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CFP: ICDM Workshop HealthMining 2015 and HISS Special Issue (Deadline: July 20, 2015)
by william July 8, 2015

July 8, 2015

[Please accept our apologies if you receive multiple copies of this email] CALL FOR PAPERS (Submission Deadline: July 20, 2015) HEALTHMINING 2015 - The ICDM Workshop on Data Mining and Decision Analytics on Public Health and Wellness (URL: http://www.comp.hkbu.edu.hk/~healthmining2015/) In conjunction with the IEEE International Conference on Data Mining (ICDM 2015) AIMS and SCOPE For many years, data mining and decision analytics techniques have already been extensively applied to various domains, such as smart environments, social networks, marketing, and web technology. The focus of this workshop is mainly on the issues and challenges of data mining techniques with the purpose of improving human well-being and quality of life. It is expected that the workshop may increase the diversity of application areas that can benefit from data mining. At the same time, it is also desirable that the discussion and vision of this workshop would also offer further insights into, as well as new tools for, the issues of data collection, processing, system modeling, simulation and optimization arising from various public health topics. The objective of this workshop is to serve as a venue for researchers to discuss how data mining and analytics methods can contribute to improving public health quality in clinical, medical/biomedical, and healthcare systems in smart ways, including evidence-based medicine, personalized treatment and healthcare, assistive technology and active surveillance and control of diseases. In addition to mining statistical regularities, associations, or causalities from large-scale health-related datasets, it would be more desirable to further investigate how the results can effectively and efficiently support decision-making, system modeling, optimization, and simulation in various healthcare systems. TOPICS OF INTEREST - Large-scale data acquisition and management issues for public health - Social and other network-based analysis for public health - Medical big data mining and innovative applications - Mining risk patterns in medical data - Mental and physical health data integration - Biomarker discovery and biomedical data mining - Clinical data mining for practice knowledge building - Data mining from clinical decision-making, and practitioner reflection - Data mining from genetic data of diseases - Data mining for disease profiling and personalized treatment - Data mining for (active) syndromic surveillance - Data mining for infectious/chronic disease epidemiology and control - Data mining for exploring hidden patterns in clinical systems - Data mining for medical/biomedical, and healthcare systems - Data mining for assistive environments - Data modeling and information management forpervasive assistive environments - Data mining and knowledge modeling for wellness - Spatiotemporal data exploration and mining of diseases - Unstructured data mining in medicine and healthcare - Semantic data mining in medicine and healthcare - Scalable data integration in medicine and healthcare - Evidence-based decision-support systems - Healthcare knowledge abstraction, classification, and summarization - Healthcare knowledge computerization, execution, inference, and representation IMPORTANT DATES - Paper Submission Due: Jul 20, 2015 - Paper Notification Date: Sep 1, 2015 - Workshop Date: Nov 13, 2015 >>> SPECIAL ISSUE <<< Selected papers of the workshop will be invited for revision to be included in a special issue to be published in Health Information Science and Systems (URL: http://www.hissjournal.com/) ORGANIZING COMMITTEE - William K. Cheung, Hong Kong Baptist University, Hong Kong - Jiming Liu, Hong Kong Baptist University, Hong Kong - Parisa Rashidi, University of Florida, USA - Fei Wang, University of Connecticut, USA Department of Computer Science: http://www.comp.hkbu.edu.hk HKBU Faculty of Science: http://www.sci.hkbu.edu.hk Disclaimer: http://www.comp.hkbu.edu.hk/disclaimer

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New computational challenge on Big Data and neurodegenerative diseases
by Neta Zach July 7, 2015

July 7, 2015

Prize4Life, Sage Bionetworks and DREAM are proud to announce the launch of The DREAM ALS Stratification Prize4Life Challenge <https://www.synapse.org/#!Synapse:syn2873386/wiki/>. The prize, is a computational challenge inviting bioinformatics, statisticians, computation geeks and math geniuses to work on the PRO-ACT database and identify meaningful subgroups of ALS patients. The challenge offers a $28000 prize and journal partnership with Nature Biotechnology. You can read more about it here <http://www.jpost.com/Business-and-Innovation/Health-and-Science/Israel-base…> or join our Webinar about it on Wednesday <https://attendee.gotowebinar.com/register/2656120293543998721> July 8 at 11am EST. While most ALS patients die with 3-5 years, but some patients, like Stephen Hawking, survive much longer. What differentiates the Stephen Hawkings from the Lou Gehrigs? Is ALs one disease or several sub-disease? the challenge invite participants to devleop algorithms that can stratify the ALS patient population into meaningful subgroups with distinct features. You can read more about it here <http://www.jpost.com/Business-and-Innovation/Health-and-Science/Israel-base…> . A previous Challenge, the ALS Prediction Prize <http://www.innocentive.com/prize4life-announces-50000-als-prediction-prize-…> which ran in 2012, using only a small subset of the full database, led to the creation of solutions that are able to reduce by 20% the number of patients needed for effective ALS clinical trials, a millions of dollars reduction in the costs of each future ALS clinical trials and are used by several drug companies. Furthermore, the Challenge’s winning algorithms identified novel features of ALS pathology that are predictive of disease progression. The Challenge summary was published in Nature biotechnology <http://www.nature.com/nbt/journal/v33/n1/full/nbt.3051.html> and were also covered by Science News <http://news.sciencemag.org/brain-behavior/2014/11/crowdsourcing-project-pre…> , Science Translational Medicine <http://stm.sciencemag.org/content/6/264/264ec204.full> and a News and views piece in Nature biotechnology <http://www.nature.com/nbt/journal/v33/n1/full/nbt.3118.html>. The ALS Stratification Challenge aims to go beyond the prediction prize and bring us one step closer to personalized medicine- to accurately and effectively identify meaningful subgroups of diverse ALS patients and the predictive models and features specific to these subgroups. Winners will win $28000 and the winning submissions with be published with a journal partnership from Nature Biotechnology. You can read more- and Join!- here <https://www.synapse.org/#!Synapse:syn2873386/wiki/> Neta Zach, PhD | Chief Scientific Officer

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PhD positions at LMU Munich
by Stefan Glasauer July 6, 2015

July 6, 2015

Two PhD positions are available at Ludwig-Maximilians-Universität (LMU) München for a fixed term of 36 months, starting 1st September 2015. Both positions are linked to the research projects “Dynamic prior and contextual calibration”, which is a part of the newly funded German research group “active perception”. The project aims to uncover the mechanism underlying dynamic contextual calibration in multimodal environments, and to develop a general Bayesian framework describing the prior updating mechanisms in contextual calibration. In particular, we plan to focus on central tendency effects (for a review, see Shi, Church & Meck, 2013, Petzschner & Glasauer, 2015) in multimodal magnitude estimation. The project is expected to establish a general computational framework to examine whether the brain uses multiple modality-specific priors or an amodal prior in contextual calibration, and how the brain resolves inconsistencies among priors, as well as how action priors are taken into consideration in magnitude estimation. Successful candidates should have an excellent M.Sc. degree, or equivalent (or be currently working towards one) in a field of cognitive or computational neuroscience. Computational modeling and programming skills in MATLAB and R are essential. Good verbal and written communication skills in English, interest and some experience in multi-disciplinary research are highly desirable. Successful candidates will be paid according to German salary scale 65% TVL-13. One candidate will work in Department of Psychology, LMU under the supervision of Zhuanghua Shi, and the other candidate in the Center for Sensorimotor Research, LMU under the supervision of Stefan Glasauer. Applicants should send a completed application form along with a cover letter detailing their research experience and interests, a CV and two academic references electronically to either Zhuanghua Shi (shi(a)psy.lmu.de) or Stefan Glasauer (s.glasauer(a)lrz.uni-muenchen.de) The closing date for applications is August 1st, 2015. Shortlisted candidates will be invited for interview at the beginning of August. We regret that we may not be able to respond to all applications. Applicants who have not received an offer by the end of August 2015 should consider their application has been unsuccessful on this occasion. LMU Munich is an equal opportunity employer. Applications of women and disabled persons – given similar qualification – are preferred. Applicants with children are welcome. Part-time employment is possible in principle. ------------- Dr. Zhuanghua Shi Experimental Psychology, Department Psychologie LMU München Tel: (+49) 89 2180 5213 Fax: (+49) 89 2180 5211 Lab: http://www.psy.lmu.de/exp/mlab/

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Event-Driven Retina IC Designer Position
by bernabe July 6, 2015

July 6, 2015

Apologies for Cross-Posting --------------------------- The Sevilla Microelectronics Institute (www.imse-cnm.csic.es) from the Spanish Research Council (www.csic.es) is seeking a post-doc (or highly experienced researcher) with strong analog IC design experience, preferably in vision sensors (but not mandatory). The work to be carried out will be in collaboration with French company Chronocam (http://www.chronocam.com) with the goal of developing new generations of Event-Driven Dynamic Vision Sensors. Salary is negotiable depending on experience and qualifications. Contract is for one year, extensible to two. Later on, if progress is satisfactory, the contract could be extended further or the candidate could be incorporated into Chronocam's staff. Interested candidates please contact directly bernabe(a)imse-cnm.csic.es. -- -- ------------------------------------------------------------------------- Bernabe Linares-Barranco, PhD, IEEE Fellow Full Professor (Profesor de Investigacion) CSIC Instituto Microelectronica Sevilla (IMSE) Phone: 34-954-466643/66 National Microelectronics Center, CNM-CSIC Fax: 34-954-466600 Av. Americo Vespucio s/n E-mail: Bernabe.Linares(AT)imse-cnm.csic.es 41092 Sevilla, SPAIN URL: http://www.imse-cnm.csic.es/~bernabe -------------------------------------------------------------------------

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Post-doc in multimodal neuroimaging in Munich, Germany
by Igor Yakushev July 5, 2015

July 5, 2015

A postdoctoral position is available immediately in the Neuroimaging group (Head: Dr. Igor Yakushev) at the Department of Nuclear Medicine, Technische Universität München (TUM), Munich, Germany. Projects with include the modeling of cerebral networks and disease trajectories on the basis of brain images, as obtained using PET (amyloid, FDG), DTI, and fMRI. The group's clinical focus is neurodegenerative disorders, in particular Alzheimer’s disease. Existing data sets will provide the basis for prompt data analysis and publications. The research group is integrated into the TUM Neuroimaging Center, which possesses a broad methodological and thematic expertise: http://www.tumnic.mri.tum.de/tumnic/index.html The Dept. of Nuclear Medicine offers exciting opportunities for neuroimaging research in an interdisciplinary environment and access to state-of-the-art technology including a hybrid PET/MR scanner. You should hold a PhD or equivalent degree in a relevant discipline (e.g., computer sciences, engineering, physics, mathematics, neuroscience, medicine). Experience in image analysis tools (SPM, FSL, FreeSurfer) is desirable. Solid knowledge of programming (Matlab, Java) and statistics (SPSS, SAS, R) is advantageous. Salary is according to TV-L. The position is limited for two years, with a possibility of extension. Applications will be considered until the position has been filled. Interested researchers should submit their applications including CV, two recommendation letters (or names and contact details of personal references), and a brief letter of motivation to Dr. Yakushev at igor.yakushev(a)lrz.tum.de

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Autumn school on sensorimotor foundations of social cognition
by Alexander Maye July 3, 2015

July 3, 2015

"The sensorimotor foundations of social cognition" Autumn school Boltenhagen, Baltic Sea, Germany October 11-17, 2015 Description Sensorimotor approaches predict that social cognition does not primarily result from maintaining and running complex models of intentions and beliefs of other agents, but rather from patterns and regularities in the dynamic sensorimotor coupling between them. The school will take stock of concepts and models that follow this emerging view and illuminate them from the perspectives of relevant fields like social psychology, social cognitive neuroscience, robotics and philosophy of mind. Tangible outcomes of the school will be a set of articles on selected aspects of sensorimotor accounts of social cognition which will be authored by the participants and published in Scholarpedia (scholarpedia.org) The school will be the first in a series which is funded and organized by the EU H2020 project "Socializing sensorimotor contingencies - socSMCs" (socSMCs.eu). This year the school is organized by the Dept. of Neurophysiology at the University Medical Center Hamburg-Eppendorf (uke.de/neurophysiology). The registration fee is 300Ä and covers participation in the school, accommodation in a single room, breakfast, lunch and three dinners. A reduced fee of 200Ä is requested from participants willing to share a double room. Participants will have to cover their own travel expenses. Content The five-day school will be structured around the following themes: * Enactive and embodied views on social cognition * Non-reductionist, interaction-based approaches to social cognition * Entrainment vs. emulation and mindreading * Dynamical systems theory and social cognition * Neural mechanisms of social interaction: toward a second-person neuroscience * Mutual prediction and adaptation in social interaction * Motor resonance during human-robot interaction The school will comprise keynote lectures in the mornings and discussion groups in the afternoons which serve for in-depth discussions of topics from the keynote lectures. Results from these discussions will be summarized and structured in drafts for Scholarpedia articles. Confirmed Speakers: Luciano Fadiga, University of Ferrara and IIT Genua, Italy Tom Froese, National Autonomous University of Mexico, Mexico D.F. Mattia Gallotti, University College London, UK Peter E. Keller, University of Western Sydney, Australia Christian Keysers, Netherlands Institute for Neuroscience, Amsterdam, John A Michael, Central European University, Budapest, Hungary Albert Newen, Ruhr University Bochum, Germany Andreas Roepstorff, Aarhus University, The Netherlands Giulio Sandini, IIT Genua, Italy Cordula Vesper, Central European University, Budapest, Hungary Kai Vogeley University of Cologne, Germany Date and location The school will take place from Oct. 11-17, 2015, in Boltenhagen, a nice little beach resort at the Baltic Sea and close to Hamburg (http://www.iberotel.de/iberotel-boltenhagen-ostsee-deutschland.html) Important dates: - Application deadline: August 2, 2015 - Notification of acceptance: August 14, 2015 - Summer school: October 11-17, 2015 - Technical program: October 12-16, 2015 How to apply: The school is open to PhD students and postdocs who are working on the themes addressed. Interested participants shall submit written information on their scientific background, projects involved, and motivation to attend. Admission will be on a competitive basis. Applications should be sent via email to school2015(a)socSMCs.eu. Please state on a single page (11pt font): - Your scientific background and degree - Your motivation to come to this school - The topic of your thesis (if appropriate) - Any prior knowledge in the field Further information: The forerunner project "Extending sensorimotor contingencies to cognition - eSMCs" (2011-2014) funded previous schools in this series like "The future of the embodied mind", held 2011 in San Sebasti·n, Spain (summerschool2011.esmcs.eu), the "Barcelona cognition, brain and technology summer school" in 2012 (bcbt.upf.edu/bcbt11, co-funded) and "Embodiment and Morphological Computation", held at the University of Zurich in 2013 (www.ifi.uzh.ch/ailab/summerschool2013) For further questions, please contact us: school2015(a)socSMCs.eu. -- _____________________________________________________________________ Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg | www.uke.de Vorstandsmitglieder: Prof. Dr. Burkhard Göke (Vorsitzender), Prof. Dr. Dr. Uwe Koch-Gromus, Joachim Prölß, Rainer Schoppik _____________________________________________________________________ SAVE PAPER - THINK BEFORE PRINTING

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Postdoctoral Position in Computational Neuroscience at IUPUI
by Yaroslav Molkov July 2, 2015

July 2, 2015

A postdoctoral/research associate position in computational neuroscience for the duration of up to two years is available in the externally funded project focusing on multiscale computational modeling of motor control mechanisms, involving interactions between basal ganglia, thalamus, cerebellum, cortex, and spinal cord in connection with realistic simulation of pathological changes in motor control during Huntington’s disease. This collaborative project is performed jointly by the groups of Drs. Ilya Rybak (Dept. of Neurobiology and Anatomy, Drexel University, Philadelphia, PA, USA) and Yaroslav Molkov (Dept. of Mathematical Science, Indiana University – Purdue University, Indianapolis, IN, USA). Applicants must have a PhD degree in Neuroscience, Applied Mathematics, Physics, or a related discipline, a strong research record, and excellent C++ programming skills. Previous experience in computational neuronal modeling is a plus. Interested candidates are encouraged to contact Dr. Molkov ( ymolkov(a)iupui.edu) by email. To apply, please send an email along with (1) curriculum vitae; (2) a cover letter describing previous research experience and interests; (3) the names and contact information of three references. ================================= Yaroslav Molkov, Ph.D. Assistant Professor Indiana University - Purdue University at Indianapolis Department of Mathematical Sciences 402 N. Blackford St, LD 270, Indianapolis, IN 46202 Office: LD 224U Phone: (317) 274-6934 Fax: (317) 274-3460 Email: ymolkov(a)iupui.edu

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Postdoc position in Computational Neuroscience in the Clopath lab.
by Claudia Clopath July 1, 2015

July 1, 2015

Postdoc position in Computational Neuroscience in the Clopath lab. ----------------------------------------------------- Computational Neuroscience Laboratory Headed by Dr. Claudia Clopath Department of Bioengineering Imperial College London -----------------Requirements:----------------- The Computational Neuroscience Laboratory, headed by Dr. Claudia Clopath, is looking for a talented Postdoc, interested in working in the field of computational neuroscience, specifically addressing questions of learning and memory. The perfect candidate has a strong mathematical, physical or engineering background (or equivalent), and a keen interest in biological and neural systems. A PhD in the field of computational neuroscience is a plus. PostDoc funding is secured for at least 2 years. -----------------Research topic:----------------- Learning and memory are among the most fascinating topic of neuroscience, yet our understanding of it is only at the beginning. Learning is thought to change the connections between the neurons in the brain, a process called synaptic plasticity. Using mathematical and computational tools, it is possible to model synaptic plasticity across different time scales, which helps understand how different types of memory are formed. The PostDoc candidate will be working to build those models of synaptic plasticity, and study the functional role of synaptic plasticity in artificial neural networks. ----------------- The lab:----------------------- The Computational Neuroscience Laboratory is very young and dynamic, and publishes in prestigious journals, such as Nature and Science. It is part of the Department of Bioengineering, which conducts state-of-the-art multidisciplinary research in biomechanics, neuroscience and neurotechnology. The lab is at Imperial College London, the 3rd ranked university in Europe, is in the top 10 worldwide, and is located in the city centre of London. More information can be found at: http://www.bg.ic.ac.uk/research/c.clopath/lab/ <http://www.bg.ic.ac.uk/research/c.clopath/> ----------------- How to apply:----------------- Candidates should send a single pdf file, consisting of a 1-page motivation letter and CV (including publication list) to clopathlab.imperial(a)gmail.com, with the subject containing 'Postdoc2015'. In addition, candidates should organize two letters of reference to be sent to clopathlab.imperial(a)gmail.com. The position is open until filled but the earlier applications will be considered first.

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Increased Impact Factor (2014/15) and Table of Contents Alert: Cognitive Computation journal (Springer): Vol.7, No.3 / June 2015 Issue
by Dr Amir Hussain June 30, 2015

June 30, 2015

Dear Colleagues: (with advance apologies for any cross-postings) We are delighted to announce the publication of Volume 7, No.3 / June 2015 Issue, of Springer's Cognitive Computation journal - www.springer.com/12559 ================================================================ Important News: Increased Impact Factor & Six bi-monthly Journal Issues from 2015! ================================================================ As you will know, Cognitive Computation was selected for coverage in Thomson Reuter’s products and services in 2011. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ♦ Science Citation Index Expanded (also known as SciSearch®) ♦ Journal Citation Reports/Science Edition ♦ Current Contents®/Engineering Computing and Technology ♦ Neuroscience Citation Index® Cognitive Computation received its first Impact Factor (IF) of 1.0 in 2011 The IF for 2014 has increased to 1.44 (Thomson Reuters Journal Citation Reports® 2014) Many congratulations to the editors, reviewers and authors! Want to be part of the growing success? Visit the journal homepage (http:// springer.com/12559) for instructions on submitting your research. ================================= Quarterly to Bi-monthly Issues, from 2015!! ================================= Due to continuously growing number of high quality submissions, the number of Issues has increased from four (quarterly Issues) to six (bi-monthly Issues) each year, starting Feb 2015! ======================================== The June 2015 Issue comprises two invited papers - the first by Guang-Bin Huang: "What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle", and the second by Asim Roy: "On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation"). These are followed by eight regular papers. The full listing of published articles (Table of Contents) for this June 2015 Issue can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://link.springer.com/journal/12559/7/3/ <http://link.springer.com/journal/12559/6/3/> A list of the journal's most downloaded articles (which can always be read for FREE) can be found here: http://www.springer .com/biomed/neuroscience/journal/12559?hideChart=1#realtime Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted All previous Volumes and Issues of the journal can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 ============================================ Reminder: Cognitive Computation "LinkedIn" Group: ============================================ To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has over 800 members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048 For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Marleen Moore: Marleen.Moore(a)springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately six-eight weeks of receipt. We also welcome relevant high quality proposals for Special Issues - four are already planned for 2015-16 (for CFPs, see: http://www.springer.com/biomed/neuroscience/journal/12559?detailsPage=press ) With our very best wishes to all aspiring readers and authors of Cognitive Computation, Professor Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu(a)cs.stir.ac.uk (University of Stirling, Scotland, UK) Professor Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) (Imperial College, London, UK) http://www.springer.com/12559 NEW: Open Access Springer/BMC journal: Big Data Analytics ( http://www.bdataanalytics.com/) - Now accepting submissions! NEW: Springer Series on Socio-Affective Computing: http://www.springer.com/series/13199 Also consider your work for related Book Series: SpringerBriefs on Cognitive Computation: http://www.springer .com/series/10374 ------------------------------------------------------------------------------------------------- Table of Contents Alert -- Cognitive Computation Vol 7 No 3, June 2015 -------------------------------------------------------------------------------------------------- -------------------------------------------------------------------------------------------------- What are Extreme Learning Machines? Filling the Gap Between Frank Rosenblatt’s Dream and John von Neumann’s Puzzle Guang-Bin Huang http://link.springer.com/article/10.1007/s12559-015-9333-0 On Findings of Category and Other Concept Cells in the Brain: Some Theoretical Perspectives on Mental Representation Asim Roy http://link.springer.com/article/10.1007/s12559-014-9307-7 Models for Computational Emotions from Psychological Theories Using Type I Fuzzy Logic Aladdin Ayesh, William Blewitt http://link.springer.com/article/10.1007/s12559-014-9287-7 Models for Computational Emotions from Psychological Theories Using Type-II Fuzzy Logic Aladdin Ayesh, William Blewitt http://link.springer.com/article/10.1007/s12559-014-9286-8 Is Attentional Refreshing in Working Memory Sequential? A Computational Modeling Approach Sophie Portrat, Benoît Lemaire http://link.springer.com/article/10.1007/s12559-014-9294-8 Uncertain Graph Classification Based on Extreme Learning Machine Donghong Han, Yachao Hu, Shuangshuang Ai, Guoren Wang http://link.springer.com/article/10.1007/s12559-014-9295-7 Optimization of Multiuser MIMO Cooperative Spectrum Sensing in Cognitive Radio Networks Yongqiang Hei, Wentao Li, Min Li, Zhuo Qiu, Weihong Fu http://link.springer.com/article/10.1007/s12559-014-9297-5 Word Polarity Disambiguation Using Bayesian Model and Opinion-Level Features Yunqing Xia, Erik Cambria, Amir Hussain, Huan Zhao http://link.springer.com/article/10.1007/s12559-014-9298-4 Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine Chi-Man Vong, Weng-Fai Ip, Chi-Chong Chiu, Pak-Kin Wong http://link.springer.com/article/10.1007/s12559-014-9301-0 Daniel D. Hutto and Erik Myin: Radicalizing Enactivism: Basic Minds without Content Paulo De Jesus http://link.springer.com/article/10.1007/s12559-014-9306-8 --------------------------------------------------------- Previous Issues/Archive: Overview: --------------------------------------------------------- All previous Volumes and Issues can be viewed here: http://link.springer.com/journal/volumesAndIssues/12559 Alternatively, the full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Rodney Douglas, Giacomo Indiveri, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ The full listing of Vol. 3, No. 3 / Sep 2011 (Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy), can be viewed here: http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ The full listing of Vol. 3, No. 4 / Dec 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/4/ The full listing of Vol. 4, No.1 / Mar 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/1/ The full listing of Vol. 4, No.2 / June 2012 can be viewed here: http://www.springerlink.com/content/1866-9956/4/2/ The full listing of Vol. 4, No.3 / Sep 2012 (Special Issue on: Computational Creativity, Intelligence and Autonomy, Edited by: J. Mark Bishop and Yasemin J. Erden) can be viewed here: http://www.springerlink.com/content/1866-9956/4/3/ The full listing of Vol. 4, No.4 / Dec 2012 (Special Issue titled: "Cognitive & Emotional Information Processing", Edited by: Stefano Squartini, Björn Schuller and Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/4/4/page/1 The full listing of Vol. 5, No.1 / March 2013 Special Issue titled: Computational Intelligence and Applications Guest Editors: Zhigang Zeng & Haibo He, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/1/page/1 The full listing of Vol. 5, No.2 / June 2013 Special Issue titled: Advances on Brain Inspired Computing, Guest Editors: Stefano Squartini, Sanqing Hu & Qingshan Liu, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/2/page/1 The full listing of Vol. 5, No.3 / Sep 2013 Special Issue titled: In Memory of John G Taylor: A Polymath Scholar, Guest Editors: Vassilis Cutsuridis & Amir Hussain, which is followed by a number of regular papers), can be viewed here: http://link.springer.com/journal/12559/5/3/page/1 The full listing of Vol. 5, No.4 / Dec 2013, which includes regular papers (including an invited paper by Professor Ron Sun, Rensselaer Polytechnic Institute, USA, titled: Moral Judgment, Human Motivation, and Neural Networks), and a Special Issue titled: Advanced Cognitive Systems Based on Nonlinear Analysis. Guest Editors: Carlos M. Travieso and Jesús B. Alonso, can be viewed here: http://link.springer.com/journal/12559/5/4/page/1 The full listing of Vol. 6, No.1 / Mar 2014, can be viewed here: http://link.springer.com/journal/12559/6/1/page/1 The full listing of Vol. 6, No.2 / June 2014, can be viewed here: http://link.springer.com/journal/12559/6/2/page/1 The full listing of Vol. 6, No.3 / Sep 2014, can be viewed here: http://link.springer.com/journal/12559/6/3/page/1 The full listing of Vol. 6, No.4 / Dec 2014 (Special Issue on Modeling emotion, behaviour and context in socially believable robots and ICT interfaces, Guest Editors: Anna Esposito, Leopoldina Fortunati, and Giuseppe Lugano) can be viewed here: http://link.springer.com/journal/12559/6/4/page/1 The full listing of Vol. 7, No.1 / Feb 2015 can be viewed here: http://link.springer.com/journal/12559/7/1/ (with the first six papers part of a Special Issue on "Neural Signal Processing", Guest Edited by: Jordi Sole´-Casals, Francois-Benoit Vialatte, Justin Dauwels. The Guest Editorial titled: "Alternative Techniques of Neural Signal Processing in Neuroengineering" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9317-0) The full listing of Vol. 7, No. 2 / April 2015, can be viewed here: http://link.springer.com/journal/12559/7/2/ This comprises a Special Issue on "Sentic Computing", Guest Edited by: E. Cambria and A. Hussain. The Guest Editorial titled: "Sentic Computing" is available (for free download) here: http://link.springer.com/article/10.1007/s12559-015-9325-0 -- The University is ranked in the QS World Rankings of the top 5% of universities in the world (QS World University Rankings, 2014) The University of Stirling is a charity registered in Scotland, number SC 011159.

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Reminder: Summer school on nonlinear methods, application deadline 10th of July
by Michael von Papen June 30, 2015

June 30, 2015

Dear all, This is a reminder for the upcoming Cologne Summer School on non-linear analysis methods for master's degree and PhD students. Deadline for applications is 10th of July, 2015. ------------------------------------------------------------------- Cologne Summer School 2015: *Non-Linear Methods for Complex Systems Analysis* Date: Mon-Fri 28.09-02.10.2015 Location: *University of Cologne*, Germany ------------------------------------------------------------------- This one-week summer school brings together *master's degree and PhD students from international universities* for an interdisciplinary hands-on learning experience. The workshop will introduce non-linear analysis methods using the Python toolbox pyunicorn. With the techniques presented in the summer school, such as complex networks and phase space concepts, the students will be able to characterize highly complex systems. Such systems are frequently encountered, e.g., in *biology, chemistry, economics, geoscience, neuroscience, and physics*. Lectures and computer labs will be led by Dr. Reik Donner and Marc Wiedermann from the Potsdam Institute for Climate Impact Research. For the complete program visit *complexsystems.uni-koeln.de/summerschool.html*. The application deadline is 10.07.2015. The summer school is organized by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne. Contact: Dr. Michael von Papen (/vonpapen(a)geo.uni-koeln.de/) ------------------------------------------------------------------- *Information* The Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne hosts a summer school to introduce novel and groundbreaking methods for the analysis of scientific data. For this matter, we bring together master's degree and PhD students from the University of Cologne and from international universities for an interdisciplinary learning experience. The aim of the summer school is not only to teach new analysis methods, but also to foster scientific collaboration and discussion between students of different fields of study. This year, the summer school of the Competence Area 3 will introduce non-linear analysis methods to study highly complex systems, which cannot be sufficiently characterized with linear methods. Such systems are frequently encountered, e.g., in biology, chemistry, economics, geoscience, neuroscience, and physics. The one-week summer school will take place from Monday to Friday, September 28 - October 2, at the University of Cologne, Germany. The strongly interdisciplinary hands-on course consists of lectures and computer labs and will provide the students with novel analysis techniques and concepts. Amongst others, the workshop will cover topics such as detrended fluctuation analysis, complex networks, scaling analysis, synchronization, transfer entropy, and causality, which help to characterize systems that are governed by non-linear processes. The summer school is led by *Dr. Reik Donner and Marc Wiedermann* from the *Potsdam Institute of Climate Impact Research* based on their lectures at the Humboldt University, Berlin, and their popular short-courses at the European Geosciences Union General Assembly. They will introduce the Python toolbox /pyunicorn/ for non-linear analysis along with prominent examples of modern analysis frameworks highlighting the methodological variety of complex systems based data analysis (see program below). The techniques that are taught in the summer school will be illustrated by applications to real-world data from different fields of study. The course materials will be made available to the participants after the course, including example codes for the platform-independent open-source software Python and the toolbox pyunicorn. The course will be held in English. For questions, please contact Mitch von Papen (vonpapen(a)geo.uni-koeln.de) *Program* The summer school consists of approximately the same amount of lectures and computer labs. During the lectures, the basics of the analysis methods are explained. Subsequently, these methods are applied to synthetic and real-world data in computer labs. The students work on a project in small groups and present and discuss their results at the end of the workshop. The students are introduced to the concepts of several non-linear analysis methods and will gain experience in applying the toolbox pyunicorn as well as in interpreting the results. Ideally, the summer school will enable the students to use the learned techniques on their own scientific data after the summer school. The approximate schedule for the summer school is given below. Note however, that changes may occur due to group dynamics. /Monday, September 28th/ 09:00 a.m. | Lecture 1: Introduction - linear vs. non-linear methods, Stationarity, uni- and multivariate correlation analysis, classical early warning methods, non-linearity tests and surrogate data 11:00 a.m. | Lecture 2: Long-range dependence and scaling analysis, Persistence and anti-persistence, power spectrum, Hurst exponent, detrended fluctuation analysis 02:00 p.m. | Tutorial 1: Introduction to Python, Why Python in science?, important packages for scientific computing, common data types, structure of pyunicorn 04:00 p.m. | Tutorial 2: Assignment of group projects, (6 groups a 5 persons) 07:00 p.m. | Social get-together at local brewery /Tuesday, September 29th/ 09:00 a.m. | Lecture 3: Introduction to complex networks, Mathematical representation of networks, structural network characteristics, basic network models, identification of power-laws, interconnected and multi-layer networks 11:00 a.m. | Lecture 4: Inferring networks from data, Functional network analysis (correlation networks, examples from climatology, neurophysiology and economics), visibility graphs 02:00 p.m. | Tutorial 3: tbd 04:00 p.m. | Tutorial 4: tbd /Wednesday, September 30th/ 09:00 a.m. | Lecture 5: Information theory and entropy, Basic concepts, Shannon-, Renyi- and Tsallis-entropies as statistical quantifiers, Kolmogorov-Sinai (source) entropy and estimation via block entropies, order patterns and permutation entropy, mutual information, transfer entropy and causality, independent component analysis 11:00 a.m. | Lecture 6: Synchronization, Definition and types of synchronization, phase synchronization: order parameters and phase dynamics from data, generalized synchronization 02:00 p.m. | Tutorial 5: tbd 04:00 p.m. | Tutorial 6: tbd /Thursday, October 1st/ 09:00 a.m. | Lecture 7: Phase space concepts, Phase space of dynamical systems, embedding, fractal dimensions, correlation integral and relation with entropies, entropy estimates from embedded data 11:00 a.m. | Lecture 8: Recurrence analysis, Recurrence in phase space; recurrence plots, quantification analysis and networks; multivariate generalizations; applications: synchronization analysis, coupling direction 02:00 p.m. | Tutorial 7: tbd 04:00 p.m. | Tutorial 8: tbd /Friday, October 2nd/ 09:00 a.m. | Presentation and discussion of projects 1-3 from the tutorials 11:00 a.m. | Presentation and discussion of projects 4-6 from the tutorials 02:00 p.m. | Open discussion: Outlook on contemporary developments in the field 03:30 p.m. | End of day 5: Farewell -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Pohligstr. 3 (R 3.224) 50969 Cologne Tel.: +49 (0)221 470-2841 Email: vonpapen(a)geo.uni-koeln.de http://complexsystems.uni-koeln.de

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