- Comp-neuro - lists.cnsorg.org

Workshop on parallel computing resource for modeling and brain image analysis
by Ted Carnevale Aug. 4, 2015

Aug. 4, 2015

What: Using the Neuroscience Gateway Portal for Parallel Simulations A Satellite Symposium at the 2015 Society for Neuroscience Meeting Where: Lodation to be announced in downtown Chicago, IL When: 9 AM - Noon on Saturday, October 17, 2014 Speakers to include: Amit Majumdar, Subha Sivagnanam, and Padraig Gleeson Registration deadline: Friday, October 2, 2015 This workshop is for neuroscientists who need to use parallel supercomputers for large modeling projects, or analysis and visualization of brain imaging data. With support from NSF, we have been developing the Neuroscience Gateway Portal (NSG) http://www.nsgportal.org/, which * provides free CPU time on NSF-supported high performance computing resources * has a browser-based interface that simplifies the tasks of uploading models, specifying job parameters, monitoring job status, and storing and retrieving output data * already has many widely-used simulatiors optimally installed and configured, including NEST, Pynn, Brian, GENESIS3, NEURON and MOOSE. Also available is the FreeSurfer suite of tools for analyzing and visualizing structural and functional brain imaging data. The workshop will combine didactic presentations by NSG's developers, discussions with experienced users, and hands on instruction in how to use the portal. Come find out how the NSG can be useful in your own research! For more information and the online registration form see http://www.neuron.yale.edu/neuron/static/courses/nsg2014/nsg2014.html --Ted

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Book: Bayes' Rule With MatLab
by James Stone Aug. 4, 2015

Aug. 4, 2015

I'd like to announce the publication of this book: Bayes' Rule With MatLab A Tutorial Introduction to Bayesian Analysis by JV Stone Reviews, synopsis, and table of contents can be found here: http://jim-stone.staff.shef.ac.uk/BookBayes2012/BayesRuleBookMain.html regards, Dr Jim Stone University of Sheffield, UK. http://jim-stone.staff.shef.ac.uk/BookBayes2012/books_by_jv_stone/index.html

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Job Posting: Research Engineer or Scientist in Machine Learning
by Behnood Gholami Aug. 4, 2015

Aug. 4, 2015

*Research Engineer/Scientist, Machine Learning* *AreteX Engineering – New York, NY* AreteX Engineering, a medical technology startup company accelerating the use of information technology in healthcare, has an immediate opening for a Research Engineer/Scientist in its office located in New York City, SoHo district. AreteX is a former resident of the Harvard Innovation Lab (ilab) and a current resident of the NYU Incubator. The company has received grants from the Department of Defense and the National Science Foundation. The position involves developing machine learning algorithms for innovative biomedical technologies involving physiological signal processing and big data. We are looking for a self-motivated, highly talented individual with an excellent background in machine learning (statistical learning theory). The successful candidate will work closely with a team of physicians, nurses, engineers, and scientists in designing new clinical decision support systems. Candidates with experience in the analysis of experimental data derived from---but not limited to---auditory/visual/cross-sensory psychophysical, EEG, ECG, and galvanic-skin conductance, data would be given a higher priority. *Minimum Requirements:* - MS or PhD in computer science, electrical engineering, biomedical engineering, applied mathematics, or a similar discipline. - Expertise and innovation in methods, theory, and application of machine learning and data mining with a broad understanding of methodological approaches and proficiency in practice. - Expert abilities to work with new data sets regardless of prior exposure to current topic. - Strong interest in research and learning new technologies. - Proficient at writing technical papers/reports/presentations. - Experience with Python. - Familiarity with large data sets, cloud-based development and deployment, open source practices and frameworks is a plus. - Applicants must be U.S. citizens, U.S. nationals or U.S. permanent residents. *Responsibilities* - Collaborate with a team of machine learning, control engineering, and signal processing researchers. - Provide technical expertise to address supervised and unsupervised learning problems in an applied research environment. - Develop and deploy modern machine learning and statistical methods (CART and Random Forests, deep learning, clustering and classification algorithms, Bayesian models, neural networks, support vector machines, and probabilistic graphical models) for finding patterns and models from physiological data. *Preferred Qualifications:* - Prior expertise and exposure using non-invasive human physiological measures such as EEG, ECG, galvanic-skin conductance, or other categorically similar methodologies. - Prior experience in feature extraction from physiological signals. - Experience working with quantitative methods of neural data analysis. - Experience with speech, audio, or video technologies. Send your cover letter and CV to info(a)aretexeng.com. -- -- Behnood Gholami, Ph.D. Chief Executive Officer AreteX Engineering 137 Varick St., 2nd Floor New York, NY 10013 Phone: (347) 774-1617

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The KARA ONE Database: Phonological Categories in imagined and articulated speech
by frank Aug. 3, 2015

Aug. 3, 2015

We are making 24 GB of a new dataset, called Kara One, freely available. This database combines 3 modalities (EEG, face tracking, and audio) during imagined and articulated speech using phonologically-relevant phonemic and single-word prompts. It is the result of a collaboration between the Toronto Rehabilitation Institute (in the University Health Network) and the Department of Computer Science at the University of Toronto. In the associated paper (abstract below), we show how to accurately classify imagined phonological categories solely from EEG data. Specifically, we obtain up to 90% accuracy in classifying imagined consonants from imagined vowels and up to 95% accuracy in classifying stimulus from active imagination states using advanced deep-belief networks. Data from 14 participants are available here: http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html [1]. If you have any questions, please contact Frank Rudzicz at frank(a)cs.toronto.edu. Best regards, Frank PAPER Shunan Zhao and Frank Rudzicz (2015) Classifying phonological categories in imagined and articulated speech. _In Proceedings of ICASSP 2015_, Brisbane Australia ABSTRACT This paper presents a new dataset combining 3 modalities (EEG, facial, and audio) during imagined and vocalized phonemic and single-word prompts. We pre-process the EEG data, compute features for all 3 modalities, and perform binary classiﬁcation of phonological categories using a combination of these modalities. For example, a deep-belief network obtains accuracies over 90% on identifying consonants, which is signiﬁcantly more accurate than two baseline support vector machines. We also classify between the different states (resting, stimuli, active thinking) of the recording, achieving accuracies of 95%. These data may be used to learn multimodal relationships, and to develop silent-speech and brain-computer interfaces. Links: ------ [1] http://www.cs.toronto.edu/~complingweb/data/karaOne/karaOne.html

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PhD Studentships – Centre for Robotics and Neural Systems (CRNS), Plymouth University, UK
by Roman Borisyuk Aug. 3, 2015

Aug. 3, 2015

PhD Studentships – Centre for Robotics and Neural Systems (CRNS), Plymouth University, UK Following on the exceptional performance of Plymouth University in the UK Research Excellence Framework 2014, the university is now advertising the availability of 50 PhD studentships for study commencing in 2015/16. Of these studentships, at least two will be allocated to research projects and supervisors of the Centre for Robotics and Neural Systems (CRNS), within the Faculty of Science and Engineering. The first studentship can cover any topic within the CRNS research areas: * Cognitive and Humanoid Robotics * Computational Neuroscience * Artificial Intelligence The second studentship will focus on Autonomous Systems, possibly with relevance to unmanned marine systems, and will be in collaboration with the School of Marine Science and Engineering: For more details on the CRNS research projects, interests and supervisors, see: https://www1.plymouth.ac.uk/research/crns/Pages/default.aspx For general information on the studentships and application procedure, see: https://www.plymouth.ac.uk/student-life/your-studies/the-graduate-school/fu… We recommend that in the application form and cover letter you specify a research topic and preferred supervisor. You are also encouraged to contact the individual supervisors before applying, for informal discussion. The application deadline is 15 September 2015 Roman Borisyuk, DSc, PhD Professor of Computational Neuroscience School of Computing and Mathematics University of Plymouth A224, Portland Sq Plymouth, PL4 8AA UK Phone: +44 (0) 1752 584949 E-mail: RBorisyuk(a)plymouth.ac.uk<mailto:RBorisyuk@plymouth.ac.uk> ________________________________ [http://www.plymouth.ac.uk/images/email_footer.gif]<http://www.plymouth.ac.uk/worldclass> This email and any files with it are confidential and intended solely for the use of the recipient to whom it is addressed. If you are not the intended recipient then copying, distribution or other use of the information contained is strictly prohibited and you should not rely on it. If you have received this email in error please let the sender know immediately and delete it from your system(s). Internet emails are not necessarily secure. While we take every care, Plymouth University accepts no responsibility for viruses and it is your responsibility to scan emails and their attachments. Plymouth University does not accept responsibility for any changes made after it was sent. Nothing in this email or its attachments constitutes an order for goods or services unless accompanied by an official order form.

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Call for participation NEUROMOD'2015, Neurotechnix'2015, 16-17 November, Lisbon
by Jaime Ibánez Pereda Aug. 2, 2015

Aug. 2, 2015

(Please accept our apologies if you receive multiple copies of this call) ******************************************************************************************* Dear colleagues, We are pleased to invite you to participate in the upcoming “Symposium on Neuromodulation-based Approaches for Neural Rehabilitation - NEUROMOD 2015”, to be held on November 16-17, at the Neurotechnix 2015 conference, in Lisbon. NEUROMOD website: http://www.neurotechnix.org/neuromod.aspx IMPORTANT DATES: Paper Submission: September 10, 2015 Authors Notification: September 25, 2015 Camera Ready and Registration: October 6, 2015 - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - DESCRIPTION Neuromodulation is a rapidly-growing field, encompassing the application of targeted electrical/chemical/biological stimuli to the nervous system in order to improve function and quality of life. At present, an increasing number of implantable and non-invasive techniques are being proposed and made available to the clinicians, to stimulate CNS plasticity and foster recovery from motor, neurological and psychiatric disorders. Advancing in the field of neuromodulation represents challenges to build accurate neurophysiological models, understanding mechanisms of neuromodulation at cellular and systems levels, defining optimal engineering methodologies, and developing clinical application to treat patients. This session provides an opportunity for researchers/engineers/clinicians to present and discuss novel neurorehabilitation paradigms based on neuromodulation targeted at the spinal and/or supraspinal level. Top quality papers at NEUROMOD will be eligible for inclusion in the post-congress IOP journal of best papers or even for the best-paper award to be presented at the main congress, NEUROTECHNIX. This special session/symposium is part of the International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX - http://www.neurotechnix.org/) which is sponsored by the Institute for Systems and Technologies of Information and Control and Communication (INSTICC) and held in Cooperation with the Associacao Portuguesa de EEG e Neurofisiologia ClÌnica (APEEGNC), Neurotech Network, International Neural Network Society (INNS), Nansen Neuroscience Network, World Federation for NeuroRehabilitation (WFNR), Sociedade Portuguesa de Neurologia (SPN), International Neuromodulation Society (INS), International Federation of Clinical Neurophysiology (IFCN) and International Brain Research Organization (IBRO). All accepted Extended Abstracts will be published in the Book of Abstracts of the congress and on CD-ROM support, without ISBN. All accepted Complete Papers (full and short) will be published in the Congress Proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The Congress Proceedings will be submitted to appropriate indexes for indexation. A short list of presented papers will be selected so that revised and extended versions of these papers may be published by IOP Publishing on Journal of Neural Engineering. With this workshop we would like to bring together different researchers already active in the development of new neuromodulation techniques and protocols, with the goal of identifying the optimal developments and assessment strategies to be targeted in future studies and applications. Please check further details at the Special Session website available at: http://www.neurotechnix.org/neuromod.aspx Should you have any question or suggestions please don't hesitate to contact us. CO-CHAIRS: Stefano Piazza, Neural Rehabilitation Group, CSIC, Spain Jaime Ibanez, Neural Rehabilitation Group, CSIC, Spain Julian Taylor, HNP Toledo, Spain and Stoke Mandeville Spinal Research, United Kingdom

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[publication and call for dialog] IEEE CIS Newsletter on Autonomous Mental Development, Spring 2015
by Pierre-Yves Oudeyer July 31, 2015

July 31, 2015

Dear colleagues, I am happy to announce the release of the latest issue of the IEEE CIS Newsletter on Autonomous Mental Development (open access). This is the biannual newsletter of the computational developmental sciences and developmental robotics community, studying mechanisms of lifelong learning and development in machines and humans. It is available at: https://flowers.inria.fr/AMDNL-V12-N1.pdf Featuring dialog: === “Will social robots need to be consciously aware?” === Dialog Initiated by Janet Wiles, with responses from Axel Cleeremans, Yasuko Kitano, Cornelius Weber and Stefan Wermter, Justin Hart and Brian Scassellati, Juyang Weng, Guy Hoffman and Moran Cerf. Several dimensions of the question stand out. First, as we are very far from understanding what “consciousness” is, it appears that building robots capable of various forms of self- and other- awareness, and importantly how they can develop progressively these capabilities, can be very useful in the quest to unveil the underlying mechanisms. Second, as consciousness is a multiscale complex systems, multiple approaches and perspectives need to be taken in this process of robot building. Third, when one looks at applications, it is the function, and not the nature, of consciousness which becomes the relevant angle of analysis, and several ethical questions arise. Call for new dialog: === "Representational redescription: the next challenge?" === New dialog initiated by Stéphane Doncieux It has long been known in AI that having a good representation is key for machines to solve complex problems. However, so far good representations have been pre-programmed by engineers. What technical approaches could we imagine to allow machines to select, and even more important to find, new spaces of representations? Are techniques like deep learning general enough for realising such a challenge for lifelong learning robots? Do we need other approaches such as Darwinian mechanisms operating in the brain, like in neural Darwinism? Those of you interested in reacting to this dialogue initiation are welcome to submit a response by October 30th, 2015. length of each response must be between 600 and 800 words including references (contact pierre-yves.oudeyer(a)inria.fr) You will also find news about the latest activities of the AMD Technical Committee and the ICDL-Epirob 2015 conference, and a call for candidates to become the new editor of the newsletter. As I have been editor of the newsletter for around 8 years, and I have now the AMD TC Chair duty, it is now time for other ideas and energies to take the lead of the newsletter. I take this opportunity to thank Fabien Benureau for his help as editorial assistant. Let me remind you that previous issues of the newsletter are all open-access and available at: http://www.cse.msu.edu/amdtc/amdnl/ I wish you a stimulating reading! Best regards, Pierre-Yves Oudeyer, Editor of the IEEE CIS Newsletter on Autonomous Mental Development Chair of the IEEE CIS AMD Technical Committee on AMD Research director, Inria Head of Flower project-team Inria and Ensta ParisTech, France http://www.pyoudeyer.com https://flowers.inria.fr http://www.poppy-project.org

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Call for participation: SASO'15, 21-25 September, MIT, Cambridge, Massachusetts
by F. Armetta July 29, 2015

July 29, 2015

(Please accept our apologies if you receive multiple copies of this call) ***************************************************************************************** CALL FOR PARTICIPATION The Ninth IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2015) MIT, Cambridge, Massachusetts; 21-25 September 2015 https://saso2015.mit.edu/ Part of FAS* -- Foundation and Applications of Self-* Computing Conferences Co-located with: The International Conference on Cloud and Autonomic Computing (CAC 2015) The 15th IEEE Peer-to-Peer Computing Conference (P2P 2015) ***************************************************************************************** GREATLY REDUCED HOTEL RATES AVAILABLE TILL AUGUST 21! The 2015 edition of the SASO conference series will be held in Cambridge, Massachusetts, and hosted by MIT in the week of September 21 to September 25, 2015. The aim of the Self-Adaptive and Self-Organizing systems conference series (SASO) is to provide a forum for the foundations of a principled approach to engineering systems, networks and services based on self-adaptation and self-organization. The ninth edition of the SASO conference embraces the inter-disciplinarity and the scientific, empirical and application dimensions of self-* systems; it thus aims to attract participants with different backgrounds, to foster cross-pollination between research fields, and to expose and discuss innovative theories, design principles, frameworks, methodologies, tools, and applications. -------------------- Registration -------------------- The Early Registration deadline is September 4, 2015. Deadline for reduced hotel rates is August 21, 2015. Registration is available at: https://saso2015.mit.edu/registration A single registration fee includes access to the main conference, tutorials, workshops, and the doctoral symposium. Moreover, it includes a conference kit with electronic proceedings, all coffee breaks, lunches, free entrance to the Welcome Reception and Conference Dinner. -------------------- Technical Program -------------------- We are happy to announce that we will be able to offer six keynotes together with CAC and P2P, including among others: * Albert-László Barabási, Center for Complex Network Research - Barabási Lab, Northeastern University Physics Department * Yang-Yu Liu, Harvard Medical School * Azer Bestavros, Boston University * Ozalp Babaoglu, University of Bologna. Full papers: * An Approach to Robust Resource Allocation in Large-Scale Systems of Systems * Multi-satellite mission planning using a self-adaptive multi-agent system * Distributed Recovery for Enterprise Services * Self-organising Zooms for Decentralised Redundancy Management in Visual Sensor Networks * Active Learning for Efficient Sampling of Control Models of Collectives * Distributed Current Flow Betweenness Centrality * Multi-agent Self-organization and Reorganization to Adapt M2M Infrastructures * Darwin in Smart Power Grids - Evolutionary Game Theory for Analyzing Self-Organization in Demand-Side Aggregation * A Generic Social Capital Framework for Optimising Self-Organised Collective Action * Foraging-inspired Self-organisation for Terrain Exploration with Failure-prone Agents * Efficient Engineering of Complex Self-Organizing Systems by Self-Stabilising Fields * PeerMatcher: Decentralized Partnership Formation * Combining Conflicting Environmental and Task Requirements in Evolutionary Robotics * Self-managed sensor network scheduling using Bayesian dynamic linear models Short papers: * A Mutual Influence Detection Algorithm for Systems with Local Performance Measurement * Value-Sensitive Design of Self-Organisation * Ashbian homeostasis as non-autonomous adaptation * Reciprocal Agents for Self-Organization in Large-Scale Allocation Problems Posters: * Social Amoeba Dictyostelium Discoideum As an Inspiration for Swarm Robotics * Creating Complex Applications Via Self-Adapting Autonomous Agents in an Intelligent System Framework * Self-directed weight management by feedback from a self-adaptive metabolic health monitoring system * Cyber-Physical-Social System Self-Organization: Ontology-Based Multi-Level Approach and Case Study * Citizen-driven flood mapping in Jakarta - A self-organising socio-technical system * Hierarchical Service-Oriented Architecture for Development of Autonomic Systems * Sustainable Safety in Mobile Multi-Robot Systems via Collective Adaptation * Towards a spatial language for run-time assessments in self-organizing systems Demo: * Towards Self-Adaptation on Real-World Hardware: a Preliminary Lightweight Programming Framework In addition, six workshops are planned to be available to conference attendees free of charge: * 3rd Workshop on Fundamentals of Collective Adaptive Systems (FoCAS) http://focas.eu/saso-2015/ * 2nd Workshop on Quality Assurance for Self-Adaptive, Self-Organising Systems (QA4SASO) http://qa4saso.isse.de * 1st Workshop on Spatial and COllective PErvasive Computing Systems (SCOPES) http://www.spatial-computing.org/scopes * 9th Workshop on Dynamic Software Product Lines (DSPL) http://www.lero.ie/dspl2015 * Workshop on Diagnosing, Reacting, Evading And Manoeuvring (DREAM) http://www.dollabs.com/saso2015ahansdreamworkshop * 3rd Workshop on Self-Adaptive and Self-Organising Socio-Technical Systems (SASO^ST) http://sasost.isse.de Several tutorials, including: * "Enabling Software-Defined Federations using CometCloud". Organizers: Javier Diaz-Montes, Manish Parashar (Rutgers University) * "Fundamentals of Autonomic Cloud Security". Organizer: Salim Hariri (University of Arizona) Doctoral symposium, including research ideas on: * Cross layer Anomaly based intrusion detection system * Testing Self-Organizing, Adaptive Systems * Incentive Mechanisms for Social Computing * Quality trade-offs in self-protecting systems * Network Attack Detection and Mitigation * Multi-Agent Collaboration in Distributed Self-Adaptive Systems * Keynote by Dr. Jeremy Pitt (Imperial College London): "How To Get a PhD in Self-Organizing Systems" The detailed program of scientific papers and posters is available at: https://saso2015.mit.edu/accepted-papers -------------------- Social events -------------------- Welcome Reception at the MIT Museum (Tuesday) http://web.mit.edu/museum/ Dinner Cruise in Boston Bay (Wednesday) -------------------- Venue and accommodation -------------------- The conference will take place at the Boston Marriott Cambridge Hotel at the edge of the Massachusetts Institute of Technology. There are special rates available for participants. For more information, please refer to http://saso2015.mit.edu/venue Greatly reduced rates for rooms at the conference hotel are available until August 21. Details are available at http://saso2015.mit.edu/venue Hotels near the venue may be found at the MIT Institute Events site: http://web.mit.edu/institute-events/visitor/stay.html --------------------- Organisation --------------------- General Chairs Howard E Shrobe, MIT CSAIL, Cambridge, MA, USA Julie A McCann, Imperial College London, UK Programme Chairs Gregory Sullivan, Draper Labs, Cambridge, MA, USA Emma Hart, Director CEC, Edingurgh Napier University, Edinburgh, Scotland Jan-Philipp Steghöfer, University of Gothenburg and Chalmers Technical University, Gothenburg, Sweden Local Arrangements Chair Paul Robertson, Dynamic Object Labs, Lexington, MA, USA

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Four faculty positions in statistics and stochastics
by Robert Rosenbaum July 27, 2015

July 27, 2015

The Department of Applied and Computational Mathematics and Statistics at the University of Notre Dame is seeking applications for a total of four faculty positions, three in statistics and one in stochastics. Ideally, one of the statistics positions will be at the post-tenure level (associate or full professor) and the remainder will be tenure track (assistant professor). The department is highly supportive of collaborative and interdisciplinary research and encourages applications from computational neuroscientists. Feel free to contact me (Robert.Rosenbaum(a)nd.edu) with general questions about the department, etc. Applicants for the post-tenure job are invited to contact the chair, Andrew Sommese (sommese(a)nd.edu) For more information and to apply, see here for statistics: http://apply.interfolio.com/30595 and here for stochastics: http://apply.interfolio.com/30609 — Robert Rosenbaum Assistant Professor Department of Applied and Computational Mathematics and Statistics University of Notre Dame

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IEEE Computational Intelligence Magazine (CIM) Special Issue: “Model Complexity, Regularization and Sparsity”
by Giacomo Boracchi July 26, 2015

July 26, 2015

*Call for Papers* *IEEE Computational Intelligence Magazine* *Special Issue on “Model Complexity, Regularization and Sparsity”* http://home.deib.polimi.it/boracchi/events/ModelComplexity.html *Aims and Scope* The effective management of solution complexity is one of the most important issues in addressing Computational Intelligence problems. Regularization techniques control model complexity by taking advantage of some prior information regarding the problem at hand, represented as penalty expressions that impose these properties on the solution. Over the past few years, one of the most prominent and successful types of regularization has been based on the *sparsity* prior, which promotes solutions that can be expressed as a linear combination of a few atoms belonging to a *dictionary*. Sparsity can in some sense be considered a “measure of simplicity“ and, as such, is compatible with many nature-inspired principles of Computational Intelligence. Nowadays, sparsity has become one of the leading approaches for learning adaptive representations for both descriptive and discriminative tasks, and has been shown to be particularly effective when dealing with structured, complex and high-dimensional data. Regularization, including sparsity and other priors to control the model complexity, is often the key ingredient in the successful solution of difficult problems; it is therefore not surprising that these aspects have also recently gained a lot of attention in big-data processing, due to unprecedented challenges associated with the need to handle massive datastreams that are possibly high-dimensional and organized in complex structures. This special issue aims at presenting the most relevant regularization techniques and approaches to control model complexity in Computational Intelligence. Submissions of papers presenting regularization methods for Neural Networks, Evolutionary Computation or Fuzzy Systems, are welcome. Submissions of papers presenting advanced regularization techniques in specific, but relevant, application fields such as data/datastream-mining, classification, big-data analytics, image/signal analysis, natural-language processing, are also encouraged. *Topics of Interest* · Regularization methods for big and high-dimensional data; · Regularization methods for supervised and unsupervised learning; · Regularization methods for ill-posed problems in Computational Intelligence; · Techniques to control model complexity; · Sparse representations in Computational Intelligence; · Managing model complexity in data analytics; · Effective priors for solving Computational Intelligence problems; · Multiple prior integration; · Regularization in kernel methods and support vector machines. *Important Dates* · 22nd January, 2016: Submission of Manuscripts · 30th March, 2016: Notification of Review Results · 30th April, 2016: Submission of Revised Manuscripts · 15th June, 2016: Submission of Final Manuscripts · November, 2016: Special Issue Publication *Submission Process* The maximum length for the manuscript is typically 20 pages in single column with double-spacing, including figures and references. Authors of papers should specify in the first page of their manuscripts the corresponding author’s contact and up to 5 keywords. Additional information about submission guidelines and information for authors is provided at the IEEE CIM website. <http://cis.ieee.org/ieee-computational-intelligence-magazine/134-ieee-compu…> Submission instructions can be found at http://home.deib.polimi.it/boracchi/events/ModelComplexity.html <https://easychair.org/conferences/?conf=ieeecim1116> *Guest Editors* *Prof. Cesare Alippi,* Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: cesare.alippi(a)polimi.it *Dr. Giacomo Boracchi*, Dipartimento di Elettronica, Informazione e Biongegneria, Politecnico di Milano, via Ponzio 34/5, Milano, 20133, Italy email: giacomo.boracchi(a)polimi.it *Dr. Brendt Wohlberg*, Theoretical Division, Los Alamos National Laboratory, Los Alamos NM 87545, USA email: brendt(a)lanl.gov -- Giacomo Boracchi, PhD DEIB - Dipartimento di Elettronica, Informazione e Bioingegneria Politecnico di Milano Via Ponzio, 34/5 20133 Milano, Italy. Tel. +39 02 2399 3467 http://home.dei.polimi.it/boracchi/

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