstructions from 35 new datasets. The new data added in these last 6 months equal the total amount accumulated in the first seven years. This release also introduce several new functionalities, including (1) bibliography documenting data re-use from nearly 500 citations; (2) ontology-smart searches by species, brain regions, neuron types, and experimental conditions; (3) DOI minting capability for each article-associated dataset; and (4) API enabling object-oriented access to data and metadata. The literature coverage database was also updated to include publications through August 2016. Please visit the What's new page<http://neuromorpho.org/WIN.jsp> for details on the added data and other updates. We appreciate any and all feedback and comments. We are continuously grateful to all the data contributors<http://neuromorpho.org/acknowl.jsp#DC> who freely share their hard-won tracings with the community. Our apologies if you receive multiple versions of this message through cross-listing. Sincerely, The NeuroMorpho.Org team<http://neuromorpho.org/acknowl.jsp#NMO> ---------------- Giorgio Ascoli<http://krasnow1.gmu.edu/cn3/ascoli>, PhD University Professor Director, Center for Neural Informatics, Structure, & Plasticity<http://krasnow1.gmu.edu/cn3> Neuroscience Program<http://neuroscience.gmu.edu/>, Krasnow Institute for Advanced Study<http://krasnow1.gmu.edu/> Bioengineering Department<http://bioengineering.gmu.edu/>, Volgenau School of Engineering<http://volgenau.gmu.edu/> MS2A1 - George Mason University<http://gmu.edu/>, Fairfax, VA 22030-4444 Ph. +1(703)993-4383/+1(703)673-8894 Author of "Trees of the Brain, Roots of the Mind<http://www.amazon.com/Trees-Brain-Roots-Giorgio-Ascoli/dp/0262028980/>" (MIT Press, 2015<http://mitpress.mit.edu/books/trees-brain-roots-mind>) Founding Editor-in-Chief, Neuroinformatics<http://link.springer.com/journal/12021>

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Engineer/Post-doc in Computational Neuroscience
by Irene Yujnovsky Nov. 30, 2016

Nov. 30, 2016

*Engineer/Post-doc in Computational Neuroscience*** *Institute of System Neuroscience (INS**), UMR1106 AMU-Inserm, Marseille, FRANCE*** ** An engineer/post-doctoral position**is open in the Theoretical Neuroscience Group (TNG) <http://ins.univ-amu.fr/research-teams/theoretical-neurosciences-group/>directed by Viktor JIRSA at the Institute of System Neuroscience (INS) for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (see http://www.thevirtualbrain.org) *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, dynamic system theory) and/or data fitting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environmentsand possess excellent programming skills. Experience using The Virtual Brain platform and development of clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by December 31^st 2016 to: *Dr. Irene Yujnovsky* at irene.yujnovsky(a)univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can be found at: http://bit.ly/29kub1k -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Systèmes Inserm UMR1106 Université Aix-Marseille Faculté de Médecine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email: irene.yujnovsky(a)univ-amu.fr Website: http://epinext.org/

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Postdoctoral Position: Modeling of aging cortical networks
by Christina M. Weaver Nov. 30, 2016

Nov. 30, 2016

Postdoctoral Position: Modeling of aging cortical networks A postdoctoral research fellowship in computational neuroscience is available to work with Christina Weaver (Dept. of Mathematics, Franklin & Marshall College, Lancaster, PA). The postdoctoral fellow will be a vital member of the interdisciplinary research team led jointly by Dr. Weaver, Dr. Jennifer Luebke (Dept of Anatomy & Physiology, Boston University School of Medicine, Boston MA), and Dr. Patrick Hof (Dept. of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY). The research will explore structural and functional abnormalities of cortical neurons in middle-aged rhesus monkeys, and the extent to which intervention with a powerful antioxidant affects age-related dysfunction. The new postdoctoral fellow will build computational models of small cortical networks, constrained by our recent computational results and empirical studies in the Luebke and Hof laboratories. Our joint publications include: Amatrudo et al., J. Neurosci.(2012), PMID 23035077; Luebke et al., Cerebral Cortex (2015), PMID 24323499 and Rumbell et al., J. Comput. Neuro. (2016), PMID 27106692. The postdoc will travel occasionally to Boston and/or New York City as part of this collaboration. The postdoc will also have funds to support conference travel, professional development, and full access to campus services including F&M's Faculty Center. Applicants should have a strong background or interest in computational neuroscience and have a keen interest in interdisciplinary approaches that integrate modeling, imaging, and physiological experiments in neuroscience research. Initial appointment for this position is for one year, and may be extended contingent upon funding. Review of applications will begin immediately and will continue until the position is filled. Requirements: - PhD or equivalent in computational neuroscience, applied mathematics, or a related field from an accredited institution is required. - Excellent written and verbal communication skills are required. - Experience with differential equations-based mathematical models or automated parameter optimization is required. - Experience with conductance-based modeling of single neurons, or small networks, and/or NEURON compartmental modeling software is preferred. An extended job posting and link to apply is available at https://fandm.interviewexchange.com/jobofferdetails.jsp?JOBID=79194

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Research Fellow Position in Neuroinformatics
by Leon French Nov. 30, 2016

Nov. 30, 2016

The Computational Neurobiology Laboratory at CAMH seeks a postdoctoral fellow to join our efforts to understand brain disease. We focus on mining datasets of connectivity, gene expression and epigenetics across the genome and the brain. We employ multifaceted approaches that gain information by using data that crosses scales, modalities, and species. We seek one postdoctoral fellow interested in bioinformatics and neuroscience. The primary project will be to create, explore, and test methods for mapping many genes across neuroanatomy and brain development. Given the polygenic complexity of mental illness, there are many exciting applications for these methods. Our current applications use genes associated with Parkinson’s disease, aging (collaboration with Dr. Etienne Sibille) and intellectual disability (with Dr. John B. Vincent). In addition to this project, there would be opportunities to pursue other research interests. Some of our frequently used keywords give a good description of our work: neuroinformatics, molecular neuroanatomy, genetics, epigenomics, population neuroscience, transcriptomics, machine learning, text mining, neuroimaging, software development, and connectomics. The ideal candidate should have a PhD in computational biology, bioinformatics, computer science or related field with extensive knowledge in genome-wide data integration. Significant interest in neuroscience and experience working with large datasets are requested. Writing manuscripts and applying for independent grants and fellowships will be strongly encouraged. Highly motivated individuals (Ph.D. and/or M.D.) should submit a curriculum vitae, names of 3 references and a cover letter explaining their interest, and a brief description of research experience. Send information to Leon French at leonfrench+recruit(a)gmail.com You will support a healthy workplace that embraces diversity, encourages teamwork and complies with all applicable and regulatory requirements. This position will be located at 250 College Street, Toronto.

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Poostdoctoral Position - Jorge Riera on Behalf of Dr. Zachary Danziger) (Applied Neural Interfaces)
by Jorge Riera Diaz Nov. 30, 2016

Nov. 30, 2016

POSTDOCTORAL RESEARCH ASSOCIATE POSITION A postdoctoral research position is available to develop validation systems and decoding algorithms for brain-computer interface applications. Investigations will take place at the Applied Neural Interfaces Laboratory in Florida International University's Department of Biomedical Engineering, which is housed in the College of Engineering and Computing. The position entails software development, conducting human behavioral studies, and algorithm design with the goal of advancing the frontiers of brain-computer interface research and understanding the relationship between human users and adaptive controllers. The postdoctoral scholar will be expected to lead experiment design and data analysis efforts as well as participate in guiding the overall intellectual direction of the project. The position will allow the postdoctoral researcher the opportunity to creatively develop new solutions to challenging problems related to the neuroscience of braincomputer interfaces using state-of-the-art algorithms, advanced computing equipment, and virtual reality hardware. Applicants should have a Ph.D. in biomedical engineering, neuroscience, or a related field and have experience with MATLAB. For information about related projects see: https://anil.fiu.edu/ Qualified candidates are encouraged to apply to Job Opening ID 512642 at facultycareers.fiu.edu or directly to the Principal Investigator, Dr. Zachary Danziger (Zachary.Danziger(a)fiu.edu) with a letter of interest, curriculum vitae, and the names and contact information for at least 3 references. To receive full consideration, applications and required materials should be received by December 30th. Review will continue until position is filled. FIU is a member of the State University System of Florida and an Equal Opportunity, Equal Access Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. Florida International University is classified by Carnegie as a R1: Doctoral Universities - Highest Research Activity and recognized as a Carnegie engaged university. It is a public research university with colleges and schools that offers 196 bachelor's, master's and doctoral programs in fields such as engineering, computer science, international relations, architecture, law and medicine. As one of South Florida's anchor institutions, FIU contributes almost $9 billion each year to the local economy. FIU is Worlds Ahead in finding solutions to the most challenging problems of our time. FIU emphasizes research as a major component of its mission. FIU has awarded more than 220,000 degrees and enrolls more than 54,000 students in two campuses and three centers including FIU Downtown on Brickell, FIU@I-75, and the Miami Beach Urban Studios. FIU's Medina Aquarius Program houses the Aquarius Reef Base, a unique underwater research facility in the Florida Keys. FIU also supports artistic and cultural engagement through its three museums: Patricia & Phillip Frost Art Museum, the Wolfsonian-FIU, and the Jewish Museum of Florida-FIU. FIU is a member of Conference USA and has more than 400 student-athletes participating in 18 sports. For more information about FIU, visit http://www.fiu.edu/. Jorge Riera, PhD Associate Professor Dept. Biomedical Engineering Florida International University Miami, FL 33174 Tel. 305 348 4948 Email. jrieradi(a)fiu.edu<mailto:jrieradi@fiu.edu>

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Workshop on Tactile coding and neuroprostheses
by Alberto Mazzoni Nov. 30, 2016

Nov. 30, 2016

Dear all, the workshop on tactile coding taking place in the The Biorobotics Institute of the Scuola Superiore Sant'Anna in the next two days (see below) will be available for streaming on the Facebook page of the Institute https://www.facebook.com/istitutobioroticascuolasuperioresantanna/ the full program is now available in .pdf form here sssa.bioroboticsinstitute.it/events/TFN2016 ----------------------------------------------------------------------------------------------- *Workshop on Tactile coding and neuroprostheses * *December 1-2 2016, Pontedera (Pisa) - Italy * *@ The Biorobotics Institute of the Scuola Superiore Sant'Anna* *ABSTRACT* Neurophysiology of touch and development of artificial tactile sensation are two fields of research with an ever-increasing interchange. Advanced neuroprostheses are progressively focusing on reproducing the naturalistic processing of tactile sensations in the peripheral and central nervous system. In turn, biomimetic tactile sensors and behavioral studies on patient implanted with tactile neuroprostheses can contribute to the understanding of tactile coding. This workshop aims at fostering the integration of neurophysiological, computational and robotics studies on touch with contribution of leading experts in the different fields. *WORKSHOP SESSIONS* *Neurophysiology of touch *- keynote speaker *Roland S Johannson* (Umea University, Sweden) *Touch perception and tactile coding *- keynote speaker *Vincent Hayward* (Institut des Systèmes Intelligents et de Robotique, Paris, France) *Touch restoration, neuroprostheses and biorobotics *- keynote speaker *Sliman Bensmaia* (University of Chicago, USA) *DETAILS* The workshop takes place on the premises of The Biorobotics Institute of Scuola Superiore Sant'Anna, viale Rinaldo Piaggio 24, in Pontedera (15 mins by train from Pisa, 50 mins from Florence). The event is free, but registration is compulsory. *To register, please write to local organizer Alberto Mazzoni (a.mazzoni(a)sssup.it <a.mazzoni(a)sssup.it>)* *ORGANIZERS* Silvestro Micera (Scuola Superiore Sant'Anna, Pisa, Italy / École polytechnique fédérale de Lausanne, Switzerland) Henrik Jorntell (Lund University, Sweden) Calogero Oddo (Scuola Superiore Sant'Anna, Pisa, Italy) Alberto Mazzoni (Scuola Superiore Sant'Anna, Pisa, Italy) *ACKNOWLEDGMENTS* Italian Ministry of Foreign Affairs and International Cooperation, Directorate General for Country Promotion (Economy, Culture and Science)—Unit for Scientific and Technological Cooperation, via the Italy-Sweden bilateral research project on "Brain network mechanisms for integration of natural tactile input patterns", NEBIAS European project (EUFP7-ICT-611687) and Scuola Superiore Sant'Anna fund IEXERC14AM.

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Job Opening: Computational Neuroscience Research Assistant
by Jonathan Nicholas Nov. 29, 2016

Nov. 29, 2016

Hello all, Please see the following ad for a full-time computational neuroscience RA: Computational Neuroscience Research Assistant Position at Stanford University: Stanford University has an opening for a talented research assistant with strong computational and programming skills. This is an exciting opportunity to work with a multidisciplinary research team (http://scsnl.stanford.edu) on a wide range of studies of human brain function and dysfunction. The successful candidate will assist lab members with neuroimaging data analysis and data organization and management. He/She will have opportunities to develop and apply novel multimodal data analysis techniques and to co-author research publications. Experience with Matlab, Python, R, signal and image processing, machine learning, statistics, databases, Linux, and shell scripting is required. Experience in neuroimaging/neural data analysis is desired. Excellent organizational and interpersonal communication skills are required. We are seeking talented and enthusiastic candidates with a strong background in biomedical engineering, computer science, physics, mathematics, statistics, computational neuroscience, quantitative psychology, or related subjects. Stanford offers a highly competitive salary with excellent health and retirement benefits. A two-year commitment is required. Please email a CV, a statement of research interests and career goals, and contact information for three references to scsnl.stanford+quantitative(a)gmail.com Thanks, Jonathan

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Fully-funded four-year PhD studentship in Computational Neuroscience at Imperial College London
by Reichenbach, Johann D T Nov. 28, 2016

Nov. 28, 2016

An exciting PhD project in Computational Neuroscience is available for UK/EU candidates in the group of Tobias Reichenbach (http://www.bg.ic.ac.uk/research/reichenbach/index.html) at Imperial College London. The student will develop state-of-the art neuronal network models to investigate the effects of complex spatio-temporal neurostimulation on speech processing. The model development and results will be linked with ongoing experiments, and will pave the way to a novel rehabilitation from neural impairments with speech comprehension. The PhD position is part of the Center for Neurotechnology (http://www.imperial.ac.uk/neurotechnology/cdt) at Imperial College London. The successful candidate will join an international cohort of PhD students working on cutting-edge topics of computational and experimental neuroscience and engineering. To apply please visit the Centre's project page (http://www.imperial.ac.uk/neurotechnology/cdt/projects/) access the tab "Projects available for Oct 2017" and select the project "Developing a novel type of neurostimulation to foster speech processing and rehabilitation from aphasia". Deadline is the 31st of January 2017. ------------------------------------------- Tobias Reichenbach Lecturer, Biophysics of Hearing Editor, Heliyon Department of Bioengineering Imperial College London South Kensington Campus SW7 2AZ London, UK http://www.bg.ic.ac.uk/research/reichenbach/

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Graduate assistantships in Computational Science at FSU
by Gordon Erlebacher Nov. 28, 2016

Nov. 28, 2016

Florida State University Graduate student assistantships available for Ph.D. and M.S. degree programs in Computational Science The Department of Scientific Computing at Florida State University offers innovative M.S. and Ph.D. degree programs in Computational Science. Graduate teaching and research assistantships are available for qualified, motivated students who are interested in receiving cross-disciplinary training in computational science. Many, if not most interdisciplinary degree programs and schools, including those in computational science, are jointly administered by several departments. Florida State University has created an independent department, the Department of Scientific Computing, that offers truly cross-disciplinary graduate degree programs in computational science. All faculty, postdoctoral associates, and students associated with the Department of Scientific Computing have offices in the same building, leading to a supportive, synergetic, environment in which the varied aspects of research and education in computational science are not only supported, but is a way of life. For more information about the Department of Scientific Computing and its graduate degree programs, please go to http://www.sc.fsu.edu. Over the last few decades, computations have joined theory and experimentation to form the three pillars of scientific discovery and technological design. Computational science can be viewed as residing at the intersection of traditional disciplines such as mathematics, computer science, statistics, engineering, and the sciences. Thus, computational science draws from but is not a subset of any of these disciplines. Due to the cross-disciplinary nature of computational science, it is essential that a computational scientist be trained in a setting that incorporates all the components that make up computational science. The Department of Scientific Computing is uniquely positioned to offer such training because it composed of truly cross-disciplinary faculty with strong computational backgrounds in the fields of biology, computer science, engineering, geophysical science, mathematics, material science, physics, and statistics, with an even broader spectrum of disciplines through collaborations within and outside Florida State. Students enrolled in the Ph.D. program in Computational Science can choose several areas of specialization. In addition to the major track, which trains students interested in the mathematical and computer science aspects of computational algorithms that can be applied to a wide range of disciplines, we offer tracks in atmospheric science, biochemistry, biological science, geological science, materials science, and physics. Soon, we will add a track in computational intelligence. Students following these tracks gain expertise in computational issues specifically related to the chosen field. All students, however, will be involved in truly cross-disciplinary training and research. The Department of Scientific Computing maintains a large and diverse computing infrastructure in support of research and education. Available computing resources include supercomputers, a number of clusters and computational servers, and multi-core workstations with advanced graphics cards available, and other specialized hardware. Florida State University is a national graduate research university which has built a reputation as a strong center for research in the sciences. It is located in Tallahassee, FL which is situated in the Florida panhandle and is near some of the most beautiful, uncrowded beaches in the United States as well as other scenic wonders. Applications are being accepted now for Fall 2017. Assistantships are available for qualified individuals. Minorities and women are especially encouraged to apply. Applicants should hold, by the time of entry into the graduate program, a baccalaureate degree in a natural science, engineering, computer science, mathematics, or statistics. Interested applicants should go to http://www.sc.fsu.edu/graduate/application, where detailed instructions about how to apply are given. Requests for more information and questions about the graduate programs or about the Department of Scientific Computing should be addressed to Dr. Sachin Shanbhag (Graduate Coordinator) at sshanbhag(a)fsu.edu or Gordon Erlebacher (Chair) at gerlebacher(a)fsu.edu. -- Gordon Erlebacher Chair, Department of Scientific Computing

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